Acme Corp is a composite case study based on patterns we see across mid-market logistics and supply chain deployments. Specific figures are illustrative of typical outcomes.

The starting point

Acme Corp, a 2,000-employee logistics and freight brokerage company, had reached the point familiar to a lot of mid-market companies: individual teams had signed up for AI tools independently — dispatch used one chatbot subscription, customer support used another, and several engineers were calling model APIs directly from internal scripts with personal API keys. IT had no visibility into total spend, no consistent security review, and no way to answer "what did an AI system access or do" when a customer asked about a specific interaction.

The trigger for change was a budget review that surfaced over $38,000 in monthly AI-related spend scattered across 11 different billing accounts, with no single owner and no usage attribution by team.

The rollout

Week 1

SSO connected, IT and security teams onboarded, budget dashboards live

Week 3

Dispatch and customer support migrated off point-tool subscriptions

Week 5

Knowledge connectors live for carrier contracts and rate sheets

Week 6

Direct API key usage fully retired org-wide

What changed

The biggest immediate win wasn't a new capability — it was consolidation. Moving every team onto the Governed AI Workspace meant Acme Corp could apply model routing and caching across the entire organization's usage at once, rather than department by department. Their two largest use cases — customer support responses and carrier rate lookups — turned out to be highly repetitive across employees, which made them ideal candidates for semantic caching.

Dispatch and support teams also gained a connector-backed knowledge base with citations, replacing a habit of copy-pasting rate sheets and contract terms into chat windows by hand — reducing both the time per lookup and the number of outdated answers being repeated from memory.

The results

45%

Reduction in total AI spend within 90 days

11 → 1

Billing accounts consolidated to one

6 weeks

From kickoff to full org rollout

100%

Of AI interactions now covered by SSO and audit logging

"We didn't set out to save money — we set out to get visibility into what was actually happening. The savings showed up because once you can see everything in one place, the waste is obvious." — a scenario reflecting feedback we hear consistently from IT leaders after consolidating shadow AI spend onto a governed platform.