Intelligent Operations Services CoE

INTELLIGENT OPERATIONS SERVICES

Operations That Move Faster. With Intelligence Built In.

HyperOps is 3i Infotech’s Intelligent Operations Services proposition: domain-led managed operations, process transformation, AI and intelligent automation, and governed delivery combined to move enterprises from manual, fragmented operations to intelligent, scalable and controlled ones.

Managed Operations

Process Transformation

AI & Intelligent Automation

Process Intelligence

Governance

Beyond traditional BPO: From people-heavy processing to intelligent, governed operations.

HyperOps is 3i Infotech’s Intelligent Operations Services proposition. It combines domain-led managed operations, process transformation, AI and intelligent automation, workflow orchestration, process intelligence, and governance in one accountable model, with human expertise retained for judgment-intensive work and exception handling.

We fix the process before automating it. And people stay in charge of judgment.

Operations Advisory & Process Transformation

Process assessment against the HyperOps maturity model, re-engineering before automation, operating-model design, and transformation roadmaps sequenced through Assess, Pilot and Scale.

Outcome:Processes fixed first, then automated.

Managed Back-Office & Transaction Operations

Domain-led managed operations for document-intensive and transaction-heavy processes, with FIFO queuing, TAT control, maker-checker quality and audit-ready delivery.

Outcome:Outcome-linked operations, not seat-based outsourcing.

Onboarding, KYC & Verification Operations

Customer, partner and agent onboarding, application and proposal scrutiny, KYC and CKYC operations, document verification and curing workflows.

Outcome:Faster, compliant onboarding at fluctuating volume.

Claims & Case Operations

Claims registration, scrutiny and assessment support, servicing and payout processing across health, life, motor and group portfolios, with structured communication and exception handling.

Outcome:Claims moved with speed, accuracy and traceability.

Document, Data & Digitisation Operations

Data capture, ICR and OCR-led extraction, scanning and digitisation, image and records management, mailroom operations and DMS integration.

Outcome:Paper-bound processes turned into governed digital flows.

Intelligent Workflow & Process Automation

Workflow orchestration, application-processing automation, case management and point automation deployed at process level, consuming enterprise automation capability where it already exists.

Outcome:Automation applied where the process is ready for it

Process Intelligence, Fraud Analytics & Reporting

Operational analytics, TAT and quality dashboards, fraud analytics and exception detection, and regulatory and compliance reporting.

Outcome:Operations that surface risk instead of hiding it.

Governance, Quality & Workforce Management

SLA governance, command-centre reporting, QMS-led quality management, workforce management and digital workforce enablement under defined controls, with continuous improvement.

Outcome:Delivery you can audit, not just trust.

Operating assets that compress transformation and keep delivery governed.

Automation patterns, quality frameworks and reporting assets drawn from long-running managed operations.

Application Processing Automation Library

READY-TO-DEPLOY POINT SOLUTIONSK

Automation patterns for demat, personal loan, credit card, forms, CKYC, claims and agent onboarding processing, deployed at process level without a full transformation programme.

QMS & TAT Governance Framework

QUALITY BY DESIGN

Queue monitoring, workload balancing, TAT thresholds and maker-checker controls that keep every case owned, tracked and closed on time.

Digital Command Centre

INSIGHT-DRIVEN OPERATIONS

Real-time dashboards across volumes, service levels, quality and productivity, giving clients and delivery leadership one operational truth.

Fraud Analytics Models

EXCEPTION DETECTION

Deep-learning classification with descriptive and predictive analytics for fraud triggers and exception detection in claims operations.

Domain-led. Governed by design. Human where it matters.

Operations underdeliver when they are bought as seats and run as queues. HyperOps runs them as governed, outcome-linked processes, with automation absorbing the routine and trained people handling the judgment.

Domain-Led, Not Seat-Led

Operations run by teams with deep BFSI and insurance domain expertise under outcome-linked delivery, not resource arbitrage.

Fix Before Automating

Process re-engineering precedes automation, so technology accelerates a sound process instead of a broken one.

Human + AI Operating Model

Automation absorbs the routine; trained people handle judgment-intensive work, assessments and exceptions. Oversight is designed in, not bolted on.

Quality as Architecture

Maker-checker controls, QMS workload balancing and TAT thresholds built into the workflow, not inspected after the fact.

Long-Running Proof

Managed insurance operations sustained for over a decade with the same clients, across claims, onboarding and servicing.

Governed Scale

Command-centre reporting, SLA governance and audit-ready evidence at every volume level, from steady state to peak.

Built for high-volume, Regulated operations.

Operations Professionals

0 +

Years in BPS Delivery

0 +

Annual Application Volumes

0 M+

Monthly Forms Processed

0 K+

Connected propositions across the enterprise.

AI-led Contact Centre Services

Customer-facing voice and digital engagement through CX Nova, complementing the back-office operations on this page.

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RTA Next

Registrar and Transfer Agent servicing for capital markets, delivered as a dedicated proposition.

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Intelligent Automation

Enterprise-wide RPA, intelligent document processing and automation technology implementation, which HyperOps consumes in live operations.

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Data & Analytics

Enterprise data platforms, BI and advanced analytics beyond the operational analytics used on this page.

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Application Engineering

Engineering and integration for the core systems and workflow platforms operations run on.

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Quality Engineering

Independent testing and assurance for the platforms behind managed operations.

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Common questions about Intelligent Operations Services.

What are Intelligent Operations Services?

Managed business operations in which AI, automation and process intelligence are embedded into delivery: back-office and transaction processing, onboarding and KYC, claims and case operations, document and digitisation services, and workflow automation, run under SLA governance with human expertise for judgment-intensive work.

What is HyperOps?

HyperOps is 3i Infotech’s Intelligent Operations Services proposition. It combines hyper-automation, AI and intelligence, process intelligence, digital workforce enablement, and governance and compliance in one operating model, moving enterprises from manual, fragmented operations towards intelligent, scalable and governed ones.

How is this different from traditional BPO?

Traditional BPO transfers headcount and scales by hiring. HyperOps transfers outcomes: processes are re-engineered before they are automated, automation absorbs routine work, quality is architected through maker-checker and QMS controls, and delivery is governed through SLAs and command-centre reporting.

What operations can 3i Infotech manage?

Customer, partner and agent onboarding, KYC and CKYC operations, claims registration, assessment support and servicing, application and loan processing, data capture and digitisation, mailroom and records management, and regulatory reporting, across BFSI, insurance, NBFCs, fintech and other document-intensive sectors.

How do AI and automation work inside managed operations?

At process level: OCR and ICR extraction, application-processing automation, workflow orchestration, fraud analytics models and operational dashboards, applied where the process is ready and always with human oversight of exceptions and judgment calls.

How is quality controlled?

Through maker-checker controls at transaction level, QMS-led workload balancing and TAT thresholds, structured quality audits, and command-centre dashboards that keep every case owned, tracked and closed within defined service levels.

What is the HyperOps maturity model?

A five-stage journey: Manual Operations, Assisted Operations, Intelligent Operations, Automated Enterprise, and Autonomous Operations. The final stage is a target state, adopted only as governance and controls mature, with human oversight preserved throughout.

How does an engagement start?

Assess, Pilot, Scale: a process assessment and maturity baseline first, a controlled pilot on one process next, and expansion across functions once results are proven, followed by long-term managed operations with continuous improvement.

How does this relate to the Intelligent Automation CoE?

The Intelligent Automation CoE implements enterprise automation technology: RPA, intelligent document processing and orchestration platforms. Intelligent Operations Services operates and transforms business processes, consuming those capabilities inside managed delivery rather than duplicating them.

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