Onboarding our founding customer

Stop building agents.
Start industrializing expertise.

Bounded Autonomy is the production and operating system for AI agents in regulated operations. It discovers how your business actually works, learns from your best subject-matter experts, and compiles that expertise into governed digital workers — proven before they ship, and scored on every run in production.

Days, not months from SOP to running agent
100% in your tenancy your cloud or on-prem — data never leaves
Governed by design every action scored, traced, and auditable
Built for regulated work where the data can't leave the building
Production & Operating System

Built like a factory.
Run like an operating system.

One closed loop, four steps — discover the work, build the worker, prove it before it ships, then improve it on every run. Select any step to go deeper.

Phase 01 / 04

Discover

We learn how your business actually works.

Before we build anything, we discover the real specification — drawn from how your best people already operate, not written from memory in a workshop.

  • Ingest the raw signal of your operation — calls, chat, tickets, SOPs, and policy — with PII and PHI stripped at the door.
  • Classify and score real interactions to surface the workflows, decisions, and judgment that drive outcomes.
  • Distill it into a structured blueprint for a worker that behaves like your top performer.
Where It Lands

Built for the work that
can't afford to be wrong

High-stakes, policy-bound, labor-intensive work — where every decision has to be defensible — is exactly where a governed worker earns its keep. The same factory pattern holds across regulated industries.

Healthcare

Member & Provider Services

Benefits, eligibility, coverage, and claim-status inquiries — resolved end to end for members and providers, inside compliance guardrails.

Financial Services

KYC / AML Review

Identity and sanctions checks, alert triage, and suspicious-activity narratives — assembled with a defensible audit trail.

Insurance

Claims Adjudication

First-notice intake, coverage determination, and policy-bound settlement — consistent, documented, and fully auditable.

Healthcare

Appeals & Grievances

Case intake and classification, evidence assembly, and regulatory-timeline tracking — with audit-ready resolution drafting that never misses a deadline.

Financial Services

Dispute & Chargeback Resolution

Evidence assembly, policy-bound adjudication, and regulatory-timeline tracking — nothing slips a deadline.

Insurance

Underwriting Review

Risk assessed against your guidelines, exceptions surfaced for review, and every decision backed by a documented rationale.

Why Bounded Autonomy

Tools and services treat AI as a project.
We treat it as an operating model.

The edge isn't building one agent — anyone can. It's industrializing how every agent is built, governed, and run, so the difference compounds with each one.

AI Agent PlatformsA toolbox
Custom AI ServicesA project
Bounded AutonomyA production line
Approach
You assemble the agent from parts.
Built once, scoped to one use case.
Same method and technology, every agent.
Specification
You author it by hand.
Consultant-authored; redone each project.
Discovered, not authored — mined from calls and SOPs.
Build
Quality depends on who builds it.
Bespoke per engagement; quality varies.
One build standard — engineering rigor baked in.
Governance
Bolted on, per tool.
Re-engineered per project, lost between them.
Governance is the architecture — a closed loop by design.
Assurance
Platform telemetry: tokens, latency, cost.
Manual QA at deploy; not re-checked in production.
Business observability — the same rubrics gate pre-prod and run in production.
Deployment

Your cloud. Your data.
Your models.

Bounded Autonomy is built for the enterprises everyone else can't serve — where the data can't leave and the auditors are real. It stands on production-grade, open foundations the industry already trusts: no proprietary black box, no lock-in.

Single-tenant, every time Each customer runs their own deployment — on your cloud or fully on-prem. There is no shared SaaS, so there's no cross-tenant risk to assess.
Bring your own LLM endpoint Point the platform at your approved provider — OpenAI, Azure OpenAI, or your private deployment. Model choice and spend stay under your control, metered per call.
No phoning home No third-party analytics, no telemetry, no hidden calls. The only outbound traffic is to the LLM endpoint you configured.
Founding Customer

Put your first governed worker
into production

We're choosing one founding customer in healthcare payer operations to harden the platform on a real problem — with a direct line to the founders and decisions in hours, not procurement cycles. If agents have to work, and have to be provable, let's scope it together.

A working session in the next two weeks · single-tenant, deployed in your environment