On a 100-day clock.
Value-creation plans on a 100-day clock; operating partners and CFOs who need AI to show up in the P&L.
Tied to the P&LWCG helps operationally complex organizations launch their first controlled AI workflow in five weeks, without sending sensitive data into unmanaged tools.
Built for sensitive workflows: private, hybrid, or external depending on your security posture.
Launch AI without giving up control.
Private by design. Hybrid when it helps. Built around operating impact.
Learn about Private AI →Value-creation plans on a 100-day clock; operating partners and CFOs who need AI to show up in the P&L.
Tied to the P&LPHI that can't touch the public cloud; HIPAA and audit-ready by design.
HIPAA-readyClient and regulatory data that stays inside your perimeter.
Stays on-premConcrete starting points across three areas. The actual first workflow is chosen in week 1.
In five weeks, WCG helps your team select, design, and prototype one high-value AI workflow mapped to a measurable operating lever, on the right private, hybrid, or external architecture, and leave with a rollout plan and a fixed-scope build proposal.
DeliverablesProduction rollout is the separate, fixed-scope Use Case Buildout (12–16 weeks), proposed at the end of the Sprint.
The Operator's Guide to AI Transformation, how to scope, de-risk, and measure a first AI workflow without losing control of your data.
Get the buyer's guide: The Operator's Guide to AI Transformation →Founded by ex–Big 4 consultants, WCG is built for operationally complex work: we start with the operating model, then ship working AI, on the architecture your data requires. You work with senior practitioners who have done this inside real operations, not a junior-staffed agency.




"We only take work we'd stake our own name on. That's why we start with the operating model, and why we keep your data under your control."
Mete Tuzcu, Founder & Principal Consultant
Trusted on engagements across healthcare, financial services, and PE-backed mid-market.
Anonymized · large hospital group
A large hospital group reconciled $500M in labor expenses using AI-assisted document understanding (97%+ extraction accuracy), turning a multi-month, large-team process into a few weeks, with fewer people and fewer errors.
An enterprise-scale example also exists; most Sprints run 5 weeks at mid-market scope.
Read the full case study →$35K, with no scope-creep surprises.
After we confirm the workflow, data access, feasibility, and success metric: confirm, rescope, or stop before build work begins.
The workflow, pipeline, and logs are yours.
No vendor, model, or cloud lock-in.
Production rollout is the separate, fixed-scope Use Case Buildout (12–16 weeks), proposed at the end of the Sprint.