I put AI into production.

03 / Cases

Years of siloed manuals, modelled as one graph.

Custom traversal algorithms rather than standard nearest-neighbour matching, built on Neo4j. Research that had taken weeks came back in seconds, and every answer could be traced.

Ashok took years of completely siloed technical manuals and modelled them into a single high-performance Neo4j graph. Our search times dropped dramatically and research that used to take weeks now returns in seconds with full traceability.

A support engine that knows who is calling.

A custom customer support engine built on ElevenLabs and IVR. The call flow carries the caller’s real-time data and context through MCPs to the LLM, improving the quality of both the responses and the conversation.

The voice engine Ashok built completely changed our inbound support flow. By routing real-time caller context through MCPs directly to the LLM, the system actually understands who is calling and handles high daily volumes smoothly across multiple languages.

Fifteen years of books, in one queryable graph.

Books spanning thousands of clients, documented and modelled, with a query interface built on top for compliance, anomaly detection, fraud detection and forecasting.

Modelling fifteen years of financial books across thousands of clients into a single queryable graph felt like an impossible task. Ashok delivered an architecture that transformed our compliance tracking, anomaly detection, and forecasting overnight.

Learning paths modelled on each student.

A coaching group working mostly in physical classrooms wanted a personalised learning app modelled around each student’s strengths and weaknesses, to improve their overall learning and rank.

We wanted to bring deep personalisation to physical classroom coaching without losing individual focus. Ashok modelled adaptive learning paths around each student's unique strengths and weaknesses, giving us measurable outcomes on student ranks.

A procurement agent that keeps the line stocked.

The agent picks up the bill of materials for new orders, in-house for future capacity and outside for client orders, then raises orders for the raw and packaging material required so stock is at capacity before production even starts.

The procurement agent Ashok built completely automated our raw material pipelines. It handles bills of materials effortlessly and ensures our stock is fully optimised across nearly ninety vendors before production even starts.

Route planning for a four thousand vehicle fleet.

A route planning agent for a logistics group with a fleet of over 4,000 vehicles across four geographies. Using open map and weather data, it plans and deploys the possible routes for each shipment while keeping insurance costs to a minimum.

Managing route planning for thousands of vehicles across multiple geographies used to be a massive operational bottleneck. Ashok's agent integration uses live map and weather data to lock down optimal routes while slashing our monthly operating costs.