Industry

AI use cases in technology and software

The most documented AI use cases in technology and software are merchant underwriting and monitoring, cloud cost optimization agent and IT service desk resolution, across 95 public deployments by 81 organizations. Software and technology companies using AI for support, sales, engineering and internal operations.

Use cases
35
Deployments
95
Organizations
81
Outcome disclosed
86%

The 10 most common AI use cases in technology and software

Ranked by the number of technology and software organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI for merchant underwriting and risk monitoring

    AI merchant underwriting and risk monitoring helps acquirers, payment facilitators and software platforms with embedded payments decide which merchants to accept and on what terms, and watch for risk afterward.

    6 organizations
    about 89% alert volume reduction
    one deployment, vendor claim
  2. 2
    AI agent for cloud cost optimization and FinOps

    An AI agent that continuously manages an organization's cloud spending to cut waste.

    5 organizations
    50% median cost reduction
    4 deployments
  3. 3
    AI agent for IT service desk resolution

    An AI agent for IT service desk resolution takes the high volume IT support queue, resolves common requests and hands the rest to the right resolver group.

    5 organizations
    at least 75% containment rate
    one deployment, organization claim
  4. 4
    AI assistant for developers integrating a company's APIs

    An AI API integration assistant answers developers' integration questions and recommends the right endpoints on a company's developer portal and in its documentation.

    5 organizations
    30% contact deflection
    one deployment, organization claim
  5. 5
    AI avatar and translated video for corporate communications and marketing

    AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing.

    5 organizations
    10x productivity gain
    one deployment, vendor claim
  6. 6
    AI for IT incident triage and root cause analysis (AIOps)

    AIOps incident triage is AI that turns a flood of monitoring alerts into one probable incident and routes it to the right team.

    5 organizations
    72% median time to repair reduction
    3 deployments
  7. 7
    AI agent for drafting employee performance reviews

    Performance review drafting is an AI agent that gathers an employee's work history, goals and peer feedback and drafts a first version of the performance review for a manager.

    4 organizations
    84% cycle time reduction
    one deployment, vendor claim
  8. 8
    AI agent for inbound lead qualification and meeting booking

    An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson.

    4 organizations
    19% conversion uplift
    one deployment, vendor claim
  9. 9
    AI agent for outbound sales prospecting and personalized outreach

    An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team.

    4 organizations
  10. 10
    AI coding assistant for software developers

    An AI coding assistant helps software developers by completing and generating code in their IDE and code review flow.

    4 organizations
    at least 25% productivity gain
    one deployment, vendor claim

35 Technology and software use cases

81 organizations in 16 countries run these use cases in public. 86% of those 95 deployments disclose a measurable outcome.

Cross industryEnergy and utilities

AI agent for autonomous RFQ and tail spend sourcing

Autonomous RFQ sourcing is AI that sends requests for quotation to suppliers, compares the bids and recommends or makes the award for small purchases, within rules a buyer sets. It covers the tail of spend, the many low value or repeat requests that buyers rarely have time to compete, and hands complex or high value events to a person.

Deployments
4 public, best grade C
Reported cycle time reduction
75%
G42, vendor claim
Cross industryManufacturing

AI agent for candidate sourcing and talent rediscovery

AI candidate sourcing and talent rediscovery is AI that builds and works the candidate pipeline before an application arrives, for recruiters filling open roles. It matches open roles against a company's own past applicants sitting unused in the applicant tracking system, ranks and surfaces the best fits for a recruiter to approach, and optimizes career site content and outreach to attract more of the right applicants, instead of a recruiter starting each search from an empty external search or a job board.

Deployments
5 public, best grade C
Reported cycle time reduction
30%
AtkinsRéalis, vendor claim
Cross industryTechnology and software

AI agent for cloud cost optimization and FinOps

An AI agent that continuously manages an organization's cloud spending to cut waste. It reads usage and billing data, uses machine learning to separate normal spend from waste, and either rightsizes resources and buys a mix of committed capacity matched to forecast usage on its own within set limits, or proposes higher risk changes for an engineer to approve.

