Reluvate

AI Strategy & Deployment

You've been exploring AI for two years and shipped nothing.

You bought a platform, hired a data team, ran some pilots. Nothing is in production generating real ROI. Leadership is asking uncomfortable questions.

AI strategy

The Pattern We See

  1. 1Company buys a platform (Azure AI, AWS Bedrock, or similar)
  2. 2Internal team experiments for 6 months
  3. 3Team builds a chatbot or a summarizer
  4. 4CEO asks what the $500K was spent on
  5. 5Nobody has a good answer

The problem is starting with the technology instead of the business function. We start with: which of your business functions has the highest ratio of human cost to decision complexity? That's where AI creates real value.

How It Works

Phase 1 · 3 weeks

Value Mapping

We interview function leads. Map all business functions against AI feasibility. Rank by ROI. Build one proof-of-concept. Present to leadership with a concrete plan and dollar figures.

Phase 2 · 3-6 months

Build & Ship

Take the top-ranked deployment from POC to production. Full integration, testing, change management. A working system, not a prototype.

Phase 3 · Ongoing

Scale

Extend to remaining high-value deployments. Continuous improvement. Knowledge transfer to internal team.

We've been shipping production AI since 2020 — for financial regulators, multinational banks, government ministries, and national retailers. Not prototypes. Working systems.