PE Firm AI Framework

How I staff Agentic AI Bots across the firm: managers by org level, 147 AI Bot Jobs as AI Specialist skills, bridge first on every agency tool, then migrate to preferred platforms over time.

147 AI Bot Jobs 8–15 manager Agentic AI Bots Catalog v2.6 Bridge first, migrate later
Overview

PE Firm AI Framework

How I use Agentic AI Bots across the firm: from PE Leadership down to marketing services and verified results.

Off Portfolio Commander
LEVEL 2 · ACQUISITIONS
Deal Factory
Find targets, diligence, and integration planning as AI Specialist skills under one lead: a repeatable buy playbook.
LEVEL 3 · VALUE CREATION
Post-close improvement
Raise margins after close: find waste, redesign work, automate with proof under the PMO.
LEVEL 4 · FINANCE
Finance & back office
Entity books, billing leaks, media cash: clean close and clear exception queues.
LEVEL 1 · OVERSIGHT
Weekly Flash · risk · board
Early weekly pulse on cash, margin, client risk, and delivery, plus risk and board packs.
LEVEL 10 · OPTIONAL
Fund / LP ops
LP reporting and fund ops: last, or skip if running an AI Bot PE Studio only.
Level 1 · PE / Portfolio Leadership
PE Leadership
Partners · investment committee · Op Partner · CFO: set the thesis and lead the portfolio
1.1 · PORTFOLIO COMMANDER
Portfolio Commander layer
One clear view across owned agencies: cash, retention, delivery trouble, deal progress.
6.1 · AGENCY HUB
Agency / Delivery Hub
Day-to-day delivery for one hub: client promises, capacity, and exceptions.
LEVEL 6–7 · STRATEGY + DEPT MANAGERS
Client Strategy & Department Managers
Turn client goals into assignments for Paid Media, Creative, Copy, Web/CRO and peers.
MARKETING SKILLS · ON DEMAND
Marketing specialists via skills
Reusable playbooks for a named client (ads, design, copy, web, research) under managers.
Delivery QA → Verified Results
Independent check, then ship. Work reaches the client only after the gate.
Under Agency Hub
LEVEL 5 · COE / SHARED STANDARDS
Center of Excellence
Shared connectors, vault, measurement, and access rules into every hub.
6.2 · CLIENT COORDINATION
Client Success
Renewals, health scores, early leave signals. Protects earnouts after close.
REPORTING
Client & hub reporting
Status packs and performance views: one scoreboard for the hub and the client.
LEVEL 8 · DELIVERY & QA
Delivery QA (release gate)
Independent check before work goes to a client: brief, brand, legal, tracking.
LEVEL 9 · GROWTH
Agency growth & people
Business development, partners, and people admin for the firm, not client campaign work.
Summary

Executive summary by level

How I staff Agentic AI Bots across the PE firm, ready for partner use.

LEVEL 1

PE / Portfolio Leadership

Portfolio Commander + Weekly Flash; oversight skills for board, risk, IC packs.

LEVEL 2–3

Acquisitions & Improvement

Deal Factory lead + diligence skills; Value Creation PMO + diagnostic/redesign skills.

LEVEL 4–5

Finance & COE

Finance Lead over 4.x skills; COE Lead over shared connectors, vault, measurement.

LEVEL 6

Agency & Clients

Hub Manager, Client Success, Client Strategy: protect renewals and earnouts.

LEVEL 7

Marketing Production

Department manager Agentic AI Bots (brand, media, creative, copy, web…) + AI Specialist skills.

LEVEL 8–9

Delivery, QA, Growth

Traffic, measurement, Delivery QA gate; agency BD and people admin.

LEVEL 10

Fund / LP (optional)

Investor ops if a fund exists; otherwise skip.

Operating path
PE Leadership
Portfolio Commander (+ Deal · Finance · COE)
Agency Hub · Client Success · Strategy
Manager Agentic AI Bots → AI Specialist skills
Delivery QA → Verified Results
HOW THE STACK WORKS

Manager Agentic AI Bots · AI Specialist skills underneath

Portfolio Commander, Weekly Flash, Agency Hub, Client Success, and Delivery QA sit near the top of the operating path.

Deal Factory, Finance, the Center of Excellence, and marketing department managers fill out the rest of the firm.

About 8–15 manager Agentic AI Bots cover the org; the full catalog of 147 AI Bot Jobs runs as AI Specialist skills under them.

Economics

What it costs to run the Agentic AI stack

Estimates for one ~$1M EBITDA agency and the shared AI Bot PE Studio layer. Published seat and frontier token rates, Sep 2026.

