Capture AI opportunities consistently
Ideas, pilots, vendor evaluations, and AI initiatives are submitted through a structured intake process so every request has the context needed for review.
SOLUTIONS: FOR AI INVESTMENT GOVERNANCE
SOLUTIONS: FOR AI INVESTMENT GOVERNANCE
SOLUTIONS: FOR AI INVESTMENT GOVERNANCE
Coordinate AI investment across your organization
Coordinate AI investment across your organization
Coordinate AI investment across your organization
KangaROI helps organizations evaluate, coordinate, and govern AI investment through structured business cases, collaborative workflows, and measurable outcome tracking.
With kAI embedded into the process, teams submit stronger proposals while leadership gains visibility across overlapping initiatives, duplicated spend, and strategic alignment.
KangaROI helps organizations evaluate, coordinate, and govern AI investment through structured business cases, collaborative workflows, and measurable outcome tracking.
With kAI embedded into the process, teams submit stronger proposals while leadership gains visibility across overlapping initiatives, duplicated spend, and strategic alignment.
KangaROI helps organizations evaluate, coordinate, and govern AI investment through structured business cases, collaborative workflows, and measurable outcome tracking.
With kAI embedded into the process, teams submit stronger proposals while leadership gains visibility across overlapping initiatives, duplicated spend, and strategic alignment.
THE AI PROBLEM
THE AI PROBLEM
Most organizations don’t have an AI tooling problem. They have an AI governance problem.
Most organizations don’t have an AI tooling problem. They have an AI governance problem.
AI demand is accelerating across every department, region, and business unit. But in many organizations, investment requests are still evaluated through disconnected spreadsheets, inconsistent proposals, and fragmented approval processes.
AI demand is accelerating across every department, region, and business unit. But in many organizations, investment requests are still evaluated through disconnected spreadsheets, inconsistent proposals, and fragmented approval processes.
Fragmented initiatives across teams
Different regions and departments often evaluate similar vendors, pursue overlapping use cases, or select separate solutions without visibility into what others are doing.
Fragmented initiatives across teams
Different regions and departments often evaluate similar vendors, pursue overlapping use cases, or select separate solutions without visibility into what others are doing.
Fragmented initiatives across teams
Different regions and departments often evaluate similar vendors, pursue overlapping use cases, or select separate solutions without visibility into what others are doing.
No consistent way to evaluate requests
Some proposals arrive with detailed ROI assumptions and strategic alignment, while others are little more than ideas.
No consistent way to evaluate requests
Some proposals arrive with detailed ROI assumptions and strategic alignment, while others are little more than ideas.
No consistent way to evaluate requests
Some proposals arrive with detailed ROI assumptions and strategic alignment, while others are little more than ideas.
Leadership lacks portfolio visibility
Organizations struggle to understand where AI investment is happening, what outcomes are expected, and which initiatives are actually delivering value.
Leadership lacks portfolio visibility
Organizations struggle to understand where AI investment is happening, what outcomes are expected, and which initiatives are actually delivering value.
Leadership lacks portfolio visibility
Organizations struggle to understand where AI investment is happening, what outcomes are expected, and which initiatives are actually delivering value.
THE PLATFORM
THE PLATFORM
A shared operating layer for AI investment decisions
A shared operating layer for AI investment decisions
KangaROI helps organizations standardize how AI opportunities are proposed, reviewed, prioritized, and measured, creating a more consistent and controlled approach to AI investment.
KangaROI helps organizations standardize how AI opportunities are proposed, reviewed, prioritized, and measured, creating a more consistent and controlled approach to AI investment.
How AI governance works with KangaROI
2
Identify overlap and collaboration opportunities
Related AI initiatives, vendor evaluations, and shared capability needs are surfaced early so teams can collaborate, consolidate efforts, and avoid duplicating work.
3
Align stakeholders through governance workflows
Finance, technology, operations, risk, and leadership teams collaborate through a shared review process to assess fit, priority, risk, and expected value.
4
Build a register of AI decisions
Every decision is captured in a central register, creating a clear record of what was approved, deferred, consolidated, or rejected, along with the reasoning behind each decision.
PORTFOLIO VISIBILITY
PORTFOLIO VISIBILITY
See every AI investment moving through governance in one place.
See every AI investment moving through governance in one place.
Bring every AI initiative into a single operating view. See what's being proposed, how decisions are progressing, and which initiatives need attention, so that your portfolio keeps moving forward with confidence.
Bring every AI initiative into a single operating view. See what's being proposed, how decisions are progressing, and which initiatives need attention, so that your portfolio keeps moving forward with confidence.
Centralized pipeline
Capture every initiative and proposal in one portfolio-wide view
Consistent governance
Apply a uniform framework for evaluation, approvals, and oversight.
Clear decision status
Track progress so you can see what’s moving, blocked, or waiting.
GOVERNANCE OUTCOMES
GOVERNANCE OUTCOMES
Governance that helps organizations make smarter AI decisions
Governance that helps organizations make smarter AI decisions
Create a consistent framework for evaluating AI initiatives, aligning stakeholders, managing risk, and maintaining oversight as AI adoption scales across the organization.
Create a consistent framework for evaluating AI initiatives, aligning stakeholders, managing risk, and maintaining oversight as AI adoption scales across the organization.
Enable cross-functional innovation
Create a shared process for evaluating AI initiatives across strategy, risk, compliance, cost, and operational impact.
Reduce governance bottlenecks
Replace fragmented approvals and disconnected spreadsheets with a repeatable evaluation framework that scales with adoption.
Improve visibility across AI initiatives
Track proposals consistently across departments and maintain clear oversight as AI usage expands across the organization.
Strengthen accountability and oversight
Document assumptions, ownership, governance decisions, and approval pathways in a centralized system.