Agent workflows and process redesign
Connect knowledge, AI-assisted tasks and human decisions in a workflow your team will actually use.
Why it matters
An agent that produces good drafts in a demo and bad outcomes in production usually has the same problem: the workflow around it was never designed. Who checks what, when, and with which evidence are design decisions, not afterthoughts.
Who this is for
Operations teams with repeated knowledge work, document-heavy tasks or fragmented hand-offs between people and systems.
What we do
- Define tasks, evidence sources, exception paths and the points that need human approval.
- Configure a scoped AKE application and the integrations required for the agreed workflow.
- Evaluate the system on representative cases, including difficult and incomplete inputs.
What you receive
- Workflow specification and an agreed responsibility model.
- Tested prototype or implementation within the contracted scope.
- Evaluation results, operating instructions and an exception-handling plan.
How it runs
Design
Design the workflow and define success with its users.
Build
Build and test a limited version using authorised information.
Review
Review results, refine the controls and decide whether to extend into production.
Who you will work with
A forward deployed engineer builds the workflow inside your environment with a solution engineer configuring AKE; your process owner reviews each increment and decides the approval points.
An example
A professional-services firm redesigned matter intake so the agent assembles facts, checks conflicts and proposes a scope, while a partner approves before anything reaches the client. Rework fell because every proposal arrived with its sources attached. (Illustrative example.)
Questions
Can an agent take action automatically?
How do we judge quality?
Start with one workflow.
Tell us the process, the people who run it and what you would like to change. We will suggest the right first conversation, with no obligation.