Find out what’s holding your AI back

In just 1-2 weeks, get an evidence-based view of what’s ready, what isn’t and what to fix next.

Know what your AI needs to succeed at scale

AI initiatives rarely stall because the model isn’t clever enough. More often, the problems sit underneath it.

The AI Readiness Reality Check gets underneath the symptoms. We take one priority AI initiative and assess the enterprise around it, so you know what’s holding it back and where to focus next.

This is not a complex transformation programme. Not an assessment for assessment’s sake. It’s a focused snapshot for an AI initiative that isn’t performing as expected, giving you the evidence to decide what happens next. 

Why does it matter?

AI exposes problems organisations have quietly worked around for years. From hidden data issues and manual workarounds to unclear ownership and missing business context.

AI doesn’t make those problems disappear. As it takes on more work, it can expose them faster and at greater scale.

AI problems aren’t always AI problems. Find the root cause first, then decide how and where to invest. 

 

Symptoms that the enterprise may not be ready to scale AI: 

Why Enterprise AI Fails (And How to Fix It!)

The AI challenge is now about operationalisation. We break down the three challenges emerging inside enterprise AI programmes right now and how to fix what might be holding you back: Data, Governance & Enterprise Memory. 

Three questions. One clearer picture.

We assess your priority AI initiative through three connected lenses.

Data readiness
We look at whether the information feeding your AI is trusted, owned, traceable and approved for use.
Governance control
We look at whether the initiative is visible, controlled, accountable and auditable.
Enterprise memory
We look at whether your AI has access to the business meaning, context and relationships behind the information it uses.

What you get

The point isn’t another score. In 1–2 weeks, you’ll know what to fix before you invest further.

A clear view of readiness
Understand whether your priority AI initiative has the foundations it needs to move forward.
A readiness heatmap
See strengths and gaps across data readiness, governance control and enterprise memory.
Know what matters first
Separate assumptions from the issues that are genuinely getting in the way.
See the risks and opportunities
Understand where gaps could create risk and where fixing them could move the initiative forward.
A 30 / 60 / 90-day roadmap
Turn the findings into practical actions your teams can start working through.
A better next decision
Know whether to proceed, pause, remediate or investigate further before committing more time and budget.

We work with you on one priority use case, agent, deployment, RAG solution or business process with minimal day-to-day disruption. 

Why choose Ortecha?

AI doesn’t work in isolation and neither do we. 

Our team brings together expertise across AI strategy, data management, engineering and enablement. So we can see beyond the immediate symptom and understand what’s really getting in the way.

Clients choose to work with us because: 

Let's talk

If an AI initiative isn't moving as expected, don't guess at the problem.

Most asked questions

The AI Readiness Reality Check is a focused evaluation of one priority AI initiative.

We assess its data readiness, governance control and enterprise memory to identify what’s working, what’s creating risk and what needs fixing next. 

The AI Readiness Reality Check is particularly useful for Chief AI Officers, Chief Data Officers and people responsible for technology, architecture, governance and risk. 

If you are an organisation or team with a specific AI initiative that needs to move forward, but isn’t quite getting over the line, this would suit you. 

For one use case, it typically takes 1–2 weeks. The process is deliberately light touch, using targeted evidence reviews and stakeholder conversations to get to useful answers quickly.

The Reality Check can be applied to any type of priority AI use case, agent, deployment, RAG solution or business process using AI.

If you have multiple initiatives you’d like the team to review – no problem! We’ll work with you to develop the best Reality Check engagement that meets your needs.  

Examples: 

  • An AI pilot struggling to reach production
  • An AI agent that can’t reason reliably
  • A RAG solution producing inconsistent answers
  • An AI deployment facing governance or control concerns
  • A business process being redesigned around AI
  • An initiative that needs stronger evidence before further investment

Enterprise Memory is the business meaning and context AI needs to reason reliably. We look at whether AI understands the definitions, relationships and context behind the information it uses, rather than simply having access to the information itself.

Read more about the Enterprise Challenge in our article: Why AI Agents Fail Without Enterprise Memory

You’ll have the evidence and priorities to make a clearer decision about what happens next. That might mean fixing specific gaps, investigating something further or taking a pause to evaluate where your investment will matter most. 

What happens next is your decision. We can help fix the problem, assess another AI initiative, help launch an AI agent or partner with you on a complete AI transformation programme. 

Explore more solutions

The AI Readiness Reality Check tells you where to focus. Ortecha’s wider AI solutions help you act on what we find.

Resources & insights

Practical thinking from people delivering data, AI and technology.