Agency base
$350–450
per month · ~$1M EBITDA hub
Agency range
$210–1,500
low / base / high use
PE shared steady
$450–1,200
Portfolio · Deal · Finance · COE
vs $1M EBITDA
~0.4–0.6%
base agency run-rate
Per agency · seats + tokens

About 2–3 operator seats (Standard ~$40/mo, Premium ~$120/mo) → seats ~$160–$200. Tokens / on-demand at frontier rates ~$2 input / $6 output per 1M tokens → base ~$150–250/mo. Base total ~$350–450/mo (range ~$210–$1,500).

CaseSeatsTokensTotal / mo
Low use$160$50–80~$210–280
Base (daily)$160–200$150–250~$350–450
High / stress$200–360$450–1,200~$650–1,500
Annual (base)vs ~$1M EBITDA~$4–5.5k · ~0.5%

Base token math (transparent): ~100 runs/day × 30 days × (20k in × $2 + 4k out × $6) / 1M ≈ $192/mo before cache; cache and lighter runs pull the base band toward ~$150–250.

Shared AI Bot PE Studio layer

Portfolio Commander, Weekly Flash, Deal Factory, Finance Lead, and COE share a small seat pool across N agencies. Deal diligence is bursty.

LayerEst. $/mo
Portfolio Commander + Flash + board packs$150–400
Deal Factory (idle / between deals)$100–300
Finance + COE standards$200–500
Steady PE shared~$450–1,200
Per live diligence window (add-on)+$0.5–3k

At 5 agencies, shared PE steady ≈ $90–240 per agency / month. At 20 agencies ≈ $25–60.

WHY NOT 147 ALWAYS-ON

Order-of-magnitude contrast

If every catalog job were a noisy always-on peer (same seats but 5–10× token chatter, or worse if seat-per-bot), tokens alone can land around $2k–8k+ per agency / month. The lean model (manager Agentic AI Bots + on-demand AI Specialist skills) is what keeps run-rate near half a percent of EBITDA.

5-AGENCY ROLL-UP (EXAMPLE)

5 × ~$400 agency base ≈ $2,000
PE shared steady ≈ $800
Diligence avg (4 deals/yr × ~$1.5k) ≈ $500
Portfolio ≈ $3.3k/mo · ~$40k/yr
vs $5M combined EBITDA ≈ ~0.8%

Headcount math · ~$1M EBITDA digital agency

The base run-rate above uses 2–3 operator seats, not one seat per employee. For partners who want the all-hands view, here is the employee count I use and the per-employee AI cost if every FTE had a seat.

Planning headcount
~30 FTEs
band ~25–35 · see math below
Per employee / mo
~$45–55
Standard seat + lean shared tokens
All-hands agency / mo
~$1,350–1,450
~30 × Standard + lean token pool
StepFigureHow I get there
Target EBITDA~$1MAgency size in this framework
Implied net fee revenue~$5MAt ~20% EBITDA margin (PE underwriting target for healthy agencies)
Revenue per FTE~$163KMarketing-agency average, Promethean Research 2026 (2025 performance)
Implied headcount~$5M / $163K ≈ 31Planning midpoint ~30 FTEs (band ~25–35)
Cross-check10–25 staffFE International: typical staff for $0.5–1M EBITDA digital marketing agencies (can run leaner)
Seat per FTE (Standard)$40 / moPublished Teams Standard list price
Seat per FTE (Premium)$120 / moPublished Teams Premium list price
Tokens per FTE (lean share)~$5–8 / moBase agency token band $150–250 ÷ ~30 FTEs (managers + skills still do most heavy runs)
Per FTE all-in (Standard + lean tokens)~$45–55 / mo · agency ~$1,350–1,450 if all ~30 seated Standard

Read: lean operator model (~$350–450) is the design I run. All-hands seating (~$1.4k/mo at Standard) is the sensitivity if every employee gets a login. If every FTE also runs heavy personal token load (not just shared managers/skills), token spend scales up from the lean pool; Premium seats scale the seat line to ~$120 × headcount.

Sources and assumptions (estimates). Headcount: Promethean Research, 2026 State of Digital Services (survey of 119 agency leaders; marketing agencies averaged ~$163K revenue per FTE in 2025; sample average agency ~31 employees / ~$4.43M revenue). Cross-check: FE International digital marketing agency valuation guide (2026): agencies at ~$0.5–1M EBITDA typically have ~10–25 people. Revenue bridge: ~$1M EBITDA ÷ ~20% EBITDA margin ≈ ~$5M net fee revenue (20% is a common PE underwriting target for healthy agencies; industry average after-tax net margin is lower, ~13% in the same Promethean sample). Seats / tokens: Published Agentic AI platform Teams seats $40 Standard / $120 Premium per user / month (annual ~$32 / ~$96). Frontier model list rates used here: about $2 input / $6 output per 1M tokens (long prompts can double). Mid-tier agent models can run nearer $1.25 / $2.50 per 1M when quality allows. Usage bands assume frequent daily agency work; on-demand overage applies after included seat pools. Treat these as planning estimates; live invoices on a pilot set the actuals.
Operating approach

Bridge first, migrate later

Day one: connect every tool that runs the agency that was just acquired. The same would apply to each acquisition in the roll-up. Agentic AI adds value immediately. Over time: streamline onto preferred platforms across the portfolio.

