
Technology Finance: A Guide to Sustaining AI’s Return on Investment
Maximise AI ROI by fusing FinOps speed, TBM rigour and OKRs via TAONexus for agile, outcome-based financial governance.

Maximise AI ROI by fusing FinOps speed, TBM rigour and OKRs via TAONexus for agile, outcome-based financial governance.

From pilot to profit: Navigate the AI cost landscape for scalable strategic advantage.

Agentic AI demands immediate, top-level governance to manage universal risks, preserve accountability, and protect leaders from personal liability exposure.
Autonomous agentic AI presents a universal risk/value challenge; leaders must urgently establish robust, new-era governance frameworks to meet their personal duty of care.

Modernising B2B contracts is key to value creation, shifting from time-and-materials to rewarding outcomes for sustainable, innovative partnerships.

Implementing a technology business management framework improves police services’ financial transparency, enabling data-driven decisions that justify investments and enhance public safety outcomes.

Organisations must adopt performance-based contracts for AI to ensure investments deliver tangible value and costs align with business objectives. This approach links payments to measurable outcomes, shifting from traditional input-based pricing.

ICT leaders: IT costs are rising but it’s an investment in organisational competitiveness. Focus on value realisation through adoption, integration, and process streamlining.

Optimise B2B value capture from disruptive technologies!

Technological advancements follow a compressed four-stage market cycle, creating a corresponding value cycle. Early movers in digital sectors secure disproportionate value, challenged by regulation. Intangible assets drive modern value, demanding revised B2B procurement for ecosystem navigation and value capture.