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How engagements runWhat working with us looks like.
Three representative scenarios, drawn from the situations we're built for, showing exactly how our methodology moves a client from uncertainty to an operating, audit-ready program.
These are illustrative engagements, not client histories. They show how our methodology applies to the situations our clients face, with the phases, deliverables, and decision points you can expect. We'd rather show you exactly how we work than dress up claims we can't evidence. References from live work are available in conversation, under the confidentiality our clients expect.
Scenario 01 · Healthcare
A health system discovers its shadow AI.
The situation: a multi-site health system where clinicians and staff have quietly adopted AI tools, transcription in exam rooms, chatbots for drafting messages, copilots in the dev team, none of it inventoried, none of it approved, all of it touching data that HIPAA cares about. The board asks a simple question no one can answer: what AI are we running?
The engagement: a five-week readiness assessment. Discovery interviews across clinical, IT, compliance, and legal. Shadow-AI discovery against network and SaaS logs. Every use case inventoried and risk-classified. Findings scored against our 8-domain maturity model.
- Complete AI inventory with risk classification per use case
- Executive scorecard & maturity baseline across 8 domains
- Risk heatmap: what to stop, what to approve, what to fix
- 90-day plan: intake process, review board, acceptable use policy
What the client walks away with: an answer for the board, a defensible position for the next audit, and a governed path that lets clinicians keep the tools that actually help them.
Scenario 02 · Financial Services
A lender's engineers want Copilot. Risk wants proof.
The situation: a mid-market lender whose engineering VP wants GitHub Copilot and Claude Code rolled out to 120 developers. The CISO won't sign off without controls; the engineers are already using personal accounts anyway. Classic standoff: prohibition isn't working and permission feels reckless.
The engagement: an eight-week SDLC governance build. Enterprise tenants configured with training and retention terms locked down. AI coding standards and secure prompting guidelines written with the engineers, not at them. Human review checkpoints and coverage gates wired into CI/CD. Secrets detection and vulnerability scanning enforced on every merge, with evidence collected automatically.
- AI-assisted development policy the regulators can read
- Configured enterprise controls across Copilot & Claude Code
- Review gates & audit evidence built into the pipeline
- Quarterly control-testing cadence with the risk team
What the client walks away with: developers on sanctioned tools at full speed, a CISO who can evidence every control, and an end to the shadow-account problem, because the governed path is the easier path.
Scenario 03 · Manufacturing
A distribution floor where scanners kept dropping.
The situation: a regional distributor whose warehouse Wi-Fi was designed for an empty building. Racking went up, inventory went in, and coverage died in the aisles, scanners dropping mid-pick, an automation rollout stalled, and an IT manager stretched across three sites with no backup.
The engagement: measure first. An RF survey of the loaded facility, not the floor plan. Predictive redesign validated against real rack density, then a self-performed deployment over two weekends without stopping operations. Managed IT layered on afterward: monitoring, patching, and a service desk that answers.
- RF survey & coverage redesign validated under real load
- Deployment executed without operational downtime
- 24/7 monitoring & managed support across all sites
- A documented network the next hire can actually inherit
What the client walks away with: scanners that hold connection in every aisle, an automation project unblocked, and one accountable partner instead of three finger-pointing vendors.
See the methodology on your problem.
Tell us what you're facing and we'll map it to an engagement, with a plan, a price, and a clear first step, in under 24 hours.