Building the decision
infrastructure layer for
mid-market enterprises.
Three decades running technology for Fortune 500s, a top-3 Indian private bank and SE Asia manufacturers. Now closing decision latency for the mid-market.
The pattern I've seen across every enterprise
Most organisations' systems can't execute the strategy they already have. Data exists. Dashboards exist. The tools exist. Execution breaks.
The gap is between strategy and the systems built to carry it.
I've seen it in manufacturing in SE Asia, banking at scale in India, managed services in the US, and logistics. It's a decision infrastructure problem. The mid-market ($10M to $500M in revenue) is where it's most acute and most under-served. Enterprise SaaS is built for the Fortune 500. The mid-market inherits the complexity without the resources to manage it.
That structural gap is why I started IntelliconnectQ. Systems that close the loop between a decision and the action that carries it out, running in production, compounding over time.
Previously: VP & Head of Technology Strategy at India's 3rd largest private bank (2015), leading Big Data, ML, cloud modernisation, and enterprise automation at scale. Before that: technology leadership across Fortune 500s and high-growth companies in the US, India, and SE Asia.
What I'm building
IntelliconnectQ is the primary vehicle. The products below are either built and live, in active beta, or in build as equity ventures. Each one is part of the same decision infrastructure thesis.
Decision infrastructure for enterprise operations: AI agents, real-time BI, and automation systems for mid-market manufacturers, distributors, logistics operators, and managed services providers. Most tools stop at a signal, leaving teams days to act on it. We close that gap: agents that carry the decision through to execution.
OpsGrid is decision infrastructure for mid-market manufacturers, distributors, and logistics operators on Dynamics 365 Business Central. Governed decision agents monitor BC continuously, surface ranked operational risks to named owners in Microsoft Teams, and execute approved actions with a full audit trail. Nothing posts to BC without explicit approval. That is an architectural constraint, not a policy setting. Decision latency costs $800K–$2.4M per year for a $50M operation. OpsGrid closes it.
Signal. Route. Approve. Execute. Audit.
"We were spending two to three days chasing down decisions that should have been made in the morning. The first week on OpsGrid, three of those decisions arrived in Teams before I had my coffee."
VP Operations, Mid-Market Distributor (US) · Beta participant
Also built and operated
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Teams ask the ERP a question in chat and get the answer in plain language, from any device. Live for a mid-market manufacturer on a custom ERP.
intelliconnectq.com/askops -
Buyer portal, sales queue, factory queue and procurement planning for FMCG distributors and manufacturers. Phase 1 runs in production.
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Ask your company's WikiJS knowledge base a question from a browser tab. Self-hosted, Apache 2.0, $0 a month, live at multiple client sites.
intelliconnectq.com/qhub -
A logistics aggregator for South Asia. IntelliconnectQ is technology partner and shareholder, building the agentic shipment and carrier layer.
Selected writing
Practitioner perspectives on AI agents, operational intelligence, and decision infrastructure. Published at IntelliconnectQ Insights.
Five free tools for operations and finance leaders
Built at IntelliconnectQ and hosted there. The calculators and the template run in your browser and store nothing. The diagnostic asks for an email only to unlock its stage breakdown.
Twelve questions, three minutes. Scores the five stages a decision passes through between your ERP and an executed action: Signal, Route, Approve, Execute, Audit. The total score is free.
Nets expedite, stockout or late purchase order savings against Copilot Credit spend and rework, then grades whether finance would accept the claim.
Set how many approvals one person reads properly in a day. Enter your volume and approvers to see how far the queue runs over and what share of volume must clear without a human.
Write the post-mortem of your first agent failure before launch. Ten sections: decision owner, approval queue, money, detection, stop rule, undo path and finance sign-off. Copy it, no email.
Twelve questions across five sections to answer before an AI deployment goes live: decision ownership, workflow integration, audit trail, data foundation and success metrics.
Questions I'm working through with ops leaders
- What does it take to move from 47% OTIF to 97% without a 6-month ERP overhaul?
- Where does AI actually shift the margin math for a $50M manufacturer, not in theory, in the P&L?
- How do you make the case for decision infrastructure to a board that only ever sees the AI demo?
- Why 83% of supply chain AI investments don't translate to operational results, and what the operating model has to do with it.
If any of these are live questions for you, I'd like the conversation. They're the same problems we're building against right now.
Start a conversationGet in touch
If you're an operations leader whose systems are slowing you down, let's talk. If you're an investor aligned with execution-led value creation, let's talk. If you're a builder who wants to work on problems at scale, let's talk.