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AI and automation

Workflow automation

Make routine work move reliably between people and systems without manual re-entry, inbox chasing, or dependence on one person's memory.

Good-fit situations

  • The same information is entered into several systems.
  • Work stalls because ownership of the next step is unclear.
  • A spreadsheet has become load-bearing.
  • A recurring report consumes hours of manual preparation.
  • Customers or staff discover failures before the system owner does.

What you receive

  • A map of the current workflow and its failure points
  • A proposed future workflow with decision rules and ownership
  • Integrations, notifications, and exception handling
  • Testing against normal and failure scenarios
  • Documentation, access, and a maintenance plan

Process

How the work proceeds

  1. Map the real process

    We document what people do today, including the workarounds. The gap between the procedure and the practice is usually where the problem lives.

  2. Choose the right boundaries

    Judgment calls remain with people. Repeatable handoffs become candidates for automation.

  3. Build and test

    The workflow is tested for normal cases, exceptions, and failures — not only the path that works.

  4. Hand it over

    The people responsible receive access, documentation, and clear ownership.

Selected example

Production order sequencing

Situation.
An additive-manufacturing operation decided what to run next based on whoever was nearest the machine, which made throughput depend on who was on shift.
Work.
Built an automated queue that prioritizes and sequences incoming orders against agreed rules.
Result.
The production floor now has a consistent next-job decision.

Related

The rest of the practice

Explore the full AI and automation practice

Start with the specifics.

Describe the task, the systems involved, and who is responsible for it today. That is enough for a first conversation.

Request a workflow assessment