AI leadership that doesn't end when the project does.
A recurring advisory partnership that keeps your AI program current: monthly executive strategy sessions, governance reviews, adoption and ROI reporting, and a roadmap that evolves as fast as the tools do.
In one sentence: AI Managed Advisory is a monthly retainer that gives your leadership team a standing AI function: executive strategy sessions, governance reviews, new use-case identification, prompt library management, adoption and ROI reporting, AI spend and token monitoring, and a quarterly maturity reassessment.
Book a call about ai managed advisory servicesThe problem: AI programs decay without an owner
AI isn't a project you finish. The tools change monthly, the vendors reprice quarterly, employees find new ways to use — and misuse — what's deployed, and a roadmap written six months ago is already partly obsolete. Most mid-market companies end an AI project with momentum, and then watch it decay because nobody owns keeping it current.
Hiring for that ownership doesn't work at mid-market scale: the role is real but not full-time, and the person who can do it — senior enough for the board, technical enough for the vendors — doesn't take a part-time job. So the agenda drifts back to whoever pitched last.
The approach: a standing rhythm, not a standing meeting
Monthly executive strategy sessions
A working session with leadership each month: what changed in the landscape, what it means for your roadmap, and what decisions need making now.
Governance and risk cadence
Scheduled reviews of AI usage, policy exceptions, new tools requesting approval, and vendor changes — so governance stays current instead of becoming shelf-ware.
Adoption and ROI measurement
Department-level adoption reviews and ROI reporting against the baselines set at deployment — numbers leadership can put in front of a board.
Continuous discovery
New use-case identification, prompt library management, and improvement workshops — the compounding work that separates AI-operating companies from AI-owning ones.
What the retainer covers
Nine standing workstreams, scaled to the rhythm your program needs.
Monthly Executive AI Strategy Sessions
A standing leadership session: landscape changes, roadmap implications, and the decisions that need making this month.
AI Governance Reviews
Scheduled reviews of usage, policy exceptions, tool approvals, and vendor changes — governance that stays current.
Roadmap Updates
The 12–24 month roadmap re-sequenced as tools, prices, and priorities move — so it never goes stale.
New Use Case Identification
Continuous intake and scoring of new automation candidates as the platforms and your business evolve.
Prompt Library Management
Curated, versioned prompt libraries per team — so the best way to use a tool spreads instead of living in one person's head.
Adoption & ROI Reporting
Usage reviewed team by team against targets, returns measured against deployment baselines, and a leadership dashboard updated on a standing cadence — in operating terms: hours returned, cycle time, cost per transaction.
AI Spend & Token Monitoring
Consumption and license spend tracked against the value delivered — model usage rebalanced and contracts renegotiated before costs creep, the way FinOps watches cloud.
Quarterly AI Maturity Reassessment
Your six-dimension maturity score refreshed quarterly — the same scorecard as the full assessment, tracking the trajectory.
Continuous Improvement Workshops
Recurring working sessions with the teams using AI daily, turning frontline friction into roadmap items.
How the engagement runs
An ongoing monthly retainer; most clients begin after a strategy engagement or transformation program, or with a short baseline month.
- Month 1
Baseline
Inventory the current program: tools, adoption, governance state, and roadmap freshness.
- Monthly
Operate
Executive strategy session, governance review, and use-case intake.
- Quarterly
Measure
Maturity reassessment, ROI reporting, and roadmap re-sequencing.
- Ongoing
Compound
Prompt libraries, adoption reviews, and improvement workshops keep the program current.
What you walk away with
Every engagement ends in artifacts you own — not a verbal debrief.
- Monthly executive session with decisions log and action owners
- Quarterly AI maturity scorecard and trajectory report
- Continuously updated 12–24 month roadmap
- Department adoption reviews with correction plans
- ROI reports in operating terms — hours, cycle time, cost
- Curated prompt libraries and improvement workshop outputs
The outcome, measured
An AI program that compounds instead of decaying: the roadmap stays current, adoption holds, governance keeps pace with the tools, and leadership always has a defensible, up-to-date answer to 'how is the AI investment doing?' — without hiring a full-time executive to produce it.
- A roadmap that stays current as tools and prices move
- Adoption that holds — measured team by team, corrected early
- Governance that keeps pace with the AI landscape
- A standing, defensible answer to 'how is the AI investment doing?'
Questions buyers actually ask
How is this different from a fractional CIO?
Scope. Managed Advisory owns the AI agenda: strategy sessions, governance reviews, adoption, and ROI. A fractional CIO owns the entire technology function — vendors, budget, security posture, board reporting — with AI as one thread. If AI is the gap, start here; if technology leadership is the gap, start with the Fractional CIO seat.
What does a typical month look like?
One executive strategy session, a scheduled governance and adoption review, and continuous intake of new use cases — plus the quarterly cycle adds a maturity reassessment and ROI report. The rhythm is scaled to your program's size on the intro call.
Can we start with Managed Advisory if we haven't done a project with CSM?
Yes. Companies with an existing AI program start with a baseline month — an inventory of tools, adoption, governance, and roadmap state — and the standing rhythm begins from there. Companies starting from zero usually get more value from a strategy engagement first.
Related services
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Fractional CIO & Technology Leadership
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Talk to an operator, not a salesperson.
Engagements typically begin with a 30-minute call and, where it fits, an AI readiness assessment. No retainer required — the first conversation is free.