10 business days · Fixed scope · Fixed price

AI Value & Production Readiness Sprint

In 10 business days, TTD will tell you which AI opportunities are worth funding, what will block safe production, and what to do over the next 90 days.

Book your 30-minute Readiness Review See what’s included

Many organisations have AI pilots and Copilot licences, but no clear answer to three questions: which AI opportunities are worth funding, what will stop them reaching production safely, and what to do next. Our free AI Readiness Assessment gives you a quick, self-reported starting point.

The Sprint goes further. Over 10 business days, TTD works with one business unit to test that self-reported view against stakeholder interviews and real evidence, then turns it into a funded, prioritised plan. The scope is fixed, and the price is fixed and agreed up front.

Who It’s For

Built for organisations that have started with AI and now need to make defensible decisions.

Regulated Organisations

Organisations of roughly 200 to 2,000 employees in regulated sectors, where AI decisions need to stand up to risk, audit and compliance scrutiny.

Already Experimenting

Teams already running AI pilots or rolling out Microsoft Copilot who need to decide what to scale, what to fix and what to stop.

Leaders Who Need a Decision

Executives, technology and risk leaders who need a clear proceed / prepare / pause recommendation and a business case they can take to the board.

What’s Included

A fixed scope, so you know exactly what you will get.

                                Scope & Inputs
                                 One business unit
 Up to five stakeholder interviews: executive, technology, operations and risk
 Review of up to eight supporting artefacts
 Your completed AI Readiness Assessment as the self-reported baseline
 Methodology mapped to NIST AI RMF and ISO/IEC 42001

                            

Deliverables

Self-reported vs TTD-verified readiness score
Stakeholder alignment and evidence-confidence analysis
Three AI use cases ranked by value, feasibility and risk
One quantified business case
Data, integration, security and governance gap map
Microsoft Foundry-aligned target architecture
Proceed / prepare / pause decision
Prioritised 90-day roadmap
Executive presentation and readout

How the 10 Days Run

Days 1–2

Kickoff and evidence

Confirm scope and the business unit, collect up to eight supporting artefacts, and baseline your self-reported AI Readiness Assessment.

Days 3–5

Interviews and verification

Up to five stakeholder interviews across executive, technology, operations and risk. Test answers against evidence to produce a TTD-verified score.

Days 6–8

Use cases, business case and architecture

Rank three use cases by value, feasibility and risk, quantify one business case, map gaps and design a Microsoft Foundry-aligned target architecture.

Days 9–10

Decision and readout

Agree a proceed / prepare / pause decision, finalise the prioritised 90-day roadmap and present the findings to your executive team.

Outcomes

What you walk away with at the end of the Sprint.

Know What to Fund

A ranked shortlist of three use cases and a quantified business case for the strongest one, so investment goes where the value is.

Know What Will Block Production

A clear map of the data, integration, security and governance gaps that would stop AI reaching production safely.

Know What to Do Next

A proceed / prepare / pause decision and a prioritised 90-day roadmap your team can start on straight away.

A Score You Can Defend

Your self-reported score set alongside a TTD-verified score, with stakeholder alignment and evidence-confidence analysis.

A Target Architecture

A Microsoft Foundry-aligned target architecture that fits your existing Microsoft estate and governance requirements.

Governance-Ready Findings

Findings mapped to NIST AI RMF and ISO/IEC 42001, ready to feed into your risk and compliance processes.

Free Assessment vs the Sprint

Start free. Move to the Sprint when you need a verified answer.

	Free AI Readiness Assessment	AI Value & Production Readiness Sprint
Time	About 4 minutes, online	10 business days with TTD
Input	One respondent, 24 questions	Up to five stakeholder interviews and up to eight supporting artefacts
Score	Self-reported, placed against TTD’s maturity framework	Self-reported vs TTD-verified, with stakeholder alignment and evidence-confidence analysis
Risk	8 production risk gates flagged from your answers (citing NIST AI RMF, ISO/IEC 42001, OWASP and POPIA), plus an answer-consistency check	Risk gates tested against evidence and stakeholder interviews, mapped to NIST AI RMF and ISO/IEC 42001
Use cases	Three observations and Tech Radar suggestions	Three use cases ranked by value, feasibility and risk, plus one quantified business case
Architecture & gaps	Strongest and weakest areas, with 30-day quick wins	Data, integration, security and governance gap map and a Microsoft Foundry-aligned target architecture
Plan	No roadmap: a starting point for discussion	Proceed / prepare / pause decision and a prioritised 90-day roadmap
Output	PDF report, emailed with a 90-day private link	Executive presentation and readout
Cost	Free	Fixed price, agreed up front

Take the Free Assessment Book your 30-minute Readiness Review

Frequently Asked Questions

10 business days from kickoff, with a fixed scope covering one business unit. The Sprint ends with an executive presentation and readout.

The Sprint is fixed price, agreed up front before we start. Book a 30-minute Readiness Review and we will confirm scope and price for your organisation.

Access to up to five stakeholders for interviews (typically executive, technology, operations and risk), up to eight supporting artefacts such as strategy documents, architecture diagrams, policies or data inventories, and a completed AI Readiness Assessment.

The free Scan is a 4-minute, self-reported view from one respondent. The Sprint tests that view with stakeholder interviews and evidence, gives you a TTD-verified score alongside the self-reported one, and turns it into ranked use cases, a quantified business case, a target architecture, a proceed/prepare/pause decision and a prioritised 90-day roadmap.

Our methodology is mapped to the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 42001, so findings can feed directly into your risk and governance processes. The mapping supports your governance work; it is not a certification or audit against those standards.

The target architecture is aligned to Microsoft Foundry and the wider Microsoft cloud, which suits organisations already using Microsoft 365, Copilot or Azure. The use case ranking, business case and governance findings are useful whichever platform you choose.

Regulated organisations of roughly 200 to 2,000 employees that are already experimenting with AI or Microsoft Copilot and need to decide which opportunities to fund and how to get them safely into production.