Why StitcherAI

Turn OpEx Chaos Into a Competitive Advantage For Your Enterprise

If you’re unfamiliar with the current landscape of FinOps, learn more about it here.

StitcherAI: The Modern FinOps Data Stack

Accelerate FinOps Maturity at a Fraction of the Investment of DIY Solutions

The FinOps Crossroads

Cloud+ (cloud, AI, SaaS, software, data center, internal) spend is rising rapidly. In 2024, a staggering 72% of CIOs and CFOs report that a lack of visibility and accountability is a primary concern. Time is of the essence: Every month, while FinOps teams fight fires, millions of dollars are wasted or misallocated. Enterprise leaders face a critical decision:

1. Use inadequate FinOps tools that:

Lack comprehensive data and modeling capabilities required for Walk-/Run-stage FinOps
Silo data, hindering integration and engagement from stakeholders across engineering/finance/business

2. Invest $2M/year in DIY solutions that:

Consume FinOps resources for data wrangling instead of high-ROI FinOps initiatives
Requires 12-24 months for initial value, ongoing maintenance, and scarce finance-inclined data/AI engineers

3. Adopt StitcherAI - the only platform that:

Delivers a customizable finance/FinOps data layer for Run-stage FinOps
Pushes FinOps data and insights to stakeholders' existing tools and business processes

Build ❌, Buy ❌, Stitch!

Till now, the FinOps ‘Build vs Buy’ decision was a lose-lose proposition. Current FinOps tooling primarily targets the Crawl-stage of FinOps and is a non-starter for advanced FinOps needs. To reach Walk- and Run-stage FinOps maturity, enterprises had to accept building costly in-house solutions (18-24 months, $2M+/year) and ongoing data wrangling headaches.

StitcherAI enables organizations to 'FinOps like the Fortune 50' at a fraction of the cost and time commitment.

With its AI-powered data engineering platform purpose-built for FinOps and finance users, StitcherAI fills the critical void between build and buy options.

Figure: StitcherAI - An AI-powered data engineering platform for FinOps

Delivering Results with StitcherAI

Successful FinOps practices have two key ingredients: a comprehensive FinOps data foundation and a team of FinOps superheroes who drive FinOps enablement and outcomes within the organization. With StitcherAI’s enterprise-grade FinOps data layer in place, your team of FinOps superheroes can deliver industry-leading impact, including:

A single, live, accurate, comprehensive cost and usage dataset to use throughout your organization (no more emailing stale spreadsheets)
Tailored data artifacts (reports, unit metrics, controls, and more) that your stakeholders need
FinOps data artifacts connected to the tools and processes where your stakeholders operate
Accurate forecasting based on signals found in granular data, not aggregated time-series predictions
Reactive and proactive cost governance capabilities evaluated in near real-time
Bandwidth to drive high-ROI 'final-mile' integrations and initiatives like optimization and accurate forecasting

Why StitcherAI is Different

StitcherAI is the only FinOps platform that offers a comprehensive suite of Run-stage FinOps capabilities. With it, you get:

The ability to unify cloud, SaaS, AI, data centers, and other costs for an accurate TCO cost model
Advanced cost modeling capabilities — attribution, allocation, and simulation capabilities at cloud-data scale
Simplified AI-assisted, no-code, cost modeling capabilities regardless of your finance-savviness
Conversion of all cost and usage data into FOCUS format
An innovative Finance-as-Code approach with version control and an audit trail
Minimal vendor lock-in — we use popular open standards and open-source data formats for all outputs

Best of all, StitcherAI doesn’t store your data! All data and artifacts get deleted after outputs are sent to the customer.

The Case for StitcherAI

Before StitcherAI, Walk-/Run-stage FinOps could only be achieved by building in-house, which isn’t practical for most. By choosing StitcherAI, our clients drive improved FinOps efficiency, accountability, and engagement. They achieve greater FinOps outcomes because their precious FinOps resources can now focus on high-ROI initiatives, such as optimization, enablement, education, and integrating FinOps data into internal tools and business processes, rather than data wrangling.

Cost Category	With a DIY Build	With StitcherAI
Time-to-Value (initial / production quality)	6 months / 24 months	2-4 weeks
Ongoing internal maintenance cost	$1-1.5M/year	$0.125-0.25M/year
Specialized data engineering FTE needed	3-5/year	None
Internal development (3-year) cost	$4-$5.8M	None
Time spent on high-ROI FinOps initiatives	Low	High
Missed FinOps opportunities	High	Low

Table: Cost of building in-house

FinOps teams are no longer satisfied with the status quo. They demand innovative solutions to get beyond the Crawl-stage of FinOps and not be charged 1% on their spend. StitcherAI listened and delivered.

“Building DIY FinOps tools was fun at the beginning, but it turned into an expensive 4-year investment. It’s impossible to find finance/FinOps-inclined software/Data/AI engineers to build enterprise-grade internal FinOps solutions. StitcherAI is FinOps magic! Now, our FinOps team is driving higher ROI FinOps initiatives, rather than spending time on data plumbing.”

— Head of Cloud Economics,

Multi-national HR Tech company

(half a billion Cloud+ spend)

We Get It

The StitcherAI team brings decades of experience across the FinOps landscape. As former FinOps tool vendors, Run-stage practitioners, FinOps Foundation leaders, and cloud experts, we’ve built the FinOps platform we always needed – and now we’re sharing it with you!

Next Steps

Join other FinOps leaders using StitcherAI to achieve industry-leading outcomes:

🔍 See StitcherAI in action: Book a demo

⚙️ Explore how StitcherAI supports your custom needs

🚀 Imagine your FinOps team—unburdened by data wrangling and focused on impact

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