Agentic workflow automation with human checkpoints where judgement matters
Multi-step processes across departments, orchestrated by agents, with human checkpoints where judgment matters.
Typical balance
30 human : 70 AI
AI-run, reviewed. Varies by engagement.
Your people keep deciding how the process should work, approvals at the checkpoints and choosing what to improve next.
AI takes on orchestrating several agents and tools, handling handoffs between systems and flagging anomalies.
What is agentic workflow automation?
Agentic workflow automation uses several AI agents working together to run a multi-step business process across departments and systems, with human checkpoints placed where a decision needs judgment. It goes further than traditional automation because agents can handle variation that fixed rules cannot.
Also known as AI workflow automation, intelligent process automation, multi-agent orchestration and AI business process automation
Who needs agentic workflow automation?
Companies whose processes cross several systems and teams and slow down at every handoff, such as order-to-cash, onboarding or claims.
A good fit when: work crosses four systems and three teams, and stalls at every handoff.
How agentic workflow automation works
Redesign
We redesign the process first, because automating a broken process only makes it break faster.
Orchestrate
Agents are assigned stages of the process and coordinated so work moves between them without waiting.
Checkpoints
People approve at the points where money, customers or risk are involved.
Measure
Cycle time, error rate and handoffs are tracked so you can see the change.
What you get
- Redesigned process map
- Multi-agent orchestration
- Checkpoint and approval design
- Performance reporting
How long does agentic workflow automation take?
Typically six to twelve weeks, depending on the number of systems involved.
Common questions about agentic workflow automation
How is agentic automation different from RPA?
RPA follows fixed scripts and breaks when a screen or format changes. Agents can read unstructured input, handle exceptions and adapt, so they suit processes with real variation.
Which business processes are best to automate with AI?
High-volume processes with clear goals, many routine cases and a smaller number of exceptions. Processes that depend mainly on relationships or judgment are better assisted than automated.
Do we have to replace our existing systems?
No. Agents work across the systems you already have, through their APIs or connectors.
