AI Strategy & Governance

Roadmaps,governance,
andadoptionbeforetools.

Most AI engagements fail because the strategy work happens after the tool selection. We work the other direction: define the operating model first, then choose what fits.

What this solves

AI ambition without an operating model.

Leaders know AI matters. They are less sure where it fits, how it should be governed, and what the first six months should actually produce. We design the strategy that survives contact with quarterly planning.

  • Boards asking what the company's AI posture is, with no firm answer.
  • Executives evaluating tools without a framework to evaluate against.
  • Teams piloting AI in pockets, with no path from pilot to operation.
  • Compliance posture decided by whoever is loudest in the room.
What we build

Strategy artifacts your team can actually act on.

AI strategy at TRG is not a deck. It is a roadmap, a governance posture, a risk register, and a decision framework — all delivered against the operation you actually run.

01

Roadmaps

Phased adoption plans tied to your operating cadence: pilot → operational → embedded. Each phase has an entry gate and an exit criterion.

02

Governance Frameworks

Decision rights, data classification, approval thresholds, and audit posture — designed to fit the regulatory environment your business operates in.

03

Risk Registers

Mapped risks across confidentiality, accuracy, vendor lock-in, regulatory exposure, and operational dependency — with mitigation owners.

04

Decision Frameworks

Vendor-neutral evaluation criteria for tools, models, and partnerships. We leave behind a framework you can use on next year's decision too.

Recommended approach

Operating-model first. Tools after.

We work backward from the operation. The deliverable is a strategy your team can use to make decisions for the next 24 months — not a one-time recommendation.

Readiness assessment

Where AI fits, where it doesn't, and where the operation has to change first.

Use-case ranking

Prioritized portfolio with effort, value, and risk scored.

Governance design

Decision rights, data posture, approval flow, audit trail.

Vendor-neutral selection

Frameworks for picking models and platforms — without our affiliate list in the room.

Operating model

Who owns what, how the system gets tuned, how it expands.

Board-level brief

An artifact that boards can read in fifteen minutes.

Integration considerations

Strategy that lives inside the operating cadence.

Strategy work is only useful if it shows up in next quarter's roadmap. We design engagements to leave behind decisions and frameworks — not artifacts.

  • Roadmap deliverables tied to the existing quarterly planning rhythm.
  • Governance posture scoped to fit your regulatory environment (HIPAA, GDPR, SOC2, ITAR — whichever applies).
  • Risk register handed off to a named owner inside your org, not parked in a Drive folder.
  • Re-engagement cadence built in — every 6–12 months, we revisit the framework against new model capabilities.
Schedule a consultation

Tell us the AI decision sitting on your desk.

Whether you are scoping a first pilot, evaluating a vendor, or briefing a board — we will come back with our honest read and a framework you can keep using.