Insights & Resources from Configur

Sam Altman's 'polite prompts cost millions' headline made for great debate, but it hid the real story. The cost of AI isn't in your manners, it's in the data foundation beneath.

AI is already part of how work gets done. But the latest data shows something more important than scale. People aren’t just using AI to complete tasks. They’re using it to think, interpret, and shape decisions. As reliance grows, the question isn’t whether teams are using AI. It’s whether the answers they’re getting are consistent, reliable, and based on the same underlying data. This is where most organisations are now exposed.

Reporting doesn’t have to be complex. A practical guide for housing associations looking to simplify compliance reporting, connect fragmented data, and gain a clearer view of risk.

In March, we spent time with a group of CMOs, CDOs and CAIOs at an AI-focused leadership event. The challenge isn't whether to adopt AI, but how to make it work in a way that's structured, connected and actually useful.

Secure AI isn’t just about protecting systems. It’s about controlling what AI can access, who can see the answers, and ensuring every interaction with your data is traceable.

There isn’t a lack of data. Late insight is the real cost. This ebook explores why blind spots persist in investment environments, where reporting models begin to strain, and what changes when data is governed at the foundation. Simply fill in your details below to download the eBook.

An exploration of reverse prompting and how leaders can use AI with a strong data foundation to analyse business data, surface hidden risks and opportunities, and support better strategic decision-making.

Choosing a data or analytics platform isn’t just a software decision. It’s a decision about ownership, capability, and how insight actually gets delivered over time. This article walks through the real considerations behind SaaS, managed, and hybrid approaches, helping organisations choose a model that fits how they operate in practice, not in theory.

Configur, the enterprise data management and AI enablement platform, and Biomni (part of the Illuminet Group), creators of the Tenjin automation and knowledge assistant, today announce a strategic partnership to transform how organisations access, understand, and act on their data.

AI isn’t replacing jobs, it’s replacing tasks. In this post, Configur CTO Josh Evans unpacks the findings from recent MIT, OECD, and Microsoft studies to explore how generative AI is accelerating automation in knowledge work. From finance to operations, repeatable tasks are being reshaped, creating both disruption and opportunity. The future belongs to teams that integrate AI wisely and invest in skills that can’t be automated.

A recent MIT study suggests that heavy reliance on AI tools like ChatGPT may reduce neural engagement. But in business, the problem isn’t overthinking, it’s cognitive overload. This blog explores how AI-powered tools like Configur can support non-data teams by removing friction, not replacing thought. It reframes AI as a catalyst for clarity and faster, more confident decision-making, especially for users who need more insights, not more dashboards.

Join Marco Oliver (CEO & Co-founder of Configur) and Richard Lewis (Founder @ Maven Cymru) for a visual, practical walkthrough of how data becomes decision-ready inside organisations.

A video showcasing an overview of the Configur Platform and services that support businesses across 15 sectors to make change and achieve their AI and Data Aspirations

Meet Abi: your secure conversational AI that knows all about your data. Designed to transform how teams engage with data, Abi turns questions into instant, contextual answers: no dashboards, no code, no waiting. Just ask, 'Which region outperformed this quarter? and get insights that are not only immediate, but enriched with trends, context, and visuals. It’s data intelligence, reimagined for decision-makers. @goconfigur ​

We often think of data as a universal business asset. Something everyone can access, understand, and act on. But the reality is far more fragmented. Despite the rhetoric around data-driven decision-making, data literacy; the ability to read, work with, analyse and communicate data, isn’t evenly distributed across teams.

Origination success often comes down to timing, precision, and insight, with Origination teams across Private Equity, Venture Capital, and Corporate M&A being held back - not by a lack of ambition, but often by a lack of data agility.

In today’s data-driven world, organisations sit on vast amounts of information, but how many people actually know how to use it effectively?

As businesses enter 2025, data-driven decision-making is more crucial than ever. Read more about the biggest data topics of the year...

Discover the advantages of stakeholder mapping and how this process can increase the chances of project success.

An insight into enterprise data management best practices.

Discover the range of benefits associated with data centralisation in our detailed guide.

Gain an insight into the benefits of workflow automation.

Discover how to improve data literacy in your company and drive smarter, data-driven decisions.

What are data silos and why are they bad? Discover how data silos can hinder your business in our guide.

Discover how AI Is Improving Data Management by automating tasks and improving security.

In a world where our lives are increasingly intertwined with technology and data, ensuring the protection and security of our digital assets has never been more essential.

Data literacy and security have become paramount concerns across various sectors, including education. Multi-Academy Trusts (MATs) are no exception. With the increasing use of technology in schools and administrative processes, MATs must prioritise data literacy and security to protect sensitive information and ensure informed decision-making. This blog post delves into the importance of data literacy and security in MATs and offers strategies to promote and enhance them effectively.‍