Suitable when
- Work that needs context from several approved sources
- Tasks with clear permissions and defined hand-off points
- Outputs that can be checked by an accountable person
After discovery
AI Agents
A possible outcome after Karnelo AI Workflow Discovery, not a standalone product. Task-focused agents can support context-sensitive work when information, tools, permissions and review points are explicit.
A possible outcome after discovery
Where AI Agents may fit.
A possible outcome after discovery: context-sensitive support for bounded tasks using approved information and tools within explicit limits.
Important boundaries
- Human review remains part of the workflow
- Access is limited to approved information and tools
- Exceptions and uncertain outputs need a safe stopping route
Human review is part of the design
Make boundaries visible before the workflow runs.
Practical AI needs more than a capable model. It needs clear information, permissions, review points and a safe route for exceptions.
Source evidence
Keep approved information and supporting sources connected to the work.
Permissions
Define which information and tools can be used, by whom and for what purpose.
Exceptions
Route uncertain, incomplete or unusual cases to an accountable person.
Stop conditions
Know when the system should pause, hand over or not proceed.
Start with one workflow
Explore whether AI agents fit the work.
A focused discovery conversation can clarify the task, evidence, exceptions and review requirements before any build decision.