Bridge first, migrate later
When I buy an agency, I do not rip out their stack on day one. The bridge covers all agency business tools: CRM, email, project tools, accounting, ads platforms, analytics, file stores, chat, and the rest of the SaaS stack. HubSpot / CRM below is one worked example, not the whole idea. Agentic AI adds value immediately in the transition: cost savings and efficiency land before any platform shift, because bots connect to whatever already runs. Later, like most PE firms, I centralize owned agencies onto preferred platforms category by category under the AI Bot PE Studio for shared standards, reporting, and operating leverage. That second wave of savings comes from streamlining platforms, on top of the day-one Agentic AI gains.
DAY ONE · VALUE NOW

Agentic AI Bots work on the mixed stack in place

Connectors plug into the tools each agency already uses. Lead response, follow-ups, billing leaks, seat waste, delivery exceptions, and reporting tighten without a forced cutover at close. Partners see cost and efficiency gains while the agency keeps serving clients on familiar systems.

LATER · PE-STYLE CENTRALIZE

Preferred platforms category by category

When a preferred platform clearly wins on margin, control, or speed, I migrate that category across owned agencies. Bridge first keeps value flowing until the move earns itself. Platform cutover is already covered under Acquisitions and Shared Standards (see callout below).

Day one · connect the whole stack in place
Agency A · mixed stack
Example: HubSpot + Gmail + Asana + QuickBooks. Agentic AI connects in place. No rip-and-replace.
Agency B · different vendors
Example: Salesforce + Outlook + Monday + Xero. Same bridge pattern on whatever they already run.
Agency C · lighter stack
Example: Pipedrive + shared inbox + spreadsheets. Day-one tool choice does not block Agentic AI gains.
Over time:
streamline
Later · preferred platforms (PE-style centralize)
Agencies A + B + C · shared standards
Consolidate category by category (CRM example: HubSpot; plus preferred email, PM, books, ads) under the AI Bot PE Studio.

Migrate a category when the preferred platform clearly wins on margin, control, or speed. Bridge first keeps value flowing until then.

Worked example · HubSpot CRM (one category of many)

Same bridge logic applies to email, project tools, accounting, ads platforms, analytics, file stores, chat, and other SaaS. Story for CRM only: I buy an agency on HubSpot. They keep HubSpot. Agentic AI Bots connect and tighten lead management, time-to-respond, communication, and the sales process. Later, peer agencies on other CRMs can land on the same HubSpot standard.

1 · Close
PE firm buys the agency
Deal closes. Current tools stay live.
2 · Keep stack
Tools stay as-is
No forced cutover. HubSpot stays the CRM example here.
3 · Connect
Agentic AI plugs in
Connectors to CRM and the rest of the stack under least privilege.
4 · Improve
Ops get tighter
Faster leads, cleaner follow-ups; same idea across other tools.
5 · Later
Prefer platforms
Centralize category by category when it earns the move.
Platform cutover is already in the catalog. Migration-related AI Bot Jobs sit under Acquisitions and Shared Standards: 2.5 Tech/Access Scanner, 2.6 Integration Planner, 5.6 Procurement & Stack, 5.9 Migration Orchestrator, and 4.5 SaaS Sprawl Killer. I can deepen those AI Bot Jobs as the preferred-platform program matures. No separate org level is required.
How it works

Agentic AI structure

How manager Agentic AI Bots, skills, routines, threads, and shared systems of record fit together.

1 · MANAGER AGENTIC AI BOTS

Own the queue and escalations

Always-on owners for a level of the firm (portfolio, hub, department, finance). They hold the brief, the exception list, and who must decide next. Partners talk to a few managers, not to every specialist.

2 · SKILLS

Specialist AI Bot Jobs on demand

Catalog specialists (diligence, Google Ads, design, research) start under a manager when scoped work exists for a named client or live deal. They finish into that manager's queue; they do not invent a second chain of command.

3 · ROUTINES

Scheduled checks, quiet unless red

Standing jobs on a clock: weekly flash, covenant watch, renewal calendar, seat inventory, tracking QA. Routines write structured updates into the same systems managers already read. Noise stays off the partner desk until something breaks a threshold.

Threads (how work passes without chaos)

A thread is a durable work lane with a standing brief, the right connectors, and a clear owner (for example Deal: Agency Name, Hub: Dallas, or Client: Acme retainers). It is not a one-off chat ask that disappears.

Handoffs stay named

Diligence packs land in the deal thread; the Integration Planner and Hub pick up the same artifacts. No re-brief from scratch.

