AI Agency: Types, Services and What the Data Says
- An AI agency sells AI as a service, not as software. The main types are automation agencies, AI marketing agencies, AI development and consulting firms, and resellers of a white label platform.
- The market is large and crowded. 78% of organizations reported using AI in 2024, up from 55% a year earlier, and Clutch's directory lists 31,151 AI companies 1,5.
- Most businesses use AI narrowly. Only 18% of US firms use it in a business function, and 57% of those use it in three or fewer functions, led by sales and marketing 2.
- The gains clients report are real but small. Most firms that report cost savings from AI say they are under 10%, and the most common revenue gain is under 5% 1.
- Outside help has a better record than going alone. An MIT study reported about a 67% success rate for AI bought from specialist vendors or built with partners, and about a third of that for internal builds 4.
- Check claims before you hire or start one. The US regulator has taken action against companies that overstated what their AI could do 7.
An AI agency is a service business that helps other companies use artificial intelligence, by building it, running it or advising on it. This page sets out the main types, the market they sell into, where client businesses actually use AI, what clients get out of it and how to check an agency's claims, with the source and weakness of every number.
· 8 sources · Published by Convocore, which sells white label AI agents. See method and limits.
What is an AI agency?
An AI agency is a service business that helps other companies put artificial intelligence to work. It may build AI systems for a client, run them month to month, advise on what to adopt, or resell an AI platform under its own name. The client pays for an outcome and for expertise, not for a software licence.
The label covers quite different businesses. An automation agency connects tools and builds AI agents. An AI marketing agency uses AI to produce and run campaigns. A development or consulting firm builds custom models and software for larger clients. A white label reseller sells a ready-made platform as its own product. They share a customer, a business that wants results from AI without hiring its own specialists, and differ in what they deliver.
| Rule | What it sells | Typical client |
|---|---|---|
| AI automation agency | Chat and voice agents, workflow automations and integrations, usually on a retainer | Small and mid sized businesses |
| AI marketing agency | Campaigns, content and lead generation produced or run with AI | Businesses that already buy marketing |
| AI development or consulting firm | Custom models, software and strategy, priced by project or by the hour | Mid sized and large organizations |
| White label reseller | A ready-made AI platform sold under the agency's own brand | The agency's existing clients |
These categories are our own grouping of how AI service firms describe themselves, informed by the service filters on Clutch's directory. They overlap in practice.
How big is the market?
Stanford's AI Index, an independent annual report, found that 78% of survey respondents said their organizations used AI in 2024, up from 55% in 2023. The share using generative AI in at least one business function rose from 33% to 71% in the same year 1.
Money followed. Corporate AI investment reached $252.3 billion worldwide in 2024. US private AI investment was $109.1 billion, about 12 times China's $9.3 billion, and private investment in generative AI reached $33.9 billion, up 18.7% on 2023 1.
Supply has grown with it. Clutch, a marketplace that lists and reviews service firms, showed 31,151 AI companies in its directory on 11 October 2026 5. That is a count of listings on one marketplace, not a census, but it shows a buyer has many firms to choose from and a new agency has many to compete with.
Self reported by survey respondents, as published in the Stanford AI Index 2025 economy chapter.
Where businesses actually use AI
Surveys of managers at large companies overstate how far AI has reached the wider economy. The US Census Bureau asked a representative sample of firms between November 2025 and January 2026 and found 18% used AI in a business function, or 32% when weighted by employment, because larger firms use it more. It expected the share to reach 22% within six months 2. A separate Census release found less than 20% of firms with four or fewer employees used AI in early 2026 3.
Adoption is narrow even inside firms that use it. 57% of adopting firms used AI in three or fewer business functions. The most common were sales and marketing (52% of adopting firms), strategy and business development (45%) and IT (41%). Among workers' tasks, the leading uses of generative AI were writing, document analysis and information search 2.
For an agency this is the most useful evidence on the page. It shows where buyers already see value, in sales, marketing and written work, and how much of the typical business AI has not yet touched.
