AI FinOps Services

AI FinOps Services for Enterprise AI Cost Management

Xcelore offers you complete FinOps services that assist you get the best return from your AI expenditures by helping you gain insight on costs, improving your models, optimizing infrastructure, governing, forecasting and adding value to your investments.

Optimize Your AI Costs

Build a Smarter Approach to AI Spending with Xcelore

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50+
Enterprise Projects Delivered
40+
Global Business Supported
175+
Engineers & Technology Experts
3+
Years of Product Engineering

AI FinOps Services for Cost Management and Optimization

AI FinOps Services offered by us will allow your company to have visibility in relation to AI cost, utilization, controls, ROI, and continuous optimization of AI spending.

AI Cost Audit and Baseline

Audit your API billing, utilization, model choice, and infrastructure. We then provide you with the right insights into how your money is being spent and help you devise a strategy to save money.

AI Cost Visibility and Attribution

Monitor the costs related to AI per team, product, model, environment, and client, and we will give you a report on this.

AI Cost Optimization

Identify money that is wasted, underutilization of servers, and expensive AI services and help you save money without compromising the performance of your system.

LLM and Inference Cost Optimization

Language models costs reduction using model selection, routing, caching, prompt engineering, and zero token wasting.

GPU and AI Infrastructure Optimization

Optimization of GPU and servers usage on AWS, Azure, and Google Cloud through efficient scaling, auto-scaling, and smart scheduling of servers.

AI Unit Economics and ROI Analytics

Organize your cost per request, conversation, user, or task in a way that will make it simple to calculate ROI from AI.

AI Spend Governance and Controls

Define your cost limit, quotas, budget, approvals, and notifications to avoid unforeseen AI spending.

AI Cost Forecasting and Planning

Forecast your future AI costs based on usage trends and product growth in order for engineering and finance teams to be able to plan.

AI FinOps Automation

Automate the detection of anomalies, identification of wasteful costs, alerts, and savings tracking.

Find Out Where Your AI Spending Can Be Optimized

Assess your AI environment to find out ways to save money through spending trends, ineffective workload, infrastructure, and optimization opportunities for more business value with AI.

Assess Your AI Spend

AI FinOps for Industry-Specific AI Environments

We tailor AI cost management to suit the technological environment, use cases, operational needs, and business requirements of various industries.

ISVs

Manage the costs of AI or infrastructure usage  in your software products, systems, and internal development tools.

BFSI

Reduce AI costs for your financial solutions, payments, risk analytics, and customer solutions software.

FinTech

Reduce AI costs in your financial products, platforms, analytics, automation, and customer AI.

Retail

Monitor and reduce AI costs for your online store, recommendation system, customer service software, and sales analytics software.

Manufacturing

Control AI costs in your factory software, vision inspection system, automation and plant analytics.

Logistics

Reduce AI costs for your supply chain software, route planning software, warehouse automation and operations monitoring.

Travel

Control AI costs, in your booking systems, customer service, personalized offers and operations planning software.

SaaS

Reduce AI infrastructure and API costs in your SaaS applications, platform, customer accounts and internal business tools.

Healthcare

Control over costs of AI in healthcare-related applications, clinical analytics, patient engagement, medical imaging, automation, and healthcare operations.

Education

Optimization of costs of AI in learning platforms, personalized education, content creation, student services, assessments, and education analytics.

Are You Looking to Optimize AI Costs for Your Industry?

Optimize AI Costs Around Your Industry
  • Industry-specific AI usage & cost patterns
  • AI spend, utilization & cost visibility
  • AI tools, models & technology ecosystem
  • Cost optimization with measurable AI ROI
  • Smart and optimal cost decision-making

Xcelore Offers Secure AI Cost Management and Governance

Control AI cost and use securely within cloud accounts, models, APIs, telemetry, and costing data. Xcelore ensures secure access and use information along with ensuring cloud security, privacy, AI governance, and financial data as appropriate.

Security

  • Cloud IAM
  • API Key Security
  • Usage Data Protection
  • Model Access Controls
  • Spend Monitoring

