# Livo Assistant - AI Quality Assurance: Anomaly Detection Across Every Process
Source: https://livoassistant.com/

Livo Assistant builds on-premise AI for quality assurance: digitize records, search every document, and detect anomalies across every process and every record — including quality control reviews — so nothing slips through.

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Livo Assistant - AI Quality Assurance: Anomaly Detection Across Every Process

AI FOR QUALITY ASSURANCE

# AI Quality Assurance for Every Process.

One stack that digitizes records, searches every document, and flags anomalies across finance, operations, compliance, and pharma — with a full audit trail whenever you need one.

[Talk to a founder → ](https://livoassistant.com/#contact)

Your Live Quality Stack

01

Digitize

02

Search

03

Detect

04

Report

LAYER 01

#### Turn physical records into structured data

High-accuracy OCR and classification across scans, PDFs, and handwritten documents.

OCR at scale Auto-classify

Free Readiness guides for forensic, pharma, statutory, capital-project, and internal audit. [Browse the guides → ](https://livoassistant.com/resources)

100%

On-Premise / Private-Cloud Deployment

4–6 Weeks

Avg. Time to First Pilot Live

5

Processes Covered: Finance, Compliance, Pharma, Infrastructure & Audit

CLIENT VOICES

## Live in production, _not just pitched. _

Real deployments across finance, government audit, and microfinance — running on live client data today.

### ASPR & Co

AI Invoice & Document Processing

"The volume of documents we were processing by hand every month was unsustainable. Livo built something that handles all of it automatically, and our team now spends their time on actual advisory work instead of data entry."

— Chartered Accountants

Seconds

Per Invoice Processed

Live

In Production

Invoicing Anomaly Flags On-Prem

### BCL Globiz

18-Module Accounting Platform

Full-stack platform for a Dubai accounting consultancy — OCR document processing, UAE payroll with SIF generation, VAT and Corporate Tax registration, IFRS audit reporting, dashboards, CRM, and a client portal, all live in production today.

— Accounting & Finance

18 Modules

Platform Scope

Live

In Production

Invoice OCR IFRS Reporting On-Prem

### Swastik Synergy

Payment Automation & Reporting

An automated WhatsApp and email payment-reminder system paired with a report-generation bot — replacing manual follow-up with structured, real-time visibility into outstanding payments.

— Operations

Automated

Payment Reminders

Live

In Production

WhatsApp Bot Auto Reports On-Prem

### Centre for Microfinance

WhatsApp Bookkeeping for SHGs

A WhatsApp chatbot that digitizes self-help-group bookkeeping — attendance, savings, and loan disbursement and repayment — replacing paper ledgers kept by lakhs of bookkeepers, now scaling from 50 to 1,000 SHGs.

— Microfinance / NGO

1,000 SHGs

Scaling To

Live

In Production

WhatsApp Bot Bookkeeping At Scale

### AG Office, UP

Document Intelligence for Welfare Audits

Agentic search across 1,270+ digitized contract and audit documents — natural-language Q&A that answers audit questions with citations back to the exact source record.

— Government Audit Body

1,270+

Documents Indexed

Live

In Production

Doc Search Citations On-Prem

PROOF

## Live in production.

AI Search Agent

Answers investigation questions instantly and cites the exact report and control-sample data behind every claim.

Client Management Dashboard

Live KYC and compliance status across every client, deployed in production at BCL Globiz.

SOLUTIONS

## Turn Physical Records Into Structured Data.

The entry point for every quality control review — OCR and voice transcription that turn paper, scans, PDFs, and call recordings into structured, queryable data.

SOLUTIONS

## Query Every Document Instantly.

Semantic search across compliance documents, batch records, and regulatory filings — find the evidence in seconds, not days.

SOLUTIONS

## Flag Anomalies Before Anyone Else Does.

AI agents and risk models surface the findings that matter — quality-control-relevant flags, risk-categorised entries, QC-ready output.

SOLUTIONS

## Generate the Quality Control Report.

Structured, auditable outputs built for the compliance calendars and reporting formats regulators actually expect.

