Agents do the work.
Experts own the outcome.
Seven decades of regulated operations, now run on Spine, our governed agentic platform. Every consequential action is approval-gated, audited and signed by a named human, so high-stakes regulated operations put AI to work without giving up the record.
In high-stakes work, an ungoverned agent is a liability, not an asset.
Generic AI is built to be helpful. Regulated work needs AI that is accountable. Three gaps stop most deployments before they start.
You cannot deploy what you cannot audit
Regulators do not accept "the model decided." Every action needs a reason, a decision-maker and a record that cannot be quietly changed after the fact.
A hallucination is a compliance event
An unbounded agent that sends a message, moves money or makes a promise can breach a regulation, a consent rule or a duty of care in a single step. The controls have to sit outside the model.
One customer’s data cannot touch another’s
Shared infrastructure without hard isolation is a breach waiting to happen. Separation has to be enforced at the database, not promised in the application.
Spine: the control plane that governs every AI action.
Spine is agentless. Your teams build agents in their own apps. Spine is where those agents are declared, allowed, run, gated and recorded, cleanly separated for each customer. It is the operating system and the flight recorder for regulated AI.
Approval gate
No write executes without an approval decision. Reads run free, writes stop at a human choice: approve, modify and approve, take over or reject and escalate.
absolute ruleTamper-evident audit
The audit log is append-only and HMAC hash-chained. Each entry links prev-hash to hash, so the record is verifiable end to end and cannot be silently altered.
prev_hash → hashHard tenant isolation
Postgres row-level security, enforced at the database. The application connects as a non-owner role, so one customer can never read another's rows. Cross-tenant denial is tested.
row-level securityReviewable procedures
What an agent may do is an Agent Operating Procedure: a git-backed spec promoted by a signed tag, not logic buried in an app. Reviewable, versioned and diffable.
AOP · signed tagPolicy-driven model router
A per-tenant LLM router with a candidate chain, retry and fail-over. Every routing decision records the model, cost and latency. Model choice is policy, not a hard-coded dependency.
cost · latency · fail-overGuardrail engine
Compliance predicates asserted after every step: never send without confirmation, no PII in a response, respect consent and permitted windows, honor a stop request. A failed assert stops the run.
asserted per stepPer-tenant policy picks the model, with retry and fail-over.
Compliance predicates checked before anything proceeds.
Only declared tools, routed through the connector hub.
No gate. The result flows straight back.
A human decides. Then it executes.
Agents earn autonomy. They do not start with it.
Every agent begins in shadow mode, acting on nothing, and climbs the ladder only on evidence. Promotion is a signed, audited decision, never an accident.
Learns in the open
The procedure runs on real interactions and acts on nothing. Writes are logged, never executed. It earns trust by agreeing with human specialists.
Acts with a human on the write
The agent proposes the action and does the work up to the boundary. Every consumer-facing write still waits for a person to approve, modify or take over.
Runs within its band
Inside a defined authority band the agent acts on its own, with guardrails live and humans on the exceptions. Step outside the band and it escalates.
Built for the work regulated operations share.
A fleet of purpose-built agents for high-stakes sectors, from finance and insurance to healthcare and public services. Different jobs, one governed runtime: the same allow-list, guardrail engine, approval gate and hash-chained audit underneath every one.
Collections & recoveries
A hardship-aware promise-to-pay negotiation with each sector’s rules encoded: disclosures at open, identity gate, contact windows, dispute and cease handling, and an empathy handoff when a plan is not enough.
Fraud & risk
Detection across mule activity, account takeover, payment fraud, claims anomalies and identity. Every case opened is a gated, audited write.
Case & customer operations
A copilot for the service and case desk across mail, records, tickets and scheduling. Reads run live; anything it sends waits for confirmation, with least-privilege access and no stored credentials.
Records & reporting
An end-to-end reporting pipeline with gated writes and a verifiable trail. Assembles the numbers, holds the publish step for a human and leaves a record you can hand to a regulator.
AI at machine scale. People where judgment lives.
The automation carries the repeatable volume. Our specialists, the same expertise behind seven decades of regulated operations, take the calls that need a human. That blend is the product, not a fallback.
Automation handles the high-volume, repeatable work around the clock, at a fraction of the cost per interaction. That protects margin without cutting the quality of the moments that matter.
The remaining share routes to trained specialists: disputes, hardship and the edge cases where a regulated decision has to sit with an accountable person. Vermeer's woman weighs before she acts. So do ours.
Compliance encoded in code, proven by tests.
The controls that matter to a regulator are not slideware. They are written into every procedure and checked on every build. A procedure that fails a compliance case does not ship.
Disclosures at open
The notice each sector requires is delivered before any sensitive detail is discussed.
Contact and consent rules
Outreach only within permitted hours and channels, and only with consent on file, enforced as a guardrail.
Disputes, appeals and stop requests
A dispute, an appeal or a request to stop is honored automatically, mid-conversation.
The eval gate
Every procedure runs against golden and compliance cases on every build. Compliance must pass at 100% or the build fails.
Seven decades of regulated operations, now delivered as native AI.
The heritage is the moat. We are not a startup guessing at compliance, and we are not a legacy operator bolting AI onto old process. We built the platform, and we bring the people who have always done the work.
Founded as a family operations business.
Scaled to serve regulated clients across sectors and markets.
Global operations, deep domain and compliance expertise.
A native-AI company, running on the Spine platform.
Bring one process. Leave with a working answer.
A working session, not a pitch: your highest-volume workflow, run through an agent, a guardrail and a named approver, live, on the record.