Predictive health scoring for a Series C SaaS platform
Replacing a colour-coded spreadsheet with a usage-, sentiment-, and outcome-based health model — so CSMs could intervene 30+ days earlier with the right play.
The engagements below are illustrative scenarios drawn from common challenges in Customer Success, AI transformation, RevOps, and operational excellence. As verified client stories become available, they'll be published here.
Replacing a colour-coded spreadsheet with a usage-, sentiment-, and outcome-based health model — so CSMs could intervene 30+ days earlier with the right play.
Re-architecting pipeline data, stage definitions, and inspection rituals to bring forecast accuracy within 5% three quarters running.
Cutting document review cycles by 70% using an LLM-assisted intake and triage system — with human-in-the-loop controls satisfying second-line risk.
Building a portfolio-level roadmap, governance model, and enablement program that moved AI from scattered experimentation to operational use.
Equipping a B2B sales organisation with research copilots that compressed pre-call prep from 45 minutes to under 10 — with measurable lift in conversion.
Mapping the end-to-end patient lifecycle, redesigning the highest-friction handoffs, and instrumenting experience metrics that finally moved together.
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