Data Readiness: The Foundation for AI Automation & Effective Customer Engagement

The full recording and slide deck from our live session, everything you need to take action on your data strategy today.

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22%

of customer records in UK databases are inaccurate

12%

of revenue lost to inaccurate data on average

£900bn

annual cost of dirty data to UK businesses

WATCH THE RECORDING

The full session, on demand

What we covered

Session agenda

01

Why automation investments underdeliver

The tools are ready. The ambition is there. The gap is almost always the same thing.

Marie Roberts

02

A live diagnostic: how data-ready are you?

Five questions. Answer honestly. Understand where your organisation actually sits.

Dan O'Reilly

03

What data readiness actually means

Clean, structured, accessible, usable, defined and why each layer matters.

Marie Roberts
04

The Automation Maturity Model

Four stages, where most organisations sit, and how to progress through them.

Marie Roberts
05

A practical framework: Audit · Centralise · Enrich · Govern

Four actions you can start today. The sequence matters.

Dan O'Reilly
06

HubSpot in action

How HubSpot enables data readiness end-to-end, with live examples.

Jeremy Williamson
 
07

Guest spotlight: Compare the Market

DMA Gold 2025: "Making AutoSergei Real with Meer-tech." What it actually took behind the scenes.

Ji Hye Chang
08

Live Q&A

Your questions, answered by the full panel.

All Speakers
SLIDE DECK

Download the presentation

The full slide deck from the session, including the Automation Maturity Model, the Audit · Centralise · Enrich · Govern framework, case studies, and all key stats.

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KEY TAKEAWAYS

Three Things to Act On

1

The data problem is solvable
It is not glamorous, but it determines whether every other investment you have made actually delivers. The good news: you can start with a single contacts report this week.

2

Most organisations are closer to the start than they think
Run the five diagnostic questions honestly. The gap between perceived maturity and real maturity is usually significant and knowing where you are is the first step.

3

The sequence matters, you cannot skip steps
Clean data → connected systems → reliable automation → AI as the natural next chapter. In that order. AI does not fix a data problem. It amplifies one.

Want a complimentary Data Readiness Audit?

A structured assessment of where you are and your three highest-impact actions. We'll tell you honestly what we find.