What AI actually does to the work.
On work that suits AI, controlled studies measure 25% to 56% less time per task. Give people AI tools with no training, and it's closer to 3%. Here's what the research and real companies measured, with every source named.
On work that suits AI, the time drops by a quarter to a half.
Pick a kind of work. Every figure comes from a randomized trial, a field study at real companies, or a published company result, and company numbers are marked.
Quality went up 18% at the same time.
MIT, Science, 2023 · about 450 professionals, randomizedTwo patterns hold across the studies: the least experienced people gain the most, often two to three times as much, and the gains only show up on tasks that suit AI.
An agent costs cents per task. A person in the same seat costs dollars.
Agents rarely take over a whole job, so the useful comparison is one task at a time. Task times are our estimates; agent costs use published model and voice prices.
The real cost of the agent is the setup.
The per-task prices leave out the fixed work: building the agent, connecting it to your systems, monitoring it, and keeping it current. That's what an AI Officer plan covers, so the per-task math is what you actually get.
The numbers favor agents on high-volume, repeatable tasks: invoices, intake, scheduling, status calls. On judgment work, the agent does the first pass: it reads the file, pulls the facts, flags the risks, and recommends a call. Your people make the decision, and make more of them in the same hours.
Where agents take over whole tasks.
On calls, intake, and data entry, an agent does the whole task and sends the exceptions to a person.
of freight booked with no human involved, and every call answered
rep time on carrier calls and email, from 3 to 4 hours a day
of inbound carrier calls handled fully, tasks from 15 to 20 minutes down to about 5
faster to resolve customer service calls in the first phase
Klarna's assistant handled two-thirds of chats in its first month. The company later hired people again when quality slipped. Cost alone is the wrong target.
64% of consumers said they would prefer companies not use AI for service. Calls with carriers and vendors are a different audience, and still need testing.
Gartner, 2024The FCC treats AI voices as artificial under robocall law, so outbound AI calls need prior consent. Opening every call by saying it's an AI covers the known rules.
FCC 24-17, 2024Every call needs a handoff to a person on request, and someone reviewing a sample of calls each week.
How we set them upThe tasks agents finish on their own keep getting longer.
The length of task an AI agent can finish alone has doubled about every 4 months since 2023.
Handing people a chatbot moves the numbers very little.
The big gains come from three choices: picking tasks that suit AI, connecting it to your own data, and training people on where it fails. Skip them and the results look like the meters on the right.
Three choices decide whether you land near 80% or near 3%.
Pick the tasks
Drafting, compiling reports, data entry and routine admin sit well inside what AI does. Judgment calls on unfamiliar problems sit outside it, and that's where results got worse.
Put it on your own data
A chatbot that can't see your files and systems saves minutes. An assistant and agents connected to them take over whole tasks.
Train people, keep a reviewer
The least experienced staff gain the most, once they know where AI is wrong. The time spent reviewing drafts sets the real speedup.
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