[01]

### AI Invoice & Document Processing

Automatically extract, classify, and post data from invoices, purchase orders, and financial documents — eliminating manual data entry and reducing processing time from hours to seconds.

- OCR extraction from invoices, purchase orders, and financial documents with high accuracy
- Auto-classification and posting into accounting systems including Zoho Books, SAP, and Tally
- Handles scanned documents, PDFs, and image-based files in any format
- Structured output with validation flags for entries requiring human review

Zero Manual Entry Audit Trail Multi-Format

[02]

### Voice Transcription & Conversation Analytics

Transcribe and analyze thousands of customer calls at once to surface complaint patterns, risk language, and recurring pain-points — turning conversations into audit-ready evidence instead of anecdotes.

- Transcribes and structures call recordings across contact centers, branches, and field teams at scale
- Analyzes thousands of conversations simultaneously to flag risk language, mis-selling indicators, and compliance-relevant complaints
- Surfaces recurring customer pain-points and escalation triggers that manual call-sampling misses
- Deployed on-premise or in your cloud environment — call data never leaves your infrastructure

1000s of Calls Risk-Flagged Pain-Point Detection

[01]

### Document & Compliance Search

Make every compliance document, SOP, batch record, and regulatory filing instantly queryable, so your teams stop spending hours searching and start finding answers in seconds.

- Semantic search across all compliance and manufacturing documents
- Natural language queries over SOPs, batch records, deviation reports, and regulatory filings
- Deployed on-premise. Your documents never leave your infrastructure
- Works across formats: PDFs, scanned docs, and structured reports

Find Anything Instantly Quality-Control Ready On-Prem

[Talk to a founder → ](https://livoassistant.com/pharma)

[01]

### AI Agents for eTMF

Deploy AI agents across your electronic Trial Master File to surface the most relevant findings for QC audits, without your team manua lly reviewing hundreds of documents.

- Agents dispatched across eTMF documents to identify audit-relevant findings
- Structured output organized by document type, risk level, and regulatory relevance
- Dramatically reduces manual QC review time before inspections
- Full audit trail of agent findings linked back to source documents

Faster QC Reviews Inspection-Ready Source-Linked

[Talk to a founder → ](https://livoassistant.com/pharma)

[02]

### Tax & Payroll Automation

Automate TDS challan extraction from the Income Tax portal, convert payroll data with SIF file generation, and categorise P&L entries by risk — so your team focuses on advisory, not data wrangling.

- TDS challan and form extraction directly from the Income Tax portal
- Payroll data conversion with UAE SIF file generation for WPS compliance
- P&L entry risk categorisation to flag anomalies before audit
- Integrated with Zoho Books, Tally, and custom accounting systems

WPS Compliant Risk-Flagged Portal-Connected

[03]

### Full-Population Journal-Entry Testing

Test every journal entry against the risk criteria in SA 240 and PCAOB AS 2401, not a sample, and surface the entries an auditor needs to examine.

- 100% coverage of the general ledger, replacing judgemental and random sampling
- Risk criteria for back-dated and period-end entries, round amounts, rare account combinations, and unusual users
- Each flagged entry scored and linked to its source voucher and approval trail
- Deployed on-premise; ledger data never leaves your infrastructure

100% Coverage SA 240 / AS 2401 Source-Linked

[04]

### Related-Party & Network Analysis

Map the relationships between vendors, customers, employees, and directors to expose undisclosed related parties, shell entities, and circular fund flows.

- Graph analysis across shared addresses, bank accounts, phone numbers, and ownership
- Undisclosed related-party transactions flagged against the declared register
- Round-tripping and circular-payment chains traced across the ledger
- Findings exported as annotated network maps for the audit file

Entity Resolution Shell Detection Network Maps

[Talk to a founder → ](https://livoassistant.com/forensic)

[01]

### VAT & Corporate Tax Compliance

Manage UAE VAT and Corporate Tax registration workflows, maintain FTA compliance calendars, and generate IFRS-compliant audit reports — built for accounting firms operating in regulated environments.

