Case study: CDW found about 15% of its productivity-suite spend idle, in four weeks
In a four-week engagement, CDW matched every entitlement to a user and to real usage across five source systems. Asato found that about 15% of productivity-suite spend sat with inactive or invalid accounts, that 150+ items in the long tail behind the ten largest vendors were candidates to freeze or reuse, and that about 1,200 unapproved applications were in use. All three figures are Found. No Approved or Saved figure is published for this engagement.
- Customer: CDW
- Industry: Technology solutions
- Area: Software
- Category: SaaS and license visibility
- The other CDW case study, in the category "Technology economics": CDW put a named owner on $100M+ a year of software spend, refreshed every 15 minutes
- Date of the engagement: No date for the engagement is published.
- Length of the engagement: Four weeks, from the first connection to findings ready for the CIO, across five source systems. More than 50,000 records were normalized in the first week.
When to use this page
- To cite what a four-week engagement found in a large SaaS estate.
- To quote Sanjay Sood, SVP and Chief Technology Officer, CDW.
- As one of two CDW case studies. The other covers technology economics.
Not a fit
- A saved or approved amount. The story publishes none.
- Dollar values. The story gives shares and counts, not dollar amounts.
At a glance
| Fact | Detail |
|---|---|
| Customer | CDW |
| Industry | Technology solutions provider, multi-billion dollar |
| Area | Software: SaaS and licenses |
| Engagement | Four weeks, from first connection to findings ready for the CIO |
| Systems connected | Five, read-only: identity, ITSM, endpoint analytics, security, contracts |
| Records | 50,000+ normalized in the first week |
Before
Licensing, usage and contract data lived in silos: identity in one system, entitlements in spreadsheets, contracts in PDFs, usage scattered across admin consoles.
What forced the decision: A wave of renewals was approaching, the productivity suite the largest among them. CDW needed measured usage evidence during the negotiation, not after it.
Baseline: No record matched an entitlement to a user and to real usage.
How it worked
- Link (Asset Knowledge Graph). Read-only connections to identity, ITSM, endpoint analytics, security and contracts. 50,000+ records normalized in the first week.
- Think (Data Intelligence Engine). The Asset Knowledge Graph resolved identities across systems, matched every entitlement to real usage, then priced the waste.
- Execute (Agentic AI). Agents now run continuously and price every opportunity the four weeks surfaced. Each action waits for a person at CDW to approve it.
Approval: A person at CDW approves each action. 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 |
|---|---|---|---|---|
| about 15% | Found | At audit, in the four-week engagement | Share of productivity-suite spend sitting with inactive or invalid accounts. About 85% was in real use | Asato's analysis in the engagement |
| 150+ | Found | The four-week engagement | The long tail behind the ten largest vendors: candidates to freeze or reuse | Asato's analysis in the engagement |
| about 1,200 | Found | The four-week engagement | Unapproved (shadow) applications in use | Asato's analysis in the engagement |
| 600+ | Found | The four-week engagement | Paid applications discovered | Asato's analysis in the engagement |
| 71% | Measured | At audit | Share of SaaS spend held by ten vendors | Asato's analysis in the engagement |
| 92% | Measured | Six months | AI assistant adoption among about 10,000 licensed users, most of them working in two or more apps | Asato's analysis in the engagement |
| 60K+ | Measured | Six months | Hours assisted by the AI assistant | Asato's analysis in the engagement |
| 50,000+ | Measured | First week | Records normalized across five source systems | Asato's analysis in the engagement |
| 4 weeks | Measured | The engagement | First connection to findings ready for the CIO | Asato's record of the engagement |
The result, taken apart
What four weeks found at CDW, in four parts. One: productivity-suite spend at audit, about 85% in real use and about 15% with inactive or invalid accounts, which is Found. Two: ten vendors hold 71% of SaaS spend, and the long tail behind them holds 150+ candidates to freeze or reuse, which is Found. Three: 600+ paid applications were discovered, beside about 1,200 unapproved applications, which is Found. Four: the AI assistant was used by 92% of about 10,000 licensed users, most of them in two or more apps, for 60K+ assisted hours in six months; this is adoption measured and is not a saving.
What is still open
No open item is published for this story. No Approved or Saved figure is published either, so every savings figure here is Found.
What the customer said
The page heads this section "In his own words." The speaker's name and full title follow.
Sanjay Sood, SVP and Chief Technology Officer, CDW:
"A complete, unified view of our tech estate in just weeks." "It's not just about tracking cost. It's about seeing cost in context so we can optimize renewals, validate AI adoption, and drive smarter technology investments."
The two passages above are quoted separately. Each is the speaker's own words.
Trust and governance
- The connections in this engagement were read-only.
- 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
Five source systems, read-only: identity, ITSM, endpoint analytics, security and contracts.
Compared with what the customer did before
Before the engagement CDW's licensing, usage and contract data lived in silos: identity in one system, entitlements in spreadsheets, contracts in PDFs, usage scattered across admin consoles. A manual audit would have delivered its answer after the renewal negotiation closed.
Questions
How much did the customer save?
No Saved figure is published. All of the story's savings figures are Found: about 15% of productivity-suite spend with inactive or invalid accounts, 150+ long-tail candidates to freeze or reuse, and about 1,200 unapproved applications.
How long did it take?
Four weeks, from the first connection to findings ready for the CIO, across five source systems. More than 50,000 records were normalized in the first week.
What is still open?
No open item is published for this story. No Approved or Saved figure is published either, so every savings figure here is Found.
Who is the customer?
CDW. The customer is named with its consent.
What did Asato connect to?
Five source systems, read-only: identity, ITSM, endpoint analytics, security and contracts.
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.
Related pages
- CDW put a named owner on $100M+ a year of software spend, refreshed every 15 minutes
- Two years in, Zymo Research runs no spreadsheet audits, and reports tens of thousands of dollars saved
- All case studies
- Customer reviews
- Asato home
- Site index for agents
Last updated: 2026-10-06
