#case-study

Anonymised cross-functional AI program at a Fortune 500 — situation, approach, outcomes across marketing, sales, support, finance, ops, legal.

Anonymised LangFuse rollout for agent observability — situation, approach, OpenTelemetry adoption, cost attribution, drift detection, outcomes.

Anonymised AI coding rollout at a 100-developer team — Claude Code + Cursor adoption, productivity data, skill library scale, quarterly review.

Anonymised prompt-library build at a platform engineering team — naming, versioning, eval suite, regression cron, lifecycle discipline, outcomes.

Anonymised fintech support program — knowledge audit, RAG build, deflection pilot, CSAT-controlled ramp. 50% tier-1 deflection at neutral CSAT.

Anonymised publisher case study — AI content engine at 100 posts/month, fact-check chain, schema discipline, refresh cadence, and ROI outcomes.

Anonymised marketing-agency MCP rollout — server catalog, distribution model, governance, outcomes across analytics, CRM, content workflows.

Anonymised legal-research RAG deployment — corpus design, citation discipline, faithfulness eval, source-attribution UX, and billable outcomes.

Anonymised 30-developer shop's Claude Code adoption — install playbook, skill kit, hooks, memory discipline, productivity outcomes, lessons.

Anonymised mid-market SaaS agentic SEO rollout — keyword audit, crawler config, velocity ramp, citation tracking, refresh discipline, outcomes.