Discover
Understand the workflow, evidence, people and operational constraints.
A shared workflow map and evidence inventory.
How we work
Karnelo AI Workflow Discovery is a ten-working-day engagement for one UK service workflow. Each engagement keeps scope, source information, permissions, review points, exceptions and stop conditions visible.
The live engagement
People, information and process come before a bounded agent. Human-reviewed output keeps sources and exceptions visible. Method: Discover, Design, Test, Decide.
A bounded path forward
Each stage of Karnelo AI Workflow Discovery creates evidence for the next decision. Continuing to a build is never the automatic answer.
Understand the workflow, evidence, people and operational constraints.
Choose the smallest sensible intervention and define its boundaries.
Run a bounded pilot and record quality, effort, exceptions and review.
Use the evidence to pilot, pause or stop.
What each stage produces
Understand the workflow, evidence, people and operational constraints.
A shared workflow map and evidence inventory.
Choose the smallest sensible intervention and define its boundaries.
A bounded intervention with owners, review points and stopping rules.
Run a bounded pilot and record quality, effort, exceptions and review.
Observed results, reviewer feedback, exceptions and delivery effort.
Use the evidence to pilot, pause or stop.
A documented choice to pilot, pause or stop.
Human review is part of the design
Practical AI needs more than a capable model. It needs clear information, permissions, review points and a safe route for exceptions.
Keep approved information and supporting sources connected to the work.
Define which information and tools can be used, by whom and for what purpose.
Route uncertain, incomplete or unusual cases to an accountable person.
Know when the system should pause, hand over or not proceed.
One workflow at a time
Bring one workflow, the people involved and the evidence required. Start with a focused conversation.