Meertec

Meertec  ·  Hold Period  ·  AI & Data

Data and AI capability built for adoption, not slideware.

Design and stand-up of production data and AI capability: Data Mesh, governance and commercial data products, built to scale across the hold period and into exit.

What's Delivered

From strategy to production

AI and data strategies that translate into production capability, not deck-ware. Each engagement is sized to the value creation plan and the commercial outcomes the deal thesis requires.

Data Mesh & Architecture

Design and stand-up of Data Mesh, Lakehouse architectures and streaming platforms — built for adoption by product teams, not just the data function.

AI & GenAI Operating Models

From proof-of-concept to production: MLOps, AI governance, RAG/GraphRAG patterns and Agentic AI frameworks that scale across the portfolio and into the next investment cycle.

Data Governance & Products

Commercial data products, governance frameworks and quality disciplines that turn data from a cost centre into a value driver — built for adoption, not compliance theatre.

How It Works

Six months to production

A typical engagement moves from discovery to production data products within six months, with governance and operating model embedded alongside — not bolted on after.

  • Duration: 3–12 months, depending on scope and organisational readiness
  • Cadence: 2–4 days per week, on-site or hybrid
  • Deliverables: Data/AI strategy, operating model, production platform, governance framework
  • Outcome: Production data and AI capability that scales across the hold period

Get In Touch

Ready to build data and AI capability?