AI agents you can actually trust.
Turn repeatable workflows into AI-assisted runs with approval gates, run history, risk rules, and human control built in.
Best first fit: teams already testing AI agents, coding agents, automation, or SOP-heavy ops.
The missing control layer for agentic work
Agents run in chat threads with no durable audit trail.
Every run has a ledger, owner, status, and evidence.
Run visibility
AI can draft, push, send, or change things too freely.
Risky actions wait in an approval inbox first.
Safety before speed
SOPs stay in docs while agents improvise around them.
Your real SOP becomes the workflow contract.
Procedure-backed automation
Bring one SOP. Leave with a controlled AI workflow.
FlowClaw is not trying to be another broad AI platform. The first sale is a focused Agent Workflow Pilot: we take one repeatable process, map what can go wrong, add approval gates, and produce a working controlled workflow with a run ledger.
Built for teams that want AI leverage without blind automation.
FlowClaw gives operators a cockpit for AI-assisted work: what the agent tried, what it changed, what it needs approval for, and whether the workflow is ready to graduate from pilot to production.
What the pilot proves
Approval Inbox
High-risk agent actions stop for human review before they touch a customer, repo, invoice, or production system.
Agent Run Ledger
Every run has an owner, status, decision trail, output, retry history, and audit record your team can inspect later.
Policy + Risk Gates
Define what agents can do automatically, what needs approval, and what should be blocked before it creates damage.
SOP-to-Agent Builder
Start with one real operating procedure and turn it into a controlled AI workflow instead of a fragile prompt chain.
Human-in-the-Loop Control
Keep speed where AI is useful and judgment where humans are still required. No blind black-box automation.
Design Partner Pilot
Bring one workflow. We map the failure modes, approval points, run history, and first working AI-assisted version.
Good first pilot workflows
Start where AI can save time, but where a mistake still needs accountability.
From workflow risk to first controlled run
Map one SOP
Pick a repeatable workflow where AI would help, but mistakes would be expensive or embarrassing.
Add controls
We define approval gates, blocked actions, run states, evidence capture, and owner handoffs.
Pilot the agent workflow
You get a controlled prototype, run ledger, and decision on whether the workflow deserves production buildout.
Want to safely put one AI workflow to work?
Request the FlowClaw Agent Workflow Pilot. We will start with one workflow, one owner, and one measurable automation win.