Intelligent Automation Services CoE

INTELLIGENT AUTOMATION

Automate Work.
Accelerate Outcomes.

Move from manual, fragmented work and isolated bots to governed, scalable intelligent automation. AI, APA, RPA, intelligent document processing, workflow orchestration, and GenAI-enabled execution, delivered through one accountable model.

Automation Strategy & RPA

Intelligent Document Processing

Agentic Process Automation

GenAI & Copilot

Workflow Orchestration

Automation as a Service

Human-in-the-Loop Governance

Effort isn’t the problem. Process execution is. One governed automation model drives consistent, scalable business outcomes.

3i Infotech’s Intelligent Automation CoE moves enterprises from manual execution and isolated bots to governed, scalable automation: strategy, RPA, intelligent document processing, workflow orchestration, AI-enabled execution, integration, and managed operations in one accountable practice.

The difference between ten bots and a governed automation estate is the model, not the technology.

Automation Strategy & Process Discovery

Maturity assessment, AI-led process discovery, suitability assessment, ROI modelling, CoE design, and roadmap creation, prioritised by measurable value rather than visibility.

Outcome: Automation investment directed where it returns the most.

Robotic Process Automation

Attended and unattended bots across high-volume, rules-based workflows in finance, HR, billing, compliance, and operations, built to governed delivery standards.

Outcome: Execution scaled without scaling headcount.

Intelligent Document Processing

Invoice, KYC, claims, contract, and form extraction with classification, validation, accuracy benchmarking, and human-in-the-loop exception review.

Outcome: Unstructured documents processed at scale, with exceptions controlled.

Workflow Orchestration

Routing, queuing, approvals, SLA tracking, and end-to-end process coordination across systems, teams, and automation platforms.

Outcome: Whole processes automated, not isolated tasks.

AI-Enabled Automation

GenAI-triggered workflows, email intent detection, cognitive decisioning, and exception routing that bring unstructured inputs into the automation layer.

Outcome: Automation that reaches beyond what rules-based bots can handle.

Integration & APIs

Bots, platforms, and enterprise systems connected through APIs, middleware, pre-built connectors, and event-driven triggers.

Outcome: Automation woven into the estate instead of bolted onto it.

KYC & Digital Onboarding Automation

OCR, ICR, NLP, e-sign, video IPV, and maker-checker workflows purpose-built for BFSI, insurance, and regulated-sector onboarding at scale.

Outcome: Faster onboarding with compliance routing built in.

Automation Operations & Bot-as-a-Service

Control room setup, monitoring, security, credential management, and SLA-backed managed bot operations after go-live.

Outcome: Automation value that holds instead of eroding post-deployment.

Agentic Process Automation (APA)

Deploys autonomous AI agents to plan, reason, and adapt across complex workflows, reducing manual workarounds, handling unstructured data and process exceptions, and enabling efficient operations with minimal human intervention.

Outcome: Autonomous, scalable end-to-end efficiency.

Copilot Automation

Streamlines repetitive workflows with AI, automating tasks, integrations, and actions while converting natural language prompts into fully automated routines with minimal manual intervention.

Outcome:Accelerated productivity through hands-free efficiency.

Chatbot Automation

Uses AI and machine learning to simulate human conversation, understand user intent, automate tasks, execute workflows, and learn from interactions to continuously improve responses with minimal human intervention.

Outcome: Efficient, scalable, 24/7 customer support.

Legacy application

Modernizes legacy systems by integrating them with automated workflows, reducing manual processes, maintaining operational stability, improving efficiency, accelerating throughput, and minimizing human errors.

Outcome:Higher efficiency, lower operational risk

Frameworks that compress delivery time and keep estates governed.

Reusable delivery pipelines, pre-built solutions, and governance assets, brought into every engagement.

Bot Factory

GOVERNED DELIVERY MODEL

A standardised, sprint-based delivery pipeline with templates, reuse libraries, and quality gates that make bot delivery repeatable rather than artisanal.

Pre-Built Solutions Library

READY-TO-DEPLOY AUTOMATION

Pre-built domain workflows and point solutions with connectors to major enterprise systems, configured to your process instead of built from scratch.

