Automation that adapts, not automation that breaks the moment something changes.
Agentic Process Automation uses AI agents to run a business workflow end to end — not just the repetitive parts a traditional tool could already handle, but the parts that need judgment: reading a document that doesn't quite match the template, deciding which exception goes to a human and which doesn't.
Who this is for
Built for the process someone already owns — and is tired of babysitting
Operations leaders
Owning a workflow that's still done by hand, one exception at a time.
Finance leaders
Running automation that breaks every time a document doesn't match the template.
HR leaders
Reprogramming rules every quarter just to keep last year's automation working.
Support leaders
Watching requests that don't fit the usual categories land back on a person anyway.
If you've used rule-based automation before and hit its limits, this is what comes next. If you haven't, think of it as a colleague who handles the routine work and knows when to ask for help.
The problem, plainly
A script only works until reality stops following it
Older automation tools follow a script. The moment reality doesn't match it — an invoice in a slightly different format, a support request that doesn't fit the usual categories — a human has to step in.
That's not really automation. It's automation with a lot of manual patching behind the scenes. Agentic Process Automation is built to handle that variation itself, and only hand off to a person when it genuinely should.
- Rule-based
- Hits an invoice in a slightly different format. Halts. Waits for someone to notice and fix it.
- Rule-based
- Support request doesn't match a known category. Falls through to a person by default.
- Agentic
- Reads the document that doesn't quite match the template, and keeps going.
- Agentic
- Decides which exception genuinely needs a person — and routes only that one.
How an engagement actually runs
Same four steps as everything we do
This consistency is deliberate, not a formality.
- 01
Assess
A plain-language view of your current process, with an honest answer: custom agent, configured automation platform, or a mix.
- 02
Pilot
One real workflow, run by an agent end to end, measured against how it works today.
- 03
Implement & Deploy
The wider rollout, milestone by milestone, each one signed off before we move to the next.
- 04
Operate
Ongoing monitoring so the agent keeps making good decisions after launch, not just in the demo.
Proof, not promises
Running todayOur own AI-assisted testing platform runs on this
Agents run Maestro-orchestrated tests across tester-attached devices and emulators, adjusting the test flow in a loop as issues turn up — without a person driving each step.
It's running today, not a prototype we're describing from memory.
Zopflix AI
Not sure if your process needs a rebuild, or just a smarter automation layer on top of what you already have?
A two-week Readiness Assessment gives you a straight answer either way.