Insights
Written by Frank Callaly
A 10-point diagnostic to assess whether your engineering organisation is ready to scale agentic AI safely across the SDLC.
Agentic AI has the potential to accelerate software delivery, but scaling it introduces new challenges across architecture, governance, cost and engineering talent.
For CTOs, VPs of Engineering and Chief Architects in banking, insurance and financial services, understanding whether the right foundations are in place is critical before widening adoption.
This 10-point checklist helps you evaluate your organisation across context and codebase architecture, token economics and regulatory governance, and talent and delivery ROI – giving you a clear indication of your readiness to scale.
Per-token prices have collapsed. Enterprise AI bills have not. The gap between those two facts is where most engineering leaders are currently losing the ROI argument, and it is not a pricing problem.
AI has the potential to significantly accelerate software delivery, but moving from individual tools and experiments to meaningful enterprise impact…
An insight briefing exploring the SDLC trends, talent shifts and leadership priorities shaping banking and insurance through 2026.