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Regulatory Reporting Excellence: How a Global Bank Improved
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The Pilot Worked. The Process Never Changed
Every automation programme covered the happy path and handed the exceptions back to people. The queue moved faster; the process kept its shape, and the cost per completed unit never shifted. Xoriant works alongside process owners and engineering teams to ask the harder question, which steps should exist at all once an agent can own one end to end, and then builds the agent composition, exception routing and governed write-backs that let it.
Whole Steps. Owned Exceptions. Cycle Time That Moves
Most transformation programmes automate the steps that already exist. That is why the second year rarely delivers what the first year promised: the happy path is fast, the exceptions still queue behind a person, and the number the process owner is measured on will not move without headcount.
Xoriant pairs forward-deployed engineers who have taken agentic processes into regulated production with the OrianTM 10x delivery framework, putting Human Ingenuity and AI (HI/AI) to work on the agent composition, exception taxonomies and governed write-backs that make a redesigned process defensible on the day it goes live.
Overarching philosophy of HI/AI
House of Xfactors make it happen
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Where Process Meets Intelligence
Process Reimagined
AI Economics
Software Displacement and Rebuild
Forward Engineering
AI Quality
Compounding AI Accuracy
Process Reimagined
Process Reimagined
Cycle time falls because agents own whole steps of the process rather than tasks inside it, the exception path included. That path is where every earlier automation programme quietly stopped.
AI Economics
AI Economics
Routing, context budget, model choice and data residency are decided at design time by policy, so the bill stops scaling with success instead of being discovered on the invoice.
Software Displacement and Rebuild
Software Displacement and Rebuild
A licence retires or a system nobody will touch gets rebuilt, with equivalence proven on a signed golden set before the change window rather than argued after it.
Forward Engineering
Forward Engineering
Software ships faster with a provenance trail the risk function accepts, so speed does not cost you the sign-off at the end of the cycle.
AI Quality
AI Quality
An AI system can be changed quickly without discovering later that behaviour nobody documented has broken, because the quality bar is a runnable test set in the pipeline.
Compounding AI Accuracy
Compounding AI Accuracy
Every correction a person makes is captured and fed back, so the system is measurably better this quarter than last instead of plateauing the week after go-live.
Case Study
Strengthening Salesforce Performance, Security, and Scalability for a Leading Manufacturer
Xoriant helped a leading manufacturer optimize Salesforce performance, strengthen security, modernize integrations, and build a scalable platform for future growth.
Case Study
Scaling Smarter: How a Real Estate Leader Reinvented Tableau in the Cloud
Our client is a leading single-family home rental company, managing large-scale operations across markets.
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.
Accelerators
Built to Accelerate What Matters Most
AI.Compose
Builds multi-step business work out of several agents and contracts the hand-off between them, so a case survives a failure, and a model change, with its state intact.
AI.Orchestrate
Decides per request which model answers, which knowledge it may see and which agent takes it, as one routing policy you own and can change without a redeploy.
AI.Tune
Tunes a smaller model to reach incumbent quality on one specific task, and delivers the evaluation set that proves it did rather than asking you to take it on trust.
AI.Connect
Turns systems of record into tools an agent can call, with per-agent identity instead of a shared key and a write-back path the owning team will approve.
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FAQ
Agentic Transformation
What is Agentic Process Transformation?
Agentic Process Transformation redesigns business workflows so AI agents can own and execute entire process stages, including exception handling and decision-making.
How is Agentic AI different from traditional automation?
Traditional automation follows predefined rules. Agentic AI can reason, adapt, orchestrate actions, and manage complex workflows across systems and processes.
How does Xoriant help enterprises adopt agentic AI?
Xoriant combines engineering expertise, process transformation capabilities, and proprietary accelerators to build governed, production-ready agentic workflows.
Which business processes are best suited for agentic transformation?
Customer service, sales operations, IT workflows, finance processes, and knowledge-intensive operations often benefit most from agentic AI adoption.
How does Xoriant ensure governance and control in agent-led processes?
We implement controlled orchestration, exception routing, audit trails, and governed write-backs to ensure enterprise-grade accountability.
What outcomes can organizations expect from agentic process transformation?
Organizations can reduce cycle times, lower operational costs, improve employee productivity, and scale business processes with greater efficiency.
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