Technology Leadership
Technology Leadership Is a Business Function
By Tauseef Israr2026-02-126 min read
Over the years, I have seen technology programs struggle in both small organizations and large enterprises. The size of the budget, the number of people involved and the governance structure may change, but the underlying problems are often familiar: unclear decisions, unresolved dependencies, poor ownership and assumptions that remain unchallenged for too long.
That is one reason I have come to see technology leadership as a business function. Technology matters, but the more consequential work often involves helping the organization make better decisions about risk, investment, timing and priorities.
Read article →Program Recovery
What Recovery Work Actually Looks Like After a Program Drifts Off Course
By Tauseef Israr2026-04-048 min read
Troubled programs have a strange ability to remain busy. Meetings continue, reports still go out, vendors keep invoicing and teams keep working toward milestones that some of them no longer believe.
Then you sit down with the people doing the work. One person says the date is unrealistic, another says the requirement is still unresolved, and finance has a different forecast from the project office.
Recovery begins once the organization stops defending the old version of the program and starts dealing with the one that actually exists.
Read article →Delivery Assurance
Ready to Go Live Is a Business Judgment as Much as a Technical One
By Tauseef Israr2026-06-227 min read
A system can be technically ready and the organization can still be unready to launch it. I have seen programs reach go-live with infrastructure stable, deployment rehearsed and critical defects closed, only to discover that training is incomplete or the support model still depends on one key person.
Go-live is often treated as the final technical checkpoint in delivery. In practice, it is a decision about whether the organization can absorb the change and operate through what follows.
Read article →AI Governance
AI Governance Belongs in the Delivery Control Model
By Tauseef Israr2026-08-145 min read
Most organizations do not have an AI governance problem because nobody has written a policy. The bigger problem is that governance and delivery often operate in different places.
Legal reviews acceptable use, security looks at data handling, architecture considers approved platforms and a responsible AI group develops principles. Meanwhile, the delivery team is already choosing models, connecting data, designing prompts and deciding how much human oversight the process will require.
By the time governance catches up, many of the important decisions have already been made.
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