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FORENSIC INTELLIGENCE & AUDIT ANALYTICS

Find Evidence Faster. Surface Risk Before It Surfaces You.

We build AI systems that help auditors quickly identify evidence, detect risky behavior, and surface suspicious activity — across millions of transactions and documents.

See How It Works →
500+
Man-hours saved monthly
98%
Classification accuracy
75%
Faster audit delivery
On-Prem
Your data never leaves your walls

Four AI Systems. Built for Forensic Audit.

Purpose-built for the data challenges that slow down auditors, investigators, and compliance teams.

[01]

Anomaly & Fraud Detection

Analyze large volumes of structured and unstructured data to auto-identify behaviors and patterns that indicate fraud or misconduct.

  • Scan millions of transactions for outliers, duplicates, and unusual patterns
  • Detect statistical anomalies across journal entries, vendor payments, and expense claims
  • Surface Benford's Law violations and other forensic indicators automatically
  • Prioritize findings by risk score so investigators focus on what matters most
Find Faster Miss Nothing Prioritize Risk
Financial Audit Fraud Investigation Internal Audit
[02]

Entity Risk Profiling

Flag high-risk entities, vendors, employees, and counterparties by connecting signals across disparate data sources into a unified risk picture.

  • Build entity graphs linking vendors, employees, bank accounts, and addresses
  • Identify related-party transactions and undisclosed relationships
  • Cross-reference internal records with external databases and watchlists
  • Score and rank entities by composite risk across multiple dimensions
See Relationships Spot Collusion Audit Confidently
Vendor Due Diligence Related Party AML
[03]

Transaction Pattern Analysis

Surface suspicious activity patterns hidden across complex transaction networks — structuring, layering, round-tripping, and approval bypass.

  • Detect structuring, smurfing, and threshold avoidance patterns
  • Identify round-trip transactions and circular fund flows
  • Analyze approval workflows for segregation of duties violations
  • Map transaction chains across multiple entities and time periods
Trace Funds Detect Schemes Build Cases
Financial Crime Procurement Fraud Compliance
[04]

Audit Trail Intelligence

Link every finding back to its source data — creating defensible, traceable audit reports that hold up to scrutiny in court or regulatory review.

  • Automatically generate evidence packages with source citations
  • Query unstructured documents — emails, contracts, memos — with natural language
  • Classify and tag documents by relevance and risk level
  • Export structured findings with full chain-of-custody documentation
Defensible Evidence Full Traceability Report Faster
Litigation Support Regulatory Review Big 4 Audit

From Manual Document Review to AI-Powered Audit Intelligence

How a leading accounting firm cut audit delivery time by 75% and saved over 500 man-hours monthly

CLIENT Leading Indian Accounting & Audit Firm

The Problem

The firm's forensic and audit teams were spending the majority of their time on manual document review — reading through thousands of invoices, contracts, bank statements, and correspondence to identify relevant evidence. Highly trained forensic accountants were doing work that should have been automated.

The manual process created bottlenecks on large engagements, increased the risk of missing critical evidence buried in high volumes of documents, and made it nearly impossible to meet tight regulatory or litigation deadlines.

The Solution

  • Deployed an AI document intelligence system that automatically classifies, extracts, and indexes evidence from invoices, contracts, emails, and financial statements
  • Built anomaly detection across structured financial data to flag transactions warranting further investigation before manual review
  • Created a natural language query interface so investigators could ask questions like "find all payments to this vendor above threshold in Q3" instantly
  • Implemented a full evidence trail linking AI-flagged findings back to source documents with timestamps and access logs

The Impact

500+
Man-Hours Saved Monthly
75%
Faster Audit Delivery
98%
Document Classification Accuracy

Audit teams are sitting on massive volumes of evidence that no one can effectively search. The bottleneck is never the auditor's judgment — it's the time it takes to find the right document at the right moment.

— Soumya Sharma, Co-Founder, Livo.AI

Three Steps. Zero Risk. Full Data Security.

We start with two completely free steps. Every engagement is under NDA and can be deployed fully on-premise before you commit a rupee.

01

Free Audit AI Workshop

A focused session with your forensic or audit team to identify the highest-value AI use cases in your current engagements. We bring audit-specific frameworks. No sales pitch — just strategic clarity.

100% Free
02

Free AI Roadmap

We deliver a prioritized roadmap with ROI estimates specific to your team size, engagement types, and data volumes. Yours to keep with no obligation.