Deployments
7 public, best grade C
Median cost reduction
50%
5 deployments, 1 "up to" value left out
Cross industryTechnology and software

AI agent for contract obligation tracking and compliance

Contract obligation tracking uses AI to extract commitments and deadlines from signed contracts, keep them in one register and alert the owner before a deadline is missed. The commitments include service levels, renewal and notice dates, price escalators, audit rights and delivery milestones.

Deployments
3 public, best grade C
Autonomy
Supervised agent
Cross industryTechnology and software

AI agent for data quality monitoring and observability

AI data quality monitoring is an AI agent that watches data pipelines and tables continuously and flags anomalies before they reach a dashboard or a downstream model. It uses machine learning to learn the normal pattern of freshness, volume, schema and distribution for each one, and traces the lineage back to the change that caused an anomaly so an engineer can fix the source and not only treat the symptom.

Deployments
8 public, best grade C
Median time to repair reduction, vendor reported
20%
3 deployments
Cross industryTechnology and software

AI agent for drafting employee performance reviews

Performance review drafting is an AI agent that gathers an employee's work history, goals and peer feedback and drafts a first version of the performance review for a manager. It draws on the systems the manager already uses, and the manager edits, rewrites or rejects the draft, so they start from a grounded summary instead of a blank form and six months of context to recall from memory.

Deployments
7 public, best grade B
Reported cycle time reduction
84%
Case Status, vendor claim
Cross industryTechnology and software

AI agent for identity and access review and certification

An AI agent that runs user access reviews, flags entitlements that differ from peers in similar roles, and leaves only the exceptions for a human reviewer. It pulls entitlement data from every connected application, scores each grant against the peer profile, groups or pre approves low risk, expected access, and keeps an audit ready record of every decision.

Deployments
5 public, best grade C
Reported cycle time reduction
75%
Sprout Social, vendor claim
Cross industryTechnology and software

AI agent for inbound lead qualification and meeting booking

An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.

Deployments
8 public, best grade C
Median conversion uplift, vendor reported
19%
3 deployments
Cross industryBanking

AI agent for IT service desk resolution

An AI agent for IT service desk resolution takes the high volume IT support queue, resolves common requests and hands the rest to the right resolver group. It runs in Microsoft Teams, Slack or the intranet, covers requests such as password and MFA resets, account unlocks, VPN, device and software requests, and acts in the identity and IT service management systems, attaching the context when it hands a request on.

Deployments
14 public, best grade B
Median containment rate
66%
4 deployments
Cross industryTechnology and software

AI agent for outbound sales prospecting and personalized outreach

An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team. It writes the emails, LinkedIn messages and call scripts from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.

Deployments
7 public, best grade C
Autonomy
Copilot
Cross industryPharma and life sciences

AI agent for travel and expense report audit

A travel and expense audit agent is an AI agent that checks every travel and expense report line against policy, for auditors. It checks receipts and prior submissions instead of a small manual sample, flags duplicates, altered receipts and policy violations with the evidence attached, and auto approves the clean majority so auditors spend their time on the reports that carry real risk.

Deployments
8 public, best grade C
Median automation rate, vendor reported
72%
3 deployments
Cross industryTechnology and software

AI assistant for corporate treasury teams

An AI treasury assistant answers a corporate treasury team's questions in plain language, from live cash and bank data to internal policy, instead of staff stitching exports together.

Deployments
4 public, best grade C
Autonomy
Assist
Cross industryBanking

AI assistant for developers integrating a company's APIs

An AI API integration assistant answers developers' integration questions and recommends the right endpoints on a company's developer portal and in its documentation. It also helps debug connections and generates sample calls, grounded in the API catalog, reference docs and test material, so clients and partners integrate faster with fewer support tickets.

Deployments
6 public, best grade B
Reported contact deflection
30%
Mapbox, organization claim
Cross industryBanking

AI assistant for HR and policy questions

An HR and policy assistant is an employee self service assistant that answers HR and policy questions from the organization's own HR documents and starts simple HR transactions. It covers leave, pay and tax forms, benefits, expenses, travel and conduct policies, personalizes answers to the employee's country and role, and starts transactions such as leave requests or employment letters in the HR system.

