// 04 · Practice Area

AI strategy grounded
in what will ship.

A structured assessment of where AI creates real leverage in your business — and a costed, sequenced roadmap to get there. No 80-slide decks. No vendor pitches. Just a clear plan built by engineers who will actually build what they recommend.

2-4
Week timelines
$10K
Starting investment
8
Domains assessed
// Audit Output
A Studios-grade roadmap.
Current-state assessment across 8 domains
Prioritized opportunity register
12-month implementation roadmap
Build vs. buy decisions, costed
Risk, governance, and compliance plan
Executive readout + working session
// What we assess

Eight domains. One coherent picture.

Most AI strategy work stops at a list of use cases. We go deeper — through data, infrastructure, security, talent, and governance — so the roadmap holds up when engineering starts building.

01

Business & use cases

Workflows where AI shifts unit economics, throughput, or margin. Scored by value, feasibility, and time-to-impact.

02

Data readiness

Where your data lives, what shape it's in, what's missing, and what it will take to make it usable for retrieval and agents.

03

Infrastructure & tooling

Cloud, model providers, vector stores, orchestration, and the cost envelope of running production AI on your stack.

04

Security & privacy

PII handling, tenant isolation, prompt-injection surface, model-provider posture, and what to keep out of third-party APIs.

05

Governance & compliance

Policy, approval flows, audit trails, and the controls a regulated buyer will ask about before signing.

06

Talent & operating model

Who owns AI internally, what to hire, what to outsource, and how engineering, ops, and leadership coordinate.

07

Vendor & build strategy

Where buying SaaS wins, where building wins, and where a thin custom layer over a vendor wins. With numbers.

08

Roadmap & sequencing

What to do in 30, 90, and 365 days — sequenced so each step funds, de-risks, or accelerates the next one.

// How it runs

Three weeks. Fixed price. No surprises.

Week 01

Discovery

Stakeholder interviews, systems walkthrough, data inventory, and a shared definition of what "winning with AI" means for your business.

Week 02

Assessment

We score every domain, pressure-test candidate use cases, and model the cost and risk of each path. You see the working, not just the conclusions.

Week 03

Roadmap

A sequenced 12-month plan with budgets, owners, and dependencies. Delivered as a working document — not a deck that goes in a drawer.

// Engagements

Pick the depth that fits.

All three engagements are fixed price, fixed scope, and delivered by senior engineers — not analysts.

Tier 01

AI Audit & Roadmap

3 weeks · $10,000. Full 8-domain assessment and a 12-month roadmap. The default starting point.

View details
Tier 02

AI Compliance Setup

4 weeks · from $15,000. Adds policy, controls, and audit-ready documentation for regulated industries.

View details
Tier 03

Fractional AI CTO

Ongoing · from $8,000/mo. Senior AI leadership embedded with your team for execution, hiring, and architecture.

View details
// Who this is for

Operators who want a plan they can actually run.

You're a fit if…

  • You have real workflows, real data, and budget for production AI in the next 12 months.
  • You want engineers — not a Big Four deck — telling you what's possible and what isn't.
  • You need a roadmap your board, your CFO, and your engineering team will all sign off on.
  • You're past prompt experiments and into "what do we actually ship and own?"

Probably not a fit if…

  • You're looking for a 200-page strategy artifact with no implementation partner behind it.
  • You want a vendor evaluation written around a tool you've already chosen.
  • You don't have leadership alignment that AI is a priority in the next 12 months.
// Next step

Get a roadmap built by the team that will help you ship it.

30 minutes. We'll tell you whether an audit is the right starting point — or whether you should skip straight to building.