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AI Investment ROI Analysis

FY 2026 Year-to-Date (January - May) | Prepared June 2026

Executive Summary

AI ROI is not one number—it is a portfolio readout. Your organization has invested $11.6M in AI initiatives year-to-date, with 100% flowing through Microsoft Azure. The return is real but uneven. Customer support automation is the value engine delivering measurable efficiency gains, while Sales Copilot represents a license cleanup opportunity and GPU-equivalent workloads carry a governance gap that must close before further scale.

The immediate optimization opportunity is 15-25% of controllable AI spend — achievable through active license reclamation, model-tier optimization (shifting eligible workloads from GPT-4o to GPT-4o-mini), and project-level budget governance on the fastest-growing consumption lines.

$11.6M

Total Investment YTD

$2.43M

Current Run Rate

$4.1M

Peak Month (April)

$1.5M

Net Efficiency Opportunity (CX)

Investment Profile

Spend by IT Tower

54%

38%

Application

Compute

Storage

Network

Application tower dominates at 54% ($6.3M), reflecting the Azure OpenAI API consumption for customer-facing and internal AI agents.

Compute accounts for 38% ($4.5M), covering the inference processing layer.

ROI Evidence: Three Lenses

1. Value Created — Customer Support Automation

The clearest value case in the portfolio. The CX AI Agent is the single largest AI workload at $1.82M YTD, processing customer interactions through an LLM agent tier.

Metric	Value
AI Spend (CX Agent)	$1,823,046
Resolved Interactions (est.)	410,000
Cost per Resolved Interaction	$1.22
Human Equivalent Cost	$2.0M
Net Efficiency Opportunity	$1.5M

2. Waste Avoided — License Efficiency (Sales Copilot)

Sales AI Tools show characteristics of a license efficiency issue. Low utilization relative to licensed seats points to a need to reclaim unused licenses.

3. Governance Required — Unbudgeted Growth

The most significant finding: $0 budget and $0 forecast are allocated against $11.6M of actual spend. The April spike ($4.1M) went undetected until after the fact.

Value-Creating (CX Automation) - 54%

Productive (Analytics & Eng) - 32%

License Efficiency Risk - 8%

Governance Gap (Unbudgeted) - 6%

Unified

One system for AI Economics, FinOps and TBM.

Connects data, tools and workflows into a single platform, breaking down operational and financial silos.

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AI integrated throughout.

Structures work so insights lead naturally to next steps, with Yarken AI agents assisting execution under guardrails defined by you.

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Understands your business, not just your data.

Yarken AI agents are built with your domain's language, rules and systems: cost models, taxonomies, cloud and SaaS structures; so they reason across data, roles and intent rather than misapplying logic across contexts they don't understand.

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Power without complexity.

Define rules, workflows and automation without writing code, enabling change without engineering dependency.

Integrated

Built to fit into how work gets done.

Extends Yarken workflows across the surrounding tool landscape, keeping work connected without disruption.

High-Velocity

Built for speed at every layer, even with large datasets.

Engineered for responsive interfaces, fast decision cycles and efficient execution across real-time and batch workloads.

Diagram of Yarken's unified IT spend platform connecting to cloud, SaaS, infrastructure, and finance data sources to build a single model where TBM and FinOps run on one truth

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Built on your reality.

We connect cloud, SaaS, infrastructure, finance and AI spend data to create one model where AI Economics, TBM and FinOps run on a single source of truth.

From complexity to insight.

Ask questions in natural language and get finance-grade output: cost drivers, unit costs, total cost of ownership and optimization opportunities across cloud, SaaS, infrastructure and AI.

Yarken AI agents do the work.

Yarken AI agents automate allocations, enforce governance guardrails and identify the root causes of variance.

Always explainable with AI Studio.

Built on a deterministic AI model, every answer is traceable to its data and logic, so Finance can trust it and IT can act on it with full confidence.

The result.

You stop funding waste across AI, labour, SaaS, cloud and IT and start proving return on what comes next.

AI Economics, TBM and FinOps. In One Platform.

Hello!

AI Investment ROI Analysis

Executive Summary

Investment Profile

Spend by IT Tower

ROI Evidence: Three Lenses

1. Value Created — Customer Support Automation

2. Waste Avoided — License Efficiency (Sales Copilot)

3. Governance Required — Unbudgeted Growth

Recognised by industry analysts

The Unified Technology Cost & Value Platform for AI Economics, TBM and FinOps

Unified

One system for AI Economics, FinOps and TBM.

Connects data, tools and workflows into a single platform, breaking down operational and financial silos.

AI-Native

AI integrated throughout.

Structures work so insights lead naturally to next steps, with Yarken AI agents assisting execution under guardrails defined by you.

Domain-Aware

Understands your business, not just your data.

Yarken AI agents are built with your domain's language, rules and systems: cost models, taxonomies, cloud and SaaS structures; so they reason across data, roles and intent rather than misapplying logic across contexts they don't understand.

No-Code

Power without complexity.

Define rules, workflows and automation without writing code, enabling change without engineering dependency.

Integrated

Built to fit into how work gets done.

Extends Yarken workflows across the surrounding tool landscape, keeping work connected without disruption.

High-Velocity

Built for speed at every layer, even with large datasets.

Engineered for responsive interfaces, fast decision cycles and efficient execution across real-time and batch workloads.

Intelligent AI & Technology Cost and Value Management

Built on your reality.

From complexity to insight.

Yarken AI agents do the work.

Always explainable with AI Studio.

The result.

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