HCLTech × AT&T · Application Transformation

Building the foundation for AT&T's next era of innovation

Modernizing 142 applications is more than a technology initiative. It is an opportunity to simplify complexity, accelerate innovation, improve agility, and create the digital foundation that powers AT&T's future.

HCLTech is committed to helping AT&T achieve a secure, predictable, and outcome-driven transformation through AI-powered modernization, industrialized delivery, and evidence-based risk management.

Explore the Transformation Journey
The Opportunity Ahead for AT&T

Unlocking Business Agility Through Modernization

AT&T has an opportunity to reshape how technology enables the business. By modernizing legacy platforms, simplifying technology complexity, and embracing cloud-native engineering practices, AT&T can accelerate the delivery of new capabilities while maintaining the operational excellence customers expect.

Faster Innovation

Accelerate feature delivery and business responsiveness through modern engineering, automation, and cloud-native architectures.

Reduced Legacy Complexity

Simplify application management, eliminate technical debt, and reduce dependency on aging technology platforms.

Improved Operational Agility

Enable scalable operations through greater automation, observability, and platform standardization.

AI-Powered Engineering

Leverage AI-assisted discovery, modernization, testing, and operations to improve speed and quality.

Cloud-Native Scalability

Adopt an architecture capable of supporting future business growth and evolving customer needs.

Complete Mainframe Retirement

Create a clear path toward elimination of legacy platform dependency while maintaining functional equivalence and business continuity.

A Message to AT&T

Committed to Your Success

Dear AT&T Team,

Thank you for the opportunity to partner with you on this transformative journey.

At HCLTech, we understand that this initiative is not merely an application modernization program. It is a strategic enabler of AT&T's future business objectives.

Our teams bring together deep telecommunications expertise, extensive modernization experience, AI-powered engineering capabilities, and a proven transformation framework designed to deliver outcomes with confidence.

Throughout this engagement, we remain focused on protecting business continuity, reducing risk, accelerating delivery through AI, and maintaining accountability until the final workload has been successfully transitioned and retired.

Most importantly, we will stand beside AT&T every step of the way.

Together, we are building the foundation for AT&T's next era of innovation.
Portrait of Anil Ganjoo

Anil Ganjoo

Chief Growth Officer, TMT
HCLTech

Portrait of Pawan Vadapalli

Pawan Vadapalli

Corporate Vice President & Global Head,
Digital Business Services · HCLTech

HCLTech Differentiators

Six Differentiators Built Around One Outcome: A Safe, Complete and Accepted Mainframe Exit

What makes HCLTech different

We combine telecom domain depth, mainframe modernization experience, proven parity at scale, AI-assisted engineering and the IBM + AWS ecosystem to take AT&T all the way from legacy discovery to accepted mainframe exit.

Own the Mainframe Exit

From discovery to decommissioning

  • End-to-end accountability through production, retirement and mainframe shutdown
  • Commercial model linked to formal decommissioning acceptance
  • Success measured by business outcomes, not code conversion
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Protect the Business

Parity before production

  • Golden Master and Digital Twin validate modernized behavior against the legacy environment
  • Focus on billing, customer, settlement, tax and regulatory processes
  • Differences are identified and resolved before production cutover
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Telecom + Mainframe Depth

We understand the technology and the business behind it

  • Deep mainframe modernization experience combined with OSS/BSS expertise
  • Experience across ordering, billing, activation and integration in Tier-1 telecom environments
  • Ability to assess applications as business capabilities, not just source code
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Proven at Tier-1 Telecom Scale

Reshaping the largest AWS-native BSS platform — a model already proven in complex billing environments

150MSubscribers in scope
31Full bill cycles, dual-run
99%Parity achieved
99Sub-processes validated
4 yrsProgram experience
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AMF + AWS Modernization Engines

Automation where it adds speed, HCLTech governance where it matters

  • AWS Transform accelerates applicable refactoring and modernization activities
  • Kiro supports specification, engineering, testing and documentation
  • HCLTech AMF connects these capabilities through one delivery model with quality and acceptance controls
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Build for AT&T's Future

Modernize today without creating another dependency tomorrow

  • AT&T receives source code, deployment assets, IaC, runbooks, testing assets and documentation
  • Modernization knowledge becomes reusable for future transformation
  • IBM, AWS and HCLTech capabilities provide a broader path beyond the initial RFP scope
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One partner. One accountable journey. One accepted mainframe exit.

