Insights

We strive to share ideas and unique perspectives that can provoke new ways of thinking, spark discussion and debates and inspire action. Here you will find our thought leadership and insight pieces.
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Leveraging AI as a "Context-Aware" Troubleshooter

What if AI could debug with the same context you have, across your logs, database and codebase? That’s what we’ve been experimenting with as part of our Augmented Engineer series.

How we are trying to use AI in an environmentally minded way

Artificial intelligence is reshaping how organisations work, from augmenting teams with AI tools to embedding intelligence into core operational systems. But as AI adoption accelerates, it brings environmental considerations that organisations need to address deliberately and responsibly.

The Augmented Engineer: Alex’s Personal AI Assistant

Modern engineering work isn’t short of tools. What it’s short of is focus. Messages arrive constantly. Emails, Slack threads, Jira tickets, calendar pings, comments, mentions. Everything feels urgent. Very little is actually important. For senior engineers and engineering leaders, that noise fragments attention and pulls time away from the work that really matters. This is the problem Alex set out to solve.

The Augmented Engineer: why 2026 demands a new perspective to AI

We are excited to kick off our new thought leadership series, brought to you direct form our engineering team. “The Augmented Engineer”, explores the real, practical impact of Artificial Intelligence on engineering disciplines.

Embedding Agentic AI into Modern DevSecOps

This week, Cognizant, and Answer Digital welcomed technology leaders from across healthcare and critical national services into the Answer Digital Leeds Tech Hub for a joint event to and discuss: Embedding Agentic AI into Modern DevSecOps.

Why data is the most undervalued asset in PE portfolios

In private equity, value creation is often framed around cost control, operational improvement and strategic growth. Yet one of the most powerful assets inside most portfolios is still routinely overlooked: data.

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