Cross

Investment and adoption

Make an AI workflow usable in the way the team actually works

A launched AI tool goes unused while the team keeps working in spreadsheets and the old process.

Who this helps

COO, CEO, Department executive, Transformation leader

Discuss this work

The situation

A tool has launched, but the team still uses spreadsheets, side channels or the old process. Training attendance and sign-ins cannot explain why the work has not changed. People may distrust outputs, lack permissions or be accountable for corrections without time to review them. A tool can also make one step faster while adding cleanup further down the line.

What we build

We rebuild the workflow around how the work is really done, then test it with the people who do it.

  • We map the work from trigger to accepted outcome, using process and exception walkthroughs, authorized observations and staff feedback.
  • Redundant entry, unclear decisions and unowned exceptions are identified and removed or assigned.
  • We build and test a working version of the revised flow with realistic tasks, visible source evidence and a practical correction route. Comprehension and handoff are tested before training or wider rollout.
  • If the revised flow fails the task or overloads reviewers, it is revised before rollout. A manual path stays available, and support ownership is visible.
  • Observations use clear staff disclosure and limited recording. Adoption data measures the agreed workflow, not covert individual performance. The interface explains data access and support boundaries.

What you get

  • Workflow maps. The current flow and the revised flow, from trigger to accepted outcome, including exceptions.
  • Task-based usability findings. What worked and what failed on realistic tasks, with the limits of each test group stated.
  • A rollout plan. Rollout scope, ownership of feedback and support, and how the agreed workflow will be measured.

Where people stay in control

  • Team representatives confirm the map reflects the actual work.
  • Managers confirm who has the time and authority to review exceptions.
  • Staff can contest an AI suggestion and finish the task through an accepted fallback.

When another approach fits

Simplifying the existing process may remove the need for AI. A standard product may fit once the workflow and responsibilities are clearer.

Related work

Scope it with us

Bring the workflow, the data you can share and the decision it supports. We agree how the work will be evaluated before anything is built.

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