A strategist walks colleagues through a plan on a whiteboard
Solutions

Each phase ends with evidence. You decide whether we've earned the next one.

You should know what happens, who is involved and what you get before the first meeting. This is how an engagement runs.

Our solutions

From the decision to production

AI Value Accelerator

The problem
Most AI portfolios are ranked by conviction. Few are ranked by return.
Our answer
Your leaders align on the AI use cases worth funding, ranked by value, feasibility and ROI, and leave with one clear first bet.
Explore
  • Who is in the room
  • Individual pre-work
  • The scoring lens
  • A ranked heat map

Forward Deployed teams

The problem
Most consulting stops at a recommendation.
Our answer
Forward Deployed Strategists (FDS) lead with your executives and own the outcome. Forward Deployed Engineers (FDE) build in your environment, side by side with your engineers, then hand it over.
Explore
  • Lead with your executives
  • Measured experiments
  • Built in your environment
  • Evidence at every gate
How we engage

Accelerate, prove, build, scale.

Four steps, each ending with evidence: the AI Value Accelerator sets the agenda, Forward Deployed Strategists (FDS) prove the value, Forward Deployed Engineers (FDE) take it to production, and Scale extends it across the business.

Start where you are on your maturity journey, and decide at each step whether we have earned the next one.

  1. 01Choose where AI pays

    AI Value Accelerator

    Forward Deployed Strategists (FDS) lead the AI Value Accelerator, where your leaders choose the use cases worth building first.

    Explore AI Value Accelerator
  2. 02Prove the value

    Forward Deployed Strategists (FDS)

    FDS build ROI-driving prototypes as measured experiments.

    Explore FDS
  3. 03Go to production

    Forward Deployed Engineers (FDE)

    Forward Deployed Engineers (FDE) take the prototype to production, while FDS stay hands-on as engagement leaders and report each KPI as realized, realized with feedback, or deprecated.

    Explore FDE
  4. 04Scale and feed back

    Scale

    Scale extends to multiple transformations, and the KPI readout informs the next step.

    Explore Scale
Built by CWX

See why the number moved

A data ontology accelerator we built for retail teams, and applicable to many industries.

AI X-Ray

The problem
A week in the CFO office: three teams, three spreadsheets, three answers, and the number has already moved again.
Our answer
One AI analyst with three jobs every Monday: explain why the number moved, verify every figure, and recommend what to fix first.
Explore
  • Ontology and knowledge graph
  • Deterministic math, ten checks
  • Then generative AI explains
  • The Monday briefing
Engagement models

Two ways to work together

  • We build, inside your environment

    A CWX team delivers in your cloud and your tools, to your standards, with your people embedded in the work.

  • Your engineers lead, ours support

    Your team owns the build. Ours coach, review and unblock, so capability stays with you.

Questions

Frequently asked questions

Something else on your mind? Ask us directly

  • Most consulting stops at a recommendation. We stay through delivery, with Forward Deployed Strategists who lead and engineers who build, and every phase ends with results you can check against a baseline.