Share of firms that use AI in at least one business function. US Census Bureau working paper CES-26-25, 2026 AI supplement to the Business Trends and Outlook Survey.
What clients get out of it
The results businesses report are positive and modest. In the survey data published in the Stanford AI Index, 49% of respondents using AI in service operations reported cost savings, followed by supply chain management (43%) and software engineering (41%). Most of those reporting savings said they were below 10% 1.
On revenue, 71% of respondents using AI in marketing and sales reported gains, followed by supply chain management (63%) and service operations (57%). The most common increase was under 5% 1.
An agency that promises a client a small, measurable improvement is making a claim the evidence supports. One that promises to transform the business is not.
Self reported by survey respondents. A firm reporting a gain says nothing about how large it was beyond the notes above.
Why hire an agency instead of building in-house?
MIT's NANDA initiative studied enterprise generative AI projects through about 150 interviews, a survey of 350 employees and an analysis of 300 public deployments. As reported by Fortune, about 95% of pilots stalled with little or no measurable effect on profit and loss. Projects bought from specialized vendors or built with partners succeeded about 67% of the time, and internal builds roughly a third as often 4.
The study covers large companies and reaches us through a press report, so it is evidence for the general point that outside expertise helps, not a guarantee about any agency.
What AI agencies charge
Clutch's AI pricing guide, updated 21 September 2026, puts the average hourly rate for AI development companies at $25 to $49 worldwide and $50 to $99 in the United States, with projects typically costing $10,000 to $49,999 and lasting an average of 10 months 6. Individual firms in its directory list rates from $25 to $49 an hour up to $150 to $199 an hour 5.
Those figures describe firms on one marketplace and skew towards larger development projects. Our AI automation agency page covers pricing, running costs and margins in more detail.
How to check an AI agency's claims
Regulators have started to act on exaggerated AI claims. In September 2024 the US Federal Trade Commission announced Operation AI Comply, a set of cases against companies that it said used AI hype to deceive. One, DoNotPay, had marketed itself as the world's first robot lawyer and agreed to pay $193,000. Others sold AI-powered online store schemes with promises of income 7.
Forecasters expect many AI projects to be dropped. Gartner predicted in 2025 that more than 40% of agentic AI projects would be cancelled by the end of 2027 because of rising costs, unclear business value or inadequate risk controls, and warned about vendors relabelling older products as AI agents 8. That is a forecast, read through press coverage.
The practical checks follow from the evidence above. Ask for a result from a comparable client and how it was measured. Ask what the system will cost to run after it is built. Ask who owns the accounts, the data and the prompts if you leave. Be wary of any promised gain far above the single digit improvements most businesses report 1.
- A measured result from a similar client, with the method.
- The monthly running cost after launch, including usage fees.
- Who owns the accounts, data and configuration if the contract ends.
- A named person responsible for support, and a response time.
- A small paid pilot before a long contract.
What the evidence does not show
- There is no census of AI agencies. Clutch's count is the number of listings on one marketplace 5. We found no reliable data on what AI agencies earn or how many fail.
- The Stanford figures come from surveys of respondents at organizations, which tend to be larger and more engaged with AI than the average business 1. The Census figures are representative of US firms and are much lower 2,3.
- A firm reporting a cost saving or revenue gain from AI says little about its size. The source gives only that most savings were below 10% and the most common revenue gain was under 5% 1.
- The MIT findings concern enterprises and reach us through Fortune's report, with no exact figure for internal builds 4.
- The types of agency are our own grouping, not an official classification.
- The Gartner prediction is a forecast read through press coverage 8.
Starting an AI agency: what the evidence suggests
The data points to three choices. Sell into the functions where businesses already use AI, which are sales, marketing and written work, since buyers there understand the value 2. Promise small, measured improvements, because that is what clients report 1. And decide which of the four types you are, because a marketplace with more than 31,000 listed AI companies rewards a clear specialism 5.
If you want to resell AI chat and voice agents under your own brand, Convocore's White Label plan is $199 a month for up to 20 client sub-accounts, with no share of your client revenue. The guides below cover pricing, finding clients and delivery in more detail.
