AI for Financial Services
How I'd look at AI across an advisory, accounting, or bookkeeping firm: CRM, planning, tax, and client service. What helps, what's regulated, what to ask.
Across the stack
The systems a business like yours typically runs, and where AI fits in each. Platform names are common examples, not recommendations.
CRM and client service
Advisory firms run on a CRM that holds households, tasks, and notes. AI can draft follow-ups and summarize client history. Anything sent to clients still falls under your supervision and recordkeeping obligations.
Meetings and notes
AI meeting assistants that transcribe client meetings, draft notes, and create CRM tasks are one of the most practical uses for advisors right now. Recordings and notes are records, so retention and consent need a plan.
Planning and portfolio systems
Planning and portfolio platforms are adding AI to explain reports and summarize changes. Useful for preparing reviews, but the recommendations remain yours and must be suitable for the client.
Tax and accounting workflow
Accounting firms deal with a flood of client documents. AI-assisted document collection, extraction, and categorization can reduce data entry, with a person reviewing before anything is filed.
Bookkeeping and ledgers
Transaction categorization and reconciliation suggestions in accounting software have gotten better. They still need review, especially for unusual items and new clients.
Data, compliance, and policy
Financial firms are regulated on privacy, security, and records. An AI policy should cover approved tools, client data, and how AI-generated communications are reviewed and retained.
How I’d look at AI in a financial services firm
This page covers two related kinds of firm: financial advisors and wealth managers, and accounting, tax, and bookkeeping practices. Both run on client trust and sensitive data, and both have more regulation around records and privacy than most local businesses.
An advisory firm typically runs a CRM, a financial planning tool, a portfolio and reporting platform, custodian portals, an email archiving system, and a document vault. An accounting firm runs tax software, a practice management system for workflow and client portals, bookkeeping software, and a lot of email. In both, the bottlenecks are usually the same: meeting prep and follow-up, document collection, and data entry.
Start with what you already own
- Your CRM or practice management platform. Redtail, Wealthbox, TaxDome, Karbon, and others have been adding AI. It’s already inside systems your compliance review has covered.
- Your office suite. Microsoft 365 and Google Workspace both offer AI assistants under business terms. Check whether your archiving setup captures what they produce.
- Your accounting software. QuickBooks Online and Xero both offer AI-assisted categorization and reconciliation.
Where AI genuinely helps
- Meeting notes and follow-up. Transcribing client meetings, drafting the summary, and creating tasks in the CRM. This is where many advisors feel the difference first.
- Review prep. Summarizing what changed in a client’s accounts or plan since the last meeting.
- Document collection. Requesting, sorting, and extracting data from client-submitted documents during tax season.
- Drafting. Client letters, newsletters, engagement letters, and explanations of complex topics in plain language, reviewed before they go out.
- Categorization. First-pass coding of transactions for bookkeepers to review.
Where it’s overhyped or risky
- Advice from a chatbot. Anything that recommends products or strategies to clients raises suitability and fiduciary questions. AI can help you explain; it shouldn’t advise.
- Recordkeeping gaps. Messages drafted and sent through a tool your archive doesn’t capture are a real compliance problem. Regulators have fined firms heavily over off-channel communications.
- Marketing claims. AI-written marketing still has to follow the rules for advisor advertising. Have compliance review it.
- Client data in consumer tools. Account numbers, Social Security numbers, and tax returns do not belong in free AI accounts.
- Numbers you didn’t check. AI can misread statements and make arithmetic mistakes with confidence. Every figure going to a client or a return gets verified.
Questions to ask any vendor
- Do you sign agreements that restrict how our client data is used and retained, and is it ever used to train models?
- Does it integrate with our archiving system so communications are captured?
- Does it connect to our CRM or practice management system?
- What security certifications and audits can you show us?
- How are recordings and transcripts stored, and can we set retention?
- What’s included in our plan today, and what’s on the roadmap?
Where I’d start
For most firms: a written AI policy reviewed by whoever handles compliance, an approved business-grade assistant for staff, and one focused project. For advisors, that’s usually meeting notes and follow-up. For accounting firms, it’s usually document collection before tax season. Prove it works inside your compliance requirements, then expand.
Common questions
Can advisors use AI for client communications? +
Yes, with the same supervision and recordkeeping you apply to any client communication. Drafts should be reviewed, and anything sent needs to be captured by your archiving system. If you're SEC- or FINRA-registered, loop in your compliance officer or CCO before rolling anything out.
Are AI meeting note tools allowed? +
Many firms use them. Check your state's recording consent rules, tell clients you're recording, make sure the vendor meets your security requirements, and decide how transcripts and summaries are retained. Your compliance team or consultant should sign off.
Can tax preparers put client returns into AI tools? +
Be careful. Tax preparers are subject to rules on using and disclosing tax return information, including Section 7216 of the Internal Revenue Code, and the FTC Safeguards Rule requires a written information security program. Use tools with appropriate contractual protections and understand how data is handled before any return data goes in.
Will AI replace bookkeepers? +
It's automating more of the data entry and categorization. Judgment about unusual transactions, client relationships, and advice is still the job. Firms are more likely to shift what bookkeepers spend time on than eliminate the role.
What does my existing software already include? +
CRMs, planning tools, practice management platforms, and accounting software have all been adding AI. Features vary by plan and are sometimes paid add-ons. That's the first thing I check, because it's already inside systems your compliance team has reviewed.
Want a straight answer for your business?
Tell me a little about how your business runs and what it runs on. I'll put together an agenda for our first conversation.