How is AI used in technology and software?

The most documented AI use cases in technology and software are AI for merchant underwriting and risk monitoring, AI agent for cloud cost optimization and FinOps and AI agent for IT service desk resolution, across 120 public deployments by 101 organizations in the Blits.ai AI Use Case Library. 10% of public deployments in technology and software put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Data report

State of AI in technology and software

What 120 documented AI deployments by 101 organizations in technology and software say about who uses the AI, how far it acts on its own and how often the result is proven, set against the whole library.

Computed live from the library on 12 November 2026. By Len Debets.

120

Deployments

101 organizations in 20 countries

10%

Face the customer

The AI works with customers directly; 31% across the library

61%

Agentic

The AI completes work itself; 63% across the library

86%

Disclose an outcome

A measurable result is public; 61% across the library

Who works with the AI

10% of public deployments in technology and software put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Public deployments by who uses the AI

Employee facing
90
Back office
18
Customer facing
12

How far the AI acts on its own

61% of public deployments in technology and software belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.

Public deployments by autonomy level

Copilot
51
Supervised agent
44
Assist
26

Where the deployments come from

57% of the public deployments in technology and software are by organizations in North America. 60% date from 2025 or 2026, against 57% across the library.

Public deployments by region

North America
68
Global
22
Europe
17
Asia Pacific
8
Middle East
5

How often the result is proven

86% of public deployments in technology and software disclose a measurable outcome, against 61% across the library. Of the 126 reported metrics, 89 came from a vendor rather than from the organization itself.

Who made the claim (reported metrics)

Organization
37
Vendor
89

The most documented use cases in technology and software

Ranked by the number of technology and software organizations with a public deployment.

AI for merchant underwriting and risk monitoring6 organizations
AI agent for cloud cost optimization and FinOps5 organizations
AI agent for IT service desk resolution5 organizations
AI assistant for developers integrating a company's APIs5 organizations
AI avatar and translated video for corporate communications and marketing5 organizations
AI for IT incident triage and root cause analysis (AIOps)5 organizations
AI agent for drafting employee performance reviews4 organizations
AI agent for inbound lead qualification and meeting booking4 organizations
AI agent for outbound sales prospecting and personalized outreach4 organizations
AI coding assistant for software developers4 organizations

The benchmarks with the most evidence

KPIs with at least three pooled public values from technology and software organizations.

Benchmarks in technology and software
KPI	Median	Reported range	Data points	Claimed by
Cycle time reduction	71%	16% to 90% Not pooled: up to 70%, up to 70%	10plus 2 up to	2 organization, 8 vendor
Accuracy	90%	42% to 96%	8	5 organization, 3 vendor
Productivity gain	82.5%	25% to 336% Not pooled: up to 80%, up to 30%	6plus 2 up to	2 organization, 4 vendor
Cost reduction	40%	30% to 60%	5	3 organization, 2 vendor
Productivity gain	10x vendor reported	4x to 46x	5	5 vendor
Automation rate	71% vendor reported	31.8% to 88%	4	4 vendor

Frequently asked questions

How is AI used in technology and software?: The most documented AI use cases in technology and software are AI for merchant underwriting and risk monitoring, AI agent for cloud cost optimization and FinOps and AI agent for IT service desk resolution, across 120 public deployments by 101 organizations in the Blits.ai AI Use Case Library. 10% of public deployments in technology and software put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
How many AI deployments in technology and software use AI agents?: 61% of public deployments in technology and software belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
How often do technology and software organizations prove the results of AI?: 86% of public deployments in technology and software disclose a measurable outcome, against 61% across the library. Of the 126 reported metrics, 89 came from a vendor rather than from the organization itself.

About this report

This report counts every public deployment by an organization in technology and software, whatever the use case, and sets it against all 1921 public deployments in the library. The industry hub counts only the use cases tagged with this industry, so its totals can be lower. Every figure is computed with the rules on the methodology page, from the open data (CC BY 4.0). The sample reflects what organizations choose to publish, which skews toward large organizations and successful projects.