Your AI Agent Passed the Demo. It's Still Not Ready for Production
88% of AI agent pilots stall before production due to flawed evaluation. Here is what quality engineering for agentic AI looks like in 2026.
Blueprints and engineering strategies for scaling enterprise AI from pilot to production.

88% of AI agent pilots stall before production due to flawed evaluation. Here is what quality engineering for agentic AI looks like in 2026.

Close the GCC ownership gap in 2026. Empower Indian capability centers with strategic decision-making and budget autonomy.

Most enterprise multi-agent AI systems fail not because the individual agents are bad, but because the orchestration layer was never designed. Here are the 6 architecture failures causing production breakdowns in 2026.

Legacy technical debt consumes 40 to 50% of enterprise IT budgets in 2026. Here are the 6 modernization failures keeping AI initiatives stuck on infrastructure built for a different era, and how to fix them.

Fix quality engineering pipelines for AI-generated code. 6 QE failures letting LLM-authored defects reach production.

RPA vs Agentic Automation: 6 decision criteria to choose the right workflow automation model for enterprise processes.

Most enterprise AI projects fail on data, not models. Here are the 6 data foundation failures blocking AI ROI in 2026 and how to fix them.

Most healthcare AI agents never leave the pilot. The failures are not model accuracy problems — they are clinical workflow design failures. Here are the 6 that most health-tech teams miss and how to fix them before deployment.

What does a GCC in India actually cost to stand up in 2026? Incorporation, office, IT, hiring, payroll, compliance, and the hidden line items that quietly double the budget. A line-by-line year-one breakdown built from delivered captives, not vendor ballparks.
No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.
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