PE / Portfolio Leadership
Portfolio Commander + Weekly Flash; oversight skills for board, risk, IC packs.
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.
How I use Agentic AI Bots across the firm: from PE Leadership down to marketing services and verified results.
How I staff Agentic AI Bots across the PE firm, ready for partner use.
Portfolio Commander + Weekly Flash; oversight skills for board, risk, IC packs.
Deal Factory lead + diligence skills; Value Creation PMO + diagnostic/redesign skills.
Finance Lead over 4.x skills; COE Lead over shared connectors, vault, measurement.
Hub Manager, Client Success, Client Strategy: protect renewals and earnouts.
Department manager Agentic AI Bots (brand, media, creative, copy, web…) + AI Specialist skills.
Traffic, measurement, Delivery QA gate; agency BD and people admin.
Investor ops if a fund exists; otherwise skip.
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.
Estimates for one ~$1M EBITDA agency and the shared AI Bot PE Studio layer. Published seat and frontier token rates, Sep 2026.
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).
| Case | Seats | Tokens | Total / 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.
Portfolio Commander, Weekly Flash, Deal Factory, Finance Lead, and COE share a small seat pool across N agencies. Deal diligence is bursty.
| Layer | Est. $/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.
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 × ~$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%
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.
| Step | Figure | How I get there |
|---|---|---|
| Target EBITDA | ~$1M | Agency size in this framework |
| Implied net fee revenue | ~$5M | At ~20% EBITDA margin (PE underwriting target for healthy agencies) |
| Revenue per FTE | ~$163K | Marketing-agency average, Promethean Research 2026 (2025 performance) |
| Implied headcount | ~$5M / $163K ≈ 31 | Planning midpoint ~30 FTEs (band ~25–35) |
| Cross-check | 10–25 staff | FE International: typical staff for $0.5–1M EBITDA digital marketing agencies (can run leaner) |
| Seat per FTE (Standard) | $40 / mo | Published Teams Standard list price |
| Seat per FTE (Premium) | $120 / mo | Published Teams Premium list price |
| Tokens per FTE (lean share) | ~$5–8 / mo | Base 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.
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.
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.
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).
Migrate a category when the preferred platform clearly wins on margin, control, or speed. Bridge first keeps value flowing until then.
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.
How manager Agentic AI Bots, skills, routines, threads, and shared systems of record fit together.
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.
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.
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.
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.
Diligence packs land in the deal thread; the Integration Planner and Hub pick up the same artifacts. No re-brief from scratch.
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.
Open for a deal, hub, or client program; archive when the scorecard or engagement closes. Institutional memory stays in the system of record.
Back-office threads never talk to clients. Delivery threads never release payroll or wires. Portfolio threads watch the book; hubs run the shop.
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.
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.
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.
Flash packs, diligence binders, and QA checklists land where the next manager already looks, not in private chat files.
Organize by AI Bot Job type and org level: from the AI Bot PE Studio down to marketing production inside each agency.
AI Bot PE Studio view of cash, retention, delivery heat, deals, and board-ready packs across owned agencies.
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.
Short weekly snapshot of revenue, margin, client risk, and delivery issues, before the monthly books close. Management view, not audited financials.
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.
Started when needed: covenant watch, concentration checks, board drafts, IC packs, exit readiness. Weekly Flash skills and routines feed the same command surface.
Help the business see a cash shortage before payments become due.
Find out which clients and delivery teams actually make money.
Reveal where the portfolio depends too heavily on one source of revenue or one vulnerable resource.
Make delivery trouble visible across teams before missed deadlines and repeated errors become client losses.
Match available people and skills to work already promised, new sales and acquisition transitions.
Check whether an acquisition is genuinely becoming stable, not simply whether its integration checklist looks complete.
Help one delivery hub benefit from relevant experience or client opportunities elsewhere in the group.
Turn approved financial and operating information into a clear package for directors and company investors to review.
Help the partners choose between competing uses of money and understand the funding and ownership consequences.
Challenge a proposed acquisition before the firm commits money.
Keep the buyer's contractual purchase obligations accurate after closing.
Keep business risks tied to responsible people and deadlines, rather than scattered across contracts.
Give leadership a portfolio-wide security picture without exposing every agency's systems and client records.
Make the business easier for a future buyer to investigate by keeping evidence of clients, profit.
Deal Factory for buys; Value Creation PMO for margin projects after close.
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):
Find businesses worth evaluating and distinguish a foundation agency from a smaller client-book addition that can fit.
Test how much of the seller's reported profit a buyer could reasonably retain after paying the real costs of ownership.
Understand how the agency actually serves clients, which people and steps are essential.
Establish exactly which client relationships are being bought and what might prevent their revenue from continuing.
Find out whether the buyer can legally and practically use or connect the agency's systems before relying on automation.
