Map the real workflow
Include normal handling, exceptions, ownership, information and the systems involved.
Add governed intelligence
AI agents and assisted workflows
An AI agent is not simply a chatbot. It is a software participant that can interpret context, use approved tools and coordinate steps within a defined operating responsibility.
Discuss this opportunityRecognisable operating signals
Where this work often begins.
- 01Knowledge work requires repeated interpretation and triage
- 02Teams spend time assembling context before acting
- 03AI experiments sit outside real workflows
- 04Access, escalation and accountability are unclear
- 05Important decisions cannot be audited
- 06People do not trust the output enough to use it
Potential improvement
What a better operating design can include.
- Defined agent responsibilities and limits
- Permission-aware access to approved information
- Tool use through controlled integrations
- Human approval for consequential decisions
- Escalation when evidence is weak or exceptions occur
- Observable activity and reviewable outputs
ILLUSTRATIVE EXAMPLE
A practical operating pattern
An internal service agent can gather a request, retrieve approved context, prepare a recommended action and route it to the responsible person rather than acting beyond its authority.
Test the opportunity
Compare value, evidence, feasibility, risk and adoption before selecting the technology.
Build the operating change
Include controls, exception handling, ownership and measures rather than delivering an isolated technical feature.
AI agents and assisted workflows
Start with one representative workflow and establish whether the improvement is worth pursuing.
Start with a Spark Discovery—a focused conversation about where work is getting stuck and whether a structured assessment would be valuable.
Book a Spark Discovery