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Regulatory Reporting Excellence: How a Global Bank Improved
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Everyone Can Ship One Agent. Few Can Run Fifty
An agent that works once is a demonstration. Fifty of them is an operating problem: nobody can say how many are running, who to page when one misbehaves, or what a completed unit of work actually costs. Xoriant works alongside platform and operations teams to put that estate under management, building the discovered register with named owners and risk tiers, the business signals that sit beside the technical ones, and the attribution that puts spend back on the team that caused it.
Named Owners. Measured Cost. Estates You Can Run.
The hard part of enterprise AI is not the first agent. It is the fiftieth. Agents built by teams that have since moved on, risk tiering applied to models but not to the agents calling them, spend visible in total but never by workload, and run effort quietly eating the saving the build was funded on.
Xoriant pairs platform engineers who have operated agentic estates under audit with the ORIAN 10x delivery framework, putting Human Ingenuity and AI (HI/AI) to work on the registers, guardrails, metering and remediation loops that let an estate grow without the run cost growing with it.
Overarching philosophy of HI/AI
House of Xfactors make it happen
How Can We Help ?
The Discipline That Keeps AI Running
Agent Lifecycle Management
FinOps for AI
Agent Operations and Vulnerability
Release Assurance
Agent Lifecycle Management
Agent Lifecycle Management
Everything running carries a named owner, a risk tier and a review date, and the delivery pipeline refuses to ship an agent missing any of the three.
FinOps for AI
FinOps for AI
A cost per completed unit of work, attributed to a team and a process, with budgets enforced at the gateway where they bite rather than reported after the fact.
Agent Operations and Vulnerability
Agent Operations and Vulnerability
Run effort falls, and a newly disclosed weakness is found, assessed and fixed across the estate at pace with regression proof attached to every automated fix.
Release Assurance
Release Assurance
A rebuild reaches its change window with proof that it behaves like the thing it replaces, so the change board gives a first-pass approval instead of a deferral.
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.Register
Discovers everything running on the platform, assigns each an owner, a risk tier and a review date, and gates the pipeline against anything unowned.
AI.Guard
Enforces what an agent may say, see and do at the moment of the call, from rules written out of your own policy documents rather than a generic safety list.
AI.Observe
Watches the estate on the tools you already run, reporting task success, escalation rate and cost per completed unit alongside latency and errors.
AI.Meter
Attributes what AI actually cost to the team, the process and the completed business outcome, with budgets enforced at the gateway where they bite.
Keeping You Updated
Webinar and Podcast
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FAQ
Intelligent Operations
What are Intelligent Operations?
Intelligent Operations combine AI, automation, observability, and governance to help enterprises manage and scale AI systems in production.
Why do organizations need AI operations at scale?
As AI adoption grows, organizations need visibility into ownership, performance, cost, and risk across their AI estate to maintain control and accountability.
How does Xoriant help manage enterprise AI operations?
Xoriant helps organizations establish agent lifecycle management, AI observability, governance controls, and operational frameworks for scalable AI adoption.
What is AI FinOps?
AI FinOps helps organizations monitor, optimize, and govern AI spending by linking costs to workloads, teams, and business outcomes.
How does Xoriant improve visibility across AI estates?
Xoriant provides asset discovery, ownership tracking, observability, and operational monitoring to help enterprises manage AI systems with confidence.
What outcomes can organizations expect from Intelligent Operations?
Organizations can improve AI reliability, reduce operational overhead, optimize costs, strengthen governance, and scale AI initiatives more effectively.
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