Queues, not free-for-all

Each manager owns one exception queue. AI Specialist skills post results into that queue. Portfolio managers escalate; they do not silently edit a live campaign.

Lifecycle of a thread

Open for a deal, hub, or client program; archive when the scorecard or engagement closes. Institutional memory stays in the system of record.

Guardrails between layers

Back-office threads never talk to clients. Delivery threads never release payroll or wires. Portfolio threads watch the book; hubs run the shop.

How files and data are stored

One shared stack per category. Agentic AI Bots read and write through connectors into systems of record, with client-scoped access. Chat is a workbench, not the filing cabinet.

Systems of record (spine)

Finance books, project/delivery board, CRM, shared email and chat, knowledge base, creative brand vault, ads platforms, analytics, HR/payroll, time and billing, and a password vault. Prefer one tool per category over time. Day one is connect and improve, not a forced rip-and-replace.

Connecting outside tools

API connectors when the system has a real API. No API / export paths when that is all you get. Attended computer use when neither works well yet: a secured virtual machine navigates the vendor UI with approvals on money, clients, or access. Credentials live in the vault.

What good looks like

Flash packs, diligence binders, and QA checklists land where the next manager already looks, not in private chat files.

Operating model

How I use Agentic AI Bots across the firm

Organize by AI Bot Job type and org level: from the AI Bot PE Studio down to marketing production inside each agency.

LEVEL 1
PE / Portfolio Leadership
Portfolio Commander and Weekly Flash hold the book view; oversight skills cover risk, board packs, and capital briefs.
LEVEL 2–3
Acquisitions & Improvement
Deal Factory for buys; Value Creation PMO for margin projects after close.
LEVEL 4–5
Finance & COE
Finance Lead over entity books; Center of Excellence (COE) for shared connectors, vault, and measurement.
LEVEL 6
Agency & Clients
Hub Manager, Client Success, Client Strategy: delivery promises, renewals, earnouts.
LEVEL 7
Marketing Production
Department manager Agentic AI Bots (media, creative, copy, web…) with AI Specialist skills underneath.
LEVEL 8–9
Delivery, QA, Growth
Traffic, measurement, Delivery QA gate; agency BD and people admin.
LEVEL 10
Fund / LP (optional)
Investor ops if a fund exists; otherwise skip.
LEVEL ·
How work runs
Managers by level stay on; catalog AI Bot Jobs start as AI Specialist skills when scoped work exists.
Read the level sections below. Each section names the manager Agentic AI Bots for that part of the firm and the AI Specialist skills that sit under them. Plain AI Bot Job descriptions, not slogans. Core managers near the top of the stack: Portfolio Commander, Weekly Flash, Hub, Client Success, and Delivery QA.
Level 1

PE Portfolio Oversight

AI Bot PE Studio view of cash, retention, delivery heat, deals, and board-ready packs across owned agencies.

Manager Agentic AI Bots
1.1 · MANAGER

Portfolio Commander

One clear view across owned agencies: cash, client retention, delivery trouble, and deal progress. Surfaces the decisions that matter when money or clients are at risk.

1.2 · MANAGER

Weekly Flash

Short weekly snapshot of revenue, margin, client risk, and delivery issues, before the monthly books close. Management view, not audited financials.

1.4 · MANAGER

Value Creation PMO

Keeps value-creation projects moving: raise margins after close from idea to proven result. Diagnostic and redesign work runs as AI Specialist skills under this manager.

AI skills & routines under oversight

Started when needed: covenant watch, concentration checks, board drafts, IC packs, exit readiness. Weekly Flash skills and routines feed the same command surface.

1.3 · Treasury & Covenants

Help the business see a cash shortage before payments become due.

1.5 · Margin Guardian

Find out which clients and delivery teams actually make money.

1.6 · Concentration Sentinel

Reveal where the portfolio depends too heavily on one source of revenue or one vulnerable resource.

1.7 · Delivery Heatmap

Make delivery trouble visible across teams before missed deadlines and repeated errors become client losses.

1.8 · Talent & Capacity

Match available people and skills to work already promised, new sales and acquisition transitions.

1.9 · Integration Scorekeeper

Check whether an acquisition is genuinely becoming stable, not simply whether its integration checklist looks complete.

1.10 · Cross-Hub Insight

Help one delivery hub benefit from relevant experience or client opportunities elsewhere in the group.

1.11 · Board Pack Autodraft

Turn approved financial and operating information into a clear package for directors and company investors to review.

1.12 · Capital Allocation Brief

Help the partners choose between competing uses of money and understand the funding and ownership consequences.

1.13 · IC Underwriter

Challenge a proposed acquisition before the firm commits money.

1.14 · Deal Ledger

Keep the buyer's contractual purchase obligations accurate after closing.

