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Execute the Carveout. Protect the Business. Meet the Timeline
Application carveouts under TSA timelines carry three compounding risks: technical complexity, execution speed, and business continuity. Traditional carveout models rely on manual effort that cannot move fast enough. Xoriant applies AI intelligently across layers from portfolio disposition through autonomous cutover to reduce risk, accelerate separation, and deliver clean system independence on time.
Carveouts That Close on Schedule
Every application carveout starts with a deadline that doesn’t move. TSA timelines create hard constraints on how fast systems must be separated, re-platformed, and independently operational. The organisations that succeed are not those with the largest teams - they are the ones with the most precise execution. Xoriant applies AI to accelerate every phase: AI-driven portfolio disposition, application separation, autonomous cutover orchestration, and real-time TSA exit tracking.
Guided by Human Ingenuity and AI, our carveout practice combines M&A engineering depth with autonomous execution capabilities giving leadership real-time visibility into carveout progress while AI handles the orchestration complexity that would otherwise require large manual teams. The result is faster separation, lower risk, and a cleaner technical outcome at the end of the TSA period.
Overarching philosophy of HI/AI
House of Xfactors make it happen
How Can We Help?
Portfolio Disposition (6R)
App Separation & Re-platforming
Integration Separation
Autonomous Cutover
TSA Exit Tracking
Portfolio Disposition (6R)
Portfolio Disposition (6R)
AI-driven assessment of every application against six disposition strategies: Retain, Retire, Re-host, Re-platform, Refactor, and Rebuild producing a prioritised plan that sequences carveout work with risk and effort in view.
App Separation & Re-platforming
App Separation & Re-platforming
Decouple and migrate applications from the parent environment. AI-assisted dependency mapping identifies coupling points and recommends separation sequences that minimise business continuity risk.
Integration Separation
Integration Separation
Rebuild independent integration layers that replace shared connectivity severed by the carveout. AI-assisted re-engineering ensures new integrations are secure, scalable, and independently operable.
Autonomous Cutover
Autonomous Cutover
AI-orchestrated transition execution at separation day. Automated sequencing, validation, and rollback capabilities replace manual runbooks reducing cutover risk and compressing execution time.
TSA Exit Tracking
TSA Exit Tracking
Real-time dashboards track carveout progress against TSA milestones, giving leadership full visibility into workstream status, risk exposure, and remaining obligations throughout the separation period.
Case Study
Fortifying Application Security for a B2B Data Provider Using the SSDLC Approach
Robust app security results in secured, compliant and risk-free apps.
Case Study
Fortifying the Banking Frontlines with Improved Network and Security
Automated device hardening from weeks to minutes without errors.
Case Study
Faster Big Data Testing and Migration with Metadata-driven Framework
60% Improved Delivery Efficiency Using Test Automation During Migration From SQL Server to Snowflake.
Accelerators
Built to Accelerate What Matters Most
Differentiators
Engineering at the Xoriant Scale
Evidence-Based Maturity Scoring
Structured assessment methodology across four levels producing scores that are comparable across teams and repeatable across engagement cycles.
Transformation Roadmap Precision
Wave-based roadmaps link directly to the gap backlog: every initiative is connected to a specific maturity gap, not generic best practice or vendor recommendations.
Autonomous Cutover Execution
Automated cutover sequencing replaces error-prone manual runbooks, compressing execution windows and enabling instant rollback when validation gates fail during the separation event.
Real-Time TSA Visibility
Leadership dashboards provide live progress tracking against TSA obligations eliminating the reporting delays that create deadline risk in traditional carveout programmes.
Keeping You Updated
FAQ
AI-Led Application Carveout
What is an AI-led application carveout?
An AI-led application carveout uses AI-driven portfolio disposition, automated dependency mapping, AI-assisted integration re-engineering, and autonomous cutover orchestration to execute system separations faster, with lower risk, under tight TSA timelines.
What is a 6R portfolio disposition assessment?
A 6R assessment evaluates each application against six disposition strategies: Retain, Retire, Re-host, Re-platform, Refactor, and Rebuild producing an AI-prioritised plan that sequences carveout work based on risk, effort, and TSA timeline constraints.
How does AI reduce risk during application separation?
AI-assisted dependency mapping identifies hidden coupling points that manual reviews miss. Separation sequences are designed around these dependencies, reducing the likelihood of post-separation outages or data integrity issues.
What is autonomous cutover and how does it work?
Autonomous cutover uses AI orchestration to execute the separation sequence validating each step, triggering rollback if validation gates fail, and compressing the execution window. It replaces error-prone manual runbooks with automated, auditable execution.
How does Xoriant track TSA exit progress?
Xoriant provides real-time leadership dashboards tracking carveout workstream status, milestone completion, risk exposure, and remaining TSA obligations giving leadership the visibility needed to manage deadline risk throughout the separation programme.
How long does a typical AI-led carveout engagement take?
Duration depends on portfolio size and TSA timeline. Xoriant’s AI-accelerated approach typically compresses carveout timelines significantly versus traditional manual approaches with disposition assessment complete in the first two to four weeks.
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