Moving Enterprises Beyond Labor-Centric Operating Models
Murthy Malapaka — Executive Technology Strategist & AI Transformation Leader
I help enterprise leadership teams replace labor-centric operating models with AI-native ones — turning bold strategy into operational reality, one decision at a time.
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Breaking Barriers in IT Operations: How to Adopt AI Change Management
Forbes Technology Council. AI transformation is ultimately a people transformation — not just new technology.
View Articles →AI-Native Operating Model
A single-page model for aligning strategy, decision rights, talent, and technology before committing capital to AI transformation.
Read More →Intent Architecture: Why AI Adoption Keeps Producing Capability Without Outcomes
OpenAI's own enterprise ChatGPT data found no statistically significant link between messages or tokens per employee and revenue per employee. AIOps taught the same lesson a decade ago. Why AI transformation has to start with a measurable business outcome, not a technology initiative.
Read More →Recently published
Human Assurance in Practice: Turning Ticket Patterns Into a Board-Ready Cost Take-Out
Current-state intelligence run across three operations portfolios shows the same pattern: Eliminate and Automate capture the majority of ticket volume, MTTR compresses 85-96%, and ticket volume correlates directly with the business KPI leadership tracks.
AI-Native IT Operations: A Reference Architecture for Guaranteed Outcomes per Token Invested
Most AI-native IT operations efforts start with a vendor, a model, or an agent library — not an architecture. A reference architecture where current-state intelligence defines the target, elimination-led execution replaces labor, and SME assurance closes the loop back to intelligence.
What Autonomous Vehicle Remote Assist Teaches Us About Human Assurance in IT Operations
An Operational Design Domain defines where a system is trusted to act alone. Remote assist defines what happens at the edge of it. Why that handoff — not the boundary itself — is the more important half of building autonomous IT operations.
Helping enterprises operate differently in the age of AI
Transformation fails when strategy and operating model drift apart. My work keeps them tied together.
AI Transformation Strategy
Translating emerging AI capability into a coherent enterprise strategy — sequenced, funded, and tied to measurable business outcomes.
Operating Model Redesign
Redesigning how decisions, talent, and technology work together so the organization can absorb continuous change rather than resist it.
Executive Advisory
Working directly with CEOs, CIOs, and boards to build the judgment and governance needed to lead through disruption.
The future of enterprise transformation is not better automation. It is replacing labor-centric operating models with AI-native operating models.— Murthy Malapaka
Every operating model was once someone's bold assumption about how work should get done. The AI-native operating model is the next one — and the enterprises that design it deliberately will out-compete the ones that stumble into it by accident.
— Murthy Malapaka