1.15 · Risk & Insurance

Keep business risks tied to responsible people and deadlines, rather than scattered across contracts.

1.16 · Portfolio Cyber

Give leadership a portfolio-wide security picture without exposing every agency's systems and client records.

1.17 · Exit Readiness

Make the business easier for a future buyer to investigate by keeping evidence of clients, profit.

Levels 2–3

Acquisitions + Post-close Improvement

Deal Factory for buys; Value Creation PMO for margin projects after close.

Level 2 · Deal Factory
2.x · MANAGER

Deal Factory Lead

Runs the buy side: find targets, diligence (deep review before a buy), and the integration plan. Financial, ops, and client-risk specialists come in as AI Specialist skills on a live deal.

Diligence & integration skills (on a live deal):

2.1 · Target Scout

Find businesses worth evaluating and distinguish a foundation agency from a smaller client-book addition that can fit.

2.2 · Financial Diligence

Test how much of the seller's reported profit a buyer could reasonably retain after paying the real costs of ownership.

2.3 · Ops Diligence

Understand how the agency actually serves clients, which people and steps are essential.

2.4 · Client Risk

Establish exactly which client relationships are being bought and what might prevent their revenue from continuing.

2.5 · Tech / Access Scanner

Find out whether the buyer can legally and practically use or connect the agency's systems before relying on automation.

2.6 · Integration Planner

Turn diligence findings into a workable handover plan that protects clients.

2.7 · Seller Offer & Transition

Help the deal team present understandable purchase terms and track the seller's agreed responsibilities through closing.

Level 3 · Post-close improvement
1.4 · MANAGER

Value Creation PMO

Keeps value-creation projects moving: raise margins after close from idea to proven result. Diagnostic and redesign work runs as AI Specialist skills under this manager.

Improvement skills under the PMO:

3.1 · Operational Diagnostic

Find evidence-backed improvement opportunities in an acquired agency, including problems in billing, handoffs, staffing.

3.2 · Workflow & Operating Design

Turn a validated inefficiency into a simpler, costed way of working, rather than automating a broken process unchanged.

3.3 · Automation Builder & Enablement

Build and introduce an approved operational improvement.

Why this sits next to Deal Factory

Diligence artifacts feed the first 90-day plan. The same evidence that priced the deal becomes the improvement backlog, so post-close work starts from facts, not a new study.

Migration path (already covered). Tech/Access Scanner (2.5), Integration Planner (2.6), and later Migration Orchestrator (5.9) under Shared Standards carry platform cutover. Bridge first keeps Agentic AI value flowing until preferred platforms earn the move.
Levels 4–5

Finance & Back Office + Shared Standards (COE)

Entity control plus one Center of Excellence stack every hub shares.

Level 4 · Finance Lead
4.1 · MANAGER

Finance Lead (Controller)

Runs the books for each legal entity: AP/AR, billing leaks, unused SaaS seats, and media cash recon. Skills do the catalog AI Bot Jobs; this lead keeps one close calendar and exception list.

Back-office skills:

4.2 · AP / AR

Organize money owed by customers and money owed to suppliers.

4.3 · Billing & Utilization

Check that the agency bills for the work it promised and understands how much staff effort the work consumes.

4.4 · Payroll Prep

Prepare accurate payroll inputs without giving a bot authority to change pay or release wages.

4.5 · SaaS Sprawl Killer

Stop paying for software that nobody needs while avoiding cancellations that break client work or destroy required.

4.6 · Access & Security

Make sure people and bots have only the access their work requires, and remove access when that work or employment ends.

4.7 · Contract / SOW Admin

Make signed promises usable in daily operations.

4.8 · Media Reconciliation

Keep client advertising money separate from money the agency can spend on itself.

Level 5 · COE / Standards Lead
5.x · MANAGER

COE / Standards Lead

Owns one shared Center of Excellence (COE) stack: connectors, password vault, measurement rules, playbooks, and access. Every hub uses the same rails.

Shared-stack skills:

5.1 · Shared Finance Hub

Make financial reporting consistent across the group and avoid mistaking internal charges for new profit.

5.2 · Media Rules Engine

Give advertising bots a common, approved set of rules for budgets, allowed changes and launch checks.

5.3 · Creative Brand Vault

Keep the correct, approved brand files and their usage rights easy to find.

5.4 · Playbook Librarian

Turn approved experience into repeatable instructions that other bot teams can follow without copying confidential.

5.5 · Pricing & Offers

Define what the agency sells and what it costs to deliver.

5.6 · Procurement & Stack

Decide which supplier and software arrangements are worth keeping, combining or replacing.

5.7 · Measurement Standards

Make the same metric mean the same thing across reports, clients and companies, so comparisons support sound decisions.

5.8 · Agent Reliability

Test whether bots and their system connections behave safely and reliably before and after release.

