Use CasesAI applications
AI Assistants & Agents
Answer questions, gather context, and carry out approved tasks with clear boundaries.
Illustrative scenario
Help customers get answers and move work forward.
An example of a possible engagement. The workflow and measures do not represent achieved client results.
A team repeatedly answers the same questions about its services. Customers wait for basic information, while more involved requests arrive without enough context.
The work in practice
From friction to a useful change.
Current friction
- Ask a routine questionAvailability, preparation, or service details
- Wait for a replyStaff repeat answers from memory
- Repeat the contextA complex request changes hands
AI assistant / fictional service business
Two levels of capability
Start with answers.
Add actions where useful.
A conversational assistant can answer questions from approved information. An agent can also choose and carry out permitted steps using connected tools, within agreed limits.
Prepare a service request.
- Ask for missing details.
- Retrieve the relevant service information.
- Prepare a request in the approved system.
- Ask for confirmation before submission.
Staff retain approval over pricing exceptions, commitments, and other consequential actions.
People stay part of the process
Where judgment matters.
Staff approve source material, system access, and permitted actions. We test unreliable answers and attempts to redirect the system, set usage limits, and provide a handoff to a person. Changes or commitments outside the agreed scope require human approval. See the safeguards built into the work.
Agree a baseline and success criteria before introducing the change.