IDP Framework

DOCUMENT AUTOMATION

AI-powered extraction across structured, semi-structured, and unstructured documents, with accuracy benchmarking and exception profiling on real client documents.

Automation CoE Frameworks

GOVERNANCE & PRIORITISATION

CoE design assets, prioritisation frameworks, maintenance pipelines, and governance controls that keep automation estates scalable.

Hyper-automation discipline. Not isolated bots.

The difference between a proof-of-concept bot and enterprise automation at scale is orchestration, governance, and the domain knowledge behind the deployment. Our model is built for the latter.

ROI-First Discovery

Every engagement starts with process value quantification: FTE savings, throughput, and error reduction. Not a platform pitch.

Bot Factory Delivery

First bot in four weeks, then repeatable scaling through templates, reuse, and a governed delivery pipeline.

Multi-Platform Independence

UiPath, Automation Anywhere, Blue Prism, and Power Automate, selected for business fit, not for integrator margin.

GenAI + RPA Capability

Unstructured inputs, email intent, and exception handling brought into the automation layer, not left outside it.

IDP Depth

Structured, semi-structured, and unstructured document automation with accuracy benchmarking and exception profiling.

Bot-as-a-Service Continuity

SLA-backed monitoring, maintenance, enhancement, and reporting after go-live. Automation that keeps running.

Hard numbers from delivered automation.

Faster Invoice Processing

0 %

Reduction in Routine IT Tasks

0 %

Accuracy in Regulatory Reporting

0 %

Reduction in Process Handling Time (Up To)

0 %

Always-on. Across sectors. Delivering hard ROI.

Casestudy: Manufacturing / Cable & Connection Technology | Robotic Process Automation

RPA-Driven Finance Automation for a Cable Technology Leader

A leading cable and connection technology manufacturer needed to streamline RTGS generation, vendor account management and customer payment clearing in SAP. 3i Infotech automated these processes with Automation Edge RPA, cutting process time by 80%, achieving 99% accuracy and saving 60–80% in costs.

Also delivered: financial process automation achieving 80% process time savings and 60–80% cost reduction at 99% accuracy, and procurement automation reducing average handling time by up to 90%.

Extend the automation across the enterprise with connected CoEs and products.

Application Engineering

Application development, modernization, and support for the systems automation connects and extends.

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Quality Engineering

Testing and test automation services, including the quality assurance governed bot estates depend on.

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Data & Analytics

Data platforms, BI, and analytics that turn automation telemetry and process data into decisions.

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Enterprise Applications

SAP, Oracle, Dynamics 365, and NetSuite services for the core systems automation orchestrates around.

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Enterprise Tools, Automation & AIOps

Deep IT operations automation, AIOps, and enterprise tooling, extending the IT use cases referenced on this page.

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Hybrid Cloud Infrastructure Services

Managed cloud and infrastructure operations beneath always-on automation estates.

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Common questions about Intelligent Automation.

What is intelligent automation and how is it different from RPA?

RPA automates specific, rules-based tasks using software bots. Intelligent automation, sometimes called hyperautomation, combines RPA with AI decisioning, NLP, Gen AI, computer vision, intelligent document processing, and low-code platforms in a single governed orchestration layer, automating complex, variable, and cognitive workflows that bots alone cannot handle.

What automation services does 3i Infotech provide?

Automation strategy and process discovery, robotic process automation, intelligent document processing, workflow orchestration, AI-enabled automation, integration and APIs, KYC and digital onboarding automation, and managed automation operations. The practice is deepest in BFSI and insurance, and also serves healthcare, manufacturing, telecom, and shared services.

What is Automation-as-a-Service?

A consumption model within the CoE that delivers pre-configured, plug-and-play automation solutions on subscription, transaction, or outcome-led commercial terms, following a five-stage operating frame: Digitize, Configure, Integrate, Automate, Govern. It reduces setup cost and compresses time to value without a full custom build programme.

What is Bot-as-a-Service?

SLA-backed managed operations for automation estates after go-live: monitoring, maintenance, enhancement, exception management, and operational reporting. Most automation value erosion happens post-deployment; Bot-as-a-Service is how we prevent it.

