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Automate the work that needs judgment.

Workflow agents that read documents, make bounded decisions, call your systems and escalate the edge cases, all with a full audit trail.

Let's Build Together

One call with a senior engineer. A straight answer on what it would take.

Illustration: Agentic / hyperautomation workflows

Where you are. Where you’ll be.

You need this if

  • Teams copy data from emails and PDFs into systems all day
  • A process can't be automated because 'every case is different'
  • Backlogs grow every time volume spikes

What changes for your business

  • End-to-end automation of processes RPA couldn't touch
  • Humans review the hard 10%, not all 100%
  • Throughput that scales with volume, not headcount

What we hand over

  1. Process mining and automation opportunity map
  2. Agentic workflows with document understanding and decision logic
  3. Human-in-the-loop approval and escalation design
  4. Run-level metrics: accuracy, cycle time, cost per case

What it is

Agentic hyperautomation combines workflow automation with AI agents that can read emails and documents, interpret them and make bounded decisions. It reaches the work rules-based automation cannot: unstructured inputs and cases that need judgment, with people approving the steps where mistakes are costly.

The work left after RPA is the expensive part: emails that need interpreting, documents in a hundred formats, cases that need a decision. Agentic workflows combine process orchestration with AI that can read and reason, inside limits you set. We design the workflow, decide where humans approve, connect the systems, and measure every run on accuracy, time and cost.

Why now
60% of total RPA program cost can go to bot maintenance. Forrester
Last reviewed

How it runs

  1. 01

    Diagnose

    Typically 2–4 weeks

    We map the problem, your data and your systems, and agree the one number that defines success.

  2. 02

    Prove

    Typically 4–8 weeks

    A working pilot on your real data, measured against that number. Not a slide demo.

  3. 03

    Ship

    Scoped to the outcome

    Production build with security, monitoring, cost controls and documentation included, not upsold.

  4. 04

    Run

    Ongoing, optional

    We operate what we built against clear service levels, or train your team to. Your call. No lock-in.

Questions you’ll ask

What can agentic workflows automate that RPA can't?
Work that arrives unstructured: emails to interpret, documents in many formats, cases that need a judgment call. RPA follows fixed rules; agents read and reason, then hand clear-cut steps to deterministic automation.
How do you keep agents from making costly mistakes?
Each workflow has confidence thresholds, scoped permissions and human approval at the points where an error is expensive. Every run is logged, and accuracy is measured continuously against reviewed samples.
Our cases are all different. Can this still work?
That's usually what makes it a good fit. Most 'every case is different' processes have a large core of recurring patterns. Agents handle those and route the genuine exceptions to people with the context already gathered.

Sound familiar? Let’s fix it.

One call with a senior engineer. You’ll leave with a straight answer on what it would take.

Let's Build Together

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