5.9 · Migration Orchestrator

Move approved data and workflows to a new system without losing records, permissions or live work.

Level 6

Agency Leadership & Client Coordination

Hub operations, client success, strategy, research, and reporting for each delivery unit.

Manager Agentic AI Bots
6.1 · MANAGER

Agency / Delivery Hub Manager

Runs day-to-day delivery for one hub (the team that owns a set of clients). Keeps promises, capacity, and exceptions in one place.

6.2 · MANAGER

Client Success

Protects the client relationship after close: renewals, health scores, handoffs, early warning if a client may leave. Critical when an earnout (seller payout tied to post-close results) depends on retention.

6.3 · MANAGER

Client Strategy & Account Plan

Turns client goals into one plan and clear assignments for department managers. Research and program work run as AI Specialist skills under that plan.

AI Specialist skills under strategy & research

Program coordinators and research specialists start under the Client Strategy plan, scoped to a named client when the work exists.

6.3.1 · B2B Demand Generation Coordinator

Coordinate a business-to-business demand-generation program across departments.

6.3.2 · Account-based Marketing Coordinator

Coordinate account-based marketing, which focuses marketing and sales effort on an approved list of target companies.

6.3.3 · Product / Service Launch Coordinator

Make the many parts of a product or service launch ready together.

6.4 · Marketing Research & Intelligence

Give strategy and production teams real customer and market evidence.

6.4.1 · Customer & Market Research

Organize real customer and market evidence to answer a defined business question, separating findings from guesses.

6.4.2 · Competitor & Creative Intelligence

Explain what competitors publicly say and show, helping the client understand relevant patterns without seeking private.

6.4.3 · Audience, Offer & Messaging Research

Turn research into testable ideas about the audience, offer and message.

6.5 · Reporting Pack

Explain marketing results in a form the client can use.

Level 7 (part 1)

Marketing: Brand Strategy & Paid Media

Brand identity managers and paid-media AI Specialist skills.

7.1 · MANAGER

Brand Strategy & Identity

Positioning, naming, messaging, and visual-identity direction so production teams share one brand brief.

7.2 · MANAGER

Paid Media Manager

Runs paid advertising so Google, Meta, and other channel specialists follow one budget and approval path. Channel work runs as AI Specialist skills scoped to a client.

AI Specialist skills
Brand skills
7.1.1 · Positioning & Brand Architecture

Explain what the brand should stand for and how its products or sub-brands relate.

7.1.2 · Naming & Messaging

Develop names and a consistent messaging structure that express the approved positioning and can be reviewed for legal.

7.1.3 · Visual Identity & Guidelines

Translate brand direction into practical visual rules that designers can apply consistently.

Paid media skills
7.2.1 · Google Ads Operations

Perform the Google Ads work assigned by the paid-media manager.

7.2.2 · Meta Ads Operations

Handle Facebook and Instagram advertising tasks while keeping campaign settings.

7.2.3 · Shopping & Product Feeds

Identify product-data problems that prevent shopping ads from running correctly and get corrections made.

7.2.4 · Media Planning & Experiments

Translate the approved client strategy into practical channel budgets and tests.

7.2.5 · Microsoft Ads

Prepare and review Microsoft advertising work without assuming a campaign copied from another platform is automatically.

7.2.6 · LinkedIn Ads

Prepare LinkedIn advertising and lead forms for approved business audiences.

7.2.7 · TikTok Ads

Prepare and check TikTok advertising built around approved video assets.

7.2.8 · YouTube & Google Video

Provide a video-advertising specialist within the Google account workflow.

7.2.9 · Amazon & Retail Media Ads

Manage assigned advertising work on Amazon and retail-media platforms while leaving the client's store.

7.2.10 · Programmatic & Connected TV

Prepare advertising bought through automated buying platforms and connected-TV systems.

Level 7 (part 2)

Marketing: Creative & Copy

Creative production and written-work skills under department managers.

7.3 · MANAGER

Creative Manager

Manages visual, video, and audio production so assets hit format, brief, and brand. Designers and editors are on-demand AI Specialist skills.

7.4 · MANAGER

Copy Manager

Runs written work (ads, pages, email, sales materials) so the message stays consistent. Writers are AI Specialist skills under this manager.

AI Specialist skills
Creative skills
7.3.1 · Graphic & Ad Designer

Turn an approved message and brand direction into usable graphics for ads and other marketing placements.

7.3.2 · Video Editor

Turn approved footage into usable marketing videos, including shorter versions and revisions required by the campaign.

7.3.3 · Motion Graphics

Create animated graphic treatments that explain or emphasize the approved message.

7.3.4 · Photography & Shoot Coordination

Organize the information and logistics needed for a photography shoot, while qualified people handle the camera.

7.3.5 · Audio & Podcast Production

Prepare and edit approved audio or podcast material into usable marketing assets while keeping voice.