Deployments
9 public, best grade B
Median employee adoption
86%
4 deployments
Cross industryInsurance

AI avatar and translated video for corporate communications and marketing

AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.

Deployments
9 public, best grade C
Median cycle time reduction, vendor reported
50%
3 deployments
Cross industryBanking

AI coding assistant for software developers

An AI coding assistant helps software developers by completing and generating code in their IDE and code review flow. It also explains unfamiliar modules, drafts unit tests and reviews pull requests for common defects, while generated code goes through the same review, testing and change controls as any other code.

Deployments
12 public, best grade B
Median productivity gain
22.5%
4 deployments, 2 "up to" values left out
Technology and softwareMedia and entertainment

AI content moderation for trust and safety at online platforms

AI content moderation for trust and safety scans user generated content, such as live video, images, chat and audio, against an online platform's policy in real time. It removes or hides the clearest violations and routes borderline cases to a human moderator with its reasoning attached, so the platform can review far more content than a human team alone while keeping irreversible decisions with a person.

Deployments
4 public, best grade C
Autonomy
Supervised agent
Cross industryTechnology and software

AI for compensation governance and pay equity analysis

AI that checks an organization's pay decisions for unexplained gaps by gender, race or other protected characteristics. It statistically analyzes pay data, and at the point a recruiter or manager sets a starting salary, a raise or a promotion increase, it checks the proposed number against pay bands and equity rules and flags a decision before it creates a new gap, instead of finding it in next year's audit.

Deployments
9 public, best grade C
Reported cost reduction
25%
Elevance Health, vendor claim
Cross industryGovernment and public sector

AI for creating employee training and eLearning content

Training content generation is AI that helps learning and development teams turn source material into employee training content. It turns procedures, product documentation and policies into course outlines, lesson text, quizzes, narration, avatar videos and translations, which instructional designers and subject matter experts review before publishing.

Deployments
16 public, best grade B
Median cycle time reduction, vendor reported
84.5%
4 deployments
Cross industryTechnology and software

AI for detection engineering and detection rule writing

AI detection engineering drafts, tests and tunes the rules that find attacks in security logs, from threat reports, vulnerability disclosures or plain language requests, for an engineer to approve. It also translates rules between query languages, tags them with MITRE ATT&CK techniques and checks them against the organization's own data before they go live.

Deployments
4 public, best grade B
Reported false positive reduction
67%
Amazon, organization claim
Cross industryTechnology and software

AI for employee attrition prediction and retention analytics

Employee attrition prediction and retention analytics uses machine learning to score each employee's risk of resigning, for HR and managers. It scores that risk from HR, performance, engagement and compensation data, surfaces the factors driving it for a manager or HR business partner, and feeds an aggregate view of where attrition is concentrated, so retention effort goes to the people and teams most likely to leave instead of being spread evenly or applied only after someone resigns.

Deployments
4 public, best grade B
Reported accuracy
about 95%
IBM, organization claim
Cross industryManufacturing

AI for FX exposure forecasting and hedging support

AI for FX exposure forecasting is a machine learning model that predicts a company's future foreign currency cash flows, so treasury can set hedges against a more accurate exposure number. Treasury still decides the hedge ratios, instruments and timing, and executes the trades.

Deployments
2 public, best grade C
Reported forecast accuracy
96%
ASML, organization claim
Cross industryBanking

AI for IT incident triage and root cause analysis (AIOps)

AIOps incident triage is AI that turns a flood of monitoring alerts into one probable incident and routes it to the right team. It also proposes likely root causes and remediation from runbooks and past incidents, and drafts the stakeholder updates and the post incident review, while an engineer authorizes every change.

Deployments
10 public, best grade B
Median time to repair reduction
75%
6 deployments
Cross industryBanking

AI for legacy code modernization

AI for legacy code modernization reads old code such as COBOL and explains what each program does. It also works on languages like PL/I or old Java, mapping each program's data flows and dependencies, drafting the equivalent modern code or specification, and generating the regression tests needed to prove the new system behaves like the old one.

