How the work has shipped.
Anonymized, methodology-honest write-ups of recent engagements. Four cases, each with its own full write-up, figures as reported.
Four engagements, as reported.
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.
A 200+ person marketing operations team ran high-volume work across disconnected tools, spreadsheets, and manual handoffs, with similar tasks handled differently across the group. We mapped how the work actually moved, unified it onto a single Airtable source of truth, and set the foundation for AI to automate the repetitive, high-volume steps.
A cloud application built on AWS and Microsoft gave project managers live tracking of timelines, budget, and spend, improving delivery timelines and budget control across a portfolio of infrastructure projects.
B2B customer segmentation (k-means into four distinct groups) revealed cross-sell and upsell opportunities and supported more personalized service, improving customer experience and growth.
Anonymized; results as reported by WCG. Most engagements are smaller and more focused than the figures above: one workflow, five weeks, one team.
What the First 5 Weeks looks like at mid-market scope.
Representative of typical mid-market engagements.
Tell us about your current state.
The First 5 Weeks. A working prototype, a rollout plan, and a fixed-scope build proposal. One fixed fee, agreed upfront.
Not ready to talk? The Operator's Guide to Practical AI covers how to scope and de-risk a first workflow. Get the guide →