7.3.6 · Creative Direction & Adaptation

Keep creative execution consistent across formats so individual designs and edits still express the same approved.

Copy skills
7.4.1 · Ad & Landing-page Copy

Write the words that connect an advertisement to its destination page, including the headline.

7.4.2 · SEO Content Writer

Produce useful search-focused articles and page copy from the SEO team's brief.

7.4.3 · Email & Sales Copy

Write follow-up messages and sales materials matched to a customer's stage.

7.4.4 · Editor & Fact Checker

Catch unclear language, contradictions and unsupported claims before written marketing reaches a client or the public.

7.4.5 · Translation & Localization

Adapt approved content for a different language and market.

Level 7 (part 3)

Marketing: SEO, Social, Web & Lifecycle

Organic search, social, web/CRO, and CRM/lifecycle skills.

7.5 · MANAGER

SEO & Organic Search

Technical and content search work so organic growth follows one plan and measurement standard.

7.6 · MANAGER

Organic Social & Community

Social publishing and community response under brand and client rules.

7.7 · MANAGER

Web / CRO Manager

Site builds, maintenance, and conversion-rate tests so pages work and changes are measured before they go live.

7.8 · MANAGER

CRM & Lifecycle

Email, lifecycle journeys, and revenue-ops handoffs so nurture and sales follow one system of record.

SEO skills
7.5.1 · Technical SEO

Find technical obstacles that stop search engines from accessing or understanding useful website content.

7.5.2 · On-page & Content SEO

Improve how individual pages answer relevant search questions, including their topics.

7.5.3 · Local Presence & Listings

Keep a client's location information accurate and consistent in the business listings it is authorized to manage.

7.5.4 · Reviews & Local Reputation

Help the client request and respond to real customer reviews.

7.5.5 · AI-search Visibility

Observe how the client appears in permitted AI-search results and identify gaps in credible public information.

7.5.6 · Authority Analysis & SEO QA

Check the quality of completed search work and available link or mention evidence.

Social skills
7.6.1 · Social Content Planner

Plan what the brand should publish on its own social channels and turn those plans into clear production briefs.

7.6.2 · Social Publishing

Move approved social content from draft to scheduled or published posts using tested account access and the correct.

7.6.3 · Community Response

Sort comments and messages so routine responses are prepared promptly and sensitive issues reach the right person.

7.6.4 · Reputation & Listening

Monitor permitted public discussion for relevant themes and reputational concerns.

Web / CRO skills
7.7.1 · Web Developer & Landing-page Builder

Build the approved website or landing-page change in a test environment.

7.7.2 · Conversion Testing

Turn a proposed website improvement into a controlled test of a desired customer action.

7.7.3 · UX & Usability Review

Identify where people may struggle to understand a page or complete a task.

7.7.4 · Accessibility Testing

Find accessibility problems within the agreed testing scope and coordinate the checks that require knowledgeable human.

7.7.5 · Maintenance & Release QA

Keep website updates controlled, tested and recoverable so routine maintenance does not unexpectedly break.

Lifecycle skills
7.8.1 · CRM Implementation & Operations

Set up and maintain a client's customer relationship management system so its records and sales process have clear.

7.8.2 · Marketing Automation & Lead Nurture

Design the follow-up sequence after a prospect or customer takes an action, including when messages should start.

7.8.3 · Segmentation & Deliverability

Make sure messages go to the right permitted audience and investigate problems reaching recipients.

7.8.4 · Lead Routing & Sales Enablement

Help qualified inquiries reach the correct salesperson with the information and materials needed for follow-up.

7.8.5 · Loyalty & Customer Advocacy

Support repeat purchases and voluntary customer advocacy through approved customer journeys.

7.8.6 · Conversational Lead Capture

Prepare a website-chat or messaging flow that asks permitted qualification questions and hands the conversation.

Level 7 (part 4)

Marketing: Specialty Channels

PR, influencer, affiliate, commerce, and events skills when a client program needs them.

7.9 PR & Earned Media
7.9 · Public Relations & Earned Media

Coordinate public relations: helping a client communicate credible news and ideas to journalists and other public.

7.9.1 · Media Relations & Outreach

Find relevant journalists and publications and prepare suitable outreach.

7.9.2 · Press & Thought Leadership

Prepare factual press and executive content so public communications are useful, consistent and supportable.

7.9.3 · Interview & Reputation Support

Help spokespeople prepare for interviews or sensitive public issues using verified facts and a clear escalation route.

7.10 Influencer & Creator
7.10 · Influencer & Creator Marketing

Organize work with outside creators so audience fit, briefs, agreements.

7.10.1 · Creator Discovery & Vetting

Identify creators whose audience and work fit the client's objectives.

7.10.2 · Creator Briefs, Rights & Disclosure

Make the creator's brief, content-use rights and disclosure obligations clear before work is produced or reused.

