AI use cases by business area

01

Customer service

What comes in again and again stops taking the people who should be on the difficult cases.

The team answers the same questions by email, chat, and phone. The right answer lives in a manual, in an email from months ago, or in the head of the person who has been there longest. Meanwhile, the case that actually needs judgment waits.

What can be built

• An assistant loaded with the company's documents, tone, and rules, to draft the first reply.
• A sort of what comes in: the repeated items get an answer or a suggestion, and the sensitive ones go to a person with the context already assembled.
• Ready prompts for the replies people currently write from scratch.

02

Sales

Following up a lead and drafting a proposal no longer wait for someone to have a free afternoon.

A prospect writes, the details stay in one person's inbox, and the proposal is built by copying the last one. What gets lost is not a tool. It is the day someone needed an answer.

What can be built

• A follow-up that prepares the next message from the prospect's history and the company's offer.
• A first draft of a proposal from a template, the client's details, and what was already discussed.
• A summary of the call or the email, so the rest of the team can pick it up without asking what was said.

03

Finance

Someone stops reading the whole batch. They review the exceptions.

Invoices, receipts, and spreadsheets are matched by hand across email, the bank, and the accounting system. The error doesn't show up in the total. It shows up in the line someone copied wrong on a Friday.

What can be built

• Invoice and receipt reading that pulls vendor, amount, date, and tax into a format the system already accepts.
• A reconciliation that flags what doesn't match and lets the rest through.
• A check for what's missing: incomplete documents, or vendors that don't match the master list.

04

Human resources

A first reading of candidates, and clear answers to what employees ask every week.

Resumes are read one by one against a job description that lives in a document. At the same time, employees ask about leave, policy, and benefits, and the answer depends on who is free.

What can be built

• A first reading that compares candidates with the criteria for the role and leaves a note. It does not make the decision.
• Answers to the internal questions that come up often, using the current policy, and a clear path for anything a machine should not answer.
• Drafts of job descriptions and messages to candidates, in the company's voice.

05

Operations

The report someone assembles by hand comes from the sources, not from a fresh spreadsheet.

The numbers live in email, in a sheet, in the inventory system, and in a supplier's message. One person pulls them together before the meeting. If that person is out, the report doesn't exist.

What can be built

• A report that takes those sources and leaves them in the format the meeting already uses.
• Alerts when a figure didn't arrive, or when a number sits outside the usual range.
• A short guide so someone else on the team can change a source or a column without starting over.

06

Management

A usable summary of meetings, documents, and indicators, before the next decision.

The decision waits while someone reads the thread, the notes, and three dashboards. What matters is mixed in with what was already decided last week.

What can be built

• A meeting summary with decisions, owners, and what was left open.
• A reading of long documents — contracts, reports, policies — aimed at the questions management has already been asking.
• A short brief on the indicators: what moved, what didn't arrive, and what deserves a conversation, without replacing the dashboard.