Method and limits
- Every number on this page comes from a source we opened and read on 11 October 2026, except where a source note below says we read it earlier or could only read a search summary.
- Sources are labelled primary (read at the original publisher), commissioned (paid for by a party with a commercial interest in the result), secondary (a report of the original) or forecast.
- Where sources disagreed or a figure could not be traced to an original, we left it out. Sample sizes and dates are given wherever the source gave them.
- Convocore sells a white label AI agent platform to agencies and has a commercial interest in this market. We have tried to report the evidence as it is, including where it is modest. If you find an error, write to support@convocore.ai and we will correct it.
Sources
- The 2025 AI Index Report, Chapter 4: EconomyPrimary sourceStanford Institute for Human-Centered Artificial Intelligence (HAI). 7 April 2025.We read the chapter's highlights page. The adoption, cost and revenue figures are survey results that the Index reproduces from an industry survey, and they are self reported.
- The Microstructure of AI Diffusion: Evidence from Firms, Business Functions, and Worker Tasks (CES-26-25)Primary sourceUS Census Bureau, Center for Economic Studies (Bonney, Breaux, Dinlersoz, Foster, Haltiwanger, Pande). April 2026; reference period November 2025 to January 2026.We read the paper's abstract page. A working paper based on the 2026 AI supplement to the Business Trends and Outlook Survey. Function shares are among firms that use AI.
- Large Firms With at Least 20 Employees Biggest AI UsersPrimary sourceUS Census Bureau, Business Trends and Outlook Survey. Published 26 May 2026; data 14 December 2025 to 3 May 2026.Read on 9 October 2026.
- MIT report: 95% of generative AI pilots at companies are failing (on The GenAI Divide: State of AI in Business 2025)Secondary reportFortune, reporting MIT NANDA. 18 August 2025.We read Fortune's article, not the MIT report. The article gives no exact success rate for internal builds.
- Top Artificial Intelligence Companies directoryPrimary sourceClutch. Ratings updated 11 October 2026.Clutch is a paid marketplace for service firms. The count is the number of companies shown in the directory on the day we read it. We read the first part of a long page.
- AI Pricing GuidePrimary sourceClutch. Updated 21 September 2026.Figures come from projects reviewed on Clutch. The page does not state a sample size.
- US Federal Trade Commission. 25 September 2024.A press release announcing five cases. Allegations in a complaint are not findings, and some cases settled. We did not check the later history of each case.
- Gartner, as reported by CRN. June 2025.A prediction, not a measurement. Gartner's own page was not opened, and we read a search summary of press coverage.
Questions
What is an AI agency?
An AI agency is a service business that helps other companies use artificial intelligence, by building AI systems, running them, advising on them or reselling an AI platform under its own brand. Clients pay for an outcome and expertise, not a software licence.
What types of AI agency are there?
Four broad types: AI automation agencies that build agents and workflows, AI marketing agencies that produce and run campaigns with AI, AI development and consulting firms that build custom software for larger clients, and white label resellers that sell a ready-made platform as their own.
How many AI agencies are there?
Nobody has counted them. Clutch's directory listed 31,151 AI companies on 11 October 2026, which is a count of listings on one marketplace and not a census.
Do businesses actually use AI?
Less than surveys of large companies suggest. The US Census Bureau found 18% of firms used AI in a business function between November 2025 and January 2026, or 32% weighted by employment. Among firms that use it, sales and marketing is the most common function at 52%.
How much do AI agencies charge?
Clutch's pricing guide, updated in September 2026, lists AI development companies at an average of $25 to $49 an hour worldwide and $50 to $99 in the United States, with typical projects of $10,000 to $49,999.
Is it better to hire an AI agency or build in-house?
An MIT study of enterprise projects, as reported by Fortune, found AI bought from specialist vendors or built with partners succeeded about 67% of the time, and internal builds about a third as often. It covers large companies, so treat it as a general indication.