Financial services prospect intelligence platform
Turning scattered client and CRM data into a ranked "do this next" for a large relationship-management team.
A financial services firm with a large sales team responsible for managing relationships, surfacing client opportunities, and deciding who to call first.
The problem
Hundreds of bankers and relationship managers, and no two of them working the same way. Outreach was all over the place, and there was no shared system for deciding which clients or prospects deserved attention first.
The data was there. Turning it into a clear "do this next" was the part nobody had cracked.
What we explored
We worked out what an AI-powered prospect intelligence system could realistically look like — something that took scattered client and prospect data and turned it into actual decisions a banker could act on.
Instead of asking people to dig through spreadsheets, CRM notes, and activity history, the system would put the best opportunities up front and explain why they were worth the call.
The solution
An AI sales intelligence platform that could:
- 01Rank clients and prospects by opportunity level
- 02Suggest the likely next-best action
- 03Draft outreach talking points
- 04Summarize recent relationship history
- 05Surface dormant but high-value accounts
- 06Give managers something to coach against
- 07Bring some consistency to how the whole team operated
Impact
The point was to lift sales productivity, sharpen prioritization, and get relationship managers spending more of their time on the accounts that actually mattered.
Why this matters
Plenty of financial services teams already sit on all the data they need. The bottleneck is turning it into clear moves the people on the front line can actually make.