Data & AI Readiness

We assess data quality, system landscape and use cases so that you can start with a clear, financially viable plan in AI and automation, instead of a proof of concept that fizzles out.

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What we look at

From the full picture to a business case.

Data and systems as one picture

We look at your data and systems as one picture, not as separate projects. We analyse data quality, duplicates, gaps and GDPR status, and check how well your system landscape is prepared for Agentic AI.

From that comes a quantified target picture

Where the biggest lever sits, which use cases are worth doing first, which risks have to be addressed. We prioritise by ROI instead of starting everywhere at once.

It ends in a business case

The result is a solid business case and a concrete roadmap your management can use to make an informed decision.

What you receive

Four deliverables, not a slide deck.

Data audit & data quality

An inventory of every relevant data source: quality, gaps, duplicates and GDPR status at a glance.

AI use-case assessment

We identify and prioritise the use cases with the biggest ROI, instead of starting everywhere at once.

Architecture blueprint

A target architecture for data, CRM and the AI layer — technically sound and ready to build.

ROI model & business case

A quantified business case with effort and impact, ready for management sign-off.

FAQ

Frequently asked questions about Data & AI Readiness

What is Data & AI Readiness?

Data & AI Readiness is a structured assessment of where you stand before any AI project. Thorit evaluates data quality, system landscape and possible use cases, and delivers a quantified ROI model and a prioritised roadmap, so you can decide on solid ground before you invest.

Who is Data & AI Readiness for?

For companies whose data sits spread across several systems, who want to invest in AI but do not yet know the ROI, or whose earlier proofs of concept fizzled out. In short: for anyone who needs a solid business case for management.

How long does a Data & AI Readiness analysis take?

Usually two to four weeks, depending on the size of the system landscape. It ends with a concrete target picture: prioritised use cases, an architecture blueprint and an ROI model.

What is the concrete result?

You receive four building blocks: a data audit on data quality, a prioritised AI use-case assessment, an architecture blueprint and a quantified business case, ready for management sign-off.

What happens after the readiness phase?

Plan is followed by the Build, Operate and Automate layers of the Agentic Growth Stack. The roadmap defines which CRM implementation on HubSpot, which software and which AI agents deliver the biggest lever first.

Is the analysis GDPR-compliant?

Yes. We check the GDPR status of your data as a fixed part of the audit and work with EU hosting. Data protection risks are named and addressed in the roadmap.

Other Plan services

Three more services in Plan

If Plan is not the right starting point for you, explore the other phases of the Agentic Growth Stack as well.

Platform & Custom Software Design

Target architecture for platform and in-house development: what HubSpot handles, what in-house software provides, and how both interact.

Read more

CRM Strategy & Process Design

Sales, marketing and service processes are designed to be mapped in the CRM, instead of existing alongside it in spreadsheets.

Read more

Agentic Operating Model

Roles, responsibilities and guidelines for working with AI agents, defined before the first agent goes into production.

Read more
first step

The first step towards an agent-native company.

In the Enterprise Discovery Workshop we develop a clear target picture and a business case that holds up, in a matter of days. Fixed price, no open-ended day rates.

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