AI Strategy · Enterprise Architecture · AI Governance
Srinivasa Raghavan Alwar
To elevate the potential of our social construct via technology.
AIActTPro™
Claude Certified AI Architect
TOGAF® 9.2
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Strategist, architect, and governance professional — three lenses I bring to the same problem: making AI valuable, buildable, and safe.
I set the direction — business and AI strategy for org growth and tech effectiveness, shaped by a seat on CEPS' Apply AI Strategy Task Force for Europe.
I turn strategy into structure — TOGAF's Business, Data, Application & Technology layers, extended for AI as a Claude Certified Architect, so it's built to scale.
I build the safeguard — EU AI Act certified, a contributor to the Act itself, devising governance frameworks that scale across the enterprise.
Operating at the intersection of business, product, and technology — backed by 17 years of experience, rigorous enterprise architecture, and deep regulatory trust.
I find where AI creates value — and prove it by building.
From a funded prototype to an enterprise platform, and a customer-facing forecasting product where the model narrates and a proprietary engine computes.
I make it safe to build — governance embedded at the architecture stage, not retrofitted.
EU AI Act obligations designed into the system from day one — Compliance-by-Design, now a portfolio-wide governance standard. Contributor to the European Commission's Article 50 draft guidelines; member, CEPS Apply AI Strategy Task Force.
I equip every team to deliver it — mentoring, tooling, and workflow redesign that sticks.
PULSE — an agentic spec pipeline (transcript → requirements → specs) — and a mentoring practice that earned the name "AI Therapist".
Innovation without governance is reckless. Technology without human development is empty. I hold both, at once.
17 years of industry experience, anchored by the last 11 years specializing in enterprise consulting and applied-AI product leadership across regulated European markets.
Deep enough in every domain to drive execution — and positioned exactly at the intersection, where AI strategy actually turns into working systems.
Building agentic systems that ship — not just demos.
Architecting production platforms where models narrate and specialised engines compute, with evaluation and observability built in from the start.
Rigorous enterprise architecture that treats compliance as a design constraint, not an afterthought.
TOGAF-grounded architecture practice, risk classification frameworks, and Compliance-by-Design under the EU AI Act.
17 years of client-facing consulting across regulated, high-stakes industry.
Executive advisory, ERP/CPQ/CRM transformation, and deep domain expertise across automotive and aerospace.
Most people are strong in one of these. I operate at the intersection of all three — which is where AI strategy actually turns into scalable, safe enterprise blueprints.
That intersection is the whole value proposition.
Selected outcomes from 17 years of enterprise consulting and applied-AI product leadership.
Conceived, designed, and spearheaded an enterprise GenAI platform
Two reference implementations (PDLC + PMO) triggered full production funding. Awarded the President's Award, H2 2025.
A practitioner seat at the table shaping how the EU AI Act gets applied.
Contributor to the European Commission AI Office's Article 50 draft guidelines; member, CEPS Apply AI Strategy Task Force (Automotive & Mobility), report due Feb 2027.
Recognised from the shop floor to the boardroom.
President's Award (H2 2025) for strategic impact; Above and Beyond Award from Infosys for building the CPQ Center of Excellence.
Systems built to outlast the person who built them.
Simulation Tool's agentic architecture, PULSE's transcript-to-spec pipeline, and Compliance-by-Design are now adopted as standards well beyond their original team.
A public reference implementation, not just a framework on a slide.
A reference implementation for building AI products with Compliance-by-Design under the EU AI Act — turning governance obligations (risk classification, Article 50 transparency, technical documentation) into artifacts and patterns engineering teams can actually adopt at the architecture stage, not retrofit later.
From automating aircraft engineering pipelines to defining EU-level AI strategy — always at the point where a system meets the people who depend on it.
Whether it's AI strategy, enterprise architecture, or building the team that ships it — I'm glad to talk it through.