FinOps is an operational framework that brings financial accountability to cloud spending...

Ask Yarken

Hello!

How can I help you analyze your data today?

ai_investment_roi_analysis.html

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 TBM and FinOps.

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

Agentic

Supports decisions and actions.

Structures work so insights lead naturally to next steps, with agents assisting execution under human control.

Context-Aware

Understands business objectives.

Reasons across data, roles, and intent to respond based on what matters now, not just what was asked.

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.

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

Illustration showing Yarken automating IT finance workflows including cost allocations, reallocation, governance guardrails, monthly close preparation, variance analysis, and stakeholder reporting

Illustration of AskYarken AI interpreting IT spend complexity into plain-language insights including cost drivers, unit costs, allocation impacts, forecast shifts, and cloud optimisation opportunities

Illustration showing Yarken's governed AI model with full explainability — surfacing source data, logic, and reasoning behind every IT spend decision so finance and IT teams can trust and act on it

Illustration representing the outcome of unified IT financial management — every technology dollar visible, every investment accountable, and the organisation prepared for the next wave of change

Built on your reality.

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

From complexity to insights.

Ask questions in natural language and get finance-grade output: cost drivers, unit costs, and optimization opportunities.

The system does the work.

Yarken automates allocations, governance guardrails, and variance root-cause identification automatically.

Always explainable.

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.

Every dollar is visible. Every investment is accountable. Your organization is ready for what’s next.

One platform. TBM and FinOps. Built for the AI era.

Hello!

Yarken named a Top 10 finalist at SuperAI 2026

The ITFM platform with
every feature built to perform