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Enterprise AI workflow orchestration
Orchestrate AI work you can trust.
Zatch coordinates agents, tools, policy, evidence, recovery, and optional human stages across Enterprise AI workflows. Autonomy is defined by the workflow, from fully autonomous execution to human participation where you require it.
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ILLUSTRATIVE CONSOLE
⌕Search jobs, tickets…⌘K
Production▾
JH
WORKSPACE
▾acmetenant
release142
hotfix18
docs-sync5
nightly-digest30
acme / release
release
Workflow
Running
6
Queued
12
Verification coverage
96.4%
Errors · 24h
7
JOBREPOWORKFLOW STEPSTATUSDUR
4c8a1web
4/8
running4m
7d31aweb
5/8
running7m
9e02dapi
8/8
succeeded22m
a3f90infra
6/8
failed13m
+ 137 more — one console, any workflow, whatever its steps
What supervision means
Five workflow orchestration capabilities
01
It claims the work
Every job enters from a durable source record that preserves where the work came from.
02
It pins the ground rules
Pinned workflow sources preserve the declared stages, schemas, and prompts used by a job.
03
It records execution
Zatch owns the runtime and records workflow-stage transitions for inspection and recovery.
04
It judges the result
Workflows can require independent review or human participation before a stage advances.
05
It recovers from failure
When workflow policy permits, interrupted jobs reconstruct their position from durable history.
Compose the workflow around your enterprise.
Agents and peripheral systems connect through adapter contracts selected per step. Zatch ships a Claude Code reference primary adapter; additional agents and tools can be implemented against the published capability contracts.
agent adapter paths
Claude Code · reference adapter
Additional agents · adapter SPI
integrations
GitHub
Linear
Telemetry adapters
Notification adapters
Deterministic by construction
Reliability isn't bolted on top. It's the contract every job runs under.
Source-pinned
Pinned workflows
Pinned workflow sources preserve the workflow definition selected for a job.
Portable
Portable state
SQLite supports a local runtime; PostgreSQL is available for multi-instance deployments.
Provenance
Durable source records
Every job traces back to a durable source record with preserved provenance.
Recovery
Transparent recovery
Recovery uses durable history to reconstruct workflow position under the declared policy.
Pluggable
Adapter per step
Choose a compatible declared adapter for each workflow step.
Auditable
Evidence trail
Workflow execution emits durable state and step markers for inspection and recovery.
Orchestrate Enterprise AI
on your terms.
Workflow-defined agents, tools, policy, evidence, recovery, and human participation.
Talk to us →
zatch — Enterprise AI workflow orchestration
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