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Proof

Results, not adjectives.

How Ayati turns messy data into decisions that move a number — told through the work.

Pilot examples with illustrative figures, shown to demonstrate how we frame results. We’ll replace these with named, client-approved case studies as pilots complete.
Enterprise · Decision Intelligence

B2B SaaS · pricing

Challenge. A B2B software team was setting renewal pricing on contested numbers — finance, sales and product each brought a different figure to every review.

What we did. Ran AMI™ and PRISM™ over the same data, reconciled the conflict, and delivered one confidence-scored answer with the assumptions made explicit.

Result. The pricing decision was settled in one meeting instead of three, and the agreed change added 4.2% gross margin over the following two quarters.

+4.2% margin
Healthcare · Research

Academic health · research

Challenge. A clinical research group needed a defensible study design and analysis for a 240-patient cohort that would stand up to peer review.

What we did. Designed the study with AURORA™, ran the analysis in MedStat Guide™, and produced an audit-ready methodology and results package.

Result. The study passed review with minor revisions, and the reproducible pipeline cut analysis time from roughly 6 weeks to 2.

6→2 weeks
Operations · Metrics

Consumer app · analytics

Challenge. An operations team had 40+ dashboards but decisions weren’t changing — three teams reported "active users" three different ways and nobody trusted the numbers.

What we did. Ran a metric audit, defined a single source of truth with KEYSTONE™, and closed the loop from dashboard to action.

Result. Trust in reporting was restored and 30-day retention improved 6.8 points once the team acted on one agreed number.

+6.8pt retention

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