Find your calm with Fern Strategy.
Agentic AI for regulated, high-stakes work.
Fern moves your team from using AI tools to running on agents, with the governance to make it safe.
Fern takes on a limited number of engagements at a time.
Fern Strategy joins your team to lead mission‑critical work and leaves you with the strategy to keep it going.
AI Governance Gateway for Regulated Data
One auditable channel that lets AI agents work with regulated data: no direct vendor access, and every action logged for compliance review.
Selected Work
How Fern puts agents into high-stakes, regulated workflows.
How you engage
Start with a two-week Audit. Build only if the math holds. Stay supported after.
Audit
Fern maps the workflow, finds where agents create real leverage, and leaves you with a quantified, build-ready roadmap. If the math doesn't justify a build, the Audit says so. A clean off-ramp, not a sales funnel.
Start with an AuditBuild
Fern ships one production agentic system: a redesigned workflow, a named agent architecture, audit trails, observability, and documentation. Your team owns it from day one.
Discuss a buildFractional Architect
After the build ships, the capability stays in-house and Fern stays accessible: architecture reviews, the next workflow, and keeping the system healthy as it grows. No lock-in, ever.
Talk to FernWhat you get
Clear AI Roadmap & Architecture Decisions
No more analysis paralysis—know exactly what to build and how.
A Production System Your Team Owns
Redesigned workflows shipped to production, yours from day one.
Team Capability Upgraded
Your team runs it after Fern leaves. You own the instance; Fern keeps only the general patterns.
Built for regulated environments
Your infrastructure, your data
Systems run on infrastructure you own. Your data stays inside your perimeter, and Fern will sign the agreements your compliance team requires (BAA, DPA, MSA).
You own it, end to end
Every build is documented so your team can run and extend it without Fern. No lock-in, and no key-person dependency.
Governed by design
Audit logs on every action, explicit access controls, and humans in the loop on the decisions that carry real risk.
What's the investment?
The two-week Audit is a fixed fee starting at $7,000. You leave with a quantified roadmap whether or not you build with Fern. Build and Fractional Architect engagements are scoped after the Audit; teams putting AI into a high-stakes workflow typically invest $20,000+/month while a system is being built.
Fern is a single principal and takes on only a few engagements at a time, so fit matters. Fern works best with teams that have leadership backing and the budget to put agents into work that matters. If that is not you yet, the Audit is still the honest place to find out.
Start with a two-week AuditLeadership
Will Drewes
Founder & Tech Lead
Will is a veteran Silicon Valley engineering leader and hands-on architect with 15+ years building complex, high-stakes distributed systems, now focused on taking agentic AI into production where reliability, security, and compliance are non-negotiable.
He has shipped production AI at scale. At UnitedMasters he led the 0-to-1 build of Blueprint AI, a generative-AI music-business coach and release-marketing assistant whose agentic workflows guide 2M+ artists.
His regulated track record runs just as deep. At Science 37 (which he helped scale to a public listing) he built HIPAA- and GxP-compliant clinical-trial systems and a FHIR/EHR integration across a network of 10,000+ providers, including the eConsent platform that recruited 42% of participants in a Phase 3 COVID-19 trial, at the industry's first FDA-inspected direct-to-patient site.
Training & Certifications
Design partners
When a project needs design, Will brings in go-to product designers he has worked with for years. They go beyond technical correctness, crafting AI that feels natural, trustworthy, and delightful, and that resonates with how people actually think. You always know exactly who is doing your work.
The AGENT Method
Audit and Gauge to aim, then Engineer, Navigate, and Track in tight loops until your team can run it without Fern. Fast where it helps, disciplined where it counts.
Audit
Two weeks, fixed fee. Fern maps how the work actually runs today: the triggers, handoffs, failure modes, and undocumented workarounds. You get a quantified baseline and an honest picture of where AI creates real leverage. No bloated decks, no endless discovery loops.
Gauge
Fern grades every candidate workflow on impact, repeatability, and complexity, then tests for the zone where agents actually hold up. You get a prioritized roadmap that exposes dependencies and the highest-ROI use cases, not a hand-wavy strategy.
Engineer
Fern refactors the workflow for straight-through, agent-first execution. Every handoff gets questioned, decision logic becomes explicit, and data becomes machine-readable. The output is a redesigned workflow with a named agent architecture, not a chatbot bolted onto the old process.
Navigate
Speed without recklessness. Fern designs the human-agent relationship deliberately: where the agent acts on its own, where it escalates, the confidence signals it surfaces, and the off-ramp if rollout struggles. Trust is engineered through transparent intervention paths, audit logs, and graduated autonomy.
Track
Fern ships in short, outcome-driven cycles and measures capability expansion against the baseline, not vanity metrics. Every build is designed to be owned and extended by your team. The engagement ships when the metrics hold and your team can run the system without Fern.
