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Regulatory Reporting Excellence: How a Global Bank Improved
Accelerating Basel III Compliance
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The 10X Ambition Realized
Great ideas don’t ship themselves. The teams that turn 10x ambition into reality know the difference between building fast and building right. Xoriant works alongside engineers, architects and product leaders to bring those ideas to life, advancing from AI-assisted to autonomous delivery, with human ingenuity and intelligent systems at the core.
Engineering That Adapts, Scales, and Delivers Business Value
AI-led engineering is not a tooling upgrade; it is a structural transformation in how engineering organisations operate. Xoriant guides enterprises through four maturity levels: Augmentation, Spec-driven Execution, Agent Chaining, and Autonomous Operation where the human role shifts from directing every step to governing outcomes, with measurable gains at each stage.
The North Star is an intent-driven SDLC; a governed loop where multi-agent code generation, autonomous QA and self-healing telemetry run end-to-end. Xoriant builds toward this progressively, advancing wave by wave with measurable benchmarks at every stage.
Overarching philosophy of HI/AI
House of Xfactors make it happen
How can we help?
Capabilities That Engineer Products Built to Outlast Their Launch
AI Engineering Consulting
AI Product & Platform Engineering
AI-Led Legacy Modernisation
Autonomous Operations
AI-Led Application Carveout
AI Developer Experience
AI Engineering Consulting
AI Engineering Consulting
Gain a clear AI maturity assessment and a wave-based transformation roadmap that moves engineering teams from tool adoption to agent-dominant delivery with measurable productivity benchmarks at every stage.
AI Product & Platform Engineering
AI Product & Platform Engineering
Launch AI-native MVPs in weeks, accelerate feature delivery on existing systems, and embed agentic capabilities for autonomous user experiences without growing headcount.
AI-Led Legacy Modernisation
AI-Led Legacy Modernisation
Retire technical debt and unlock AI adoption. Xoriant modernises architecture, APIs, databases and DevSecOps pipelines including MCP enablement to expose legacy systems to AI agents.
Autonomous Operations
Autonomous Operations
Reduce AMS cost and scale operations with AI-led L1–L3 support, proactive SRE, and agent governance shifting teams from reactive incident response to autonomous, continuous resilience.
AI-Led Application Carveout
AI-Led Application Carveout
Execute complex carveouts under tight TSA timelines with AI-orchestrated portfolio disposition, application separation, integration rebuild, and real-time cutover tracking.
AI Developer Experience
AI Developer Experience
Accelerate AI adoption across engineering teams with structured upskilling, ready-to-use development harnesses, a unified knowledge fabric, prompt governance, and quantified ROI measurement.
Case Study
Regulatory Reporting Excellence: How a Global Bank Improved
FR Y-14 Compliance
How a global bank improved FR Y-14 reporting, enhanced adjustment traceability, and strengthened consent order compliance with a governed data framework.
Case Study
Modernizing Financial Systems for a Global Bank
Ahead of Bulgaria’s legally mandated Euro (EUR) adoption on 1 January 2026, a leading global bank faced a non-negotiable regulatory deadline requiring enterprise-wide currency conversion.
Case Study
Accelerating Basel III Compliance
with First Time Right Regulatory Submissions
How a global bank leveraged GenAI to automate 7,000+ rules, standardize reporting, and minimize penalty risk across jurisdictions
Accelerators
Built to Accelerate What Matters Most
Differentiators
Engineering at the Xoriant Scale
Accelerated Innovation
AI-driven lifecycle automation reduces time-to-market and delivers resilient, scalable products across industries.
Deep Domain Expertise
200+ intelligent platforms engineered across Hi-Tech, Healthcare, Financial Services, Retail, and Manufacturing.
Future-Ready Scale
Cloud-native platforms and AI-native apps built to scale securely, supporting data-intensive workloads across sectors.
Data-Ready Infrastructure
Predictive engineering analytics and data-ready infrastructure designed to fuel AI models and automation pipelines.
Keeping You Updated
Upcoming Event
FAQ
Engineering Intelligence
What is AI Engineering Consulting and how does it help us get started?
AI Engineering Consulting starts with a maturity assessment that scores your current AI readiness across people, tools, and processes. From that baseline, Xoriant builds a wave-based transformation roadmap with defined milestones, moving your teams progressively toward agent-dominant delivery and quantifying the path to 10x engineering productivity.
How does AI Product & Platform Engineering accelerate delivery without growing the team?
Xoriant’s AI Product & Platform Engineering offering covers the full build spectrum: greenfield MVP launches in 6–8 weeks, accelerated brownfield feature delivery, agentic AI capabilities for autonomous user experiences, and fully autonomous engineering where AI executes the backlog with human-on-loop oversight, all without proportional headcount increases.
How does AI-Led Legacy Modernisation unlock AI adoption?
Legacy systems block AI adoption by creating integration debt and security risk. Xoriant’s AI-Led Legacy Modernisation addresses this at every layer: architecture transformation, API modernisation, technology migration, database re-platforming, DevSecOps uplift, and MCP enablement to expose legacy systems directly to AI agents.
What does Autonomous Operations mean for our support and reliability teams?
Autonomous Operations replaces traditional AMS with AI-led L1–L3 incident resolution, proactive AI SRE that predicts and prevents failures before they occur, and agent governance frameworks that monitor and optimise running agents. Support teams shift from reactive firefighting to higher-value engineering work.
How does Xoriant’s AI-Led Application Carveout reduce risk under TSA timelines?
Xoriant applies AI at every stage of the carveout: an AI-driven 6R portfolio disposition assessment, automated application separation and re-platforming, independent integration rebuilds, and autonomous cutover orchestration. Real-time TSA exit tracking gives leadership full visibility into progress against timeline obligations.
What does AI Developer Experience include, and how is impact measured?
AI Developer Experience covers five components: structured L1–L4 AI engineering training, ready-to-use harness environments that remove setup friction, a knowledge fabric giving teams unified access to engineering intelligence, prompt governance standards and guardrails, and AI ROI measurement that quantifies productivity gains — so adoption is both fast and provably valuable.
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