Accelerators

From a focused sprint to a full transformation

Structured accelerators sized to the challenge — from a focused four-day Design Sprint to a full-scale AI transformation that reshapes how your organization operates.

AI Transformation

Ready to move past AI experiments and reshape how your organization actually works? AI Transformation is a full-scale accelerator that takes you from scattered pilots to durable capability — the use cases, the platform, the governance, and the people to run it. We start where the value is and build outward, so momentum compounds instead of fading after the first demo.

Most AI efforts stall in the gap between a promising prototype and production reality. We close that gap deliberately: identifying high-value use cases, building the data pipelines and MLOps tooling to support them, shipping the AI applications your teams and customers actually use, and putting the guardrails in place so adoption is safe, measurable, and yours. This is a partnership measured in quarters, not weeks, and it's built to leave your teams more capable than we found them.

Is an AI Transformation right for you?

A full accelerator is the right step when AI is a strategic priority — not a side project — and the organization is ready to change how it works, not just add a tool.

AI Transformation is the right method when you want to:

  • Move from one-off pilots to a repeatable delivery capability
  • Build the data pipelines and platform AI depends on
  • Put governance, security, and measurement in place from the start
  • Upskill your teams so the capability stays in-house
  • Tie AI investment to outcomes leadership can see

A simple gut-check: if AI shows up in your strategy but not yet in your operations, a transformation is what turns one into the other. Get in touch and we'll map a first phase that proves value fast.

How the accelerator unfolds

We run the accelerator in phases, each ending in something real in production. Early wins fund and de-risk the work that follows, and the roadmap adapts as the organization learns.

1
Phase 1Phase 1
Strategy and pilot

We align on ambition, map and prioritize use cases by value and feasibility, and choose the first one to pilot.

2
Phase 2Phase 2
Foundation

We build what your first use cases need to run: the data pipelines, the platform, and the guardrails that keep AI safe and auditable. Built to extend, not to throw away.

3
Phase 3Phase 3
Deliver in production

We ship the first AI applications against live data, measure impact, and harden what works for scale.

4
Phase 4Phase 4
Scale and enable

We extend the platform, upskill your teams, and hand over a repeatable way to deliver the next wave without us.

What you walk away with

  • Production AI applications running against live data and delivering measurable value, not slideware.
  • A data and platform foundation you own, built to support what comes next.
  • Governance and guardrails that make adoption safe and auditable.
  • Teams equipped to keep building the capability in-house.
Ready to take AI from pilot to capability?
Book a diagnostic call with a tDigital consultant — bring your AI ambitions, get an expert read on where to focus and how to build for scale.
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