PaddingtonSovereign Agentic Infrastructure

For companies

Go fully agentic, one value stream at a time.

Company-wide AI programmes stall because they start from tools. Start from the work instead. Pick a value stream, put agents on it with the people who run it, on infrastructure you own. Then do the next one, faster, on the same platform.

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The board

See the whole company, step by step.

Every value stream, every step, marked by how much of it agents do and whether they do it on rails. It is the plan, the progress report and the risk register in one view.

Value streams · Acme Insuranceexample
Value streamIntakeTriageDecideActRecord
Claim to payouton railson railsagenticagenticassisted
Quote to bindagenticassistedmanualmanualassisted
Issue to resolutionassistedassistedmanualassistedmanual
Procure to paymanualmanualmanualmanualassisted
Hire to onboardmanualassistedmanualmanualmanual
manualassisted: a person uses AIagentic: agents act, people approveon rails: agents act, rails decide
5value streams mapped
4 of 5steps agentic in claim to payout
2steps on rails
Nextquote to bind

The method

Four steps, then repeat.

The second stream costs less than the first: identity, data, policy and the portal are already there.

Step 1 · one week

Map

Walk the stream with the people who run it. Mark every step manual, assisted, agentic or on rails.

Step 2 · 2 to 4 days per app

Build with the team

A business applications engineer builds the first agentic app with the front-line team, on Kilter.

Step 3 · before it acts

Put it on rails

Airbender ARC decides every consequential action and keeps evidence of each decision.

Step 4 · then

Measure and move

Measure the stream's outcome, move the next step, then the next stream.

Shipped

Two apps, built on Kilter.

Real applications built on Kilter. The payoff shows up twice: the application shrinks, and the parts you'd normally get wrong move into infrastructure you can read.

Healthcare · HIPAA

A regulated publishing platform, built in 45 minutes

The compliance surface moved off the application and into infrastructure you can point an auditor at, so the app stayed tiny and the controls stayed provable.

  • Access control → Postgres row-level security (the database says no, not an if-statement)
  • Immutable 6-year audit trail → statement-level triggers the engine physically enforces
  • Author → clinical → compliance approval → a Temporal workflow that can't be sidestepped
  • Identity & PHI-handling agents → Ory principals, every action audited with provenance
Postgres RLSTemporalOryTanStackPython agents
ITSM · ServiceNow replacement

An agentic ITSM platform where the engine is the product

The lifecycle, the audit, and even the UI's safety moved into canonical primitives: one universal record, one mutation door, an AI-generated interface a dumb renderer paints from an allowlist.

  • Every lifecycle (incident, change, approval, SLA) → a durable Temporal workflow
  • One universal work_item + one withMutation door → tx, audit, and outbox, atomic
  • Event-driven, not event-sourced → Postgres is truth, Kafka builds projections
  • AI-generated SDUI → a schema-validated, signal-allowlisted renderer that can't surprise
TemporalKafkaPostgres+pgvectorOrySigNozbifrost LLM

Start with one stream

Map a value stream with us.

One week with the people who run it. You leave with the board, the first app to build, and the steps to put on rails.

Request beta access