- UAE VAT and Corporate Tax registration and filing workflows
- FTA compliance calendars with automated deadline and obligation tracking
- IFRS audit reporting suites with structured, auditable outputs
- Client portal for document submission, review, and status tracking

FTA Compliant IFRS Ready Client Portal

[02]

### Automated APQR Generation

Automatically compile Schedule M-compliant Annual Product Quality Reviews by pulling batch records, deviations, stability data, and complaints directly from source systems — turning a weeks-long manual compilation into a same-day report.

- Automatically aggregates batch review data, deviations, OOS/OOT results, stability studies, and complaint records for every commercialized product
- Generates Schedule M-compliant APQR documents formatted to the client's internal review structure
- Flags trends and anomalies across the review period for QA sign-off before submission
- Deployed on-premise — source manufacturing and quality data never leaves client infrastructure

Schedule M Compliant Quality-Control Ready On-Prem

[Talk to a founder → ](https://livoassistant.com/pharma)

[03]

### Working Papers & Audit Report Drafting

Turn fieldwork notes and flagged findings into structured working papers and a draft report, every statement linked to its source and left for auditor sign-off.

- Drafts working papers, findings memos, and management-letter points from the evidence
- Every assertion cited back to the source document or ledger entry
- Formatted to your firm's templates and the applicable reporting standard
- The auditor reviews and signs off; the system drafts, it does not conclude

Source-Cited Template-Ready Human Sign-Off

QUALITY CONTROL CONTEXTS WE COVER

## Built for Forensic, Financial, Pharma, Infrastructure, and Internal Audit

The same digitize-search-detect-report stack, purpose-configured for how each quality control type actually works.

Forensic Audit

Full-population anomaly detection, related-party and shell-entity network analysis, and investigative document search across financial records, contracts, and communications. Deployed on-premise, under NDA.

[Talk to a founder → ](https://livoassistant.com/forensic)

Pharma & Life Sciences

Compliance search, eTMF agents, and automated APQR generation for CDMOs and generics manufacturers. 21 CFR Part 11 compliant.

[Talk to a founder → ](https://livoassistant.com/pharma)

Accounting & Finance

OCR invoice extraction, TDS automation, payroll conversion, P&L risk flagging, full-population journal-entry testing, VAT/CT compliance workflows, and IFRS audit reporting. Built for CA firms and accounting consultancies across India and the UAE.

[Talk to a founder → ](https://livoassistant.com/accounting)

Infrastructure Audit

Site progress verification from satellite and drone imagery, full-population testing of running-account bills, contract and BOQ extraction, and procurement analytics. For government audit bodies, lenders, and developers.

[Talk to a founder → ](https://livoassistant.com/infrastructure)

Internal Audit

Full-population transaction testing, continuous control monitoring, risk-based audit planning, and working-paper drafting. Aligned to SA 240 and IIA Standard 2320, deployed on your infrastructure.

[Talk to a founder → ](https://livoassistant.com/internal-audit)

HOW WE WORK

## Three Steps. Zero Risk.

We start with two completely free steps so you know exactly what you're getting before committing a dollar.

01

### Free AI Workshop

We run a hands-on session with your team to identify high-value AI use cases in your organization. No sales pitch. Just strategic insights.

100% Free

02

### Free AI Roadmap

We deliver a strategic deck with prioritized recommendations, ROI estimates, and implementation timelines. Yours to keep, no strings attached.

100% Free

03

### Implementation

If you choose to proceed, we build the solution ourselves, or connect you with specialized partners for niche use cases. You're in control.

Your Decision

### Ready to Start?

Start with a free readiness guide, then a 30-minute call with a founder.

CASE STUDIES

## Proof of Work: Quality Control AI in Production

Two engagements across pharma and accounting — same stack, same approach: on-premise AI that digitizes records, flags anomalies, and generates quality-control-ready output.

