Engagements

Engagements to make AI real — safely and at scale

Principal-led engagements with defined scope and deliverables. We align on objectives and constraints, then deliver decision-grade and execution-grade artifacts—pulling in specialist capabilities as required.

Remote-first (CET). Workshops onsite by agreement for key alignment moments.

Engagements Overview
The Big Picture

Why Engagements

Enterprise AI programs fail less on model quality and more on system-level decisions: unclear boundaries, missing guardrails, fragmented ownership, and no testable acceptance criteria. Without the right entry point, teams either overbuild early or accumulate risk that later becomes expensive to unwind.

How to Use Them

Choose the engagement that matches your reality: decide where AI is worth it (Discovery), define the blueprint teams can execute against (Blueprint), or embed controls and assurance so production stays trustworthy (Control Plane & Assurance).

Decision Aid

How to Choose

A simple heuristic to identify the right starting point.

When

You're early or uncertain

Choose

AI Value Discovery

Typical Signal

You need clarity, boundaries, and a credible plan before committing build capacity.

When

You're moving beyond pilots

Choose

Architecture Blueprint

Typical Signal

You need decisions, reference designs, and an operating model teams/vendors can execute.

When

You're scaling in production

Choose

Control Plane & Assurance

Typical Signal

You need repeatability: controls, evaluation, cost/latency guardrails, and audit-ready evidence.