Finance and fintech companies run long enterprise cycles, handle sensitive customer data, and often need outbound and marketing messages reviewed before they go out. AI makes all three harder to control. Revenue Systems Group builds revenue systems for fintech and financial services companies, then adds AI workflows with the review and recordkeeping your compliance team expects.
This is operational guidance, not legal advice. Your counsel makes the compliance calls.
The short version: We design your CRM for long, multi-stakeholder cycles, keep sensitive financial data out of tools that should not hold it, and build AI and outbound workflows with approval steps and records, so speed does not come at the expense of compliance.
How Finance & Fintech Companies Sell
| Challenge | What it looks like | What the system has to do |
|---|---|---|
| Long enterprise cycles | Risk, legal, procurement, and security reviews before signature. | Make each review a visible stage with an owner and a clock. |
| Sensitive data | Account details and financial information appear in notes, emails, and attachments. | Define what the CRM may hold and enforce it with permissions. |
| Reviewed communications | Some messages need compliance approval before sending. | Build approval steps into sequences and campaigns. |
| Partner channels | Banks, platforms, and resellers bring deals in. | Track partner-sourced pipeline and attribution separately. |
What We Build for Finance & Fintech Companies
- Revenue Systems: CRM architecture, review-aware pipeline stages, partner attribution, permissions, and forecasting for long enterprise cycles.
- AI & GTM Engineering: Enrichment, intent signals, and AI-assisted outbound with approval steps where your compliance team requires them.
- AI Governance: An AI inventory, data access rules, and records of what AI generated and who approved it.
- Outbound Infrastructure: Sending domains, DNS, warmup, and deliverability, with authentication that protects your brand from spoofing.
AI Governance for Finance
Financial firms face rules on customer data and communications that AI tools can easily break. Depending on what you are, laws and rules such as the Gramm-Leach-Bliley Act for customer financial information, FINRA's rules on communications with the public for broker-dealers, and the SEC marketing rule for investment advisers may apply. We keep sensitive data out of AI tools not approved for it, add human approval to AI-drafted messages where your rules require it, and keep a record of what was generated, approved, and sent.
Integrations Finance Teams Use
Finance and fintech teams often run HubSpot alongside Salesforce, with 6sense for account intent, Clay or Apollo for prospecting, and collaboration tools like Microsoft Teams and Microsoft 365.
Signs Your Finance Revenue System Needs Work
- Compliance reviews outbound messages by email, with no record.
- Sensitive financial details show up in CRM notes and attachments.
- Partner-sourced deals are not separated from direct pipeline.
- Security and legal reviews stall deals with no visibility.
- AI tools draft messages nobody approves before they send.
- Your sending domains have no DMARC policy.
What an Engagement Looks Like
We start with discovery: your systems, data, review steps, and where AI could help or create risk. Then we design the target state, build and document it, train your team, and stay on a monthly retainer to run and improve it as your products and rules change.
Frequently Asked Questions
- Can AI write our outbound if our messages need compliance review?
- Yes, with an approval step. We build AI drafting into sequences and campaigns so a reviewer approves messages before they send, and keep a record of what was approved.
- What financial data should go in our CRM?
- Only what your teams need to sell and serve customers. Account numbers and similar details usually do not belong there. Your counsel decides, and we enforce the rules with permissions and form design.
- Do you work with fintech companies or traditional financial firms?
- Mostly fintech and financial software companies, plus financial services firms with a B2B sales motion. Fintech companies fit both our software and finance work.
- How do you track partner-sourced deals?
- With a partner object or properties, attribution rules agreed with finance, and reporting that separates partner-sourced from direct pipeline.