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.

Become a Founding Customer See the Platform
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.
Discover
Product view — Discover
Discover product screenshot
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 Trust Architecture

From operational knowledge to governed AI workers — inside your environment

Bounded Autonomy discovers how work actually happens, distills that knowledge into structured agent instructions and evals, then manufactures, evaluates, deploys, and operates AI workers inside the customer-controlled environment.

Knowledge stays in your tenant

Conversations, SOPs, policies, traces, and evaluation artifacts remain inside your environment.

Discover before build

Operational knowledge is mined before agents are manufactured.

Instructions from evidence

Agent behavior is derived from real workflows, policies, and SME validation.

Evals from the same blueprint

Test cases and rubrics come from the same operational specification that guides the worker.

Every run is scored

Production behavior is continuously evaluated against SOPs, policies, and expected outcomes.

Production improves the factory

Run traces, findings, and drift signals feed back into the next build cycle.

Customer Cloud / On-Prem Environment

All operational data, knowledge distillation, agent build, evals, runtime, telemetry, and audit stay inside this boundary.

single-tenant
Discover / Knowledge Distillation
Mines how work actually happens — turning messy operational reality into structured agent intelligence.
Customer Conversationscalls, chats, emails, portal messages
SOPs & Policiesprocedures, regulatory rules, business policies
Case Historyprior resolutions, tickets, claims, complaints
SME Reviewexpert judgment, corrections, approvals
Enterprise SystemsCRM, claims platform, workflow tools, KBs
Operational Knowledge Model
The governed knowledge substrate behind every worker.
workflow stepsdecision pointspolicy constraintsexception pathsrequired evidenceescalation rulesdata contractstool / API requirementsquality criteriaprohibited actionshuman-in-the-loop rules
Manufacture · Evaluate · Run
Agent FactoryManufactures governed, observable, deployment-ready worker containers — guardrails, memory harness, grounded retrieval, I/O validation, fault tolerance, audit telemetry.→ Governed Worker Image → registry
Agent EvalGolden datasets, generated scenarios, replay & stub, LLM-as-judge, regression & safety checks at the CI/CD gate.Promote only when evals pass
Agent OSRuns workers with identity, policy, memory, tools, approved model access, and telemetry — on your Kubernetes cluster.→ Governed Digital Workers
Operate / Agent Insights
Scores every run, diagnoses drift, and routes improvements back into the factory.
run scorecardsSOP adherencedrift signalsroot-cause findingsaction centeraudit records
Production Learning Loop — feeds back into Discover, the Operational Knowledge Model, Agent Factory & Agent Eval.
Cross-Cutting Enterprise Controls — spanning Discover, Build, Eval, Run & Operate
AI Security Control Planemodel & tool access · guardrails · action logging
Agent Identity & Governanceidentity mapping · attribution · least privilege
Policy / GuardrailsSOP & regulatory · PHI/PII · escalation
Secrets & Key Vaultcustomer-owned creds · LLM keys · tokens
Audit Storeimmutable history · decisions · approvals
SOC / SIEM Integrationsecurity · model · tool · agent events
Approved External Services — optional & governed
Approved LLM EndpointAzure OpenAI · OpenAI · Anthropic · private / customer-approved model provider
External Enterprise Servicesapproved third-party services, payer platforms, data sources or APIs — where applicable
The differentiator is not the worker container. It is the knowledge loop.

Bounded Autonomy discovers the operating model, converts it into structured instructions and evals, manufactures the worker, scores every production run, and feeds real-world learning back into the next version — all inside the customer-controlled environment.

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.

Scope Your First Use Case Talk to the Founders
A working session in the next two weeks · single-tenant, deployed in your environment