ADM服务的未来

Global ADM–APACGTMQ1 2026 This deck presents a strategicPoV on thefuture of ADM services,developed by theGTM team ofthe GADM APACCoE, in response to evolving enterprise realities and client expectations It captures howADM has shifted from traditional outsourcing to intelligent, Gen AI-enableddelivery models, reflecting changes in: Objective of the deckThe objective is toequip stakeholders with a clear understanding of how ADM services are becomingmore flexible, outcome-driven, and strategically aligned to business value. This PoV reflects howADM engagements have adapted to enterprise needs. Executive summary Application Development and Maintenance (ADM) is moving decisively from effort-basedoutsourcing toplatform-orchestrated, AI-assisted, outcome-aligned delivery.Three signals anchor this pivot: AI pricing disruption Traditional effort-based billing is giving way to complex, AI-driveneconomics-where costs span IP creation, token consumption, andinfrastructure scaling, making transparency and fairness critical. New commercial paradigms Models are shifting from T&M and fixed Price to outcome-based, gain-share, and hybrid constructs, aligningpricing with business impactandshared accountability rather than effort alone. Platform for the future Sustainable pricing frameworks demandadaptability, proportionality,and risk-aware incentives, ensuring value exchange remains equitable asGen AI and agentic delivery reshape ADM. The winning ADM model isplatform-led,AI-assisted with guardrails,observability-first, andcommercially aligned. New ADM Paradigm:Tech solutions and client-driven models •Hyper-automationand enterprise automation•Cloud computingandFinOps•Low-code/No-codesoftware development Enhance profitability and optimizecost in macroeconomic uncertainty •AI-powered chatbotsand virtual assistants•AR/VRfor immersive experience delivery •App modernizationandcloud migration•APIsandmicroservicesarchitectures•Data lakesand data warehousing solutions •AI-poweredthreat detection•Zero Trust Architecture (ZTA)•Data encryption and tokenization Government policies and regulations •Green ITand sustainable cloud practices•IoT-enabledwaste management systems•Data encryptionandtokenization Gen AI evolves very fast on 3 key dimensionsNeeding a close understanding of the trends and its implications for ADM services Startups build promising end-to-end solutions, e.g.Poolside AI, Cursor AI Top three trends in application services ▪Application rationalizationas a precursor to modernization: Prevents technical debt, eliminates redundant systems, and provides visibility for effectivemodernization▪Productivity commitmentas the holy grail of gen AI investments: Gen AI is at the center of all investments and productivity gains are the primary expectation▪Integrated managed servicesbecoming the norm:Ensures value maximization through unified tools, platforms, talent models, and delivery frameworks What our competitors are investing into?[2] Agentic AI and IT-OT convergence emerge as key investment levers Client expectations are reshaping ADM engagements Evolution ofoutsourcing and IT Outsourcing has evolved from cost-centric outsourcing to autonomous ecosystems Embracing cloud-native architectures,agile-at-scale, and DevOps to acceleratedelivery and improve responsiveness Leveraging Gen AI, hyper-automation, andoutcome-based models to driveintelligent operations and sustainable IT Enabling self-healing systems and agenticAI to foster strategic co-innovation andautonomous service delivery Focused on SLA-driven delivery and costreduction through offshore models andstandardized processes Agentic AI and strategic co-innovation Cloud-native and agile delivery Autonomous and agentic services Intelligent managed services Digital-first managed services Traditional outsourcing •Managed services are evolving withautonomous AI systems that self-healand adapt, requiring little humaninvolvement•While collaboration between clients andproviders creates intelligent, predictive,and resilient IT operations •Intelligent services leverage Gen AI,hyper-automation, and outcome-based models to enhance operations,promote innovation•Supporting ESG goals, improvingefficiency, reducing costs, andboostingUX •Thisphasesaw a move to cloud-nativedesigns, agile-at-scale, andDevOps,with managed services•Focusing on digital transformationand flexible, scalable, platform-basedsolutions to meet client needs Technology levers address business imperatives for modern enterprises Evolve yourITwith AIand solve for IT operations Turning clients’AI ambitioninto measurablebusiness impact Gen AI at the core: Reinventing ADM roles and delivery From roles to value chains: How agentic AI bots transform ADM •What’s working?•Gen AI adoption is strongin testing and QA,driven bystructured inputs, repeatable tasks enabling highautomation accuracy•Maintenance and monitoring benefitfrom matureAIOps, handling incident prediction, root causea