Solutions · 01 · Strategy & Advisory
Know where AI pays back.Before you spend.
A strategy engagement that ends in a costed, sequenced roadmap your team can execute. Not a deck that sits in a drawer.
Most AI strategies fail before the first build, because they were written for the boardroom, not the operation. We write the version the operation can run.
The terms we work to
Stated before we start, scoped to your operation
Typical engagement, from diagnostic to board-ready roadmap. Scoped before we start.
Opportunities costed, sequenced, and argued. The rest ranked, with the reasons.
Of recommendations carry a cost, a timeline, and a payback model. No unpriced advice.
When the maths does not hold, the roadmap says so. Before you have spent anything.
01
An honest view of where you stand
Before capital or headcount moves, leadership needs the real baseline: what your data can support today, where the processes are mature enough to automate, and where they are not.
Data and systems audit across the workflows that matter
Process maturity, mapped where the hours actually sit
Team, skills, and ownership gaps named plainly
Constraints and risk surfaced before they become surprises
You leave with a baseline the whole room accepts, including the uncomfortable parts.
02
Every opportunity ranked by payback
Most AI value concentrates in a small number of expensive, repeated tasks. We map your operation at the workflow level and rank the opportunities by what they return, not by what demos well.
Workflow-level cost mapping: where the hours and errors sit
Impact against effort, scored with your numbers
The no list: what not to build, and why
The first win: the narrow slice that pays back fastest
You leave knowing the top three builds, in order, and what each one returns.
03
Costed before a line is written
Strategy without numbers is a wish. Each initiative on the roadmap carries a cost, a timeline, a payback model, and a number it is accountable to.
Payback modeling per initiative, in your units
Build against buy, argued case by case
Sequencing by risk, value, and readiness
Success metrics agreed before the build starts
You leave with a roadmap that doubles as the operating brief for everything that follows.
04
Who owns what, decided up front
AI initiatives fail most often at the leadership layer: unclear ownership, incentives that point the wrong way, and risk frameworks that lag capability. We design the operating model that keeps systems alive after launch.
Decision rights and ownership inside the business
Human-in-the-loop policy: where a person approves, by design
Risk, compliance, and audit trail requirements
Vendor and tooling standards that outlive any one project
You leave with governance the operation can actually follow, not a policy PDF.
05
The room agrees before the build starts
The roadmap only works if the people funding it and the people running it read it the same way. We close the engagement in the room, with the argument settled.
Structured sessions with the executive team
A board-ready readout, in plain language
Open questions answered or scheduled, none parked
A clean handoff into build, ours or yours
You leave aligned, with the first build scoped and ready to start.
How the engagement runs
Working software early, evidence before scope
Weeks 1 & 2
Discovery and audit
On the floor and in the systems. We map where the hours, errors, and waiting actually sit.
Weeks 3 & 4
Opportunity map and models
Workflows ranked by payback, with cost and effort scored in your numbers.
Weeks 5 & 6
Roadmap and readout
The costed, sequenced plan, the governance to hold it, and the room aligned on it.
Built for organizations where the cost of moving slowly is measurable.
Mid-market and enterprise operations making their first serious AI investment and needing a structured way to prioritize.
Leadership teams that have run pilots but lack a coherent view of where AI creates durable advantage.
Boards and C-suites that want an independent, numbers-first read before committing to a multi-year roadmap.
Businesses where a 10 to 20 percent efficiency gain in one core workflow is worth eight figures a year.
Start with the narrow slice that pays back fastest.
Twenty minutes to look at your operation and where strategy & advisory actually earns its place.