Product & Tech
Murtaza Bootwala
Amazon, TrueLayer, PwC; IITB and INSEAD.
Murtaza shapes the operating logic behind ZapSight systems: where the signal lives, what decision it should change, and how the build survives production data.
ZapSightThe Lab
How ambient intelligence becomes operational
The method is not a platform configuration. It is a structured build process for one operation, one failure mode, and one measurable result.
100+Reports Automated
3,000+Sites Read
40+Leaders Enabled
Always-OnAmbient Intelligence
The Framework
The Ambient Operating Model
01
Signal Catalogue
A structured map of the operational signals that predict cost, delay, leakage, downtime, and reputational risk before teams escalate them.
Shift LogsSAP QueuesPLC SignalsClaims NotesPOS EventsAsset Readings
02
Failure-Mode Map
A live model of where the operation breaks, who feels it first, which signal proves it, and what action should happen before the meeting starts.
Root CausesException PathsDecision PointsControl Limits
03
Ambient Build Loop
A delivery loop that turns the map into a system that reads, senses, acts, and proves itself against production evidence.
ReadSenseActProve
Who built the method
The Lab is led by operators, not commentators
The Ambient Operating Model comes from building systems across enterprise deployments where the buyer needed proof, not vocabulary.
Revenue & Sales
Pavan Sathiraju
McKinsey, MuSigma; NIT Rourkela and INSEAD.
Pavan anchors the methodology in boardroom evidence: which number leadership will challenge, where adoption will stall, and how the work proves commercial value.
Methodology
How the system grows from inside the operation
ZapSight starts with the work as it actually happens. Then we build the intelligence around the signals, controls, and decision moments that already shape the result.
011 Week
Operational read
Capture the systems, queues, documents, handoffs, and informal judgments that already define the work.
021 Week
Signal isolation
Find the small set of signals that predict the failure before humans name it.
032–3 Weeks
Ambient build
Build the sensing, action, and oversight logic around the workflow it must survive.
041 Week
Production proof
Deploy against live exceptions and measure the number leadership already reviews.
05Ongoing
Sharpening
Tune the system as new patterns, exceptions, and operational behaviours appear.
Operational Domains
Where the model has to work
Omni-Channel Retail
Conversational commerce, sales enablement, and agentic visibility.
Manufacturing
Predictive maintenance, quality control, and production optimization.
Construction
Project management, resource planning, and safety compliance.
Furniture & Security
Inventory optimization, customer analytics, and monitoring.
Energy
Asset monitoring, outage prevention, energy variance, and operational efficiency.
Insurance & Finance
Claims processing, risk assessment, and fraud detection.
Bring the operating question your team keeps circling.
Show us the signals, the exception path, and the number that decides whether the work mattered.