Ayush Raut

Most companies don’t struggle with AI ideas. They struggle to make them real. They run pilots. They test models. They explore use cases. But when it comes to production? Adoption slows. Integration gets complex. Value never fully shows up. That’s where Applied AI Consulting comes in. We help companies of all sizes (small, mid-sized and enterprise teams ) take AI from: → POC to production → Experiments to real workflows → Ideas to measurable business impact What we actually do We work with business and technology teams to identify high-impact use cases and get them live fast. Not in months. In weeks. Our focus is simple: → Build AI that gets used → Integrate into real workflows → Deliver outcomes teams care about Typical use cases we deploy across Marketing, Sales, Support, SRE/DevOps, Product Engineering , Cloud and Finance: → AI-driven sales workflows to improve deal velocity → Customer support automation that reduces ticket volume → Internal copilots for DevOps, CloudOps, and business teams → Data-driven assistants for reporting and decision-making How we do it → We use our internal accelerator: GTAF (Generative Task Automation Framework) A structured system of agents, workflows, and guardrails that allows us to: - Move faster from idea to deployment - Ensure governance and control - Reuse patterns across use cases - Reduce risk while scaling adoption What makes this different - Most AI efforts fail after the demo. We focus on: → Real usage → Real adoption → Real outcomes Not just prototypes. Engagement model We typically start with: → One high-impact use case → Delivered into production in weeks → With measurable outcomes Then scale across the organization. If you’re exploring AI And want it to actually drive value, not just experimentation Let’s talk.