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HCLTech Solution Accelerators

See Our Accelerators in Action

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Demo 01

AI-Powered Discovery & Business Rule Intelligence

Understanding application behavior, dependencies, and modernization readiness.

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Demo 02

Digital Twin & Golden Master Validation

Proving business equivalence before deployment.

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Demo 03

Autonomous Modernization Factory

Experiencing AI-driven modernization execution at enterprise scale.

How We Will Deliver for AT&T

An Industrialized Approach to Modernization at Scale

End-to-End Autonomous Modernization Factory

End-to-end Autonomous Modernization Factory process flow diagram, showing six program phases from Discovery and Design through Retirement and Decommissioning, with autonomous agent layers, quality gates D1 to D6, and human intervention points.

AT&T's modernization program will be delivered through HCLTech's Autonomous Modernization Factory — an industrialized framework that combines automation, governance, engineering excellence, and quality controls throughout the modernization lifecycle. Applications move through six governed phases supported by evidence-driven quality gates that ensure readiness before progression.

Click the figure to enlarge · Source: Proposal Section 2.2

What This Means for AT&T

Consistent delivery across 142 applications
Transparent governance and traceability
Reduced modernization risk
Accelerated execution through automation
Human oversight at every critical decision point
AI Across the Modernization Lifecycle

Accelerating Transformation Through Specialized AI Agents

Autonomous Agent Layer

Autonomous Modernization Factory end-to-end process flow, showing what AI brings and how it helps by phase, the autonomous agent layer, and estimated duration ranges by application size across the six phases.

Specialized AI agents support every phase of modernization — accelerating discovery, engineering, testing, cutover, knowledge transfer, and retirement activities while maintaining governance and accountability.

Click the figure to enlarge · Source: Proposal Section 2.3

AI Agents Supporting AT&T
AgentRole
Discovery AgentAccelerates portfolio understanding
Transformation AgentSupports modernization engineering
Parity AgentAssists validation and equivalence testing
Cutover AgentSupports migration readiness
Knowledge AgentAccelerates operational enablement
Retirement AgentSupports controlled decommissioning

Key Benefit: AI improves speed and quality while human stakeholders retain control over architecture, governance, business acceptance, and go/no-go decisions.

HCLTech + AWS: An Integrated Solution

AWS Modernization Engines, Orchestrated Through One Governed Factory

AWS Transform · Kiro · HCLTech Autonomous Modernization Factory (AMF)

Application Modernization Factory diagram showing the legacy mainframe estate of 142 applications flowing through the governed AMF six-plane framework — Human, Control, Execution, Quality, Knowledge, and Learning planes — with AWS Transform and Kiro as modernization engines sharing Digital Twin and Golden Master evidence assets, delivering modernized applications on AWS through cutover, hypercare, and retirement factories to an accepted mainframe exit.

AWS provides the modernization engines. HCLTech AMF turns their outputs into controlled, traceable, and accepted outcomes — culminating in a complete mainframe exit. AWS Transform accelerates legacy analysis, reverse engineering, and applicable refactoring; Kiro accelerates specification-driven requirements, design, code, tests, and infrastructure definitions. HCLTech AMF governs both as engines within one factory — maintaining a common Digital Twin, Golden Master, evidence thread, independent quality gates, and human decision checkpoints across all 142 applications, from discovery through retirement. AT&T retains authority over architecture, business rules, and final acceptance at every gate.

Click the figure to enlarge

What This Means for AT&T

AWS-native acceleration with HCLTech end-to-end outcome ownership
One evidence model, one decision framework, one definition of done
Speed from reuse and automation — never from lowered standards
AT&T retains authority over architecture and acceptance
How We Will Validate for AT&T

Quality by Design: Testing Factory — Ensuring Business Continuity Through Continuous Validation

Parallel Execution · Independent Verification · Evidence-Driven Release Readiness

Enterprise Testing Factory diagram showing parallel test lanes in a maker-checker model across system, integration, performance, functional equivalence, and batch and operations testing, each producing evidence packages that roll up into a release readiness verdict of ready for production or rework and reassess.

