On-premise AI for capital-project and procurement audit. Check physical progress against claims, test every running-account bill, and read every contract, for government audit bodies, project lenders, and developers.
One stack across the project-audit workflow: turn drawings, contracts, bills, and imagery into structured data, test it at full population, and produce findings that hold up in a review.
Check the physical state of a site against the schedule and the contractor's progress claims, without waiting for the next site visit.
Extract every rate, milestone, and obligation from the contract and bill of quantities, and hold each bill against them.
Test every running-account bill and measurement, not a sample, and surface the entries that warrant a closer look.
Analyse tender and award data across the portfolio to surface collusion and process failures.
Project fraud and leakage sit between the contract, the bill, and the site. Livo runs these checks across the full set of bills, contracts, and imagery in one pass.
Progress billed for that the imagery and site photos do not support, or milestones certified ahead of the physical work.
Quantities in the running-account bill that exceed what the drawings, BOQ, and measurement sheets justify.
Items paid at rates that deviate from the contract BOQ, and non-BOQ items slipped in without approved rate analysis.
The same work billed across two bills or two contractors, and payments split to stay under an approval limit.
Scope changes and extra items paid without a sanctioned variation order, and scope creep against the approved estimate.
Mobilisation and material advances that are not being recovered on the schedule the contract sets out.
Time overruns where the contract provides for liquidated damages that were never applied or were quietly waived.
Cover bids, rotation between a fixed set of bidders, and bidders linked by ownership or bank account across tenders.
Livo is engaged by government audit bodies, project lenders, and infrastructure owners. Engagements run under NDA and we do not disclose client names or projects. The illustrative capability figures on this page describe how the system works, not a specific client result.
We start with two completely free steps. Every engagement is under NDA and deployable fully on-premise before you commit a rupee or a dollar.
A focused session with your audit team, lender's engineers, or project controls leads to map where AI adds coverage, whether progress verification, bill testing, or procurement analytics, on the projects you actually oversee.
100% FreeA prioritized implementation plan with effort estimates, scoped to your project data, contract formats, and PMIS or ERP systems. Yours to keep with no obligation.
100% FreeWe build a working pilot on a real project's bills, contracts, and imagery, deployed inside your infrastructure, with full audit logging. You see the findings before you commit beyond the pilot scope.
Your DecisionBook your free workshop. Bring an audit lead, a lender's engineer, or your project controls team. We'll map exactly where AI adds coverage to your project oversight.
A project-audit finding has to survive challenge from the contractor and the sanctioning authority. Every system we deploy is built around evidence provenance, explainability, and the auditor's independence.
Deployed inside your data center or a private environment. Bills, contracts, drawings, and imagery are not sent to external servers or third-party APIs.
Every image is held with its source, capture date, sensor, and geotag. The chain from raw imagery to a progress finding is fully traceable.
Every document ingested, query run, and flag raised is logged with timestamp, user, and source hash for the audit file.
Each flag states why it fired and links to the bill, measurement sheet, contract clause, or image behind it. No black-box scores.
The system surfaces and ranks; it does not conclude. Every finding is reviewed and dispositioned by your team. The tool assists the audit, it does not form the opinion.
Personal data is handled in line with India's Digital Personal Data Protection Rules (2025) and the GDPR, with data residency configurable to the jurisdiction.
Every engagement begins under a mutual NDA before any data is shared or any system is accessed.
Connectors for existing PMIS, ERP, contract-management, and GIS systems. The AI layer sits on top of what you already run.
Site visits catch a sample. Project dashboards report what the contractor entered. Neither tests every bill against the ground. We do, on your infrastructure.
Start with zero risk. Get an infrastructure audit AI roadmap specific to the projects you oversee before committing a rupee or a dollar.
What government audit bodies, lenders, and owners want to know before bringing AI into project oversight.
We compare a time series of satellite and drone imagery, and any site photographs, against the project schedule and the progress claimed in the bill. Sentinel-class imagery covers site-level progress; commercial imagery and drone footage give building-level detail. The output is an independent read on whether the physical work matches what is being certified.
We combine sources. Where optical satellite passes are blocked, we fall back to drone footage, geotagged site photographs, and radar imagery. For dense urban sites we lean on higher-resolution commercial imagery and photo verification rather than 10m satellite tiles.
No. It tells your team which projects and which bills need a physical inspection, and gives the inspector an evidence pack before they travel. The final measurement and the audit opinion stay with your team.
Yes. The standard deployment is inside your infrastructure. Bills, contracts, drawings, and imagery are not sent to external servers or third-party APIs. Data residency is configurable to the jurisdiction of the project.
Typically 4–6 weeks. The AI configuration is quick once the data pipeline is clear; the longest step is usually securing the bills, contracts, and imagery archive and connecting to your PMIS or ERP.
Yes. Livo is engaged by government audit bodies, project lenders, and infrastructure owners. All engagements are under NDA and we do not disclose client names or the projects involved.
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
Book a 30-minute discovery call. We'll identify the highest-leverage use case on your projects, whether progress verification, bill testing, or procurement analytics, and map a clear implementation path.
Discover 3 high-leverage infrastructure audit AI use cases tailored to your projects: progress verification, bill testing, or procurement analytics. No cost. No commitment. Just clarity.
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