Stride engineers pair with your team to align AI spend with business outcomes. Every token visible, defensible, and tied to the value it creates.
Stride implements model routing and tiering so affordable models handle routine tasks and premium models handle complexity. Typical result: 40 to 60% cost reduction on routed surfaces with no measurable quality loss.
Stride built a model-switching AI agent for 73V that automates SMS-based patient inquiries. Confidence-based routing directs 85 to 87% of queries to high-speed models while escalating complex clinical cases to human clinicians. $360K in documented annual savings.
Stride instruments per-feature token attribution and establishes cost-per-outcome metrics inside the first two weeks, so your team sees what value each surface produces relative to its cost, turned into a prioritized backlog.
✓
Cost-per-outcome visibility at the level of your current business reporting, within the first two weeks.
✓
Validated cost reduction on optimized surfaces: savings you can quantify and defend.
✓
Unit economics for AI features, plus eval and routing in production so your team can keep testing cheaper configurations after we leave.
✓
Two Principal AI Engineers embed with your team for the engagement, in your standups and codebase daily, while a Stride Partner checks in weekly to keep priorities aligned with engineering leadership.
✓
Duration starts at 8 to 12 weeks depending on the surfaces in scope. Cadence is a weekly priorities review and fortnightly written progress updates with quantified impact.
Stride engineers embedded with our team and built a working AI agent in weeks, not months. The system is in production handling thousands of patient interactions, and it paid for itself within 90 days.