Wealth & Investment ServicesQuick start
Client portfolio reports and review-meeting notes
- The problem
- Preparing periodic reports and meeting follow-ups for many clients takes time that could go to conversations.
- How AI helps
- AI turns portfolio data into plain-language reports, prepares meeting agendas from the previous notes and drafts follow-up emails for the adviser to edit.
- Start with
- Portfolio data export, language model, email drafts.
- Guardrails
- Stay within the registration scope of the firm, avoid automated personal recommendations and keep client data secure.
Full details
Example in practice
Before an annual review the adviser receives a plain-language report of portfolio changes and a draft agenda from the last meeting notes, then edits and sends the follow-up email.
How it works
- Export portfolio and transaction data.
- Generate a standard report with explanations of changes.
- Draft meeting agenda and follow-up notes.
- The adviser edits and approves, staying within the firm regulatory scope.
Data you need
Portfolio statements, client profile and previous meeting notes.
Measure success
- Time per client report
- Clients reviewed on schedule
- Edits per report
- Client feedback
Indicative rollout
Days 1-3: pick one process and collect 20-30 real samples. Week 1: test with an approved AI assistant and compare with the manual result. Week 2: write the checklist and review step, then use it on live work. Timing is indicative and depends on your data and systems.
Data handling
Use approved tools only, keep personal and confidential data protected as required by law (for example the Digital Personal Data Protection Act, 2023 in India), and keep a person responsible for every decision that affects people.