Deployments
7 public, best grade B
Reported cycle time reduction
about 50%
Google, organization claim

Free PDF playbook

AI use cases in technology and software: the playbook

35 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 95 public deployments behind these use cases at technology and software organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Technology and software use cases
KPIMedianReported rangeData pointsClaimed by
Cycle time reduction67%
16% to 90%
Not pooled: up to 70%, up to 70%
9plus 2 up to2 organization, 7 vendor
Accuracy90%
42% to 96%
85 organization, 3 vendor
Productivity gain75%
25% to 336%
Not pooled: up to 30%
5plus 1 up to2 organization, 3 vendor
Cost reduction40%
30% to 60%
53 organization, 2 vendor
Automation rate71% vendor reported
31.8% to 88%
44 vendor
Handling time reduction71.5%
50% to 97%
41 organization, 3 vendor

Organizations with a public deployment

  • 8x8
  • AMD
  • ANS
  • Airbnb
  • Akamai Technologies
  • Amazon
  • Anaconda
  • Anaplan
  • Autura
  • Azm
  • Box
  • Broadcom
  • BrowserStack
  • Case Status
  • Cherry Technologies
  • Choozle
  • CircleCI
  • Coinbase
  • Contentsquare
  • Databricks
  • Demandbase
  • Duolingo
  • Elastic
  • Equinix
  • Expel
  • Experian
  • G42
  • Gelato
  • Google
  • HENNGE
  • Hewlett Packard
  • Hitachi, Ltd.
  • HubSpot
  • Human Managed
  • IBM
  • Ignition
  • Iterable
  • JAGGAER
  • LTIMindtree
  • Labelbox
  • LinkedIn
  • Mapbox
  • Merge
  • Meta
  • Microsoft
  • Miro
  • Mozilla
  • Netskope
  • NielsenIQ
  • Nirvana
  • Oyster
  • Phorest
  • Pitney Bowes
  • Regnology
  • Rho
  • SAP Enterprise Cloud Services
  • SEP2
  • SUSE
  • SailPoint
  • Salesforce
  • Semrush
  • ServiceNow
  • SimCorp
  • Snowflake
  • Softcat
  • Sprout Social
  • Tekmetric
  • Thomson Reuters
  • Turing
  • Uber Technologies
  • Unifonic
  • Unisys
  • VERMEG
  • Weave Communications
  • Workday
  • Yotpo
  • Zendesk
  • Zoom
  • allwhere
  • mnemonic
  • monday.com

The same use cases in other industries

168 public deployments at 164 organizations outside technology and software run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

Frequently asked questions

What are the most common AI use cases in technology and software?
Counted by technology and software organizations with a public deployment, the most common are AI for merchant underwriting and risk monitoring (6 organizations), AI agent for cloud cost optimization and FinOps (5 organizations), AI agent for IT service desk resolution (5 organizations), AI assistant for developers integrating a company's APIs (5 organizations) and AI avatar and translated video for corporate communications and marketing (5 organizations). The library documents 35 AI use cases in technology and software, 32 of them with a public deployment: 95 deployments by 81 organizations in 16 countries.
Which AI use cases in technology and software have proven results?
These use cases have a median result across at least 3 organizations, not counting vendor only claims: AI agent for cloud cost optimization and FinOps: median cost reduction 50% across 4 deployments; AI for IT incident triage and root cause analysis (AIOps): median time to repair reduction 72% across 3 deployments; AI for product feedback and bug report triage: median accuracy 90% across 3 deployments.
How many of these AI deployments are live in production?
91 of the 95 public deployments are live: 79 in production and 12 scaled across the organization. 4 are pilots and 0 are announced.
Which AI use cases in technology and software are high risk under the EU AI Act?
4 use cases fall in the high risk tier: AI agent for candidate sourcing and talent rediscovery, AI agent for drafting employee performance reviews, AI agent for travel and expense report audit and AI for employee attrition prediction and retention analytics. For 9 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.