We have recently been posting a few blogs around the importance of getting your data AI-ready. This is particularly crucial as AI has massive potential, yet for many organisations, it underdelivers. Proof of Concept programmes rarely get off the ground and into action because there is no sensible or realistic data to use, or the format is not in the business language used within the organisation.
Primarily, this is not because the technology does not work, but because the data feeding the AI is not consistent, trusted, or understood. This is exactly where Smallnet’s Business Term Creator plays a critical role.
The Real AI Challenge: Data Without Meaning
Most organisations have data spread across various systems, departments, and tools. This causes a significant issue when the same term means different things to different teams. For instance, the word Customer might mean one thing to Sales and another to Finance, whilst Revenue is often calculated differently across various reports, and KPIs regularly fail to align across dashboards.
When AI is trained on inconsistent definitions, results become unreliable. Models lose accuracy, trust erodes, and projects stall. Ultimately, AI does not just need data; it needs a shared understanding of that data.
What Is Smallnet’s Business Term Creator?
Smallnet’s Business Term Creator provides a single, agreed business language for your organisation. It enables teams to define and standardise business terms, align data and analytics to those definitions, and share meaning consistently across systems and users. Instead of guessing what data fields represent, both your AI models and your people work from a common, trusted view.
How It Makes Your Data AI-Ready
The Business Term Creator links technical data to business meaning, creating clarity at scale through a simple three-step alignment:
- Business users define terms in plain language.
- Technical teams map those terms to real data.
- AI models train on consistent, trusted definitions.
This collaborative approach removes ambiguity, reduces errors, and enables AI to learn from data that actually reflects the true state of the business.
Here’s a ‘DRAFT’ Example of what we were able to conduct in a very short period of time;
In essence we took some flat files (text/word docs in this instance) see below;
We then via our AI creator ‘categorised’ descriptions, classes, tags and documents that had associations and the could go through these, amend and adjust accordingly.
We then were able to ‘IMPORT’ these ‘AS IS’ into a Data Catalog, we chose IBM’s watsonx.data intelligence due to its capabilities and it provided this display and all the relevant relationships, plus ‘drill down’ to source DATA.
We then were able to create numerous ‘GRAPHICAL display’s’ of the DATA which helped bring the capabilities to ‘life’. All achieved in hours and meant something to the business users/community. From this point ON you can apply which ever AI LLM or model you wish to apply and surface never to be seen valuable DATA for the business.
Plus MUCH MORE….to see a DEMO then let us know.
So some of the ‘Key Business Benefits’ are;
- Faster, More Successful AI Projects: AI initiatives start with clarity rather than confusion, as standardised terms significantly reduce preparation time and rework.
- Trusted Insights Across the Business: Executives, analysts, and AI systems all work from the exact same definitions, which greatly improves confidence in results.
- Improved Collaboration Between IT and Business: Alignment becomes simple and repeatable because business teams own the meaning whilst IT owns the implementation.
- Stronger Governance and Compliance: Clear definitions support traceability, audits, and regulatory requirements without slowing down innovation.
Clear Cost and Time Savings
Smallnet’s Business Term Creator directly reduces operational waste by minimising the time spent reconciling reports, cutting down errors in analytics, reducing rework on failed AI initiatives, and lowering the dependency on specialist resources.
Many organisations spend weeks fixing data issues after reports or models break. With standardised terms, these problems are prevented upstream, saving time, money, and frustration.
Why This Matters Now
As AI adoption accelerates, organisations without a shared business language will inevitably fall behind. AI scales fast, but errors scale just as quickly when definitions are not aligned. Smallnet’s Business Term Creator ensures your data is permanently AI-ready, business-aligned, governed, and trusted.
Final Thought
AI success is not just about algorithms and platforms; it is about clarity, consistency, and trust in your data. With Smallnet’s Business Term Creator, you do not just prepare data for AI, you create a lasting foundation for faster insights, lower costs, and real business value.
This interview with Simon Fryett is extremely relevant, if you would like to arrange a ‘one-on-one’ session with him then let us know at the link below.
Unlocking the Power of Data Governance: Key Takeaways for the AI Era | The IT Insider
Contact us at; SmallNet – The data integration specialists
