Autonomous and semi-autonomous agents that execute multi-step workflows across your systems - with the guardrails to keep them accountable.
An AI agent goes beyond answering a question - it plans and executes a sequence of actions across your systems toward a goal, checking in for approval where the stakes require it.
Advatech builds agentic systems with explicit guardrails: defined permissions, human approval gates for high-stakes actions, and full audit trails - so autonomy doesn't come at the cost of accountability.
Agents that plan and execute sequences of actions toward a defined goal, not single-turn responses.
Agents wired into your actual systems - APIs, databases, internal tools - to take real action.
Explicit limits on what an agent can do autonomously versus what requires human approval.
Approval gates for high-stakes or irreversible actions, keeping a human accountable in the loop.
Full logging of every agent action and decision, for accountability and debugging.
Coordinated systems of specialized agents handling different parts of a complex workflow.
The multi-step process is mapped end-to-end, including every system it touches.
Permissions and approval gates defined for every action the agent can take.
Agent built and tested against real scenarios, including edge cases and failure modes.
Rolled out with full audit logging and ongoing monitoring of agent decisions.
Explicit guardrails define what an agent can do autonomously, and high-stakes or irreversible actions require human approval before execution.
No - RPA follows fixed scripted steps; AI agents reason about the task and adapt their approach, while still operating within defined guardrails.
Yes - every action and decision is logged in a full audit trail, so agent behavior is reviewable after the fact.