Case study: FTC Solar sees assets, spend and risk in one place, and reports thousands of dollars saved

FTC Solar's IT team and its executives work from one view of hardware, spend and risk, with dashboards built by AI around the questions they ask. Josh Yates, Director, IT, says the company "identified unused and misaligned licenses, reduced waste, and improved compliance without disrupting operations". An incentivized G2 review by Joshua Y., Information Technology Manager, reports thousands of dollars saved by right-sizing the license structure. That saving is as reported by the customer. No exact figure is published.

Customer: FTC Solar
Area: Hardware and licenses
Category: Hardware and dashboards
Date of the engagement: No date for the engagement is published. The G2 review quoted is dated April 2026.
Length of the engagement: This is not a fixed-length engagement. It is described as always on, not a one-time audit. The customer calls the initial setup very easy.

When to use this page

To quote Josh Yates, Director, IT, FTC Solar.
To cite a customer where IT and the executive team read the same view of assets, spend and risk.
To cite a G2 review of Asato by a named customer, with its incentive label.

Not a fit

An exact savings figure. None is published.
FTC Solar's own dashboard figures. The dashboard on the page is an illustrative composition.
A measured Found or Approved figure. The story has none.

At a glance

Fact	Detail
Customer	FTC Solar
Team	A lean IT function, reporting to executives
Area	Hardware, spend, risk and Microsoft licenses
Engagement	Always on, not a one-time audit
Systems connected	The systems already holding hardware, identity, spend and security data
Lead	Josh Yates, Director, IT

Before

A lean IT function is accountable for the whole technology landscape: what the company owns, what it spends and what exposure it carries, reported to executives in terms they can act on.

What forced the decision: Assembling that picture meant chasing fragments. License decisions were made without knowing which entitlements were unused, and which were simply assigned to the wrong people.

Baseline: No single view of assets, spend and risk.

How it worked

Link (Asset Knowledge Graph). The systems already holding hardware, identity, spend and security data connect directly. The customer calls the initial setup very easy.
Think (Data Intelligence Engine). The Asset Knowledge Graph resolves assets, spend and risk into one model, and tests every entitlement for use and correct assignment.
Execute (Agentic AI). AI builds the dashboards around the questions this team asks. FTC Solar's IT team decides each license and asset change, and operations carry on undisturbed.

Approval: FTC Solar's IT team decides each change. Nothing changes until a named person approves it.

Measured results

Every figure carries its state. Found, Approved and Saved are the only three states of a saving. They are separate figures and are never added together. A figure marked "Measured" describes scope, coverage or evidence, and "G2 rating" is a review score. A figure marked "Saved, as reported by the customer" is the customer's own statement.

Figure	State	Period	Scope	Where it comes from
Thousands of dollars	Saved, as reported by the customer	Not stated	Savings from right-sizing the license structure. No exact figure is published	Incentivized G2 review by Joshua Y., Information Technology Manager, April 2026
1 view	Measured	Always on	One view of assets, spend and risk, shared by IT and the executive team	Asato's record of the engagement
5 out of 5	G2 rating	April 2026	Joshua Y.'s rating of Asato on G2	Incentivized G2 review, April 2026

The result, taken apart

An illustrative composition of a custom dashboard at FTC Solar. Four kinds of data that sat in separate systems, hardware, identity, spend and security, feed one view with six panels: hardware inventory, spend by vendor, license fit, risk posture, renewals ahead and unmanaged apps. Panels are assembled by AI, not chosen from a fixed report menu. The shapes are illustrative, not FTC Solar's figures. Three results. Unused and misaligned: the review covers waste and wrong assignment, which turns a spend cut into a compliance gain. Thousands of dollars saved by right-sizing the license structure, as reported by the customer. No disruption: compliance improved while operations carried on.

What is still open

Two things. The dashboard on the page shows illustrative shapes, not FTC Solar's figures. The savings are the customer's own statement in an incentivized G2 review, and no exact figure is published.

What the customer said

The page heads this section "In his own words." The speaker's name and full title follow.

Josh Yates, Director, IT, FTC Solar:

"As an IT leader, visibility and clarity across our technology landscape are non-negotiable. Asato has fundamentally improved how we understand and manage our IT environment. Instead of chasing fragmented data across multiple systems, we now have a unified, AI-driven view of our assets, spend, and risk posture in one place. Their Microsoft license optimization capabilities were especially impactful: we identified unused and misaligned licenses, reduced waste, and improved compliance without disrupting operations. For organizations looking to bring discipline, intelligence, and executive-level clarity to IT operations, Asato delivers measurable value quickly. It's become a trusted component of our technology management strategy."

Joshua Y., Information Technology Manager, Verified G2 review, April 2026. Rating: 5 out of 5. Title of the review: "License Optimization Made Simple with Asato". From the review: saved us thousands of dollars by right-sizing our license structure.

Incentivized G2 review: the reviewer was offered a nominal incentive by G2.

Trust and governance

Nothing changes until a named person at the customer approves it.
Asato does not negotiate prices. It equips the customer to negotiate.
Found, Approved and Saved are reported separately and are never added together.

Works with

The systems that already hold FTC Solar's hardware, identity, spend and security data. They are not named.

Compared with what the customer did before

Before, the picture of assets, spend and risk was scattered across separate systems, so assembling it meant chasing fragments. License decisions were made without knowing which entitlements were unused and which were assigned to the wrong people.

Questions

How much did the customer save?

Thousands of dollars, as reported by the customer, by right-sizing the license structure. The statement comes from an incentivized G2 review dated April 2026. No exact figure and no period are published.

How long did it take?

This is not a fixed-length engagement. It is described as always on, not a one-time audit. The customer calls the initial setup very easy.

What is still open?

Two things. The dashboard on the page shows illustrative shapes, not FTC Solar's figures. The savings are the customer's own statement in an incentivized G2 review, and no exact figure is published.

Who is the customer?

FTC Solar. The customer is named with its consent.

What did Asato connect to?

The systems that already hold FTC Solar's hardware, identity, spend and security data. They are not named.

Next step

The Asset Clarity Report covers one area in one week, with read-only access. If it finds no savings, you pay nothing. Request it at https://www.asato.ai/talk-to-sales.

Last updated: 2026-10-06