6. Surface Value to Stakeholders Early and Continuously
One of the biggest sources of tension between technology teams and trading businesses is a lack of visibility.
Traders, risk managers and operations teams need to see progress, provide feedback and influence priorities throughout delivery. Working software creates far more valuable conversations than project plans or PowerPoint presentations.
7. Road Test End-to-End Pathways to a Full “Done”
Technology leaders often underestimate the complexity of the complete trading lifecycle.
A successful outcome is not simply a functioning application. It is a fully operational process that supports front office, risk, operations, finance and compliance requirements under real- world conditions.
Testing must therefore extend beyond individual components to cover the complete end-to-end business journey.
8. Develop a Fault-Tolerant Organisational Culture
Innovation requires experimentation.
Whether implementing AI-enabled software engineering, modernising data platforms or introducing new trading capabilities, some initiatives will not work as expected. Organisations that treat every setback as failure discourage learning and slow progress.
The strongest organisations create environments where teams can learn from incremental failures while maintaining focus on long-term success.
9. Create Psychological Safety
Psychological safety remains one of the most overlooked drivers of successful transformation.
When engineers, architects, analysts and business users feel able to challenge assumptions, raise concerns and discuss mistakes openly, programmes move faster and make better decisions.
This becomes particularly important when introducing new technologies such as AI, where uncertainty and experimentation are inevitable.
10. Openly and Frequently Celebrate Joint, Incremental Successes
Large-scale transformation programmes can take years to complete.
Recognising progress along the way reinforces positive behaviours, builds momentum and strengthens collaboration between technology and business teams. Small wins compound into larger successes.
11. Control Time
Successful trading organisations understand the value of disciplined execution.
Fixed delivery cycles create focus, encourage prioritisation and improve transparency. By controlling time, teams gain greater control over scope, quality and outcomes.
12. Define What Quality Means for You, Then Measure It
Quality cannot be assumed.
TECHNOLOGY DOESN’T DETERMINE SUCCESS. BEHAVIOUR DOES.
For some trading platforms, quality may mean latency measured in microseconds. For others it may mean resilience, scalability, usability or data accuracy. Successful teams establish clear quality measures and continually validate progress against them.
13. Optimise for One Parameter per Iteration
Every programme is constrained by time, cost, quality and scope.
Attempting to optimise all four simultaneously creates confusion and
20 | ADMISI - The Ghost In The Machine | Q2 Edition 2026
conflicting priorities. High-performing teams establish a clear objective for each delivery cycle and align their decisions accordingly.
14. Mitigate Risks Wherever You Can
Technology transformation is fundamentally an exercise in managing change.
Risk awareness must be embedded throughout delivery, from architectural decisions and third-party dependencies to operational readiness and user adoption. Successful programmes treat risk management as a daily discipline rather than a periodic governance activity.
Technology Doesn’t Determine Success. Behaviour Does.
As Trading organisations accelerate investment in AI, cloud platforms and modern trading architectures, the ability to execute transformation successfully will become a significant competitive differentiator.
The evidence suggests that technology alone is not the deciding factor. The organisations that consistently outperform their peers are those that create environments where the right problems are solved, complexity is confronted early, teams learn continuously and value is delivered incrementally.
The 14 behaviours provide a practical framework for achieving exactly that. They are not theoretical concepts. They are observable characteristics of successful transformation programmes and, increasingly, essential capabilities for technology leaders navigating the next generation of change.
Ian Murrin is Founder and CEO of Digiterre and, is co-author of 'Transform! - the 14 behaviours driving successful transformation in the age of AI' by Ian Murrin, Rajesh Jethwa, and Mike Wright.
Ian Murrin E.
info@digiterre.com
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