Enterprise architecture · Solution design · Spec-driven agentic AI
I turn complex change and AI ambition into a buildable, governed plan, and see it through to a working solution, delivered with your teams.
Choose the entry point that matches where you are: architecture, a complete solution design, or AI implementation. Each starts with your business problem and an agreed scope.
Enterprise view
When you need a clear view of the estate and a defensible direction for change. I establish ownership, dependencies and priorities with your business and technology leads.
First step: book an architecture decision review
End-to-end design
When complex requirements need one coherent end-to-end solution. I resolve interfaces, security, migration and design decisions with your teams and vendors.
First step: book a solution design review
Governed automation
When repeatable work is ready for automation with clear boundaries and human oversight. Agentic AI means agents that carry out multi-step work, not just answer questions. I build them with secure access, evaluation and traceable outcomes.
First step: book an AI feasibility assessment
Enterprise architecture connected to practical implementation. The programmes below show the scope and the outcomes.
Outcome, challenge and approach
Telecom
TM Forum ODA & Open APIs · Agentic architecture
Banking and finance
Market data · Secure integration · Global messaging
Retail, betting and logistics
Customer journeys · Systems integration · Operational architecture
Ask for a walkthrough
Spec-driven means every step traces back to an agreed, written specification, so the work stays reviewable end to end. For example, tests are written by separate agents that never see the code they check.
Enterprise architecture automation
I design agentic workflows that turn business requirements and enterprise knowledge into architecture options, impact analysis and solution designs. Specifications, diagrams and review feedback stay connected, with architects retaining design authority.
Enterprise grounding · Architect-led decisions
Operational community platform
I designed and built end-to-end SDLC automation for a free community platform that is now operational and self-managed. Agentic workflows take change requests through requirements, wireframes and approval, then architecture, implementation, testing and release. Human approvals and independent verification are built into the workflow.
Change request to approved release
Live walkthroughs on a call, specific to your requirements.
Accountable delivery
25+ years connecting business, applications and data across legacy and cloud systems in telecom, banking and retail, now combined with spec-driven agentic AI.
Also insurance and other domains, through close work with domain specialists.
Agentic Vertical AI Automation Certified Specialist.
Master of Engineering with Honors, IIT Roorkee
Bachelor of Technology with Distinction, Sri Venkateswara University
You get clear baselines and agreed measures for revenue, cost and time to market.
Requirements and design decisions stay connected, with explicit trade-offs you can defend to your board.
Your architects and engineers keep maintainable specifications and operating guidance. No black boxes.
From enterprise architecture to spec-driven AI automation, we start at the stage that fits: a prototype to prove the approach, an MVP to prove it in use, or a complete solution ready to operate at scale.
Test the approach against a focused use case, then agree whether it earns an MVP.
Build the essential workflows, integrations and controls, proven in use before scaling.
Extend the architecture, validate readiness and hand over for operation at scale.
A focused 15-minute conversation about your challenge. No pitch, just an honest view on where to start.
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