Where AI pays off, with numbers behind it.

A sequenced plan for AI in your operation: which processes, in what order, at what return. Based on your volumes and systems, with clear decision points before each build phase.

What we deliver

AI strategy & readiness, in full.

Strategy work that ends in a plan you can carry out.

  • Opportunity assessmentYour processes ranked by volume, cost, tolerance for error, and data readiness: a clear map of where AI delivers a return first.
  • Business caseCosts and return in your terms, with success criteria you can measure. The case your finance team and your board will test.
  • Readiness reviewThe data, security, and connection requirements for each candidate process, and the plan to meet them.
  • Sequenced roadmapA first step chosen for fast, low-risk proof, then phases ordered by value and dependency, with go or no-go criteria at every point.
  • Governance planHow human oversight, records, and risk management will run from day one, aligned to the NIST AI Risk Management Framework and sized to your organization.
How it runs

Scoped. Built. Handed over.

Every engagement runs under a master agreement with a scoped statement of work for each phase, and ends with documentation and training your team owns.

01 · Discover

Map the operation

Volumes, handoffs, systems, and constraints, captured with the people who own the process.

02 · Quantify

Build the case

Each candidate priced and risk-weighted, with connection and governance costs included.

03 · Sequence

Set the roadmap

A phased plan with decision points and a first build scoped to prove value within a month.

Hands-on leadership Statement of work per phase NDA, BAA, DPA as required Documented handover
03 The standard

We recommend only what will pay off.

The same firm that writes the plan delivers the work. That keeps the plan grounded, the sequence realistic, and the business case conservative.

Start here

Find where AI pays off in your operation.

In a 30-minute conversation, we'll identify the two or three processes where AI is most likely to earn its keep, and what proving it would take.