Let's Transform Your Business with AI

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Shivanath Devinarayanan

I help organizations like yours use AI and automation to drive growth and efficiency. Together, we'll implement intelligent solutions that deliver business value.

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Challenges You Might Be Facing

1 You're unsure where to start with AI implementation Learn about our data optimization services
2 Previous automation attempts have disrupted your workflows Learn about our data optimization services
3 You're not seeing clear returns on AI investments Learn about our data optimization services
4 Data quality issues are holding back your AI initiatives Learn about our data optimization services

My Approach to Your Success

1 AI Readiness Assessment

List the work, the systems, and whether each step has an API or only a screen. MIT NANDA found 95% of public generative-AI pilots fail to show business value. A March 2026 survey found 78% of enterprises have an agent pilot and 14% have scaled one. The assessment is which side of that gap you are on.

2 Operating model, not a tool list

Delegate, Review, Own before you pick Claude, Codex, or Agentforce. Structured work gets MCP and connectors. Long-tail portal work may need computer use. Either path needs identity, a reviewer, and a stop button. The EU AI Act's Article 14 lists five human-oversight capabilities for high-risk systems. Most teams cannot name the owner of one.

3 Guided implementation

Ship one production agent with a registry entry, an audit trail, and a named reviewer. Wiley published 40% faster case resolution in the first weeks of Agentforce, with humans kept on complex work. Barco published 100% API compliance across five agent networks. The pattern is the same: volume to the agent, judgment to the person.

When is the interface the API?

OpenAI said Codex can see, click, and type across apps, with multiple agents in parallel on a Mac. Anthropic shipped computer use in Cowork and Claude Code as a research preview. GPT-5.4 is framed as a general-purpose model with native computer use, reporting 75.0% on OSWorld-Verified against a 72.4% human baseline. Treat vendor benchmarks as vendor benchmarks. The direction is still clear: the screen itself is becoming executable.

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