Fractional CTO & Sovereign AI Architect
I help founders, CEOs, and boards regain visibility, control, and execution as complexity outpaces their systems.
Creator of APML™ and HEIP™ - proprietary frameworks for governed AI deployment and enterprise intelligence.
Trusted by organisations & ventures across FinTech, InsurTech, AgriTech & Government
Who I work with
I work with executives and founders who need technology leadership that speaks both languages - boardroom and engineering.
CEO
Needs strategic clarity
Founder
Scaling past early chaos
Board
Needs independent view
CIO / CTO
Needs AI governance
Family Business
Modernising operations
Insurance
Digitising the pipeline
Government Agency
Public sector delivery
NGO
Tech for impact
Scale-up
Outgrowing early systems
SME
First digital infrastructure
Enterprise
Complex transformation
International
Cross-border execution
Common situations I solve
Your technology team is busy but nothing strategic gets delivered.
You have multiple software vendors but no single technology leader accountable for outcomes.
You know AI matters for your organisation but don’t know where to responsibly start.
You inherited legacy systems that are slowing growth and nobody can explain the risk.
Your software projects keep missing deadlines and nobody can tell you exactly why.
You need executive technology leadership now but cannot justify a full-time CTO hire.
26+
Years in production delivery
200+
Systems built and shipped
9+
Live IP products
50+
Development teams led
Multi
Country engagements
Results, not promises
50% → 5%
Harvest wastage. 100 farmers in Dambulla.
A farming cooperative was losing half of every harvest between field and market. No visibility. No coordination. We built a real-time information layer that closed the gap between what was happening and what decision-makers knew.
"That system paid for itself in the first harvest."
- Udaya Kumara, Agriculture Consultant
9 days
23 modules. Full bancassurance pipeline.
Suntrust needed a full digital operating system across 23 insurance product lines. We architected and delivered vTrust using HEIP AI agents. 90% reduction in manual processing cycle.
First
CBSL-licensed web-native payment gateway.
Built Sri Lanka's first account-to-account web-native payment platform from scratch - full architecture, compliance documentation, regulatory submission, and Central Bank licensing.
"The architecture was done right the first time. That's rare at this speed."
- Hithesh Fernando, CEO, Fintech Digital
90 days
Project rescued. 18 months of failure reversed.
An 18-month software project was 70% over budget with no credible delivery date. Independent audit, scope reset, and APML-governed delivery restructure. Core product shipped within 90 days of engagement.
"For the first time in two years, I understood what I was paying for."
- Saeed Alghafri, CEO, Yuwab
4 min
Board pack. Was 3 days. Now 4 minutes.
Leadership team needed AI strategy, governance, and execution - not vendor noise. Deployed HEIP agent framework, mapped 60+ processes, built board-ready AI roadmap. 3 systems live in production within one quarter.
"We went from AI anxiety to AI execution in one quarter."
- Gehan Madanayeka, Managing Director, DGH Tech
4 days
40+ documents. Full investor-ready startup suite.
UrbanSphere - a Urban Access Economy platform - needed a complete business foundation: strategy, unit economics, product spec, GTM playbook, risk register, and investor packaging. HIVE™ sovereign AI produced 40+ structured documents across 6 phases in under 4 days. A consulting firm would quote 3 months.
"The documentation framework that used to take months now takes days. HIVE changes what's possible."
- Shanil Randeniya, Founder, UrbaneSphere
What changes when we work together
"I don't know what's happening in my technology function."
"I finally have visibility."
"Things are moving but I'm not in control of where."
"I know what's being built, why, and at what cost."
"I don't know if AI is right for us or where to start."
"I have a plan. My board understands it. We're executing."
Nine live initiatives across Sovereign AI, FinTech, InsurTech, and Platforms.
Hewage Enterprise Intelligence Platform
A 60+ agent sovereign AI operating system - runs operations, reporting, research, and product manufacturing across the full practice. Built on infrastructure you own, governed by APML™, and impossible to replicate without the methodology behind it.
60+
AI Agents
9
Workstreams
100%
Sovereign
Intelligence
Executive reporting & analysis
Manufacturing
AI-governed product delivery
Research
Market & competitive insight
Operations
Workflow & process automation
Governance
APML™ gate oversight
Communications
Content & brand voice
Sri Lanka's first CBSL-licensed web based A2A payment gateway - designed, built, and licensed end-to-end
Learn more →
Full-stack digital insurance operating system - 23 modules designed for Sri Lanka's insurance market
Learn more →Seven ways to engage - from a single advisory session to an embedded Fractional CTO retainer. Plus AI training for your whole organisation.
Ongoing technology leadership without a full-time hire. Embedded in your team, accountable for outcomes.
Learn more →Deploy AI systematically, with governance built in from day one. Applied using APML™.
Learn more →An independent view of your technology function for boards and investors. No agenda except accuracy.
Learn more →New
Board Governance, Executive Leadership, Enterprise programmes, Department workshops, 1:1 coaching. From first prompt to Sovereign AI.
Explore Academy →My engagement process
Executives want to know what they're committing to.
Here is exactly how an engagement unfolds.
30-minute executive strategy session. No preparation needed. I map the situation, identify the real problem (not the stated one), and tell you honestly if I can help.
Independent audit of your current technology function - systems, team, vendors, risk, and governance. Structured under APML™. No agenda except accuracy.
Board-ready technology strategy. Translates findings into decisions. Includes AI readiness, priority sequencing, and the organisational changes required to execute.
Phased delivery roadmap with gate-based milestones. Vendors are held to it. Teams are accountable to it. You know exactly what you're paying for at each stage.
Embedded technology leadership. I sit in your team, attend your meetings, review your delivery, and hold the people who should be held accountable.
Ongoing CTO oversight - monthly board reporting, AI governance, vendor performance reviews, and capability transfer to your internal team so you're not dependent on me indefinitely.
Proprietary methodology
AI Product Manufacturing Lifecycle
"The question isn't whether to use AI. It's whether you'll own it when you do." - Every APML™ engagement is human-governed, gate-controlled, and sovereign by design.
Truth
Audit & diagnose
Strategy
Define the direction
Architecture
Design the system
Build
Gate-governed delivery
Validate
Human approval gates
Operate
Sovereign deployment
Improve
Continuous governance
On AI sovereignty, execution, governance, and what technology decisions look like from the boardroom.
Risk, cost, governance, competitive positioning - translating board-level AI questions into technology decisions practitioners can act on.
Read more →The governance, security, and competitive risks of cloud-dependent AI - and the case for deploying AI on infrastructure you control.
Read more →Every AI project that fails, fails predictably. The gate-governed lifecycle that prevents scope drift, cost overruns, and mismatched outputs.
Read more →Why I do this
I started as a software engineer. For the first decade, I was good at building systems that worked - technically. Then I started watching well-funded organisations fail. Not because of bad engineers. Because nobody in the room could translate between what the board needed and what the engineering team was building.
That gap is expensive. I've seen it cost millions in failed projects, wasted vendor relationships, and missed market windows. It's the same gap in insurance, in agriculture, in government, in fintech the industry doesn't change the problem.
I built APML™ because that gap is solvable, with the right governance structure. I built HEIP™ because the methodology needs to run on something and I wanted to prove it works by running my own practice on it first.
After 26 years and 200+ systems, I still find myself doing the same thing: reducing the distance between decision and action. That's what good technology leadership does. That's why I do this.
Questions
Book a 30-minute Executive Strategy Session
A clear name for the technology problem you're actually facing
Your realistic options - including ones you may not have considered
An honest view of whether I'm the right person to help
No charge for the first session. No pitch. No obligation.