100% Free
03

Pilot on Your Data

We build a working pilot on your actual engagement data, deployed inside your infrastructure. You see results before you sign anything beyond the pilot scope.

Your Decision

Ready to See What Your Data Can Surface?

Book your free workshop. Bring your forensic lead, your audit manager, or your compliance director — we'll map exactly where AI creates the highest impact for your team.

Built for the Sensitivity of Forensic Engagements

Audit data is among the most sensitive information an organization holds. Every system we deploy is designed to keep client data, evidence, and findings inside your controlled environment.

🔒

On-Premise Deployment

Client financial data, evidence, and investigation findings never touch a cloud environment. Full deployment inside your data center or private network. We bring the system to your data — not the other way around.

🔐

Role-Based Access Controls

Granular permissions ensure team members only access data relevant to their engagement. Client data is siloed. Evidence packages are access-controlled. Full audit logs on every data interaction.

📋

Chain of Custody Documentation

Every AI-flagged finding is traceable back to its source document with timestamp and access logs. Designed to withstand scrutiny in court, regulatory review, or client dispute resolution.

Data Integrity Principles

Evidence handling designed around forensic data integrity requirements — no modification of source data, complete audit trails, and tamper-evident logging for all system interactions.

🇮🇳

DPDP Rules India (2025) Compliant

Data processing and storage of Indian citizens on India servers. Full compliance with India's Digital Personal Data Protection Act — critical for engagements involving personal financial or employee data.

🌐

GDPR Compliant

Privacy and data protection by design for audit firms handling cross-border engagements, international client data, or evidence from European operations.

Forensic AI Expertise Without the Big 4 Price Tag

Forensic AI is a specialized capability. Most AI vendors don't understand audit workflows. Most audit firms don't have AI engineers. We sit at the intersection.

Aspect
Generic Analytics / Big 4 AI
Livo.AI for Forensic Audit
Forensic Domain Knowledge
Generic data analytics tools
Built from day one for audit and investigation
Data Security
Cloud-hosted, SaaS platforms
On-premise by default
Discovery Workshop
₹25L–₹1Cr
Free
Pilot to Production
6–18 months
4–12 weeks
Team
Junior analysts with templates
Senior AI engineers who've shipped forensic systems
Evidence Traceability
Manual documentation
Automatic chain-of-custody for every finding

Start with zero risk. Get a forensic AI roadmap specific to your team's workflows before committing a rupee.

Questions Audit Leaders Ask Us

Everything you need to know before bringing AI into a forensic or audit environment.

Every system we build is deployable fully on-premise within your firm's infrastructure. Client data never leaves your controlled environment. We work under NDA from the first conversation. For multi-client environments, we implement strict data siloing with role-based access controls so no data from one engagement is accessible to another team.

Yes. Our document intelligence systems are built to scale across millions of documents — scanned PDFs, emails, spreadsheets, handwritten notes, and mixed-format archives. We've processed document sets from single-digit thousands to multi-million document repositories. Volume is a constraint we engineer around, not a limitation.

We design systems with forensic defensibility in mind. Every AI-flagged finding is linked directly to its source document with full metadata — timestamps, access logs, and chain-of-custody documentation. The AI surfaces evidence; your forensic accountants validate and interpret it. The human judgment layer remains with your team throughout.

We work with any data format you have — ERP exports (SAP, Oracle, Tally), bank statements, scanned documents, email archives, spreadsheets, and structured databases. We build custom connectors to your specific systems. The messier and more heterogeneous your data, the more value our system creates relative to manual review.

For document classification and extraction use cases, we can have a working system processing your data in 2–4 weeks. Anomaly detection and pattern analysis systems typically take 4–8 weeks depending on data complexity. We understand that forensic engagements have deadlines — speed of deployment is something we take seriously.

We work across financial services, manufacturing, real estate, government, and retail. Engagement types include fraud investigations, regulatory inquiries, internal audit transformation, due diligence, and litigation support. We've worked with accounting firms, internal audit teams, and corporate investigation units.

We bring McKinsey-grade strategy with senior AI engineering execution

Soumya Sharma - Co-Founder

Soumya Sharma

Co-Founder

Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science

Kangana Pandiya - Co-Founder

Kangana Pandiya

Co-Founder

Ex-McKinsey
IIM-Ahmedabad

Let's Map Your Audit AI Opportunity

Book a 30-minute discovery call with our team. We'll identify your highest-ROI use case — whether it's document classification, anomaly detection, entity risk profiling, or audit trail intelligence — and map out a secure implementation path.