### The Impact

Seconds

Any invoice or financial document processed and posted

Flagged

P&L anomalies caught before they reached audit

On-Prem

Client data stays inside the firm's infrastructure

CLIENT ASPR & Co · Chartered Accountants

### The Problem

ASPR & Co were processing hundreds of invoices and financial documents every month entirely by hand. Staff spent the bulk of their day on data entry into Tally and Zoho Books — extracting figures from PDFs, scanned challans, and emailed purchase orders before they could do any actual accounting work.

Worse, risk was invisible until it was too late: anomalous P&L entries surfaced only when an auditor found them, not before — leaving the firm reactive instead of ahead of the problem.

### The Solution

- Deployed AI Invoice & Document Processing to automatically extract, classify, and post data from all incoming financial documents into Tally and Zoho Books — the digitize stage
- Built Tax & Payroll Automation to pull TDS challans and forms directly from the Income Tax portal and flag P&L anomalies before they reached audit — the detect stage
- Also automated collections: WhatsApp and email reminder sequences with live ageing dashboards, so nothing fell through the cracks
- Deployed fully on-premise — client financial data never left the firm's own infrastructure

"The volume of documents we were processing by hand every month was unsustainable. Livo built something that handles all of it automatically, and our team now spends their time on actual advisory work instead of data entry."

ASPR & Co · Chartered Accountants

### The Impact

Seconds

Any compliance or manufacturing document surfaced on demand

10+ yrs

Of proprietary R&D data now searchable

Zero

Data left their infrastructure

CLIENT Leading CDMO, India

### The Problem

The client had accumulated over a decade of proprietary R&D data: formulation studies, stability reports, excipient compatibility data, clinical batch records, and regulatory submissions. This knowledge lived across shared drives, spreadsheets, and disconnected document management systems.

When formulation scientists began new drug development projects, they had no reliable way to query what the organization already knew. Teams were unknowingly duplicating studies, starting formulations from scratch when relevant historical data existed, and losing weeks to knowledge retrieval that should have taken minutes.

### The Solution

- Deployed an on-premise AI-powered search system over the client's entire R&D document corpus. No data left their infrastructure — the search stage
- Built a semantic search layer that understands pharmaceutical terminology, enabling natural language queries across formulation records, stability studies, and batch data
- Connected structured outputs with unstructured narrative reports so scientists get complete context, not just document links
- Implemented role-based access controls so proprietary client formulation data remained appropriately siloed
- Built automated Schedule M-compliant APQR generation, pulling batch, deviation, and stability data directly from source systems — the report stage

"We had years of formulation and compliance data that was effectively invisible to our teams. Livo built something that made all of it searchable in a way our scientists actually use every day."

Founder, Leading CDMO

WHAT CLIENTS SAY

## What Clients Say About Livo

"We had years of formulation and compliance data that was effectively invisible to our teams. Livo built something that made all of it searchable in a way our scientists actually use every day."

Founder

Leading CDMO, India

Document & Compliance Search

"The volume of documents we were processing by hand every month was unsustainable. Livo built something that handles all of it automatically, and our team now spends their time on actual advisory work instead of data entry."

ASPR & Co

Chartered Accountants

AI Invoice & Document Processing

WHAT WE'VE BUILT

## We Build for Your Use Case

Every project starts with understanding your specific workflow. We scope, build, and deploy from there — no templates, no guessing.

Leading CDMO Pharma

### R&D Knowledge Engine

On-premise semantic search over a decade of proprietary R&D data — formulation records, stability studies, batch records, and regulatory filings — making institutional knowledge instantly queryable.

BCL Globiz Accounting & Finance

### 18-Module Accounting Platform

Full-stack platform for a Dubai accounting consultancy: OCR document processing, UAE payroll with SIF generation, VAT and Corporate Tax registration workflows, IFRS audit reporting, management dashboards, CRM, and client portal.

ASPR & Co CA Firm

### Accounting Automation Platform

AI automation for a Bangalore CA firm: TDS challan extraction from the Income Tax portal, invoice OCR, payroll data conversion, P&L entry risk categorization, and Zoho Books integration for sales and purchase registers.

