Case studies

What the sprint looks like in practice.

Representative engagements drawn from the kind of work the AI Acceleration Sprint is built for. Details are illustrative and anonymized — the patterns are real.

Behavioral health platform · Series B
Day 12
PHI-to-LLM exposure found and fixed two days ahead of the guarantee
The exposure no one had reviewed

AI shipped faster than security could keep up

A ~40-engineer platform was pushing AI-assisted clinical features. The review found a feature passing identifiable patient context to an external model with no BAA in place.

✓ Routed through a governed, BAA-covered path within days

✓ Added a guardrail to block the pattern going forward

✓ 90-day sequence unblocked the stalled AI roadmap
Telehealth software · Growth stage
3→1
Three stalled integrations reduced to one clear critical path
Roadmap recovery

A roadmap buried under integration debt

Every sprint added more debt than it cleared. The five-pillar review cut through the noise, sequencing what actually mattered and stabilizing delivery cadence.

✓ Prioritized the one integration blocking revenue

✓ Rebuilt a delivery cadence stakeholders could trust

✓ Investment framework gave leadership board-ready numbers
Digital therapeutics · Early stage
6 wks
From "we think we're compliant" to a documented governance baseline
Governance from zero

Fast-moving team, no AI guardrails yet

Engineers were shipping with AI coding tools and no policy for what data could touch them. The sprint established governance without slowing the team down.

✓ Documented policy for data and AI tool usage

✓ Guardrails engineers could actually work within

✓ A build sequence that kept velocity high and risk low
Engagements are anonymized and illustrative of representative outcomes. Real named references available on request during scoping.

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