Technology & AI
Perspectives on technology & ai from the Ganexa consulting team.
Technology & AI Zero Trust Is an Operating Model, Not a Product
Why a zero trust operating model beats buying tools: identity as the perimeter, controls for AI agents and machine identities, and a wave-by-wave plan.
Technology & AI Red-Teaming Your AI: The Attack Surface You Are Not Testing
AI red-teaming explained for leaders: the threats standard security testing misses, how a structured exercise runs and the fixes that reduce real risk.
Technology & AI RAG Done Right: Enterprise AI Search Without the Hallucinations
How to build enterprise AI search with RAG that staff trust: grounded, cited answers, permission-aware retrieval, evaluation and where to start.
Technology & AI Fractional CTO or CIO: When It Makes Sense, and When It Doesn't
What a fractional CTO or CIO does, the situations it fits, when to hire full time instead, and how to scope, govern and hand over the engagement.
Technology & AI The EU AI Act: A Practical Compliance Playbook
A practical EU AI Act compliance playbook: how to inventory and classify your AI, know your role, build controls into delivery and plan the first 90 days.
Technology & AI From Dashboards to Decisions: Decision Intelligence in the AI Era
How decision intelligence moves analytics from dashboards into the moment of choice, with conversational and agentic tools built on governed data.
Technology & AI Cybersecurity for the AI Era: Defending AI, and Defending Against It
Cybersecurity for the AI era has two sides: AI-powered attacks and the AI systems you deploy. How to defend both with one identity-centred posture.
Technology & AI Cloud Cost Is a Strategy Problem, Not an Engineering Problem
Why a cloud cost strategy beats one-off optimisation: unit economics, FinOps as a capability, and how to control the rising cost of AI workloads.
Technology & AI Choosing AI Models: Buy, Build, Fine-Tune, or Go Small
A leader's guide to choosing AI models: hosted, open-weight or small, when fine-tuning pays, residency, cost, lock-in, and why evaluation decides.
Technology & AI Building a Data Strategy That Actually Works: Five Principles
Five principles for building a data strategy that actually works, what generative AI changes, and a 90-day plan that starts from business decisions.
Technology & AI AI-Ready Data: What It Actually Takes
What AI-ready data means in practice: ownership, fit-for-purpose quality, permissions, unstructured content, lineage and privacy, one use case at a time.
Technology & AI AI Governance That Works: An Operating Model, Not a Policy Document
How to build an AI governance operating model: roles, an AI inventory, risk tiers, monitoring, supplier and agent controls, with ISO/IEC 42001 as scaffolding.
Technology & AI AI Support Agents That Deflect Tickets Without Frustrating Customers
How to design AI support agents that resolve routine tickets, hand over to people with full context, and are measured on resolution, not deflection.
Technology & AI AI-Augmented Consulting: What It Actually Means for Your Business
What AI-augmented consulting should mean in practice, where it adds little, the data questions to raise and how to test a firm's claim before you sign.
Technology & AI Agentic AI in the Enterprise: Moving From Pilots to Production
How to move agentic AI in the enterprise from pilot to production: lessons from RPA, the controls that build trust and the right processes to start with.
Technology & AI Your Copilot Licences Are Gathering Dust, Here Is How to Fix It
Why AI copilot adoption stalls after the licences are bought, and a practical 90-day plan covering grounding, role-based enablement and measurement.
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