Your AI pilot works. Scaling it to production doesn't.
You've proven the concept. Leadership is on board. But 12 months later, the prototype is still a prototype. easy.bi closes the gap between proof of concept and production - powered by ebiCore.
The challenge
Sound familiar?
of AI proof-of-concepts never reach wide-scale deployment.
Not because the AI didn't work - but because no one mapped the path from prototype to production.
Deloitte, 2025
Pilot Purgatory
Your PoC worked in a controlled environment. But connecting it to SAP, your data warehouse, and your compliance workflows is a different engineering problem entirely.
No Internal AI Team
Your developers are strong - but they don't have production AI deployment experience. Hiring AI engineers takes 6+ months. Your board doesn't want to wait.
Vendor Lock-in Fear
Cloud AI services promise easy integration. But once you're locked into one vendor's ecosystem, switching costs become prohibitive. You need a vendor-agnostic approach.
How easy.bi helps
Our approach
AI Impact Sprint
Identify your top 3 AI opportunities, build a working prototype, and deliver a board-ready business case - in 2 weeks.
AI →ebiCore Framework
Our proprietary framework accelerates AI implementation by 3×. Every prototype runs on the same architecture as the production system - no rewrites.
AI →Dedicated Engineering Team
Senior AI engineers embedded in your team. Scale from 1 to 6 FTE as the project grows. We stay until it's in production.
Custom Solutions →Results
Where we've solved this before.
Semor AI
Manufacturing & Engineering
NLP-powered document analysis - automated contradiction detection and natural-language search across thousands of engineering specs.
dgree.io
Online Learning
Recommendation engine analyzing user goals and behavior to build personalized learning paths. 3× more course completions.
Alebon
Retail & E-Commerce
Predictive ordering engine learning store patterns. 70% accuracy on auto-suggested orders, order time from 30 min to under 3.
FAQ
Frequently asked questions
We already have a working AI prototype. Can you take it to production?
Do you work with specific AI models or frameworks?
What if we don't have a prototype yet?
How do you handle data privacy and GDPR?
Ready to move from pilot to production?
Let's identify your highest-ROI AI opportunity and build a production-ready system.