BUSINESS ML SOLUTIONS

Decisions, scored and ranked — not just dashboards.

A dashboard tells you what happened. A score tells a team who to call, who to flag, who to chase first. We build the second kind.

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Renewal risk — ranked Q2
1 Account #4471 High
2 Account #2208 High
3 Account #3390 Medium
4 Account #1187 Low
Synced to CRM — ready for outreach

What's involved

Five problems we're set up to solve, and build out from, on the business side.

01

Credit risk scoring, including thin-file borrowers

Score both new applicants with limited credit history and existing borrowers for early signs of distress, using alternative data where a traditional bureau file falls short.

02

Churn, retention and renewal propensity

Rank customers by likelihood to leave or not renew, with enough lead time for a retention team to actually act on the list.

03

Sales prioritisation and forecasting

Score leads and accounts by propensity to close, and feed the ranking directly into the CRM a sales team already works from.

04

Demand and revenue forecasting

Forecast demand or revenue at the granularity planning actually needs — by SKU, branch or segment — instead of a single top-line number.

05

Model governance and monitoring

Threshold history, drift checks and a registry for every model we ship, so "why did it flag this" always has an answer.

A dashboard alone
Shows what already happened
Someone still has to decide who to act on
No sense of what's likely to happen next
A score, ranked and routed
Predicts what's likely to happen next
Ranks who needs attention first
Lands in the tool the team already uses

Have a decision worth modeling?

Discuss a project