14 years embedded in technology programmes across healthcare, SaaS, and enterprise — US to APAC. I fix delivery systems that are failing, and build ones that hold after I'm gone.
The team is capable. The technology is sound. But something in the system is breaking — governance gaps, communication that fails at the seams, accountability that sits with one person when it should sit with the operating model.
Find out if there's a fitSteering committee hears green. The team knows it's red. Six months in, nothing has shipped on schedule.
Proof of concept worked. Production is another story. The programme is burning time, budget, and trust.
The team grew from 8 to 40. The delivery model didn't. You need systems, not another senior hire.
Every engagement is built to make my involvement redundant. The goal isn't delivery that works while I'm there — it's a system that holds after I leave.
Two days a week embedded in your leadership team. I run the delivery governance cadence, coach your internal leads, give the CTO genuine visibility into programme health, and build the operating model that makes my involvement redundant over time.
I take ownership of delivery for AI transformation initiatives that have stalled. Programme governance, stakeholder alignment, risk management, and the user adoption framework that determines whether the AI initiative actually survives contact with the organisation.
Scaling Agile across multiple delivery centres is an organisational design problem, not a methodology problem. I design and embed the operating framework that connects teams across sites — sprint governance, cross-team dependency management, milestone tracking, and the reporting layer that gives senior leadership a true picture of programme health. Delivered a $6M OutSystems programme 25% ahead of benchmark across four centres using exactly this model.
Two weeks inside your delivery organisation — sprint predictability, governance structure, team dynamics, risk posture, tooling. Not to audit, but to diagnose. The output is a clear picture of where risk is accumulating and what to address first.
A multi-portal platform serving 4,100+ practices had the technical ambition but not the delivery infrastructure to match its clinical stakes. I rebuilt the cross-border operating model, scaled the team from 8 to 20+, and led AI programme delivery — NLQ interfaces and AI Agent tools — while maintaining zero Sev-1 incidents throughout.
An OutSystems enterprise programme spanning four delivery centres was drifting — coordination overhead, governance fragmentation, declining predictability. I designed an Agile scaling framework that unified delivery across sites and delivered the full programme 25% faster than the organisational benchmark. Team retention held at 92%.
No team, no clients, no delivery infrastructure. Over four years: $2M+ ARR, 15+ concurrent client engagements across healthcare, SaaS, and retail, international partnerships across SE Asia and North America, and a 20+ person team built and operating independently.
If what you've read describes your situation, a 20-minute conversation will tell us both whether there's a fit.
These aren't methodology slides. They're observations from 14 years of being in the room when programmes fail — and when they don't.
When delivery fails, the team usually isn't the cause. The governance cadence is wrong. The communication layer is missing. Accountability sits with a person instead of a system. Fix the structure and talented teams perform.
I sit in the RAID review. I'm on the steering committee call. I know what the delivery signals actually say — not what the status report claims. Distance is the single biggest constraint in traditional consulting.
I'm not building dependency. From day one, the engagement is designed to end — with a delivery operating model your team runs without me. The measure of success is that you don't need me after.
14 years inside technology organisations — not advising from a distance, but embedded in the work. Most delivery problems aren't technical. They're structural. Governance that doesn't scale. Communication that breaks at the seams. Accountability that sits with one person when it should sit with a system. That's what I fix.
Across agencies, healthcare platforms, and enterprise SaaS transformations, the pattern is consistent: organisations delivering unpredictably start delivering with confidence. Teams losing client trust regain it. AI programmes that stalled get to production. The changes hold because they're built into how the organisation runs — not dependent on my presence to sustain them.
Working with Vivirhub, Xebia, Aaseya, and others has shown me exactly where delivery systems break — and what it takes to fix them in a way that lasts. That accumulated pattern is what I bring into every engagement.
Based in Mumbai and Pune, India. Serving clients in US, UK, and APAC. MBA in Marketing and Finance. BCA in Computer Applications. 14 years of embedded delivery leadership.
Fractional CDO for organisations that need delivery leadership installed — not a recruiter-facing CV, not a methodology presentation. A small number of engagements per year.
How complex software delivery actually works inside large organisations. Written for delivery managers, engineering leaders, and CTOs who want to see past the frameworks.
Not theory. Not productivity tips. Operator-level analysis from inside real programmes — the signals, the mistakes, the patterns that repeat, and what experienced leaders do differently.
Read by delivery managers, CTOs, and programme directors in the US, UK, and APAC.
Weekly. Every Wednesday. Operator-level analysis of how delivery actually works inside complex programmes. No pitch, no padding.
Real situations from enterprise programmes — what happened, why it happened, and what someone with better pattern recognition would have done differently. These aren't cautionary tales. They're maps.
The signals experienced delivery leaders watch for — velocity patterns, communication frequency changes, the quietly reversed scope decisions. What to measure, how to read it, and when to act.
What AI actually changes about how programmes are planned, governed, and executed — written from experience delivering AI initiatives into production, not observing them from the outside.
The realities of managing distributed teams across countries, cultures, and timezones. Specifically the UK/US–India delivery corridor — where most failures are predictable, most fixes are underestimated.
The problems in the newsletter are the problems I fix. If yours is on that list, reach out.
Twenty minutes. Three questions — the problem, what you've already tried, and what good looks like in 90 days. By the end, we'll both know if there's a fit. If there is, a one-page proposal follows within 48 hours.
Accepting engagements now for 2026.
Serving clients in US, UK, and APAC.
No forms. No scheduling links. Just a direct message.