Autonomy without accountability is a liability. The engineering is in the control points — where the agent stops and a human decides.
Autonomy with a human in the loop
The agent perceives, plans, and acts — but high-risk steps pause for human approval, and every action is traced and reversible.
Perceive
The agent reads state from your data sources and prior steps.
Plan
It selects the next action within explicitly scoped tool permissions.
Approve
High-risk steps pause for a human decision, with full context.
Act & trace
The action runs through a tested tool call and is logged for audit.
The loop repeats until the workflow completes — every step traced and reversible.
You choose how much autonomy to grant
Agents are deployed at the tier the workflow's risk justifies — never more.
Assisted
The agent proposes; a human executes every action.
- Drafts and recommendations
- Zero autonomous actions
- Best for high-stakes, low-volume work
Supervised
The agent acts, but each high-risk step waits for approval.
- Autonomous on low-risk steps
- Human gate on the rest
- Full decision trace per step
Gated-autonomous
The agent runs end-to-end within scoped tools; humans hold the exceptions.
- Runs whole workflows
- Exception + rollback gates
- Anomaly detection on behaviour
What scoped tool permissions actually look like
One example agent, its full tool scope. Everything it can do — and the line it cannot cross without a human.
A worked example of the permission boundary every agent ships with — enforced by which tools it can call, not just claimed.
The same scope, by the numbers
Of six tools available to this agent, most run unsupervised — one waits on a human, one is off-limits entirely.
Counted directly from the permission table above.
Built to be trusted in production
Governance is part of the delivery method, not a layer added after launch.
Humans hold the high-risk decisions
Approval gates sit at every step classified as high-risk — the agent proposes, a human disposes.
Every action is traceable
A complete decision trace is recorded for each agentic action, with rollback available.
Tools are explicitly scoped
Agents can only call the tools they are granted, eliminating unbounded autonomy.
What's built into every agentic system
4
Control points engineered into every agent — workflow map, tool scope, approval gates, decision trace
3
Autonomy tiers to choose from, matched to the workflow's actual risk
100%
Decision audit coverage across all agentic actions
The right engagement profile
Operations Leaders
Automating multi-step approval, intake, or review workflows without sacrificing accountability
Procurement & Finance Teams
Deploying AI agents for vendor communications, contract review, and invoice processing
Customer Operations
Building autonomous support agents with escalation logic and compliance guardrails
Where this service has the most impact
Questions buyers ask first
How much autonomy does the agent actually have?
Exactly as much as you grant. Steps are risk-classified, high-risk steps require human approval, and tool permissions are explicitly scoped.
What happens when the agent gets something wrong?
Anomaly detection and confidence thresholds route edge cases to humans, and every action has a decision trace with rollback.
Can it integrate with our existing systems?
Yes — agents act through tested tool integrations to your data sources and APIs, with state persisted for reliability.
Is the decision-making auditable?
Every agentic action is logged into a full audit trace, giving you 100% decision coverage for compliance.
Automate without losing accountability
Book a 40-minute discovery call to map a workflow and the control points it needs. No commitment.