Current friction
Where work stalls, duplicates, waits, or loses context.
Use Case
Internal Handovers redesigned for people, systems, and AI.
Internal handovers are where AI can preserve context, but only after the transfer rules are clear.
What We Assess
Decision owner
Who can decide, approve, escalate, or stop the work.
Transfer output
The map, rules, and notes the team can use after the scan.
The Pattern
Internal Handovers has repeatable patterns.
The same context gets rebuilt every time work crosses a team boundary. We design the transfer so AI can prepare context and people can confirm what matters.
Before
After
Trigger Handoff Decision
What Changes
Visible work
Recurring steps and exceptions become clear enough to improve.
AI boundaries
Decisions sit at the right point, and AI stops where judgment is needed.
Reusable handoff
Context moves with the work instead of being rebuilt each time.
Transfer notes
The team gets the logic and ownership model.
Redesign Surface
Breaks todayRedesigned patternOutput
Internal Handovers
Teams pass work forward, then answer the same context questions again later.
Handoff criteria, context, decisions, AI-prepared summaries, and confirmation points travel together.
A transfer package with entry criteria, context fields, AI-summary rules, and confirmation points.
BeforeFragmented inputs and unclear owners.
Work moves by memory, meetings, and side-channel context.
Each cycle rebuilds the same explanation.
AfterRecurring steps, decisions, and exceptions are visible.
The right actor owns the right part of the flow.
The team receives rules and notes for the next cycle.
Operational Rule
Make the recurring work
visible first.
A workflow is not ready for AI until decisions, exceptions, ownership, and stop conditions are visible.
Scan this workflow.
Bring this workflow as the first surface. We will map the current state and define where AI can safely help.
Book a workflow scan