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Browse practical starting points by department and industry. Every example includes data, effort, review and risks.
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Customer serviceEffort S
A shared inbox mixes routine requests with urgent exceptions.
- Data needed
- Redacted messages, categories, approved response examples and retention rules.
- Potential impact
- Reduce sorting and first-draft effort; measure total handling and correction time.
- Time to value
- 2–4 week planning window after access approval
- Example technologies
- Microsoft Graph, Power Automate, an approved enterprise LLM
- Risks & review
- Prompt injection in inbound messages; incorrect promises; personal data. Never auto-send in the first pilot.
Explore the guide →MarketingEffort S
Marketing rewrites similar descriptions from product specifications.
- Data needed
- Product information, approved claims, style rules and examples.
- Potential impact
- Less first-draft effort; measure review time and unsupported claims.
- Time to value
- 1–3 week planning window
- Example technologies
- PIM export, structured prompting, enterprise LLM
- Risks & review
- Invented specifications, copyright and misleading claims. Never infer product properties from similar products.
Explore the guide →HREffort S
New staff ask repeated administrative questions across many documents.
- Data needed
- Current non-sensitive policies, role access and named policy owners.
- Potential impact
- Reduce repeated administrative explanations; check answer usefulness with new staff.
- Time to value
- 2–4 week planning window
- Example technologies
- Approved intranet search, RAG, HR knowledge base
- Risks & review
- Access to personnel or health records, outdated terms and employment decisions. Keep those datasets and decisions outside scope.
Explore the guide →ITEffort M
Staff repeatedly search scattered procedures and ask the same experts.
- Data needed
- Current documents, owners, expiry dates and document-level permissions.
- Potential impact
- Quicker access to approved information; measure answer support and unsuccessful searches.
- Time to value
- 4–8 week planning window
- Example technologies
- Search index, embeddings, enterprise model, document connectors
- Risks & review
- Cross-user data leakage, obsolete instructions and malicious document content. Test access boundaries and source quality.
Explore the guide →OperationsEffort S
Actions and decisions are lost in notes and follow-up emails.
- Data needed
- Approved notes or an appropriately authorised transcript; meeting and deletion policy.
- Potential impact
- Reduce note preparation; check missed actions and corrections.
- Time to value
- 1–3 week planning window
- Example technologies
- Approved M365 meeting features, transcription, enterprise LLM
- Risks & review
- Recording and personal-data risks; invented decisions. No recording without a reviewed policy and clear participant information.
Explore the guide →ITEffort S
Support spends time routing repeated issues and requesting missing context.
- Data needed
- Redacted tickets, routing categories, runbooks and severity policy.
- Potential impact
- Less routing effort; measure misroutes and time to an appropriate human response.
- Time to value
- 2–4 week planning window
- Example technologies
- Helpdesk API, classification, approved knowledge search
- Risks & review
- Secrets in tickets, malicious instructions and under-prioritised incidents. Redact credentials and preserve incident escalation.
Explore the guide →SalesEffort S
Teams assemble similar proposals from scattered previous documents.
- Data needed
- Approved catalogue, templates, pricing source and sanitised examples.
- Potential impact
- Less assembly time; measure revisions and completeness rather than claiming sales uplift.
- Time to value
- 2–4 week planning window
- Example technologies
- Document templates, CRM integration, enterprise LLM
- Risks & review
- Wrong prices, fabricated experience and disclosure of other clients’ terms. Keep commercial approval with the salesperson.
Explore the guide →FinanceEffort M
Staff retype invoice fields and reconcile inconsistent supplier layouts.
- Data needed
- Representative invoices, target schema, supplier master data and validation rules.
- Potential impact
- Less manual entry; measure field accuracy and exception review time.
- Time to value
- 4–6 week planning window
- Example technologies
- Azure AI Document Intelligence, OCR, ERP API
- Risks & review
- Incorrect amounts and bank details; duplicate invoices. Deterministic checks and finance approval are mandatory design controls.
Explore the guide →OperationsEffort M
Weekly reporting combines repetitive commentary with spreadsheet checks.
- Data needed
- Validated extracts, metric definitions, reporting calendar and access rules.
- Potential impact
- Reduce formatting and commentary preparation; measure total reporting time and corrections.
- Time to value
- 3–6 week planning window
- Example technologies
- SQL, Power BI, spreadsheet checks, controlled LLM generation
- Risks & review
- False causal explanations and mismatched periods. Do arithmetic outside the language model and approve conclusions.
Explore the guide →Customer serviceEffort M
Repeated questions slow down the team and delay basic information.
- Data needed
- Public FAQs, current terms, support routes and escalation rules.
- Potential impact
- Handle repeated questions consistently; measure correct resolution and handoff, not just conversation count.
- Time to value
- 3–6 week planning window
- Example technologies
- Helpdesk platform, approved search, constrained LLM workflow
- Risks & review
- Invented policies, personal data and prompt injection. Exclude account changes, refunds and sensitive decisions from an initial assistant.
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