Enterprise Architecture
Sajiv Francis
An enterprise architect connecting business strategy to data, applications, technology, and AI to deliver measurable business outcomes. Currently leading architecture across a Fortune 100 multi-instance S/4HANA finance transformation and four enterprise AI programs, governed end to end.
The premise of this site: AI is changing what technology leadership looks like. The leaders who emerge from this shift will connect strategy, architecture, and working systems rather than delegate the last mile. I write, architect, and build accordingly.
TOGAF 10 · Stanford AI-Driven Leadership · Columbia Applied Data Science
Architecture at Enterprise Scale
The value isn't in any one domain. It's in the connections: knowing how a change in one propagates through the others.
- Business
Capabilities, operating models, and transformation priorities: the problems architecture exists to serve.
- Data
Governed platforms and AI-ready data that turn information into faster, trusted decisions.
- Applications
ERP and enterprise application estates: S/4HANA transformation, integration, rationalization.
- Technology
Cloud, platforms, and integration strategy with cost, resilience, and standards under control.
- AI
Generative and agentic systems adopted with governance, observability, and measured economics.
What Architecture Makes Possible
- 5 → 3 days month-end close after a general-ledger transformation
- 30-40% faster delivery through cross-functional flash teams, without added headcount
- 10K+ users served by a governed enterprise analytics platform
- −35% critical-incident resolution time under post-go-live governance
- Token ROI AI economics reported at executive level, with LLM observability tied to TCO
Recent Writing
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