AI Pilot Recovery
95% of AI pilots never reach production. We ship the other 5%.
AI pilot purgatory is the state where enterprise AI initiatives deliver impressive demos but never reach production. MIT research shows 95% of GenAI pilots fail to deliver measurable ROI. The gap between “works in a demo” and “works in production” is where most consulting firms leave you. We start there.
Audit My AI ProjectThe pilot purgatory numbers
95%
fail to deliver ROI
MIT 2025
88%
never reach production
IDC 2025
42%
scrapped entirely
S&P Global
$2.3M
average cost per failure
Industry avg
If you've spent money on AI and have nothing in production to show for it, you're in the majority.
Why AI projects really fail (it's not the technology)
Companies that succeed spend 10% on algorithms, 20% on infrastructure, and 70% on change management. Most do the opposite.
Wrong problem selected
#1 causeThe $2M chatbot that should have been a $15K scheduling agent. Companies start with what's impressive, not what's impactful.
Data isn't ready
63% unready63% of organizations lack AI-ready data infrastructure. The model works on clean demo data, but production data is messy, incomplete, and scattered across systems.
Built for the demo, not for production
88% stuck88% of AI projects never leave the pilot phase. No error handling, no monitoring, no integration with real workflows. Impressive demo, useless in practice.
Vendor delivered strategy, not software
The slide deck problemYou hired a consulting firm. They delivered a 100-slide deck and a roadmap. Six months later, nothing is in production.
No change management
70% is people70% of AI project success is people and process, not technology. The best agent in the world fails if nobody uses it.
For the full data breakdown: Why 95% of AI Projects Fail →
Signs you're stuck in pilot purgatory
“Your AI vendor delivered a demo 6 months ago and you're still 'evaluating'”
“You have 3 POCs running and zero in production”
“Your team built something cool but nobody outside engineering uses it”
“The board keeps asking about AI ROI and nobody has an answer”
“You've spent $500K+ on AI and can't point to one workflow that's actually automated”
“Your 'AI strategy' lives in a slide deck that hasn't changed in 6 months”
If 2+ of these sound familiar, your AI initiative needs intervention, not more strategy.
How we get projects to production
We don't redo your strategy. We ship your first working agent.
Week 1
Audit what you have
What's salvageable and what's not. We look at code, data, integrations, and team readiness. Honest assessment, no sugarcoating.
Week 2-3
Scope a production path
Real milestones, not a roadmap. We pick the one workflow with the clearest path to production and define exactly what 'done' looks like.
Week 4-8
Build, integrate, ship
Build with real data. Test with real users. Deploy to production with monitoring, error handling, and team training. You ship, not evaluate.
Frequently asked questions
Why do 95% of AI projects fail?
The primary reasons are wrong problem selection, unready data infrastructure, building for demos instead of production, vendors delivering strategy instead of software, and neglecting change management. Technology is rarely the bottleneck. It accounts for only 10% of project success.
How do I get my AI project from pilot to production?
Start by auditing what's salvageable. Pick one specific workflow with clear ROI. Build with production-grade error handling, monitoring, and integration from day one. Ship to real users within weeks, not months. Iterate based on actual usage, not theoretical frameworks.
How much does it cost to rescue a failed AI project?
Our Automation Build service runs $15,000-$25,000 over 4-8 weeks. That includes auditing your existing work, scoping a production path, building, integrating, and deploying. Given that the average failed AI initiative costs $2.3M, the recovery investment is relatively small.
How long does it take to move an AI pilot to production?
With focused effort, 4-8 weeks. The key is narrowing scope to one specific workflow rather than trying to productionize everything at once. We ship one working agent, prove ROI, then expand from there.
Should I start over or fix my existing AI project?
That depends on what you have. Sometimes the underlying model and data pipeline are sound but the integration and UX need work. Sometimes it's faster to start fresh with a narrow scope. We assess honestly during the audit phase and recommend the faster path.
What's the difference between a consulting firm and a build partner?
A consulting firm delivers a strategy document. A build partner delivers working software. We write code alongside your team, deploy to production, and don't leave until the agent is handling real volume. No slide decks, no roadmaps. Shipped agents.
Get your AI project unstuck.
We audit what you have, scope a production path, and ship in 4-8 weeks. $15K-$25K.