All Case Studies
AI OPERATIONS / PRACTICE-WIDE AI ADOPTION

An AI plan leadership can actually approve.

How a scattered set of AI pilots becomes a sequenced, governed roadmap a partner group will sign.

6 min read

Dark office workstation with a subtle blue data network overlay
Representative capability outcomes across engagements — not results from a single named firm.
The Result
2 weeks
To a board-ready roadmap
10+
Workflows sequenced
Governed
Risk and review controls
01 / THE SITUATION

Where It Starts.

The challenge. The board asks for an AI roadmap while nobody can say where the practice stands or which workflows to change first.

AI use inside the practice is real but invisible. Individuals are experimenting in their own tools, with no shared view of what works, what data is exposed, or what has been promised to a client.

Leadership is asked for a plan and cannot produce one, because there is no baseline. Without a current-state picture, every proposal is a preference argument between partners rather than a decision.

The result is stalled investment: too risky to scale, too visible to stop.

02 / HOW WE GOT THE RESULT

The Sequence.

  1. 01Phase 1

    Establish the baseline

    We inventory current AI use, data flows, tooling, and skills across the practice, and score readiness by dimension: capability, data, process maturity, and risk posture. The score is the shared fact base the roadmap argues from.

  2. 02Phase 2

    Inventory the workflows

    Delivery and internal workflows are catalogued with volume, cycle time, and judgment intensity. This makes it possible to compare candidates instead of championing them.

  3. 03Phase 3

    Sequence by value and risk

    The AI Readiness Agent scores each workflow on impact, effort, data sensitivity, and client exposure, then produces a sequenced list. High-value, low-exposure workflows go first so early wins are defensible.

  4. 04Phase 4

    Install governance with the first wave

    Guardrails ship alongside the pilots: approved tools, data handling rules, human review requirements, disclosure standards, and a review cadence. Governance arrives as part of the roadmap, not as a later correction.

03 / THE AGENT AT WORK

AI Readiness Agent

The operating system scores readiness, risk, and sequencing; the agent produces the assessment, the prioritized workflow list, and the governance guardrails.

See the agent
  1. 01Compiles the readiness assessment across capability, data, process, and risk dimensions.
  2. 02Scores every catalogued workflow for automation value and exposure.
  3. 03Produces the sequenced adoption roadmap with dependencies between waves made explicit.
  4. 04Drafts the governance pack: tool policy, data handling rules, and human review checkpoints.
  5. 05Assembles the leadership briefing — current state, sequence, controls, and expected effect.
04 / WHY THE NUMBERS MOVE

The Results, Explained.

2 weeks

To a board-ready roadmap

Assessment, scoring, and sequencing are structured work with defined inputs, so the plan lands in a fortnight rather than a quarter of committee time.

10+

Workflows sequenced

Every candidate is scored on the same scale, which converts a list of opinions into an ordered plan with clear dependencies.

Governed

Risk and review controls

Because guardrails ship with wave one, adoption scales without the data and client-disclosure problems that usually stop it.

05 / WHAT MAKES IT HOLD

What We Would Tell Your Firm.

  • You cannot sequence what you have not inventoried; the baseline is the whole unlock.
  • Score workflows on exposure as well as value — the first win has to be one you can defend publicly.
  • Governance written after adoption is remediation. Written with it, it is enablement.
The System Behind It

AI Consulting

This result comes from one solution and the agents that run inside it. The same sequence is how it would be installed in your firm.