Topics

One page per question a person might ask. Each lists what organizations have said on it, clearest first.

Running AI in an organization

How widely do employees use AI? 32 passages, 25 checked
Shares of staff using AI tools, how often, and how adoption was driven.
What does AI do across the whole company? 57 passages, 57 checked
Organization-wide statements about AI that are not about one function.
How autonomous are the agents, and who checks their work? 46 passages, 41 checked
How much agents do with no person in the loop, and where people still approve.
Do organizations build their own AI tools or buy them? 12 passages, 7 checked
Internal agents and platforms versus bought tools, and why.
How do leaders push AI adoption? 7 passages, 7 checked
Mandates, memos, expectations and incentives from leadership.
How do organizations measure AI's impact? 36 passages, 29 checked
The metrics organizations use to judge whether AI is working.
How do organizations train people to use AI? 7 passages, 7 checked
Training programs, new skills and changing roles.
Where do agents run? 6 passages, 6 checked
The environments agents work in: sandboxes, cloud machines, background jobs, chat tools.

What does AI cost organizations? 17 passages, 15 checked
Spending on models, tokens and tools, and how organizations budget for it.
Does AI change headcount and hiring? 24 passages, 24 checked
What organizations say about hiring, team size and work AI does in place of staff.
Does AI raise revenue per employee? 4 passages, 4 checked
Statements tying AI to revenue, profit or output per person.

How much customer support does AI resolve? 111 passages, 111 checked
Shares and volumes of customer conversations AI handles, and what each organization means by resolved.

How much code does AI write? 23 passages, 21 checked
What organizations say about the share of their code that AI writes, and how they count it.
Can AI fix bugs and handle incidents? 13 passages, 13 checked
AI that triages and fixes bugs, responds to incidents, or takes on-call work.
How is AI used in code review? 33 passages, 23 checked
AI that reviews code changes, finds problems before merge, or picks the human reviewer.
How do coding agents open and merge changes? 93 passages, 87 checked
Agents that write pull requests on their own: how many, how they are reviewed, and how many merge.
Does AI make developers more productive? 62 passages, 51 checked
Claims about output per engineer, speed of delivery and how they were measured.
Can AI do large code migrations? 7 passages, 6 checked
Agents moving large codebases between languages, frameworks or versions.
How does AI help keep a product secure? 6 passages, 5 checked
AI used to find vulnerabilities, review security, and the risks agents add.
How is AI used for testing? 8 passages, 8 checked
AI that writes, runs or repairs tests, and what that does to quality.

How is AI used in finance, legal and operations? 13 passages, 13 checked
Back-office uses: accounting, risk, compliance, legal review and operations.
How is AI used in product and design? 10 passages, 10 checked
AI in product management, research, prototyping and design.
How is AI used in sales and marketing? 17 passages, 17 checked
AI that prospects, answers sales questions, writes campaigns or supports account teams.