How UPRRDA achieved 95/100 quality on Package 6152.

Quality assurance built on tally sheets and trust.

UPRRDA's mandate covers thousands of kilometres of rural road construction across Uttar Pradesh under the PMGSY programme — work delivered by hundreds of contractors and inspected by a finite team of site engineers. The system that scaled this work was paper-based: manual tally sheets for roller passes, subjective visual inspections for cement spread quality, and post-construction certification that could not retrospectively verify what happened during layer construction.

By the time a quality defect surfaced — typically through pavement failure 12–18 months after handover — the contractor had moved on, the responsible inspector had rotated, and the evidence chain to assign accountability did not exist. Disputes were unresolvable. Rework costs were borne by the public exchequer.

• Manual roller pass tallying — no chainage-level verification, no audit evidence
• Subjective spread quality assessment — disputes between contractor and inspector
• No baseline survey methodology — pre-construction conditions not documented
• Post-construction defects untraceable to construction-phase decisions
• Inspector-to-package ratio made comprehensive coverage impossible

End-to-end monitoring across all three construction phases.

Cognecto deployed its full Highway solution stack across Package 6152 — covering pre-construction baseline survey, real-time construction monitoring, and post-construction condition assessment. The deployment used existing site cameras and standard GPS-enabled telematics on equipment, with the Cortex knowledge graph linking every observation to the BOQ line item it verified.

Real-time AI alerts enabled same-day corrective action — Package 6152 became a working example of how technology can redefine quality control in public infrastructure delivery.

A new standard for public infrastructure governance.

The outcome on Package 6152 was measurable across quality, transparency, and accountability dimensions — but the larger impact was structural. UPRRDA now has a documented methodology for evidence-based monitoring that can scale across every package, every district, and every state RRDA. The model became a reference point for what AI-led quality assurance looks like at PMGSY scale.