We've helped enterprise teams go from 40 AI ideas and one budget to a prioritized roadmap, a working prototype, and a defensible answer for the board.
30 minutes with a founder. No BDRs, no slides.
Every enterprise AI journey starts in a different place. Some are prioritizing. Some are diagnosing. Some are already building. Pick the path that fits — we'll meet you there.
"We have 40 AI ideas, one budget, and a board asking when. We need a defensible priority order before we spend."
Walk away with: a prioritized opportunity map, an ROI model, and a buildable roadmap — plus a gated next-phase plan.
Start with AI Audit →"Something's off. Costs are creeping, margins are shrinking, but we can't localize it. We need a diagnostic before we start building."
Walk away with: a business-first diagnostic with revenue and cost leak map, prioritized initiatives ranked by impact and effort, and an ROI model — before anyone touches AI.
Start with a Business Diagnostic →"We have a team and a direction. We need a senior partner who's shipped at this scale before."
Walk away with: embedded senior engineering from day one, architecture review and production readiness, and a clear path from prototype to production.
Talk About Your Build →We've worked through HIPAA review processes and enterprise procurement gauntlets. We don't learn your process on your dime.
Eyebot: Android-tablet vision kiosk, eCommerce + telemedicine, Zenni integration. 2 kiosks live in Boston malls, 8 more across New England. "RFS saved us time, technical debt, and the quality of their work is very high."
Pattern (new practice): reconciliation/close, FP&A, fraud detection, AP automation. We're building this practice now — the framework is mature, the case studies are next. Talk to Dan if you want to be the first.
Sermo: 1.3M+ doctors across 150 countries. Product analytics, churn, customer health and embedded AI inside the product surface itself.
Pattern: unify TMS/WMS/carrier APIs, parse bills of lading, surface demand and inventory signals, flag exceptions before they become escalations. We're building this practice now — talk to Dan if you want to be the first.
Gate-based delivery, governance baked in, enterprise-grade engineering, and one team from strategy to growth.
Every engagement has explicit gates — scope lock, architecture approval, mid-build review, launch readiness. Each gate ends in a written decision.
You get a security review packet on day one — data flow diagrams, model card templates, sub-processor lists — built for regulated environments including HIPAA and GDPR.
Observability, runbooks, on-call rotation, IaC, CI/CD with security gates. The system we ship is the system your platform team can own on day one.
You're not coordinating four agencies. The same team that scoped it builds it, measures it, and operates it.
The engineering team behind brands you've already heard of. 7+ public companies, 60+ products in production.
Active users on a music-education product we built and operated. Scale that proves the engineering holds up.
Physician network across 150 countries. Embedded intelligence inside the product surface itself.
Live outdoor reality rower — mobile app, real-time metrics, hardware integration. Built in 6 months.
Connected scent products sold in ~50 countries. Award-winning enterprise consumer-product engineering.
Read the case →Security, data residency, procurement, IP, off-boarding — the questions that come up before any enterprise engagement.
We've shipped into HIPAA-regulated environments and prepare your security review packet on day one — data flow diagrams, model card templates, vendor questionnaires, sub-processor lists. We deploy into your infrastructure and your compliance framework, not ours.
Yes. We deploy into your cloud account (AWS, Azure, GCP) by default. Models can run in your VPC, against your KMS keys, with VPC endpoints for any third-party APIs. We do not require data to leave your environment.
We work as a standard professional-services vendor with SOWs scoped to gates. We sign your MSA, NDA, and DPA — we don't push our paper. We've been through enterprise procurement cycles before.
You do. All work product — code, models, prompts, architecture docs, training data — is yours under standard work-for-hire terms. We retain only general know-how.
Every build has a documented handoff: code in your repos, infra as code in your account, runbooks, on-call rotation transition, knowledge transfer sessions with your platform team.
That's the default mode. We embed with your platform, data, and security teams — using your sprint cadence, your standups, your tools. We're additive engineering capacity, not a parallel org.
An AI Audit. Two to four weeks, fixed scope, fixed price. You walk away with a prioritized roadmap whether or not we ever do another engagement.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
