AI Agent Governance
Your AI agent can call any tool it wants. Or only the ones you let it.
Unmeshed runs AI agents inside a governed workflow, not a black box. Every agent is bound to a fixed set of tools, every dollar of spend is tracked against a ceiling, and every decision it makes is logged. Nothing routes outside the workflow you defined.
Trusted by teams at leading organisations
The Real Question
Does this step need a model's judgment, or a rule that runs the same way every time?
Most agent workflows lose control at the same point: a step that should have been a rule gets routed through the model instead. That's where token spend gets out of hand fast, and where behavior stops being predictable.
Request Intake
One entry point, not five different scripts
Every request, whatever the source, comes in through a single workflow trigger. That's where the case ID gets assigned and the run history starts, before an agent ever gets involved.
- RULE
Validate the request and assign a stable case ID
- RULE
Log the request before any model call happens
- RULE
Route based on request type
Request Intake Path
Request in
webhook / API
Validate Fields
# intake_validate
Assign Case ID
# case.create
Rejected
# reject_request
Run history starts
Human Review Path
Review routing
decision table
Auto-approved
low risk
Reviewer
# human_review_wait
Resume
# finalize_and_log
Human Review
The agent drafts. A rule decides who sees it next.
A decision table checks the agent's output against confidence, cost, or category thresholds. Routine, low-risk outputs go straight through. Anything else waits for a person, with the agent's full reasoning and tool calls attached, not just the final answer.
- RULE
Route based on confidence and risk thresholds
- HUMAN
Review flagged drafts with full context, not a blank screen
- RULE
Resume exactly where the workflow paused once reviewed
Spend Governance
A ceiling the agent can't spend past
Per-agent monthly spend ceilings run alongside the agent, not after the invoice arrives. When an agent nears its cap, Unmeshed can throttle it or automatically downgrade it to a cheaper model, so the workflow keeps running instead of failing outright.
- RULE
Check spend against the per-agent ceiling
- RULE
Auto-throttle or downgrade model tier near the cap
- RULE
Attach every run to a cost, not just an outcome
Spend Check Path
Spend check
# check_spend_ceiling
Full tier
within budget
Throttle
near the cap
Auto-downgrade
near the cap
Continue to agent
cost attached to every run
Agent Dispatch Path
bound tool boundary
Internal search
bound tool
Knowledge base
bound tool
Agent
# agent_dispatch
Tool call logged
everything else: blocked
Agent Dispatch
The agent can only reach what you bind to it
This is the part most agent frameworks don't do well. Unmeshed's agent step is explicitly scoped to a fixed tool set at definition time. If a tool isn't bound, the agent can't call it, not because of a prompt instruction, because the runtime won't let it.
- AI
Agent researches and reasons using only its bound tools
- RULE
Tool access is enforced by the runtime, not the prompt
- RULE
Every tool call is logged as it happens
Every step in an Unmeshed workflow declares what it is: code, model, human, or decision, so the runtime knows what to charge for, what to retry, and what to audit.
This is what makes agent spend and agent behavior something you can actually govern, not just monitor after the fact.
MCP native
Speaks standard tool protocols out of the box
Model agnostic
Not locked to one provider
1,000 / mo
Agent calls included on the free tier
Connects to Your Stack
Works with the agent stack you already write code in.
Inside the Workflow
Four pieces, one workflow.
Bound tool access
An agent can only call what's explicitly bound to it. Enforced by the runtime, not a prompt instruction.
Per-agent spend ceilings
Throttle or downgrade automatically before spend becomes a surprise.
Full run history
Every model call, tool call, and cost logged automatically. One place to read, not logs scattered across five systems.
Decision tables
The rules an agent shouldn't have to re-derive every run, encoded once and editable without a redeploy.
Answers to the Question Finance Asks Eventually
Spend visibility and access control, not a surprise invoice.
Spend visibility
Per-agent cost tracked against a ceiling, not discovered on an invoice.
Tool scoping
Agents reach only what they're bound to, nothing else.
Audit logging
Every action, every case, timestamped and searchable.
Model flexibility
Swap providers without re-architecting the workflow.
Frequently asked questions
Still have questions? Talk to us.
Put a ceiling on what your agents can do and spend.
We'll map your current agent workflow, show you where spend and access controls are missing, and have it running inside Unmeshed in weeks.
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