003 — AI Readiness

Get your system ready for real AI

We prepare your system for real AI capabilities — restructuring data, simplifying architecture, and enabling the workflows needed to integrate AI into production.

When you need it

You need this when

01

AI pilots keep stalling in production

Your architecture and data model can't support real AI deployment at scale.

02

Data is scattered across too many systems

Inconsistent data structures and siloed systems make AI integration impractical.

03

AI initiatives generate demos, not products

You have AI prototypes but can't turn them into production features.

04

Integration costs keep growing

Each AI feature requires expensive custom integration work.

05

Compliance is blocking AI adoption

Data governance and security concerns prevent AI deployment in regulated environments.

What you get

What you get

AI Readiness Assessment

A complete view of what's blocking AI adoption — architecture, data, compliance, and tooling gaps.

Data Architecture

A restructured data layer that supports consistent, governed AI data access across services.

AI Integration Plan

A phased plan for integrating AI capabilities into production — from infrastructure to feature rollout.

Model Pipeline

A production-ready pipeline for AI model deployment, monitoring, and iteration.

Process

How it works

Step 01

Assess

We evaluate your current architecture, data model, and AI readiness across 40+ dimensions.

Step 02

Redesign

We design the target data architecture and system changes needed for AI production readiness.

Step 03

Implement

We implement the changes in phases, validating AI capabilities at each milestone.

Step 04

Enable

We hand off a production-ready AI-enabled system with documentation and runbooks.

TESTIMONIALS

Results speak for themselves

80+

We've modernized over 80 systems and products, helping teams move faster and making them ready for the next era of technology.

Floris
Wesley
Team member

Talk directly to one of our leaders about your challenge

Schedule a free brainstorm

Our platform was becoming harder to scale and slower to evolve. Eli5 reworked the core architecture and gave us a system that's faster, more stable, and ready for what's next.

Eric Kickert

Eric Kickert

CEO, Peecho

CEO, Peecho

Founder, A-Insights

Our system was holding back internal operations and product development. Eli5 modernized the foundation, simplifying complexity and enabling us to move faster with far less friction.

Bart Zirschky

Bart Zirschky

Founder, A-Insights

We started with a system that wouldn't support where we wanted to go. Eli5 rebuilt it at the core, giving us a scalable foundation that makes building and evolving the product significantly easier.

Niek Delis

Niek Delis

CEO, Typejust

CEO, Typejust

Let's talk about your system

Tell us what you're working with and we'll help you figure out where to start.

hello@restacked.io

Common questions, clearly answered.

Still have questions about modernizing your system? Talk to one of our leaders directly.

Contact us
  • No. In most cases we can make targeted changes to data architecture and integration layers without rebuilding everything.

  • We work with all major providers — OpenAI, Anthropic, Google Gemini, and open-source models — and help you choose based on your requirements.

  • Initial readiness for a focused use case takes 6–12 weeks. Full platform AI-enablement depends on system complexity.