Swastik Synergy Operations

### Payment Automation & Reporting

Automated WhatsApp and email payment reminder system with a report generation bot, reducing manual follow-up and giving the team structured visibility into outstanding payments.

VALUE PROPOSITION

## Enterprise AI Without Enterprise Consulting Fees

Why pay six figures for discovery when you can get it free?

Aspect

Big Consulting Firms

Livo Assistant

Discovery/Workshop

$50K-150K

**Free **

Strategy/Roadmap

$100K-300K

**Free **(5-page deck)

Implementation

$500K-2M+

Competitive pricing

Timeline

6-18 months

Weeks to months

Team

Management consultants

Senior AI engineers

Start with zero risk. Get professional insights and a custom roadmap before spending a dollar.

TECHNICAL EDGE

## Built For Enterprise Reality

Not another API wrapper. Real systems built for scale, security, and accuracy.

#### On-Premise Deployment Available

Your data stays in your infrastructure. Full control over deployment environment and data residency.

#### DPDP Rules India (2025) Compliant

Data processing and storage of Indian citizens on India servers. Full compliance with Digital Personal Data Protection regulations.

#### GDPR Compliant

We build systems that meet GDPR requirements. Data privacy and protection by design.

QUESTIONS

## Quality Control AI: Questions We Get Asked

Specific answers to the questions audit firms, compliance teams, and enterprise leaders ask when evaluating AI for quality control.

Most quality control AI pilots go live in 4–6 weeks — covering ingestion of source documents (SOPs, batch records, financial filings, contracts), a semantic search layer your teams can query in natural language, and initial anomaly-flagging rules. Full enterprise rollouts with role-based access and system integration typically take 2–3 months.

The highest-ROI applications are: (1) digitizing and indexing physical records so nothing is missed; (2) semantic search across the full document set so auditors find precedent in seconds; (3) automated anomaly detection that surfaces quality-control-relevant findings before manual review; and (4) structured report generation. Firms using AI for the search-and-detect stages report significant drops in manual review time and missed findings.

The underlying detection stack is the same — pattern and outlier detection across structured and unstructured records — but what counts as an anomaly changes by context: unusual transaction patterns and contract terms in forensic audits, missing or inconsistent batch and eTMF records in pharma audits, and risk-flagged P&L entries in financial audits. We configure detection rules per quality control type rather than building separate systems.

Part 11 compliance requires electronic signatures, complete audit trails, and access controls built into the system from day one — not bolted on after. Every data entry, edit, and signature event must be logged with a time-stamped, attributable record. We build these controls into the core of every system we deploy.

Yes — and for most audit firms and their clients this is non-negotiable. We deploy all AI systems within your own infrastructure. No client records, financial documents, or regulatory filings are ever sent to external servers or third-party APIs. Sensitive client data stays siloed by design.

For a typical quality control corpus — financial filings, batch records, contracts, and regulatory submissions accumulated over a decade — ingestion and indexing takes days to a few weeks depending on volume and format. Once deployed, queries and anomaly scans across the full corpus return results in seconds.

A pilot scopes one use case — for example, anomaly detection across a single audit engagement's financial records — and can go live in 4–6 weeks. A full enterprise deployment covers your entire document corpus, integrates with existing case management, DMS, and ERP systems, implements role-based access, and takes 3–5 months. Most firms start with a pilot to validate ROI before scaling.

INSIGHTS

## From the Livo Blog

Practical guides on deploying AI in pharma and regulated industries, written by the team that builds these systems.

Forensic Audit August 2026

### Full-Population Testing in a Forensic Audit: What AI Changes

Sampling estimates the error rate in a normal process. Fraud is deliberate and concealed, which is why a sample tends to miss it.

6 min read [Read &rarr; ](https://livoassistant.com/blog/ai-forensic-audit-full-population-testing)

Internal Audit August 2026

### From Annual Sampling to Continuous Control Monitoring

Testing a sample once a year tells the audit committee what a control looked like months ago. Continuous monitoring flags the exception days after it happens.

