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Ensure AI Initiatives Deliver Measurable Commercial Impact

Bring financial discipline to innovation that lasts

The massive cost of GenAI and LLMs should not come at the expense of profit. We implement specialized governance to ensure your AI initiatives—from complex model training to next-generation autonomous agent deployments—are capital-efficient, scalable, and deliver maximum measurable commercial impact.

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Maximum
ROI on AI
6
Weeks to Roadmap
Clear
Unit Economics
$49.5K
Starting Investment
Overview

What is FinOps for AI?

The massive cost of GenAI and LLMs should not come at the expense of profit. We implement specialized governance to ensure your AI initiatives—from complex model training to next-generation autonomous agent deployments—are capital-efficient, scalable, and deliver maximum measurable commercial impact. We bring financial discipline to innovation that lasts.

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AI Profitability Audit & Roadmap (6-week focused engagement)

AI/GPU Cost Governance with clear unit economics

AgentOps Integration for autonomous AI management

Cost-to-train and cost-to-serve tracking

Continuous Managed FinOps for AI (CMF-AI) for sustained profitability

The Challenge

Why FinOps for AI is Critical

AI costs can destroy profitability without proper governance

Capital Efficiency

Ensure massive GenAI and LLM investments are capital-efficient and don't come at the expense of profit.

Model Profitability

Track cost-to-train and cost-to-serve with clear unit economics for all AI/ML models.

AgentOps Management

Govern cost, performance, and risk of autonomous AI agents built on LLMs.

Scalable Innovation

Make AI initiatives scalable and deliver maximum measurable commercial impact.

Our Approach

Our AI FinOps Delivery Process

Specialized approach to AI financial governance

1
1

AI Profitability Audit & Roadmap

Week 1-6

Focused engagement delivering clear unit economics and optimization strategies for high-cost AI workloads.

Key Deliverables:

Comprehensive AI workload analysis
Unit economics for all models
Cost-to-train and cost-to-serve metrics
Optimization roadmap with priorities
2
2

AI/GPU Cost Governance Implementation

Ongoing

Deploy specialized programs to track and optimize AI model profitability.

Key Deliverables:

Cost tracking systems
GPU optimization strategies
Model profitability dashboards
Governance frameworks
3
3

AgentOps Integration

Ongoing

Implement governance for autonomous AI agents including cost, performance, and risk management.

Key Deliverables:

Agent cost tracking
Performance monitoring
Risk management protocols
Optimization recommendations
4
4

Continuous Managed FinOps for AI (Optional)

Recurring

Lock in model profitability with continuous monitoring and optimization for dynamic AI environments.

Key Deliverables:

Monthly profitability reviews
Continuous optimization
Dynamic environment adaptation
Long-term governance maintenance

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Let's discuss how our proven process can deliver results for your organization.

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The Results

AI FinOps Impact

Maximum ROI

Maximized ROI

Ensure AI investments deliver maximum measurable commercial impact

Clear economics

Model Profitability

Clear unit economics for cost-to-train and cost-to-serve across all models

Profitable agents

Agent Efficiency

Capital-efficient autonomous agents with governed cost and performance

6 weeks to roadmap

Rapid Clarity

Comprehensive audit and roadmap delivered within 6 weeks

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Success Story

AI FinOps Success Story

Leading AI-First SaaS Platform

The Challenge

GenAI features consuming $800K monthly with no profitability visibility or cost governance

Our Solution

Implemented AI Profitability Audit followed by AI/GPU Cost Governance and CMF-AI

The Results

$420K monthly savings (52.5% reduction)
Clear unit economics for all 15 AI models
Autonomous agents operating profitably
10x ROI on AI investments achieved and sustained

Ready to achieve similar results?

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FAQs

Common Questions

How is AI FinOps different from Cloud FinOps?

AI FinOps is specialized for the unique challenges of GenAI and LLMs. We focus on unit economics (cost-to-train, cost-to-serve), model profitability, GPU optimization, and autonomous agent governance—challenges not addressed by traditional cloud cost management.

What is included in the AI Profitability Audit?

Our 6-week audit delivers comprehensive analysis of all AI/ML workloads, clear unit economics for each model, cost-to-train and cost-to-serve metrics, GPU utilization analysis, and a prioritized optimization roadmap with expected ROI.

What is AgentOps Integration?

AgentOps focuses on governance and optimization of autonomous AI agents built on LLMs. We track agent costs, optimize performance, manage risks, and ensure agents operate capital-efficiently at scale.

What is Continuous Managed FinOps for AI (CMF-AI)?

CMF-AI is our optional recurring service that locks in model profitability long-term. It provides continuous monitoring, optimization for dynamic AI environments, and governance maintenance as your AI initiatives evolve and scale.

Which AI platforms and models do you support?

We support all major platforms including OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Azure OpenAI, and open-source models. Our expertise spans the full AI ecosystem including custom model training and deployment.

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Get Started

Ready to Maximize AI ROI?

Start with AI Profitability Audit

1

Initial Consultation

Discuss your AI initiatives and cost challenges

2

AI Profitability Audit

6-week focused engagement delivering unit economics and roadmap

3

Governance Implementation

Deploy AI/GPU cost governance and AgentOps integration

4

Sustained Profitability (Optional)

Continuous Managed FinOps for AI for long-term optimization

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No commitment required
30-minute discovery call
Custom solution proposal