AI Transformation for Regulated Industries

AI that transforms the work. Not just the tasks.

We build AI agent systems that take over complete workflows in regulated industries, on the systems you already have. Human oversight and full audit trails from day one.

See How It Works
Workflow: Premium Reconciliation · owned end to end
Audit-ReadyHIPAAIn-Boundary
Intake
Carrier statements
ingested · classified
Agents execute
Relay Vault
match · resolve · escalate
Human oversight
Your team approves
high-stakes only
Audit trail
Immutable log
exam-ready
09:14:02 · agent.match · 1,204 statement lines reconciled against ledgerlogged
09:14:07 · agent.escalate · 3 discrepancies above threshold → routed to J. Alvarezawaiting review
09:21:44 · human.approve · override on line 88 recorded with rationalelogged
09:21:45 · system.report · reconciliation packet issued · 0 PII exposuresverified
Production agents live in weeks, not quarters2x to 50x workflow throughputSOC 2 & HIPAA-aligned controlsBuilt by operators from insurance & enterprise software

Why Trust Us

Built by the co-founder & CTO of Ease.

Courtney Guertin built Ease, the ben-admin platform now merged with Employee Navigator. He knows regulated back offices from the inside, because he built the systems they run on.

195K+
businesses powered by Ease & Employee Navigator together
14M+
employees managed on the platform
600+
carrier, payroll, and partner integrations
SOC 2 Type II in progress  ·  HIPAA  ·  BAAs with major model providers

The Difference

Most AI saves minutes. Ours changes the operating model.

An automation answers an email or fills a form. Useful, but your team still runs the workflow. We build agent systems that own the whole thing.

Task automation
Saves a task, then hands the work back to a person
Your team is still the integration layer between systems
Five handoffs and three spreadsheets, just slightly faster
Volume ceiling stays exactly where it was
Workflow transformation
Agents own the workflow: intake, execution, reporting
Work runs continuously, across every system it touches
People supervise outcomes instead of pushing work around
Multiples of today's volume, same headcount

And leadership gets more visibility into how work happens, not less.

Our Approach

Governed AI Engineering

Modern AI is fast and capable. Regulated work demands judgment, oversight, and proof. We engineer both into every system we ship.

Humans in the Loop, by Design

High-stakes decisions stay with your people. Agents do the work, flag the edge cases, and ask before they act.

Hard Guardrails

Every agent has explicit authority. When a task crosses that line, it escalates instead of improvising.

Your Data, Your Boundary

Each task runs where your data policy says it should. Sensitive data can stay entirely inside your walls.

No Lock-In

You own the system. Models, providers, and components swap out as the landscape changes.

Compliant from Day One

Designed inside your SOC 2, HIPAA, and regulatory framework. Never retrofitted for the audit.

Every Action on the Record

Logged, explainable, and auditable end to end. Your auditor sees exactly what happened and why.

Where your data goes, and where it doesn't

Depending on the job, each task runs in one of three boundaries. We pick the best tool for the work, never the other way around.

Boundary 1
Frontier models via API
Non-sensitive or redacted reasoning, under BAAs and zero-data-retention agreements.
Boundary 2
Frontier models in your cloud tenant
Bedrock, Azure OpenAI, or Vertex. Data never leaves your cloud.
Boundary 3
Open-source models in your environment
Local LLMs in your VPC or on-prem. PII and PHI never cross the boundary.

How It Works

Audit. Design. Deploy. Hand off.

01
AI Opportunity Audit

A short embedded review of how work actually moves: teams, systems, handoffs, decision points. We find where people are the integration layer and rank opportunities by impact and risk.

02
Architecture & Redesign

We design the agent system inside your existing stack. You approve the design, the guardrails, and the escalation paths before anything is built.

03
Production Deployment

Agents go live in your environment in weeks, within your permissions, security posture, and compliance framework, with human oversight on every high-stakes decision.

