Build the Intelligent Enterprise.
Avisha Global helps enterprises deploy AI securely, automate complex operations and build digital trust across data, applications and infrastructure.
AI is easy to experiment with.
Enterprise AI is hard to operationalize.
Avisha Global bridges the gap between AI experimentation and enterprise-scale deployment.
One enterprise. Three connected disciplines.
Avisha Global is built around AI Transformation, Digital Trust & Security, and Products & Platforms — not thirty unrelated technologies.
AI Transformation
- Strategy & AI Consulting
- Enterprise AI Agents
- Document & Process Automation
- Enterprise & Private AI
- AI Integration
- Managed AI Operations
Digital Trust
- DPDP Compliance
- Privacy & Consent
- AI Governance
- Data Governance
- Trust Seal
From AI strategy to production.
We help organizations identify automation opportunities, deploy AI agents responsibly, and run AI systems continuously — not just launch them once.
Discover
Map workflows, data and the highest-value automation opportunities.
Design
Architect the agent, model and integration approach for the use case.
Build
Engineer agents, RAG systems, copilots and automations.
Secure
Test and harden before anything touches production data.
Deploy
Ship into existing systems with proper access and change control.
Operate
Monitor, evaluate and continuously improve under Managed AI.
AI Consulting
Find the use cases worth building — and the ones to skip.
Enterprise AI Agents
Agents that act inside your systems with permissions and audit trails.
Document Intelligence
Structured data out of KYC packs, claims, invoices and contracts.
AI Process Automation
Multi-step approvals, reconciliation and intake — with human checkpoints.
Private AI
Models deployed inside your own cloud or on-premises boundary.
RAG Systems
Assistants grounded in your policies, manuals and records — not the open web.
AI Copilots
Role-specific copilots for ops, finance, support and compliance teams.
Managed AI Operations
Monitoring, evaluation, cost and security — after go-live.
Trust infrastructure for the AI economy.
As organizations process more personal data and deploy more AI systems, trust becomes infrastructure — not a policy document.
- Privacy management and DPDP compliance
- Consent management across products and channels
- Data governance and vendor risk
- AI governance with audit-ready evidence
Privacy
Manage personal data across its lifecycle.
DPDP
Readiness for India's data protection law.
Consent
Capture, honor and prove consent at scale.
Data Governance
Know what data you hold and why.
Vendor Risk
Assess third parties handling your data.
AI Governance
Policy and oversight for every model in use.
Security
Controls that protect trust commitments.
Audit & Evidence
Compliance evidence ready when you need it.
TRUST SEAL Assessed · 2026
Turn compliance into visible trust.
Organizations that complete a defined Avisha Global assessment programme may display the Avisha Trust Seal relevant to that programme — a visible signal of the work behind the scenes.
Privacy Ready
Privacy practices assessed against a defined standard.
Security Assessed
Security controls independently reviewed.
AI Governance Ready
AI oversight and policy practices in place.
DPDP Readiness
Readiness posture for DPDP obligations.
AI designed around industry workflows.
Purpose-built approaches for the sectors where AI, security and compliance intersect most.
Banks, NBFCs & Fintech
- Document automation
- Risk & DPDP
- Security
Healthcare Workflow AI
- Document intelligence
- Clinical workflows
- Privacy
Citizen & Governance Intelligence
- Grievance intelligence
- Document automation
- Governance
Study24by7 & AI Tutors
- AI tutors
- Learning agents
- Institution intelligence
Warehouse Intelligence
- RFID
- Inventory automation
- Computer vision
Procurement & Compliance AI
- Procurement AI
- Compliance
- AI agents
Specific problems. Measurable outcomes.
Each engagement starts with a defined problem and a defined outcome — not a generic platform pitch.
