Understand
Identify intent, urgency, language, entities, and missing information.
Claire turns a customer or staff request into a governed workflow. She understands the need, retrieves permitted context, coordinates the systems involved, applies configured rules, and either completes the next action or brings in the right person.
A chatbot can answer a question and stop. Claire maintains state across the work that follows, including system lookups, scheduling rules, document requirements, approvals, exceptions, and follow-up.
Identify intent, urgency, language, entities, and missing information.
Request only the authorized data needed for this workflow and person.
Call the configured systems and AI workers in the required sequence.
Apply business policy, permissions, thresholds, and exception logic.
Complete permitted actions or hand the case to a human with context.
Deployment begins by defining what the workflow may access, which actions it may take, and which conditions require a person.
The practical first deployment is not “add AI everywhere.” It is a bounded workflow with enough repetition to matter and clear enough rules to operate safely.
Document the request, systems, decision points, failure modes, service levels, and human owners.
Connect permitted tools, define rules and escalation, test normal paths and exceptions, and establish acceptance criteria.
Launch with observability, review outcomes and handoffs, and expand responsibility only when evidence supports it.
We will map what Claire can own, which systems are involved, and where humans remain in control.