04
Optimization & Handoff

Agents improve from your team's feedback and overrides; your team learns to govern and extend them. You end the engagement AI-native, not dependent on us.

Ways to Work Together

Start small. Scale on proof.

01Start here
AI Opportunity Audit

A fixed-fee, two-to-four-week embedded review of how work moves through your organization. A ranked map of AI opportunities by impact, risk, and effort, plus a build plan for the first workflow. Useful on its own, whether or not we build together.

02
Scoped Engagement

We design, build, and deploy an agent system for a defined workflow, from architecture through production, with your team involved throughout. Fixed scope, fixed timeline, clear deliverables. Most first workflows are live in 6 to 12 weeks.

03
AI Partner

An ongoing capacity retainer: extending agents into new workflows, building new systems as priorities shift, keeping everything current as models and regulations evolve. Senior engineering capacity without the hiring cycle.

Most clients start with the Audit. Where you go from there is up to you.

Where We Transform Workflows

High-volume, high-compliance operations.

Deepest experience in insurance and benefits. Same discipline everywhere.

Insurance & Benefits Operations

Enrollment, eligibility, policy administration, billing, and reconciliation across carriers, platforms, and partners.

Claims & Case Processing

Intelligent intake, documentation analysis, triage, and routing, with a complete audit trail on every decision.

Financial Operations

Reconciliation, commissions, multi-party payment workflows, and discrepancy resolution across systems that were never designed to talk to each other.

Back-Office & Compliance Workflows

The recurring, rules-heavy processes that consume your most experienced people: reporting, filings, data movement, exception handling.

What We Build

Four ways we put AI to work.

AI judgment where it's needed, code-level precision everywhere else. Our systems execute like software: exact, testable, and repeatable.

01 // SHIP
Engineering Velocity

Shorter build cycles and a faster shipping cadence for your own engineering team.

Coding agents in your SDLCAgent-driven dev workflowsAutomated test coverageFaster release pipelinesBuild & deploy tooling
02 // RUN
Workflow Takeover

Repetitive manual work handed to agents, end to end.

Intake & onboardingData movement between systemsRegulatory & filing tasksDocument reading & extractionBack-office service queues
03 // KNOW
Operational Intelligence

Your institutional knowledge on tap, for every team and every decision.

Knowledge assistantsCase & exception triageDecision recommendationsLive operational reportingProcess analytics
04 // LAUNCH
AI-Native Products

Customer-facing features and whole products with AI at the core.

Customer copilotsSemantic searchRecommendation enginesConversational interfacesForecasting & predictionDomain-tuned AI features

Also in our wheelhouse: new tools and partner integrations, large code migrations, and application replatforming.

FAQ

Questions we hear most.

How long until something is live?

The Opportunity Audit takes two to four weeks. Most first workflows are in production 6 to 12 weeks after that, not the 12 to 18 months typical of enterprise AI programs.

We already tried AI internally and it stalled. Can you help?

One of the most common situations we walk into. Internal builds usually stall at the gap between a working demo and a production system with guardrails, logging, and controls. We close that gap, often keeping what your team already built.

How do you keep our data secure?

Encryption in transit and at rest, PII redaction where applicable, and deployment within your existing security and compliance framework. Sensitive tasks can run on models inside your own cloud tenant or fully within your environment.

Do we need to replace any of our systems?

No. Agents operate on top of the systems you already run. If a legacy migration ever makes sense, it's a separate, de-risked decision, never a prerequisite.

How do you price?

Three ways to work together: a fixed-fee AI Opportunity Audit, fixed-scope transformation engagements, or an ongoing AI Partner retainer. No per-seat licensing, and you're never locked in to move from one to the next.

What happens when the engagement ends?

You keep everything: the agents, the architecture, and a team trained to run and extend them. Whether you continue with us as an AI Partner or run it yourself, you're AI-native either way.

Start with one workflow. See what changes.

Book an AI Opportunity Audit. In two to four weeks you'll have a ranked map of opportunities, a build plan, and a clear price. Useful whether or not we build together.