What is intelligent document processing and where is it used?

Intelligent document processing uses OCR, ICR, NLP, and machine learning to read, classify, extract, and validate information from structured and unstructured documents: invoices, KYC files, claims, contracts, and forms. It is most impactful in BFSI onboarding, insurance claims, finance and accounting, and compliance reporting.

Which RPA platforms does 3i Infotech work with?

UiPath, Automation Anywhere, Blue Prism, and Microsoft Power Automate, with adjacent orchestration, iBPMS, and low-code tooling. Platform recommendations are based on business fit, existing licence position, and process requirements, not vendor relationships.

How does GenAI improve automation?

GenAI is applied where it strengthens automation workflows: processing unstructured documents and emails, detecting intent, routing exceptions, and supporting decisions inside orchestrated processes. It operates under defined governance with human-in-the-loop controls where accuracy and compliance require them.

How does 3i Infotech identify what to automate?

Through AI-driven process discovery: analysing process data, system logs, and operational patterns to surface automation opportunities ranked by ROI, complexity, and implementation effort, so investment goes where it delivers the greatest measurable return.

Can you work alongside an internal automation team?

Yes, and it is one of the most common engagement models. We accelerate delivery, stabilise the existing estate, introduce governance practices, and transfer capability back into the client team. Dependency is not the model.

Is RPA secure?

Enterprise RPA platforms support security controls such as role-based access, credential management, encryption, audit logs, and controlled bot execution. Security should also be designed into the overall solution architecture.

Can RPA integrate with databases?

Yes. Bots can interact with databases through supported connectors, queries, APIs, or application interfaces, subject to security and platform capabilities.

Can RPA integrate with ERP and CRM systems?

Yes. RPA can work with systems such as SAP, Oracle, Salesforce, ServiceNow, and other enterprise applications through APIs, connectors, or UI automation.

What is process orchestration?

Process orchestration coordinates people, bots, AI agents, workflows, APIs, and applications to execute an end-to-end business process.

What is the role of AI in automation?

AI can handle activities such as document understanding, classification, prediction, summarization, natural-language processing, decision support, and intelligent exception handling.

What is Agentic Automation?

Agentic automation uses AI agents that can understand goals, reason over information, decide the next action, use tools, and execute multi-step tasks, usually with appropriate controls and human oversight.

Can automation reduce FTEs?

Automation primarily reduces manual effort and workload. Organizations can use the capacity released for higher-value activities, faster service, growth, or cost optimization.

What is the difference between task automation and end-to-end automation?

Task automation automates an individual activity. End-to-end automation connects multiple activities, systems, decisions, approvals, and exceptions across the complete business process.

What is the future of RPA?

RPA is evolving toward intelligent, orchestrated and agentic automation, combining workflows, APIs, AI, GenAI, IDP, RPA, analytics, and human collaboration rather than relying only on UI-based bots.

Can RPA automate multiple applications?

Yes. RPA can interact with web applications, desktop applications, SAP, mainframes, Excel, email, databases, Citrix environments, and other systems, depending on the platform and integration approach.

Can humans remain involved in an automated process?

Yes. Human-in-the-loop automation allows bots to handle routine work while routing exceptions or judgment-based decisions to employees.

What is attended automation?

An attended bot runs with a user and assists them with tasks such as data retrieval, validation, calculations, or application updates.

What is unattended automation?

An unattended bot runs independently on a schedule or based on an event, without requiring a user to initiate or supervise every transaction.

What is an automation workflow?

It is a sequence of automated activities, decisions, integrations, approvals, and exception-handling steps that together execute a business process.

How do we identify automation opportunities?

Assess processes based on transaction volume, manual effort, repetition, rule-based nature, error rate, business impact, system stability, compliance requirements, and automation feasibility.

How do we calculate automation ROI?

Typical factors include hours saved, FTE effort reduced, transaction volumes, error reduction, faster processing, compliance benefits, and technology/implementation costs.

How quickly can an automation be delivered?

Simple automations can sometimes be delivered in weeks. More complex enterprise automations depend on integrations, security, process complexity, exception handling, testing, and deployment requirements.

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