Every release candidate passes through HCLTech's Enterprise Testing Factory — parallel test lanes operating on a maker–checker model, where independent verification teams validate every engineering output. Evidence is captured at each step and rolls up into a formal release readiness verdict: an application is either proven ready for production, or it is reworked and re-assessed. Nothing progresses on assumption.

Click the figure to enlarge

What This Means for AT&T

Independent verification — makers never check their own work
Parallel test lanes compress validation timelines
Evidence packages at every quality gate
A clear, binary release verdict before production
Why AT&T Can Trust the Outcome

Evidence Before Progression

Digital Twin & Golden Master Validation

Production-Aligned Business Scenarios Real-world datasets · Identical inputs to both environments Legacy Production Baseline Golden Master — the trusted record of today's business behavior Baseline Outputs ▸ Modernized Application Digital Twin — proving new behavior before it ever reaches production ◂ Modernized Outputs Automated Comparison Engine Reconciliation · Parity analysis · Defect isolation Traceable, auditable results Evidence of Equivalence Cutover approved only on proof — never on assumption Validated before production transition — every billing transaction · every customer interaction · every operational workflow · every business process

HCLTech leverages Digital Twin and Golden Master validation to compare modernized application behavior against agreed business expectations and production baselines before cutover.

Every billing transaction
Every customer interaction
Every operational workflow
Every business process
Evidence replaces assumptions.
The Path to Mainframe Retirement

Modernization Through Controlled Transformation Waves

Modernization Roadmap & Retirement Journey

Eight Phases per Wave · Fifteen Waves to Full Exit Each wave executes the complete modernization lifecycle — legacy dependency reduces gradually until final decommissioning THE LIFECYCLE — EXECUTED IN EVERY WAVE 1 Portfolio Analysis 2 Application Discovery 3 Engineering & Modernization 4 Functional Equivalence Validation 5 Production Deployment 6 Hypercare & Stabilization 7 Mainframe Retirement 8 Legacy Decommissioning Every wave executes this complete lifecycle LEGACY PLATFORM DEPENDENCY · WAVES 1 → 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ZERO DEPENDENCY Dependency-driven wave sequencing · Throughput without compromising operational stability

AT&T applications progress through dependency-driven transformation waves designed to maximize throughput while maintaining operational stability and business continuity.

Our Commitment: HCLTech remains accountable through successful retirement and acceptance of transformed workloads.

HCLTech Partnerships

An Ecosystem Built for AT&T's Transformation

Industry IP + Methodology & People + Partnership — cloud engines, mainframe platform depth, and telecom domain expertise, aligned to this program.

Cloud & Modernization Engines

AWS

A strategic partnership spanning over 16 years, directly powering the AWS Transform and Kiro engines in this solution.

  • Premier Consulting Partner & MSP across Americas, EMEA, and APJ
  • 53,000+ AWS-trained professionals
  • 400+ successful client implementations
  • AWS Agentic AI Competency holder
  • 2025 AWS Industry Partner recognition
Mainframe Platform Depth

IBM

A close, long-standing mainframe partnership with IBM — the platform AT&T's estate exits from — informing every stage of a safe, controlled wind-down.

  • z-platform expertise across COBOL, PL/I, DB2, IMS, and JCL estates
  • Dual-run operations supported on both legacy and target platforms
  • Controlled MIPS reduction through final retirement and decommissioning
  • Telco BSS/OSS platform heritage spanning IBM and HPE ecosystems
Telecom Domain Expertise

CTG

Through the acquisition of HPE's Communications Technology Group, HCLTech brings the architecture, source code, developers, domain SMEs, and products to the table — domain expertise fused with AI, not an AI story alone.

  • 3,000+ telecom engineers and 50+ product IPs
  • 20 of the top 30 global CSPs as direct relationships
  • 1,500+ CSP product engineering specialists integrated
  • BSS, network applications & service cloudification IP portfolio
  • ~30 years of BSS/OSS heritage — 200+ operator installations, 1B+ devices served
Why HCLTech for AT&T

What Makes Our Approach Different

AI-Powered Modernization Factory

Industrialized modernization driven by automation, AI, and engineering accelerators.