5 min read [Read &rarr; ](https://livoassistant.com/blog/ai-continuous-control-monitoring-internal-audit)

Statutory Audit July 2026

### Full-Population Journal-Entry Testing and SA 240

SA 240 requires the auditor to test journal entries for the risk of management override. More audits now do this on the full population.

5 min read [Read &rarr; ](https://livoassistant.com/blog/ai-journal-entry-testing-sa-240)

[View All Posts → ](https://livoassistant.com/blog)

2026 Executive Program

## AI Leadership Cohort

An exclusive program for senior executives to master AI Safety & Compliance and Context Graphs for Enterprise Memory.

Who It's For

C-suite executives, VPs, and Directors responsible for AI strategy, compliance, or digital transformation initiatives.

Cohort Start

March 2026
Virtual sessions across 4 weeks

Module 1: AI Safety & Compliance

- Regulatory frameworks (EU AI Act, US Executive Orders)
- Enterprise risk assessment for AI deployments
- Building auditable, explainable AI systems

Module 2: Context Graphs for Enterprise Memory

- Knowledge graph architectures for organizational intelligence
- Connecting signals across conversations, docs, systems
- Building institutional memory that scales with AI

Exclusive Enrollment

5 Seats Only

Limited to ensure personalized attention and deep engagement

LEADERSHIP

## We bring experience guiding enterprises through end-to-end transformations

### Soumya Sharma

CEO

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

Soumya leads Livo's vision and strategy, drawing on a background that spans computer science at IIT Delhi, an MBA from IIM Ahmedabad, and a stint at McKinsey advising enterprise clients on strategy. Before co-founding Livo, he worked at a geospatial AI startup, where he saw firsthand how domain-specific AI could transform manual, judgment-heavy workflows — the same insight that led to Livo's focus on quality control.

[Connect on LinkedIn ↗ ](https://www.linkedin.com/in/rithn/)

### Kangana Pandiya

COO

Ex-McKinsey
IIM-Ahmedabad
Government Law College, LLB

Kangana drives Livo's go-to-market and client relationships, having spent time at McKinsey advising organizations across BFSI and pharma before co-founding Livo. An IIM Ahmedabad graduate with a law background from Government Law College, she brings a rare combination of commercial rigor and regulatory fluency to Livo's client engagements across India, the US, and the UAE.

[Connect on LinkedIn ↗ ](https://www.linkedin.com/in/kangana-pandiya/)

### Sushant Rathi

CTO

Ex-Tower Research
Ex-Glean
IIT-Delhi, Computer Science

Sushant leads Livo's engineering and product architecture, with a computer science degree from IIT Delhi and experience as a founding engineer at Glean, where he built infrastructure powering enterprise AI across secure data ingestion, enterprise-scale data processing, cloud infrastructure, and agentic AI systems. He also brings experience building high-performance systems at Tower Research, giving Livo a strong technical foundation for scalable enterprise auditing.

[Connect on LinkedIn ↗ ](https://www.linkedin.com/in/sushant-rathi-b84307156/)

### Dr. Anvita Pandiya

Pharma Advisor

Ex-Novartis
Ex-Eli Lilly
Grant Medical College, Mumbai

Dr. Anvita Pandiya is a seasoned GCP and quality assurance expert with a Six Sigma Green Belt and deep expertise in drug development, quality systems, and bioethics. She practiced as an anaesthesiologist and gynaecologist before moving into clinical research, spending over 30 years in senior quality roles at Novartis and Eli Lilly, auditing in 30+ countries. She is a published author on informed consent and ethics committees, and guest faculty at ICRI, AHERF, and THSTI.

[Connect on LinkedIn ↗ ](https://www.linkedin.com/in/anvita-pandiya-2b1b9a31/)

## Ready to Deploy?

Book a 30-minute discovery call. We'll identify your highest-ROI use case and map out an implementation plan.

Thank you! We'll reach out within 24 hours to schedule your discovery call.

Or [email us directly ](mailto:soumya@livoassistant.com)

## Get a Demo

Tell us a bit about yourself, then pick a time — 30 minutes with a founder.

## Pick a Time

Slots open up one week out to give us time to prep for your demo.
