Triage
Triage incoming requests or tickets and propose routing.
Home / AI Solutions / AI Agents with Human Approval
AI agentsAgents that do the preparation. People who make the call.
An AI agent can gather information from several systems, draft the response and propose the next action. We build agents that stop and ask a named person before anything changes.
Good first agents
Scheduling
Prepare dispatch or scheduling suggestions.
Replies
Draft supplier or customer replies with live order status.
Reconciliation
Find mismatches between two systems and propose the correction.
Reporting
Assemble the weekly report for a person to review.
Approval levels
Autonomy is earned per task, based on review results, not set on day one.
| Level | What the agent does | When it fits |
|---|---|---|
| Level 1: Suggest | Proposes, a person acts | Every new agent starts here |
| Level 2: Act after approval | Acts once a named person approves | After review shows suggestions are reliable |
| Level 3: Act on narrow rules | Acts alone on defined low-risk cases, with sampled review | Only for cases with a clear record of accuracy |
Guardrails
Agreed with you during scoping.
- Service accounts with only the permissions the task needs
- Limits on value and volume per action
- A trace of every run
- An off switch your team controls
- A short weekly review that retires or merges rules
Shadow run first
Each agent first runs beside the current process for an agreed period. We record every override and the reason, because those reasons usually point to gaps in data, not just in the agent.
Questions
What stops an agent from making a costly mistake?
Each agent starts by suggesting actions for a person to approve. Limits, logs, a shadow run and an off switch keep the work reviewable before any narrow autonomy is considered.
Can it work with our ticketing system or ERP?
Agents can work with the systems in your workflow when access and integration boundaries are agreed during scoping.