Workflow and tool design
Tasks, tools, APIs, permissions, prompts and escalation points mapped into a controlled operating model.
AI agents development
Build autonomous AI agents for real business workflows.
ROTZ.AI designs agentic systems with tool use, API integration, human approval, recovery paths, observability and governance.
Autonomous agents · multi-agent workflows · tool use · human-in-the-loop
Human approval where risk matters
Observable actions and audit trails
Built around your APIs and operating rules
AI agents development
Agents need architecture, not just prompts
AI agents can plan, execute and coordinate work, but only when they are constrained by clear tools, permissions, evaluation and recovery paths. Uncontrolled agents create risk; engineered agents create leverage.
ROTZ.AI builds autonomous agents for operational workflows such as document processing, customer operations, logistics coordination, compliance review, internal research and back-office automation.
We design each agent around the business process: what it may do, which tools it can call, when it must ask a human, how success is measured and how failures are recovered.
Agent system components
Agent orchestration
Single-agent or multi-agent flows with state, memory, retries, validation and event-driven triggers.
Human-in-the-loop control
Approval queues, confidence thresholds, exception handling and audit trails for sensitive actions.
Evaluation and monitoring
Quality checks, test sets, action logs, cost tracking and drift monitoring for ongoing reliability.
How we build agents safely
01
Choose the right workflow
We select processes where agent autonomy is valuable and manageable.
02
Define controls
We define permissions, approvals, fallbacks and observability before release.
03
Build and evaluate
We test against real cases, edge cases and failure modes before expanding autonomy.
04
Scale autonomy
We increase agent responsibility only where performance data supports it.
AI agent questions
Can agents connect to our internal systems?
Yes. Agents can use APIs, databases, workflow tools, document systems and approval queues through controlled tool interfaces.
How do you prevent risky autonomous actions?
We use scoped permissions, human approvals, validation, audit logs and explicit recovery paths.
Do agents replace workflow automation?
No. Agents work best as part of a wider automation architecture where deterministic steps and AI reasoning are combined.