Turn diligence findings into a workable handover plan that protects clients.
Help the deal team present understandable purchase terms and track the seller's agreed responsibilities through closing.
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:
Find evidence-backed improvement opportunities in an acquired agency, including problems in billing, handoffs, staffing.
Turn a validated inefficiency into a simpler, costed way of working, rather than automating a broken process unchanged.
Build and introduce an approved operational improvement.
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.
Entity control plus one Center of Excellence stack every hub shares.
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:
Organize money owed by customers and money owed to suppliers.
Check that the agency bills for the work it promised and understands how much staff effort the work consumes.
Prepare accurate payroll inputs without giving a bot authority to change pay or release wages.
Stop paying for software that nobody needs while avoiding cancellations that break client work or destroy required.
Make sure people and bots have only the access their work requires, and remove access when that work or employment ends.
Make signed promises usable in daily operations.
Keep client advertising money separate from money the agency can spend on itself.
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:
Make financial reporting consistent across the group and avoid mistaking internal charges for new profit.
Give advertising bots a common, approved set of rules for budgets, allowed changes and launch checks.
Keep the correct, approved brand files and their usage rights easy to find.
Turn approved experience into repeatable instructions that other bot teams can follow without copying confidential.
Define what the agency sells and what it costs to deliver.
Decide which supplier and software arrangements are worth keeping, combining or replacing.
Make the same metric mean the same thing across reports, clients and companies, so comparisons support sound decisions.
Test whether bots and their system connections behave safely and reliably before and after release.
Move approved data and workflows to a new system without losing records, permissions or live work.
Hub operations, client success, strategy, research, and reporting for each delivery unit.
Runs day-to-day delivery for one hub (the team that owns a set of clients). Keeps promises, capacity, and exceptions in one place.
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.
Turns client goals into one plan and clear assignments for department managers. Research and program work run as AI Specialist skills under that plan.
Program coordinators and research specialists start under the Client Strategy plan, scoped to a named client when the work exists.
Coordinate a business-to-business demand-generation program across departments.
Coordinate account-based marketing, which focuses marketing and sales effort on an approved list of target companies.
Make the many parts of a product or service launch ready together.
Give strategy and production teams real customer and market evidence.
Organize real customer and market evidence to answer a defined business question, separating findings from guesses.
Explain what competitors publicly say and show, helping the client understand relevant patterns without seeking private.
Turn research into testable ideas about the audience, offer and message.
Explain marketing results in a form the client can use.
Brand identity managers and paid-media AI Specialist skills.
Positioning, naming, messaging, and visual-identity direction so production teams share one brand brief.
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.
Explain what the brand should stand for and how its products or sub-brands relate.
Develop names and a consistent messaging structure that express the approved positioning and can be reviewed for legal.
Translate brand direction into practical visual rules that designers can apply consistently.
Perform the Google Ads work assigned by the paid-media manager.
Handle Facebook and Instagram advertising tasks while keeping campaign settings.
Identify product-data problems that prevent shopping ads from running correctly and get corrections made.
Translate the approved client strategy into practical channel budgets and tests.
Prepare and review Microsoft advertising work without assuming a campaign copied from another platform is automatically.
Prepare LinkedIn advertising and lead forms for approved business audiences.
Prepare and check TikTok advertising built around approved video assets.
Provide a video-advertising specialist within the Google account workflow.
Manage assigned advertising work on Amazon and retail-media platforms while leaving the client's store.
Prepare advertising bought through automated buying platforms and connected-TV systems.
Creative production and written-work skills under department managers.
Manages visual, video, and audio production so assets hit format, brief, and brand. Designers and editors are on-demand AI Specialist skills.
Runs written work (ads, pages, email, sales materials) so the message stays consistent. Writers are AI Specialist skills under this manager.
Turn an approved message and brand direction into usable graphics for ads and other marketing placements.
Turn approved footage into usable marketing videos, including shorter versions and revisions required by the campaign.
Create animated graphic treatments that explain or emphasize the approved message.
Organize the information and logistics needed for a photography shoot, while qualified people handle the camera.
Prepare and edit approved audio or podcast material into usable marketing assets while keeping voice.
Keep creative execution consistent across formats so individual designs and edits still express the same approved.
Write the words that connect an advertisement to its destination page, including the headline.
Produce useful search-focused articles and page copy from the SEO team's brief.
Write follow-up messages and sales materials matched to a customer's stage.
Catch unclear language, contradictions and unsupported claims before written marketing reaches a client or the public.
Adapt approved content for a different language and market.
Organic search, social, web/CRO, and CRM/lifecycle skills.
Technical and content search work so organic growth follows one plan and measurement standard.
Social publishing and community response under brand and client rules.
