
AI agents & tool integration
Give an agent a defined task, permitted information and limited tools, then test the agent's actions before production use.
Gateflow is based in Frankfurt and works on projects in the Frankfurt-Rhine-Main region and across Germany. Remote and on-site work are agreed for the project.
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You want an AI agent to complete useful work within the rules your business sets. Gateflow connects approved information and tools, defines the permitted actions and tests the result before production use. Your team decides which actions require approval and retains the ability to review the work.
Choose the right autonomy level
An assistant prepares information for a person. An agent with limited permissions may call approved tools and propose changes. Where the customer requires approval, the agent waits for that decision. Before an agent can act more independently, the task, permissions, test cases and way to undo changes must be agreed. The choice depends on the expected benefit and the possible consequences of a mistake.
What Gateflow delivers
- A task and autonomy boundary: assistant, reviewed agent or a higher-autonomy workflow.
- Connections to approved knowledge and named tools, with identity and permissions.
- Human approval points for consequential actions, plus traces, test cases and fallback.
- An owner for costs, monitoring and later changes.
Delivery and acceptance
Gateflow begins with one workflow and one or two tools. Tool protocols such as MCP are chosen where they fit the customer systems. Production use follows a controlled pilot.
Where this fits
For teams that can name the action an agent should perform and the person accountable for the result.
What Gateflow needs to begin
You define the task, the tools an agent may use, data access limits, approval authority and the cost ceiling. Gateflow needs representative successful cases and failures to test before production access is granted.
How Gateflow checks the result
Gateflow tests ordinary, ambiguous and adversarial inputs. The checks cover wrong-tool calls, permission limits, whether the agent waits for approval, whether action logs are complete, cost and the behavior when a tool or model is unavailable.
What the customer receives at handover
The person responsible for production operation receives the tool and permission inventory, test set, monitoring view, change procedure and instructions for safely disabling the agent.
Current scope
“Autonomous agents” describes a possible level of control, not a promise of unsupervised decisions.