7.10.3 · Creator Delivery & Measurement

Track whether creators deliver the agreed work and how that work performs.

7.11 Affiliate & Referral
7.11 · Affiliate & Customer Referral Marketing

Run the coordination for a client's affiliate or customer-referral program.

7.11.1 · Affiliate Recruitment & Enablement

Prepare the recruitment and setup process for people or organizations joining a client's affiliate program.

7.11.2 · Referral Tracking & Commission Checks

Calculate proposed affiliate or referral commissions from eligible transactions.

7.11.3 · Program Quality & Disputes

Investigate program-quality concerns and commission disputes fairly.

7.12 Commerce & Marketplace
7.12 · Commerce & Marketplace Operations

Improve how a client's products are presented and kept consistent across its store and marketplaces.

7.12.1 · Product Listings & Storefronts

Make product pages and storefront content accurate and complete using the client's official product facts.

7.12.2 · Merchandising & Promotions

Prepare product-presentation and promotion ideas within the client's commercial rules.

7.12.3 · Catalog & Feed Coordination

Keep product information consistent across connected systems through one approved source.

7.13 Events & Experiences
7.13 · Events, Webinars & Experiences

Coordinate event and webinar preparation across marketing, registration, speakers and vendors.

7.13.1 · Event Strategy & Runbook

Create the practical event plan: what should happen, when, by whom and with what approved resources.

7.13.2 · Webinars, Registration & Follow-up

Connect webinar registration, speaker readiness and follow-up so the event produces a usable attendee experience.

7.13.3 · Experiential & Vendor Coordination

Coordinate the suppliers and dependencies behind an in-person experience, while qualified people own contracts.

Levels 8–9

Delivery, QA & Agency Growth

Traffic, measurement, independent release QA, then agency BD and people admin.

Level 8 · Delivery managers
8.4 · MANAGER

Delivery QA

Independent check before work goes to a client: brief met, brand and legal clear, tracking intact. Keeps drafting separate from the release decision.

8.2 · MANAGER

Traffic & Scope

Turns sold scope into schedules and assignments; reserves capacity so hubs do not overpromise.

8.3 · MANAGER

Measurement & Outcomes

Analytics, attribution, and dashboard QA so client results are comparable and trustworthy.

Measurement & traffic AI skills
8.1 · Inbox Triage

Make sure each incoming client request reaches one responsible team and is not duplicated across email notifications.

8.3.1 · Analytics & Conversion Tracking

Check that important customer actions are recorded correctly.

8.3.2 · Attribution & CRM Matching

Connect permitted marketing records to CRM outcomes so the team can see which inquiries became qualified opportunities.

8.3.3 · Incrementality & Experiment Analysis

Analyze whether an activity produced results beyond what would otherwise have happened.

8.3.4 · Marketing Mix Modeling

Prepare statistical analysis of how marketing activity relates to business results across channels.

8.3.5 · Dashboard & Data QA

Check that dashboards display the right numbers, periods and definitions before those reports guide decisions.

Level 9 · Agency growth & people

Firm-level BD, partner referrals, and people checklists: skills under the hub path, not client media production.

9.1 · BD / Proposal

Help the agency win work it can profitably deliver, rather than promising custom services the team cannot support.

9.2 · Partner Channel Ops

Manage referral relationships that bring customers to our agency.

9.3 · People Lite

Keep routine employee setup, training and administration organized without turning the bot into the employer.

Level 10

Fund & Investor Ops (optional)

LP reporting and fund plumbing if raising a pooled vehicle; skip for an AI Bot PE Studio only.

Optional manager path
10.x · FUND LEAD (WHEN RAISED)

Fund / LP Operations Lead

Owns investor reporting cadence and fund accounting separation. Skills below start when counsel and the fund documents are live, not before.

Placement. Last in the build order. Never block agency operating value on fund plumbing. LPAC (LP advisory committee) matters, side letters, and facility covenants sit with counsel and the fund documents.
Fund & LP AI skills
10.1 · LP Reporting

Prepare consistent reports for a fund's investors.

10.2 · NAV & Valuation

Help the valuation team explain what the fund's investments are worth.

10.3 · Calls & Distributions

Prepare requests for investors to fund existing commitments and proposed payments back to them.

10.4 · Fund Accounting

Keep the fund's own accounting separate from the accounts of the companies it owns and reconcile amounts attributed.

10.5 · Compliance Calendar

Keep required fund reviews, reports and filings from being missed.

10.6 · Side Letters & LPAC

Track investor-specific rights and approvals.

10.7 · Fund Facilities

Monitor the fund's borrowing arrangements.

AI Bot PE Studio only?

If the firm buys agencies as an AI Bot PE Studio without a pooled fund, leave Level 10 dashed and invest in Levels 1–9 first.