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AI Use Cases

Useful AI starts with a clear task.

Explore illustrative approaches to everyday business workflows. Each example defines the work, the system boundaries, and where a person stays involved.

Illustrative examples


Example Workflows

Internal knowledge assistant

Help a team find answers across approved documentation, policies, and project notes.

LLM APPLICATIONRETRIEVAL
The task
Retrieve relevant passages, draft an answer, and show the sources used.
System boundaries
Respect source permissions, flag missing evidence, and avoid presenting a guess as an established answer.
Human review
A subject expert reviews sensitive interpretations and maintains the source material.

Document intake and review

Turn incoming documents into structured information that an existing business process can use.

AI AUTOMATIONSTRUCTURED DATA
The task
Extract requested fields, validate the format, and route exceptions to a review queue.
System boundaries
Keep the original document alongside extracted values and stop when required information is missing.
Human review
A reviewer confirms ambiguous fields before records are committed or downstream actions run.

Operations copilot

Give operators a single place to gather context and prepare routine updates across connected tools.

AI AGENTSTOOL INTEGRATION
The task
Read approved systems, summarize the current situation, and prepare a proposed next action.
System boundaries
Limit tool access to the agreed workflow and check inputs before any permitted action.
Human review
A person approves changes that affect customers, money, access, or other consequential decisions.

Customer support triage

Help a support team sort requests and draft responses from approved product information.

LLM APPLICATIONHUMAN REVIEW
The task
Classify a request, surface relevant help content, and draft a response for an agent.
System boundaries
Escalate uncertain or sensitive requests and preserve the conversation context.
Human review
Support staff review responses and handle account changes or commitments.

Evaluation

Make the acceptance criteria explicit.

Task quality

Test representative requests, difficult examples, and expected outputs against agreed acceptance criteria.

Grounded answers

Check whether retrieved evidence supports the response and whether missing information is handled clearly.

Controlled actions

Verify permissions, tool inputs, approval steps, and recovery when a dependency fails.

Operating visibility

Review failure cases, latency, usage costs, and escalation paths before expanding the workflow.


From use case to system requirements.

Turn a defined business task into an architecture with clear data boundaries, evaluation criteria, and operating responsibilities.

Explore Our Approach