Solventis doubled its assessment capacity without hiring
We built an AI assessment engine that reads financial documents and sorts transactions, so advisors review one clear summary instead of a pile of paperwork.
- of financial review work automated
- ~50%
- of financial review work automated
- clients assessed with the same team
- 2×
- clients assessed with the same team
- new hires needed
- 0
- new hires needed
Before and after
Before
With Blinko
Before: Advisors read every statement and sorted transactions by hand
After: AI reads the documents and sorts every transaction
Before: The team's hours capped how many clients they could help
After: Twice as many clients, with the same team
Before: Slow answers, and viable cases could be missed
After: Clients get answers faster
Every hardship assessment meant reading statements, checking credit history, and valuing assets by hand. The team's hours set a hard limit on how many clients they could help.
An assessment engine that gathers each client's financial data automatically, reads the documents, and sorts every transaction. Solventis's own rules then score the case, and the advisor reviews one clear summary.
- AI document reading
- AI transaction sorting
- Secure data connections
- Eligibility scoring

How an assessment runs
AI handles 2 of 5 steps. People make the final call.
- 1Automation
Gather
Bank, property, and asset data arrives automatically through secure connections.
- 2AI (LLM)
Read
AI reads bank statements, credit reports, and asset documents and pulls out the numbers.
- 3AI (LLM)
Sort
AI sorts every transaction into income, spending, and warning signs.
- 4Scoring
Score
Solventis's own rules rate eligibility and suggest negotiation options.
- 5Your team
Decide
An advisor reviews one clear assessment and agrees the plan with the client.
The bottom line
Solventis automated nearly half of its financial review work and now assesses twice as many clients with the same team. Advisors spend their time on client strategy instead of paperwork.

Next case study
Real estate
AI matching built to save a Sydney real estate agency an estimated 2,400 hours a year
Want results like these?
In a 30-minute call we look at the process you want to fix and tell you honestly what it would take.
