AI agent development for multi-step workflows
An AI agent plans, calls your tools and finishes multi-step tasks end to end — answering support tickets, researching, executing workflows. We build agents with guardrails and a human in the loop wherever the decision matters, so they earn trust instead of burning it.
The gap between a demo agent and a production agent is everything around the model: tool permissions, error handling, evaluation, audit trails and a clear answer to "what happens when it is wrong". We build for that part from day one.
Our agents read context, choose the next action and chain steps to a goal — on your CRM, databases, email and internal systems. Two independent LLM reviewers can check every draft before it goes out, autopilot and assisted modes are selectable per case, and every action leaves a trace your team can audit.
What is included
Tool and API orchestration
Agents that call your systems through MCP or custom integrations — governed, permissioned, logged.
Human approval steps
Autopilot where it is safe, assisted mode where the decision matters. Your team stays in control.
Guardrails and reviewers
Independent LLM review of outputs, policy checks, and clear escalation paths when confidence is low.
A trace for every action
Every retrieval, decision and action is logged and traceable — audit-ready by design.
Evaluated before release
An evaluation harness scores every change against real cases before the agent ships.
How we work
- 1
Pick the workflow
One process with clear rules and measurable outcomes. We start where automation pays for itself fastest.
- 2
Build the loop
Tools, prompts, guardrails and the operator UI — with assisted mode so your team can supervise from day one.
- 3
Prove and expand
Evaluation on real cases, sign-off against workflow acceptance criteria, then extend to the next workflow.
Frequently asked questions
What can AI agents do for my company?
Agents take over multi-step processes that follow rules: first-level support, research and summarisation, data entry across systems, report preparation, ticket routing. Dataotter builds agents for companies across Germany and the EU, in German and English.
What if the agent does something wrong?
It is designed for that case: assisted mode with human approval for consequential actions, guardrails and policy checks, independent reviewers on outputs, and a full trace for every action so errors are found and fixed, not hidden.
How do agents connect to our systems?
Through MCP servers or custom integrations with the user's own permissions, so your existing access control applies unchanged — plus rate limits, timeouts and an audit log.