Site builds, maintenance, and conversion-rate tests so pages work and changes are measured before they go live.
Email, lifecycle journeys, and revenue-ops handoffs so nurture and sales follow one system of record.
Find technical obstacles that stop search engines from accessing or understanding useful website content.
Improve how individual pages answer relevant search questions, including their topics.
Keep a client's location information accurate and consistent in the business listings it is authorized to manage.
Help the client request and respond to real customer reviews.
Observe how the client appears in permitted AI-search results and identify gaps in credible public information.
Check the quality of completed search work and available link or mention evidence.
Plan what the brand should publish on its own social channels and turn those plans into clear production briefs.
Move approved social content from draft to scheduled or published posts using tested account access and the correct.
Sort comments and messages so routine responses are prepared promptly and sensitive issues reach the right person.
Monitor permitted public discussion for relevant themes and reputational concerns.
Build the approved website or landing-page change in a test environment.
Turn a proposed website improvement into a controlled test of a desired customer action.
Identify where people may struggle to understand a page or complete a task.
Find accessibility problems within the agreed testing scope and coordinate the checks that require knowledgeable human.
Keep website updates controlled, tested and recoverable so routine maintenance does not unexpectedly break.
Set up and maintain a client's customer relationship management system so its records and sales process have clear.
Design the follow-up sequence after a prospect or customer takes an action, including when messages should start.
Make sure messages go to the right permitted audience and investigate problems reaching recipients.
Help qualified inquiries reach the correct salesperson with the information and materials needed for follow-up.
Support repeat purchases and voluntary customer advocacy through approved customer journeys.
Prepare a website-chat or messaging flow that asks permitted qualification questions and hands the conversation.
PR, influencer, affiliate, commerce, and events skills when a client program needs them.
Coordinate public relations: helping a client communicate credible news and ideas to journalists and other public.
Find relevant journalists and publications and prepare suitable outreach.
Prepare factual press and executive content so public communications are useful, consistent and supportable.
Help spokespeople prepare for interviews or sensitive public issues using verified facts and a clear escalation route.
Organize work with outside creators so audience fit, briefs, agreements.
Identify creators whose audience and work fit the client's objectives.
Make the creator's brief, content-use rights and disclosure obligations clear before work is produced or reused.
Track whether creators deliver the agreed work and how that work performs.
Run the coordination for a client's affiliate or customer-referral program.
Prepare the recruitment and setup process for people or organizations joining a client's affiliate program.
Calculate proposed affiliate or referral commissions from eligible transactions.
Investigate program-quality concerns and commission disputes fairly.
Improve how a client's products are presented and kept consistent across its store and marketplaces.
Make product pages and storefront content accurate and complete using the client's official product facts.
Prepare product-presentation and promotion ideas within the client's commercial rules.
Keep product information consistent across connected systems through one approved source.
Coordinate event and webinar preparation across marketing, registration, speakers and vendors.
Create the practical event plan: what should happen, when, by whom and with what approved resources.
Connect webinar registration, speaker readiness and follow-up so the event produces a usable attendee experience.
Coordinate the suppliers and dependencies behind an in-person experience, while qualified people own contracts.
Traffic, measurement, independent release QA, then agency BD and people admin.
Independent check before work goes to a client: brief met, brand and legal clear, tracking intact. Keeps drafting separate from the release decision.
Turns sold scope into schedules and assignments; reserves capacity so hubs do not overpromise.
Analytics, attribution, and dashboard QA so client results are comparable and trustworthy.
Make sure each incoming client request reaches one responsible team and is not duplicated across email notifications.
Check that important customer actions are recorded correctly.
Connect permitted marketing records to CRM outcomes so the team can see which inquiries became qualified opportunities.
Analyze whether an activity produced results beyond what would otherwise have happened.
Prepare statistical analysis of how marketing activity relates to business results across channels.
Check that dashboards display the right numbers, periods and definitions before those reports guide decisions.
Firm-level BD, partner referrals, and people checklists: skills under the hub path, not client media production.
Help the agency win work it can profitably deliver, rather than promising custom services the team cannot support.
Manage referral relationships that bring customers to our agency.
Keep routine employee setup, training and administration organized without turning the bot into the employer.
LP reporting and fund plumbing if raising a pooled vehicle; skip for an AI Bot PE Studio only.
Owns investor reporting cadence and fund accounting separation. Skills below start when counsel and the fund documents are live, not before.
Prepare consistent reports for a fund's investors.
Help the valuation team explain what the fund's investments are worth.
Prepare requests for investors to fund existing commitments and proposed payments back to them.
Keep the fund's own accounting separate from the accounts of the companies it owns and reconcile amounts attributed.
Keep required fund reviews, reports and filings from being missed.
Track investor-specific rights and approvals.
Monitor the fund's borrowing arrangements.
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.