Work
See AI at work.
Production systems solving real business problems, not prototypes or strategy decks. Each one starts with the work people were doing and ends with what changed.
Healthcare
2 systems
Community Health System/Engineer · Operate
A scheduling engine on a legacy EMR books 250,000 appointments a year.
A health system with 100+ clinics was stuck on a scheduling module that couldn't keep up. We built a new scheduling engine on top of their EMR instead of replacing it.
- appointments/yr
- 250K+
- appointments/yr
- avg booking time
- 1:37
- avg booking time
- uptime
- 99.9%
- uptime
Healthcare Startup (DME)/Engineer
AI scores reimbursement likelihood before a medical device ships.
A DME startup was writing off revenue because nobody could predict which placements would get reimbursed. We built an AI engine that checks every case against Medicare and Medicaid policy before anything goes out the door.
- industry write-off rate
- 20-50%
- industry write-off rate
- scoring
- Real-time
- scoring
- documentation
- Audit-ready
- documentation
Private Equity
2 systems
PE-Backed Enterprise/Engineer · Operate
One AI assistant answers HR questions across every acquired company.
A PE-backed study abroad provider had acquired multiple companies, each with its own HR systems, policies, and tribal knowledge. We consolidated everything into SharePoint and built a generative AI assistant that answers people ops questions across the entire enterprise.
- of employees
- 100%
- of employees
- knowledge layer
- 1
- knowledge layer
- rebuild per deal
- 0
- rebuild per deal
PE Portfolio Companies/Govern
Security remediation that cleared every audit inside the deal timeline.
Multiple PE-backed companies needed security work done fast — pen test remediation, vulnerability assessments, credential hardening, DDoS mitigation, and a zero-downtime cloud migration. All under deal or audit pressure.
- engagements
- 5
- engagements
- downtime
- 0
- downtime
- audit pass rate
- 100%
- audit pass rate
What’s newly possible in your business?
Tell us about the workflows slowing you down. An AI engineer, not a salesperson, will help you work out whether today’s AI can meaningfully change them.
We’re a strong fit when you have
- Knowledge-heavy work that spans several systems
- High volume, manual handoffs, or expensive errors
- Proprietary data and hard-won institutional knowledge
- Real security, compliance, or integration requirements
- An executive who owns the outcome