DCAM® v3 Pocket Guide
Learn what DCAM is, why it matters, and how to improve your organisation’s data management capability. Download Ortecha’s practical DCAM Pocket Guide for implementation tips, maturity insights and real-world advice.
We’re Letting AI Act Like Attackers
AI is no longer just detecting threat. It can identify and exploit vulnerabilities. This article explores how agentic AI is changing cybersecurity risk.
Customer 360 in Global Technology Company: Lessons From the Inside
Stephen Gatchell, our Partner & Head of AI Strategy, reflects on leading a large-scale Customer 360 initiative and the organisational patterns that often cause these programmes to stall.
Webinar | From Training to Adoption: How to Make Data & AI Skills Stick
Live on 6 May 2026 | Learn how to make data & AI skills stick with Just Eat, Ortecha & Data Booster. Sign up now.
AI Webinar Series | From AI Pilots to Pole Position
Watch on-demand. Our three-part AI webinar series covering Strategy, Engineering and Enablement.
Why Your Next Insider Threat Might Not Be Human
Autonomous AI agents are entering enterprise systems with real permissions and decision-making capability. As organisations automate workflows, a new type of insider risk is emerging — one that governance frameworks are only beginning to address.
Connection at Work in the Age of AI
A reflection on AI at work and the subtle loss of informal collaboration, and why protecting human connection may matter more than ever.
AI Won’t Kill Consulting, But It Will Redefine It.
Consulting isn’t disappearing. It’s evolving. In financial services, demand will grow for partners who combine domain expertise, engineering capability and regulatory understanding.
When AI Has to Grow Up
Stephen Gatchell, Partner & Head of AI Strategy, shares what it takes to move AI from isolated pilots to embedded product capability, drawing on his experience inside a global consumer products company.
The Rule of Three for Data & AI Investments
The Rule of Three offers a sharper filter for AI investment: quantify value, define time to impact and prove how it will be used. CFOs are funding more AI than ever, yet most initiatives still fail to deliver measurable returns because business cases, timelines and adoption plans lack rigour.
