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One AI foundation

Shared intelligence.
Domain-specific outcomes.
Cyber security is no longer a collection of tools and periodic assessments. The 3i Infotech Cyber Security CoE delivers continuous visibility, governed risk reduction, and coordinated protection across identities, applications, endpoints, cloud, and infrastructure.
13 Offering Pillars Connected
96 AI Solution Patterns Catalogued
6 AI/ML Capability Engines
60 Day Pilot Pathway
AI initiatives and use cases

Portfolio overview.

Ten practical initiatives spanning customer experience, knowledge intelligence, document processing, software engineering and IT operations.
01
🤖

Conversational AI chatbot

Product guidance, personalization and order support.

02
🔍

Advanced search intelligence

Autosuggestions, typo correction and synonym matching.

03
🧪

Flexib+ test automation

AI-powered testing from requirements to reporting.

04
♾️

Flexib+ SDLC acceleration

Continuous testing, test management and defect triage.

05
📂

Document management system

Secure storage, OCR, search and approval workflows.

06
🧠

Agentic RAG knowledge assistant

Enterprise knowledge access through text and voice.

07
🛡️

Underwriting document validation

OCR extraction and cross-document consistency checks.

08
💻

AI-native SDLC assistant

AI support across six software delivery phases.

09
🎫

ITSM ticket-creation bot

Conversational creation and tracking of service requests.

10
🧹

Zia IT automation

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AI across the enterprise

Choose a CoE.
Discover the use cases.

Explore priority AI, GenAI and Agentic AI opportunities. Select a card for a focused activation path.

01 / 13
⌘

Application Engineering

Legacy modernization, code generation, AI review and Agentic SDLC.

Code intelligence SDLC copilots Modernization
02 / 13
✓

Quality Engineering

Test generation, regression optimization, defect prediction and self-healing automation.

AI testing Defect prediction Visual testing
03 / 13
◫

Data & Analytics

Predictive analytics, forecasting, conversational BI, fraud and anomaly detection.

Forecasting Conversational BI Decision intelligence
04 / 13
◇

Enterprise Applications

SAP, Oracle and NetSuite copilots plus finance, HR, procurement and contract intelligence.

ERP copilots Invoice AI Master data
05 / 13
↻

Intelligent Automation

AI agents, intelligent OCR, human-in-loop workflows and decision automation.

Agentic automation IDP Workflow AI
06 / 13
◎

CXNova

Voice bots, real-time agent assist, conversation intelligence and outbound automation.

Conversation AI Agent assist Contact center
07 / 13
⚙

HyperOps

Back-office intelligence for onboarding, bank statements, KYC/KYB, claims and AR/AP.

Back-office AI Digital onboarding Claims automation
08 / 13
▤

RTA Next

Intelligent document processing, OCR, KYC validation, AML, risk and fraud workflows.

Document AI AML/KYC Risk prediction
09 / 13
⌂

Digital Workplace

Employee copilots, experience intelligence, productivity assistance and endpoint insights.

Employee copilot DEX insights Knowledge assistant
10 / 13
✦

Smart Service Desk

Virtual agents, ticket intelligence, knowledge retrieval and policy-bound remediation.

AI service desk Ticket routing Self-service
11 / 13
☁

Hybrid Cloud Transformation

Capacity prediction, migration advisory, FinOps intelligence and cloud optimization.

Cloud advisor Capacity AI FinOps
12 / 13
⬡

Cyber Resilience

AI SOC tooling, identity risk, vulnerability prediction and GenAI compliance assistance.

AI SOC Identity risk Compliance AI
13 / 13
∞

Integrated Operations & AIOps

Incident prediction, intelligent monitoring, ticket automation and governed self-healing.

AIOps Incident AI Self-healing
Responsible by design

Innovation with control.

A shared governance plane helps every CoE move from experiment to production with traceability, human oversight and measurable outcomes.
AI strategy & value

Use-case discovery, feasibility, benefits and roadmap

Data & knowledge

Data pipelines, RAG, vector search and knowledge governance

MLOps & LLMOps

Evaluation, deployment, observability and lifecycle control

Responsible AI

Risk tiers, approval gates, security, privacy and auditability

A practical adoption path

From idea to industrialized AI.

01.

Assess

Align pain points, process, data readiness, risk and business value.

02.

Prioritize

Select the top three cases using value, feasibility and reuse potential.

03.

Pilot

Validate the experience, model quality, controls and outcome measures.

04.

Scale

Productionize through shared architecture, MLOps/LLMOps and governance.

Get Started Now

Build your next AI advantage.

Start with an AI, GenAI and ML assessment. Identify three high-value use cases and define a governed pilot.

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