Generative AI is most valuable where people spend time reading, writing, searching and summarising — which is true in every industry. Here are practical, proven-pattern use cases by sector, followed by a simple way to choose where to start.
Banking and financial services
- Relationship-manager assistants that summarise client history and draft meeting notes.
- Policy and procedure Q&A for operations and compliance teams.
- Drafting suspicious-activity narratives and credit memos for analyst review.
Insurance
- Claims intake: extracting details from emails, forms and photos, and flagging missing information.
- Underwriting assistants that summarise submissions and highlight risks.
- Customer communications drafted in plain language for agent approval.
Healthcare
- Summarising referral letters and administrative documents for staff review.
- Prior-authorisation preparation and payer-policy Q&A.
- Patient-communication drafts reviewed by clinicians. Clinical use requires careful validation, privacy controls and regulatory review.
Retail and e-commerce
- Product descriptions and attributes generated from supplier data and images.
- Conversational shopping assistants grounded in the live catalogue.
- Review and feedback analysis to spot quality issues and trends.
Manufacturing
- Maintenance assistants grounded in manuals and past work orders.
- Quality-report summarisation and root-cause investigation support.
- Supplier document review for specifications and compliance.
Logistics and transportation
- Extracting data from bills of lading, invoices and customs documents.
- Customer-service agents that answer “where is my shipment?” from live tracking data.
- Exception summaries for planners and dispatchers.
Telecom
- Agent-assist that suggests answers and next steps during customer calls.
- Network-incident summarisation and runbook guidance for engineers.
- Plan and offer explanations tailored to the customer’s usage.
Government and public sector
- Citizen-service assistants grounded in official guidance.
- Case-file summarisation for caseworkers.
- Drafting responses to correspondence for staff approval.
How to prioritise
Score each candidate on four questions: How often does the task happen? How much time does it take today? Is the information needed available and of good quality? What is the cost of a mistake? Start with frequent, time-consuming tasks where good data exists and a human reviews the output. Those deliver value quickly and build the skills and trust needed for higher-stakes uses.
See our industry pages or talk to our Generative AI team about a use-case workshop.
Frequently asked questions
What is the best first generative AI use case?
A frequent, time-consuming task where good source information exists and a person reviews the output — for example internal knowledge Q&A, document summarisation or drafting responses.
Is generative AI safe for regulated industries?
It can be used responsibly with the right controls: grounding in approved sources, human review, privacy and security controls, audit trails and compliance review for the specific use case.
How do you measure the value of a generative AI use case?
Compare against a baseline: time per task, throughput, quality or error rates, customer or employee satisfaction, and the cost of running the solution.