Digital Twin Validation

Evidence-based verification before production cutover.

Golden Master Testing

Proven functional equivalence through production-aligned validation.

Telecommunications Expertise

Deep understanding of telecom business processes, platforms, operations, and customer-facing systems.

Human-in-the-Loop Governance

AI acceleration balanced with engineering rigor and executive control.

Outcome-Based Accountability

Success measured through achieved business outcomes and successful workload retirement.

Proven Transformation Outcomes

Organizations That Trusted HCLTech With Their Most Critical Transformations

Telecommunications · Reshaping the Largest AWS-Native BSS Platform

Tier-1 North American Telecommunications Provider

Challenge

Modernize a complex application ecosystem while maintaining continuous operations.

Outcome

Reshaped the largest AWS-native BSS platform — accelerated modernization execution while preserving business continuity.

Why This Matters to AT&T

Demonstrates our ability to execute transformation at telecommunications scale.

Financial Services

Global Financial Services Enterprise

Challenge

Ensure business equivalence and transactional accuracy throughout modernization.

Outcome

Reduced deployment risk through Digital Twin and Golden Master validation.

Why This Matters to AT&T

Demonstrates our ability to protect mission-critical business processes.

AI-Powered Engineering

Fortune 100 Enterprise

Challenge

Modernize highly interconnected legacy environments containing decades of embedded business knowledge.

Outcome

Accelerated discovery and modernization through AI-assisted engineering.

Why This Matters to AT&T

Demonstrates how we reduce transformation uncertainty through intelligent analysis.

Experience the Future · Beyond the Exit

From Mainframe Exit to an AI-Ready Business and Operations Platform

The modernized Java-on-AWS estate is more than a destination — it is a foundation. HCLTech's AI-Ops and AI-BSS vision builds on that foundation to change how the estate is operated and how business processes evolve, while keeping the RFP scope and approved application boundaries fully intact.

Phase 1

Modernize

Mainframe → Java / AWS

A complete, accepted mainframe exit — the milestone this program delivers.

Phase 2

Operate

AI-Ops → Monitor | Diagnose | Automate

Proactive anomaly detection, AI-assisted resolution, and governed automation from the moment of cutover.

Phase 3

Transform

AI-BSS → Assist | Resolve | Predict | Optimize

A B2B-first business layer across order management, provisioning, settlement billing, and contracts.

One modern foundation. Multiple opportunities to improve AT&T operations and business outcomes.

Three-stage AI vision diagram: Stage 1, AT&T's RFP ask treated as an interim state with the mainframe retired and applications re-platformed to Java on AWS; Stage 2, the five-layer AI-Ops framework operating the modernized estate autonomously post-cutover across domains including order management, provisioning, billing, and customer contracts; Stage 3, a B2B-first AI-BSS foundation across wholesale order management, network provisioning, settlement billing, and enterprise contract management, scaled across the organization.

From AT&T's interim target state, through autonomous post-cutover operations, to a B2B-first AI-BSS foundation scaled enterprise-wide. The five-layer AI-Ops framework — orchestration, experience, agent runtime, data and tool integration, and governance with data-class routing — operates the modernized estate from go-live. The AI-BSS layer then applies AI to business workflows: exception resolution, dispute assistance, jeopardy triage, compliance-drift monitoring, and next-best-action. Every agent action is governed — autonomous never means ungoverned.

Click the figure to enlarge

Why This Matters to AT&T

Lower operational effort — fewer repetitive manual operations, faster incident response
Faster business response — better decision support without changing approved scope
Build once, extend over time — one orchestration and governance foundation across domains
Move beyond re-platforming — a foundation for the next generation of operations

The mainframe exit is the milestone. The modernized platform is the foundation. AI-Ops and AI-BSS are how AT&T can build further value from that foundation — subject to AT&T priorities and approval.

Our Promise to AT&T

Transformation Programs Are Ultimately Judged by Outcomes

Success Means

Reduced business risk
Faster innovation
Improved agility
Operational confidence
Complete retirement of legacy dependencies
Realized business value

We do not measure success by migrated applications. We measure success by AT&T's ability to confidently retire legacy workloads and realize business value.

HCLTech Commitment — We remain accountable until the job is complete.

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