I help enterprises move past pilots — defining pragmatic AI strategy, engineering agentic and RAG platforms, and building the governance that makes AI safe to ship.
Pilots impress, then hit the real constraints: security, multi-tenant data isolation, auditability, cost control, and the question no one can answer — “can we trust what the model just did?” I close that gap.
Four areas I focus on to help leaders adopt AI with confidence — often together.
Translate C-suite goals into a pragmatic, sequenced AI roadmap with clear ROI and risk tiers.
Multi-agent, retrieval-augmented systems with orchestration, tool use, and routing that survive production.
Defense-in-depth tenant isolation, responsible-AI guardrails, and validation that treats AI output as a proposal — not fact.
Bring GenAI into the software lifecycle and modernize legacy estates into cloud-native, AI-native platforms.
Map organization goals, data, risk profile, and where AI creates real leverage.
Design a pragmatic, secure, vendor-neutral solution with governance baked in.
Ship in iterations, with human-in-the-loop checkpoints.
Monitor, control cost, and hand over with auditability and confidence.
Strategy informed by two decades of building real systems — not a deck handed off to someone else to implement.
Anjaneyullu Tamma (Tamma) is a technology executive with 25+ years leading enterprise architecture and AI transformation. More about Tamma →
A masterful enterprise architect who designed and integrated one of the most complex information ecosystems I’ve seen… As AI transformed our industry, he embraced it early, incorporated it into faster development cycles, and prepared his team for the changes ahead — all while staying mindful of the complex cybersecurity and privacy requirements inherent in business aviation. Tamma would make an excellent Vice President of Enterprise Applications in any sector.
I cannot say enough good things about Tamma. He helped make my dream come true: to create an integration technology that truly hides all the technical details behind the scenes… Besides being the best technologist on the planet, Tamma is a kind, brilliant human being that I am honored to know and call a friend.
An exceptional technology leader who has built and maintained a world-class development organization — one of the smartest and hardest-working leaders I’ve ever worked with. He drives his teams to deliver high-quality, customer-focused solutions.
I give my highest professional recommendation to Tamma. Since day one, he knew what needed to be done and shared his vision openly with the team… He has a deep understanding of data — and of planning, designing, and implementing it accordingly across many different business processes.
An extremely sharp, intelligent problem solver who gets the job done. When it comes to connecting systems, data, or moving information, Tamma can make “magic” happen. He has great integrity and can be trusted in any situation — and approaches his work with contagious passion.
I worked with Tamma on several projects and it was a pleasure to team up with someone who is very smart, with good ideas and, above all, a great team player.
I’ve worked with many engineers and architects over the past 20 years, and it’s with great confidence that I place Tamma in my top 5… an exceptional problem solver who considers the business impacts of solutions he designs. Most importantly, Tamma can be trusted to get the job done.
One of the best engineers, colleagues, and friends I have worked with. He designed, developed, tested, and documented state-of-the-art aerospace mechanisms, and transferred the technology to the production agencies — a very hard worker who never gives up until the results are to his satisfaction. As a colleague and his junior, I learned a great deal from him. Even after almost a decade, I still cherish his friendship.
Seven layers, structural and behavioral first principles, and six governance domains — a vendor-neutral blueprint for trustworthy, enterprise-ready AI.
CHECKLISTPressure-test whether your AI is safe to put into production across seven control areas.
If any of this resonates, I’m always glad to compare notes — reach out any time.