Solutions Gallery — Model Citizen

The Data Concierge, Deployed

A governed semantic model, curated and AI-ready, standing behind every ITSM report a global hospitality enterprise runs — plus an agent that doesn't just answer a metric question, it explains why the number is what it is.

governed model

duplicated metric logic

AI-ready

and human-readable

Read the full case study →

Deep dive

Decision IntelligenceSaaS

From Ticket Queue to a Tool 200 People Open Daily

See how a semantic layer and a small set of certified metrics turned analytics from an endless request queue into self-serve — tripling weekly active dashboard use along the way.

3× adoption

Deep dive

ML & ForecastingDTC Retail

The Forecast That Cut Stockouts 61%

See how a pragmatic demand model — monitored and retrained on a weekly schedule — kept shelves stocked without ballooning inventory.

−61% stockouts

Deep dive

Decision IntelligenceIT Service Management

Retiring the Last-Click MTTR Trap

MTTR blames whichever team closes the ticket for time that was never theirs. See how a framework borrowed from marketing attribution separates who solved it from where the time actually went — so teams find drag instead of arguing about blame.

Friction, not blame

Deep dive

Decision IntelligenceData Services

The Health Score Nobody Had Built Before

A data services team had a steady client base and a purely reactive support model — no view of which accounts were quietly at risk, or ready for an upsell. See how a health-scoring model, built from scratch and wired into their existing systems, gave them both for the first time.

+31% upsell

Deep dive

Platform AuditEdTech

The 90-Day Reliability Turnaround

See how data contracts, freshness SLAs, and real on-call runbooks took pipeline incidents from a weekly occurrence to a rare, well-handled exception.

99.5% on-time

Deep dive

Data StorytellingGlobal Enterprise

One View of Demand Instead of Three

Three dashboards, three definitions of demand, three different answers to the same question. See how one blended signal — unifying sales, support, and web demand across dozens of markets — became the number leadership actually trusts.

68% faster reads

Deep dive

ML & ForecastingHigher Education

Why Students Didn't Come Back — And What Actually Brought Them Back

A higher-education program had falling re-enrollment and attrition high enough to threaten its own viability. See how profiling dropouts across financial aid, the registrar, and the learning platform surfaced real patterns — and turned a generic "welcome back" push into a plan built around each student's actual situation.

3 systems, 1 view

Have data that should be doing more?

Tell me about the pipeline that breaks, the metric nobody trusts, or the analysis stuck in a notebook. Let's operationalize it.

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