Digital Trust / DPDP Ops
- Problem
- Manual, fragmented privacy compliance
- Outcome
- Continuous, audit-ready DPDP posture
- Industries
- BFSI, healthcare, SaaS, education
AI Document & Process Automation
- Problem
- High-volume manual document processing
- Outcome
- Faster turnaround, fewer errors
- Industries
- BFSI, healthcare, government
Managed AI Operations
- Problem
- AI systems with no ongoing oversight
- Outcome
- Monitored, governed, cost-controlled AI
- Industries
- Any organization running AI in production
Managed Cybersecurity
- Problem
- Point-in-time testing, gaps in between
- Outcome
- Continuous monitoring and response
- Industries
- BFSI, enterprise, SaaS
Agentic Procurement & Compliance
- Problem
- Slow, manual procurement review cycles
- Outcome
- Agent-assisted review with human sign-off
- Industries
- Enterprise, government
AI Governance
- Problem
- No policy or ownership over AI usage
- Outcome
- Documented, auditable AI governance
- Industries
- Regulated enterprises, government
Healthcare Workflow AI
- Problem
- Manual medical documentation and intake
- Outcome
- Faster clinical workflows, protected data
- Industries
- Hospitals, diagnostics, clinics
RFID Warehouse Intelligence
- Problem
- Manual, error-prone inventory counts
- Outcome
- Real-time, automated inventory visibility
- Industries
- Logistics, warehousing, retail
Government Grievance Intelligence
- Problem
- Citizen grievances scattered across channels
- Outcome
- Structured insight for faster resolution
- Industries
- State & municipal government
Every one of these started as a single problem statement — a document queue, a control gap, an unowned model. Tell us yours and we will say which of the nine it actually is, or that none of them fit.
Describe your problemAI-native learning infrastructure.
Study24by7 is Avisha Global's AI-native learning platform — built for students, teachers and institutions, not just digitized textbooks.
- AI Teacher & AI Tutor with voice learning
- NCERT digital content, homework & practice
- Exam preparation, flashcards & viva practice
- Student analytics and teacher intelligence
AI doesn't end at deployment.
Production AI systems need monitoring, evaluation, security, model management, cost optimization and continuous improvement — Avisha Managed AI provides all of it.
Secure AI before AI becomes your attack surface.
Every model, prompt pipeline and autonomous agent is a new part of your attack surface. We test and govern it before attackers do.
- LLM security assessment & model access controls
- Prompt injection testing & AI red teaming
- Agent security & RAG security
- Sensitive data leakage testing
- API security, AI governance & third-party AI risk
Measured in outcomes, not technology.
Reduce manual workflows
Intake, review and reconciliation handled by agents, exceptions routed to people.
Deploy AI faster
From scoped pilot to production in weeks, not quarters — with controls built in.
Lower AI operating cost
Model routing, caching and usage governance keep inference spend predictable.
Improve data governance
A living inventory of what personal data you hold, where, and why.
Reduce security exposure
AI-specific testing alongside VAPT, cloud and API security.
Prepare for DPDP requirements
Consent, notice, rights requests and breach readiness in one programme.
Establish AI governance
Model registry, ownership, policy and review cadence — documented and auditable.
Auditable compliance evidence
Evidence trails ready before the regulator or auditor asks.
How we work.
Assess
Understand your data, systems, risk posture and compliance obligations before recommending anything.
Design
Architect the AI, security or trust solution against your actual constraints — not a generic template.
Deploy
Ship into production with proper access control, monitoring and rollback paths in place.
Secure
Test before and after deployment — AI systems included, not just traditional applications.
Operate
Provide ongoing management, monitoring and continuous improvement under a managed model.
One team for AI, security and compliance — not three vendors.
Most AI programmes stall between the data science team, the security team and legal. We bring all three disciplines to the same table from day one.
AI, security and trust under one roof
The people who design your agents also test them and map them to DPDP obligations. Nothing falls between vendors.
Product-backed, not slideware
Avisha Trust and Study24by7 are real platforms we run. Our advice comes from operating AI systems, not just recommending them.
Built for Indian regulated sectors
DPDP, RBI, IRDAI and SEBI expectations shape how we design data flows, retention and evidence — from the first workshop.
Human-in-the-loop by default
High-risk or irreversible actions get a human checkpoint. Autonomy is earned per workflow, not assumed.
Production is the goal, not the pilot
Every engagement is scoped to reach a monitored, governed production system — with a managed operations path after go-live.
Evidence over claims
We leave you with documentation, logs and controls that stand up to an auditor, a regulator or a board.
Rather judge the work than the claims? Run our DPDP gap assessment first. It is free, runs in your browser, asks for no email address, and ends with a prioritised list of what you are missing.
Run the free gap assessmentPerspectives for enterprise decision-makers.
The DPDP Compliance Checklist for 2026
What data fiduciaries need in place before enforcement tightens.
The AI Security Checklist Every CISO Needs
A practical framework for assessing LLM and agent risk.
Enterprise AI Agents: What Actually Works in Production
Lessons from moving agents past the pilot stage.
Ready to put AI to work?
Talk to our enterprise AI, cybersecurity and Digital Trust specialists.