USE CASES
A useful use case does not stop at “use AI”. It defines the input, owners, systems, automatable or assisted steps, human decisions, metrics and limits.
OPERATIONAL PATTERNS
These are reusable educational patterns across industries. Actual scope depends on each organization’s integrations, data, policies, permissions and exceptions.
It works best when the problem requires more than an answer: identify the right resource, inspect states, coordinate actions and preserve context through closure.
AI can help structure documents and coordinate validation; critical calculations and rules should be deterministic where possible, while posting or payment authority is configured separately.
The strongest initial gain is usually in research, preparation, CRM and reply classification; sending, frequency and negotiation should remain subject to market and company policies.
AI can detect, classify and coordinate many exceptions; amount changes, compensation or substitutions outside policy should remain under rules or human approval.
AI can structure and coordinate much of the process, but availability, price and confirmation must come from authoritative engines or suppliers, with consequential exceptions escalated.
AI can classify, extract and prepare updates; low-confidence data, sensitive documents and consequential commitments should follow review and authority rules.
DESIGN CRITERIA
The event, request, document or signal that starts the process.
We separate automatable steps, assisted work and decisions that remain under human responsibility.
Metrics are compared with a real baseline; examples are not guaranteed outcomes.
APPLY IT TO YOUR PROCESS
Use the Process Analyzer to map the before and after, or the Team Builder to identify an initial composition.
