An Inspire11 platform
Push to Prod
Where AI ambition becomes AI in production.
A centralized platform for building, deploying, and scaling AI applications — so intelligence doesn’t stall between pilot and production.
The Stakes
The problem isn’t capability. It’s architecture.
Organizations are pouring capital into AI — model licenses, GPU compute, data infrastructure, talent. Yet most of it stalls between proof-of-concept and production. Every team builds its own way. Every deployment is a one-off. Every new use case starts from scratch.
5% of AI pilots achieve rapid revenue acceleration
42% of companies abandoned most AI initiatives in 2025 (up from 17%)
46% of AI POCs scrapped before production (MIT NANDA / S&P Global, 2025)
Why Now
Three forces are closing the window.
Regulatory pressure
Governance mandates require visibility most orgs don’t have.
Competitive pressure
The gap between AI-native organizations and the rest is showing up in margins and speed to market.
Organizational pressure
CFOs and boards want ROI, not a portfolio of science projects.
The Diagnosis
Builds must compound, not fragment.
Today, every team re-solves the same problem. The org loses the second mile of every journey.
Portfolios must be visible, not invisible.
Leadership can’t see what’s being built, where it stands, or what it cost.
Production must be a path, not a gap.
The jump from pilot to prod takes skills and infrastructure most teams aren’t built for. So pilots pile up.
From scattered builds to a governed, compounding AI program.
Inspire11’s AI Production Hub is the centralized infrastructure layer that connects AI build, deployment, and scaling — giving organizations visibility, velocity, and value from their AI investments for the first time.
Build →
Shared components, templates, and governed frameworks. Every new use case inherits from the last.
Deploy →
Standardized pipelines and environment management. Pilot-to-production becomes a path, not a leap.
Scale →
Portfolio visibility, adoption tracking, ROI measurement. Value compounds across every use case.
How It Works
Outcomes that matter to the enterprise
100% production rate
Every AI product Inspire11 has built has shipped. Not demoed. In production.
14 months → 11 weeks
Pilot-to-production compression for a mid-size manufacturer. The second use case took 4.
Compounding ROI
Every new use case costs less than the last as shared infrastructure matures.
The Value Roadmap:
30 → 90 → 12
The Push to Prod rollout follows the Inspire11 rhythm.
Assess & Anchor.
Map the current AI portfolio. Identify the highest-value anchor use case. Establish baselines for velocity, cost, and adoption.
90 Days — Build & Deploy.
Stand up the platform. Ship the anchor use case end-to-end through governed infrastructure. Onboard the next 2–3.
12 Months — Scale & Institutionalize.
A living portfolio of every AI investment. 3–5 use cases in production. Cost-per-use-case trending down. Leadership answering the board’s ROI question with data.
Why Push to Prod, Why Inspire11
- We built it for ourselves first. Push to Prod is infrastructure Inspire11 hit walls with before any client did. Every layer exists because we built a way through.
- End-to-end, by design. Build, Deploy, and Scale only compound when connected. Solving one layer in isolation produces incremental gains. We built the full stack because that’s the only way the math works.
- Part of a system. Push to Prod sits alongside Prism, AI Data Core, TurboAQ, and the AI Control Tower — Inspire11’s accelerators for making intelligence operational.