Compliance

ISO/IEC 27001

ISO/IEC 27001

NIST CSF

NIST CSF

SOC 2

SOC 2

ISO/IEC 42001

ISO/IEC 42001

DPDP Act

DPDP Act

CCPA/CPRA

CCPA/CPRA

PDPL

PDPL

GDPR

GDPR

Technology Stack for AI FinOps Services

OpenAI Usage APIs

OpenAPI

Azure OpenAI

 Azure OpenAI

Amazon Bedrock

Amazon Bedrock

Google Vertex AI

Google Vertex AI

LangSmith

LangSmith

Arize

Arize

OpenTelemetry

OpenTelemetry

Grafana

Grafana

Prometheus

Prometheus

Langfuse

Langfuse

SigNoz

SigNoz

Python

Python

SQL

SQL

Snowflake

Snowflake

Databricks

Databricks

Power BI

Power BI

Google Cloud Billing

Google Cloud Billing

Kubernetes

Kubernetes

OpenAI Usage APIs

OpenAPI

Azure OpenAI

 Azure OpenAI

Amazon Bedrock

Amazon Bedrock

Google Vertex AI

Google Vertex AI

LangSmith

LangSmith

Arize

Arize

OpenTelemetry

OpenTelemetry

Grafana

Grafana

Prometheus

Prometheus

Langfuse

Langfuse

SigNoz

SigNoz

Python

Python

SQL

SQL

Snowflake

Snowflake

Databricks

Databricks

Power BI

Power BI

Google Cloud Billing

Google Cloud Billing

Kubernetes

Kubernetes

Reduce AI Waste. Increase AI Value.

Move beyond just monitoring AI expenses through a more systematic process of detecting cost wastage, optimizing the use of models and infrastructure, and making your spending more efficient.

Our Approach to AI Cost Management and Optimization

Our process combines cost reviews, usage analysis, optimization, budgeting and monitoring to let you better manage your AI costs.

Assess AI Costs

Evaluate your current spendings on AI software, cloud hosting, language models, applications and hardware to have an expense baseline. 

Map Usage and Ownership

Document AI resource consumption by teams, products, environments and applications and set definition ownership for each line item on your bill.

Identify Optimization Opportunities

Find out where you can save money on unnecessary licenses, servers not in use, inefficient workloads processing and overpriced APIs. 

Establish Cost Controls

Set budgets, spending caps, cost allocations policies and real time alerts to be accounted as your usage increases.

Measure AI ROI

Link AI spendings to the time saved, costs reduced and performance achieved to estimate your ROI. 

Continuously Optimize

Monitor AI costs and server utilization daily to detect expenses spikes and optimize your policies. 

What Sets Xcelore Apart in AI FinOps Services?

We combine our expertise in AI, engineering, cloud, analytics and financial management to ensure that businesses have control of their AI costs and get the best possible return on their AI investments.

AI Cost Visibility

Get visibility into your entire AI spend by tool, team, model, applications, platform and workload.

Usage and Utilization Analytics

Gain insights into the way that AI resources are used and uncover cases of underutilization and inefficient usage.

Cost Optimization Expertise

Identify cost leakage, waste, inefficiency and opportunities for optimization in your AI infrastructure.

Spend Governance

Set budgets, ownership, controls, reporting and accountability around your AI spend.

ROI Measurement

Measure the ROI of your AI investment and tie it back to its usage, productivity and business value.

Continuous Optimization

Continuously measure your AI spend and usage to improve your AI cost management approach over time.

Let’s talk

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Frequently Asked Questions

What is AI FinOps?

Our AI FinOps is an established process for managing the cost of AI. It provides transparency in total utilization eliminates waste improves budgeting forecasts to help measure ROI.

Why does a business require AI cost management?

The costs for AI tend to increase fast as organizations implement more models, API endpoints, and cloud infrastructure. Cost management helps to get an understanding of how every dollar is used, minimize waste, and make sure that your AI projects bring value to your business.

How does AI FinOps help you avoid unnecessary AI costs?

We analyze your usage statistics, workload, and API invoices in order to find any over-provisioned resources, underused licenses, and inefficient code without affecting the platform’s performance.

Is it possible to control your AI costs on different platforms?

Yes, we create unified dashboards to control costs in cloud hosts, third-party APIs, language models, software licenses, and microservices.

How do you find cost leakage in AI?

We analyze billing statements, internet usage data, and logs from the activities on your systems to uncover any hidden costs, multiple software license costs, unused cloud resources, and any unnecessary API calls.

Can you analyze how AI is utilized?

Yes, we analyze the usage levels of your AI infrastructure by particular teams/projects and products for better visibility into AI usage and optimization.

How do you measure the ROI from investments in AI?

We analyze your costs related to the usage of AI technologies versus particular metrics of savings and other gains achieved due to using AI and provide you with ROI analysis.

Can you offer management of AI FinOps?

Yes, we provide FinOps Managed Services that will help to keep control over your daily costs, server configurations, budgets, and financial analytics of AI-powered software.

Turn AI Cost Management Into Business Value

Build lasting control over AI spending with better cost visibility, smarter optimization, and stronger governance. Connect AI investments to measurable outcomes and create a more efficient foundation for scaling AI across your organization.