Abinauv SelvarajSolutions Architect · AI Transformation
I draw the system before anyone writes the cheque.
Agent topology, data boundaries, human checkpoints, failure paths and the integration surface — specified, costed and sequenced. Then delivered into production with your team.
A system on a page, before a line of it is built.
Every engagement starts by drawing the thing: where data enters, which steps a model owns, where a human still signs, what happens when it fails, and which system of record has the last word.
Below is a reference pattern for exception handling — the shape most operations workflows take once they survive review.
A reference architecture for automated exception handling. Work arrives at an intake source and passes to an orchestrator, which fans out to three services: a classifier, a contract-term retrieval step, and a drafting agent. Their output goes to a human review queue, which is the approval gate, and only then writes back to the system of record through an ERP adapter. An evaluation gate runs at every hop, personally identifiable information never leaves the customer tenancy, and any release can be rolled back within one deployment.
One path, four gates
Each stage ends in an artefact you own and a go / no-go decision. You can stop at any gate.
Assess
Process inventory, data readiness, value ranking.
Architect
Topology, boundaries, evals, sequencing, cost model.
Pilot
One workflow live, instrumented, with rollback.
Scale
Platform patterns, enablement, review cadence.
Numbers with a source attached
Delivered outcomes from operations research and automation work, with the engagement each came from.
Systems that shipped
Optimization models, AI tooling and production software — each with the constraints it had to hold.
What sits underneath the architecture
The delivery surface the track draws on — modelling, applied AI, and the software that carries it.
Who I am
Abinauv Selvaraj is a solutions architect and technology consultant based in Chennai, India, working on AI transformation for operations teams — process automation, applied machine learning, and the mathematical optimization underneath. He holds an MSc in Business Analytics from Lancaster University (UK) and a BE in Mechanical Engineering from Anna University (India), with research in multicriteria optimization and a registered Indian design patent.
More background
Bring me the process you cannot staff your way out of.
Thirty minutes. You describe the workflow; I sketch the topology and tell you where it breaks.