Workflow Automation Mission
Redesign and automate high-friction workflows using AI, software and operating logic.
Why this exists
Automation that bolts AI onto a broken workflow just moves the bottleneck. We redesign the workflow first — decisions, exceptions, ownership — and then build the system that runs it. The order is the difference.
of forecast AI spend in 2026 — most of it landing on top of workflows nobody redesigned. Gartner · 2026
What you get
01
Workflow redesign
End-to-end map of the current state, exceptions and decision points — and the new shape required before software.
02
Production system
AI, automation and operating logic built and deployed against the redesign. Not a pilot.
03
Transfer pack
Documentation, runbooks, monitoring and an owner-training plan so the system runs without us.
How it runs
- Weeks 1–3
Redesign
Workflow mapping · exception catalogue · target-state design · economic model.
- Weeks 4–10
Build
Iterative system build · integration · in-flight measurement against baseline.
- Weeks 11–12
Transfer
Owner training · run-rate handover · monitoring · post-launch review.
In practice
“We expected an automation. We got a workflow that finally made sense — and then an automation worth running.”
When to run this
Yes — when
- →You’ve chosen the mission and need it shipped to production.
- →The workflow has clear ownership and an executive sponsor.
- →There’s a baseline — and an appetite to be measured against it.
No — when
- →You’re still choosing between candidates — run a Value Sprint first.
- →You need a generic SaaS automation. We build custom systems.
What comes next
Once two or more missions are live, the Decision Cockpit becomes the natural next step — connecting them into a single operating view.