What companies make AI agents?

The AI Agent Market Is Exploding — But Who Actually Builds Them?

AI agents are everywhere in the news, but the vendor landscape is confusing. With the market projected to grow from $5.26 billion in 2024 to $52.62 billion by 2030 at a 46.3% CAGR, understanding who builds these agents is critical for businesses looking to adopt them without technical overhead. Industry research shows the market divides into three clear tiers: tech giants like Google, Microsoft, IBM, AWS, and OpenAI offering foundational platforms; enterprise specialists such as Amelia, Cognigy, Aisera, and Leena AI focusing on vertical use cases; and done-for-you providers that deliver fully managed solutions.

Ready-to-deploy agents dominate the landscape, holding 58.70% market share in 2025, proving most businesses prefer agents that are built and managed for them rather than developer tools requiring in-house expertise. Market analysis confirms this trend reflects a broader shift toward managed services that reduce implementation complexity, especially for small and mid-sized businesses lacking AI talent. For these companies, the appeal isn’t just in the technology — it’s in getting a working system without becoming an AI operations team.

This is where providers like AI Business Sites fit in: we don’t sell agent-building tools — we build and run the entire AI back office for you. From custom websites with 85+ pages at launch to automated quoting, invoicing, and content generation, our done-for-you model includes voice agents, CRM, SEO content, and field-service workflows — all managed by our team. You own everything, and we handle the rest, so you can run your business while the system runs the rest. Our platform is designed specifically for owners who want AI but don’t want a technical project — no prompting, no integrating, no babysitting.

Not all AI agent companies are selling the same thing — and the difference matters more than the brand name. Enterprises account for 67.10% of the market by end use, which means most of the big players are building for big companies first. Matching the vendor type to your business size is the real decision.

Big tech serves the enterprise tier. IBM's watsonx Orchestrate powers AI agents that cut HR costs by 40% and resolve 94% of employee requests automatically, while Microsoft embeds agents into Dynamics 365 and GitHub Copilot. MarketsandMarkets names OpenAI, Google, and Amelia as "star players" in the space. These platforms deliver serious results — but they assume you have IT teams, data governance, and integration resources. IBM itself stresses that scaling agents requires governance, data integration, and system alignment, and roughly 60% of enterprises cite compliance and data governance concerns as adoption barriers.

Specialist vendors go deep on one capability at massive scale. Amelia, for example, handled 4.5 million monthly calls at 90% intent accuracy for Telefónica. If your problem matches the specialist's niche — call handling, invoice processing, IT triage — this route can be powerful. If it doesn't, you're fitting your business to their tool.

Done-for-you providers occupy the third lane, and it's the one most small business owners actually need. Rather than handing you software, they wire agents into your real workflows and run the system on your behalf. Bitvea builds custom platforms where clients just explain their business processes — no technical specs required. A fractional CTO's analysis found that done-for-you AI agent installations typically start around $4,500 and take about two weeks, with the client pre-approving every customer-facing output. AI Business Sites works the same way for small businesses: a custom website plus an AI back office — chatbot, CRM, content engine, automations — built and managed entirely by the provider, so the owner never touches a technical tool.

The market data backs this direction. Ready-to-deploy agents hold 58.70% of the product-type segment in 2025, well ahead of build-your-own options, and industry research projects the overall market growing from $5.26 billion in 2024 to $52.62 billion by 2030.

A quick way to choose:

• Large enterprise with IT staff? Big tech platforms like IBM or Microsoft fit.
• One dominant, high-volume problem? A specialist like Amelia may deliver.
• Small business that wants results without a technical project? A done-for-you provider is built for you.

The common thread across all three: ask who owns the system, who maintains it, and what happens when you leave. Vendors that answer those questions clearly — with ownership transfer and managed service included — are the ones worth a conversation.

The sticker price on an AI agent is rarely the real price. What looks like a free engine or a $25 subscription can quietly become the most expensive line in your budget once you add hosting, integration, seats, and the hours you spend babysitting it.

Start with the DIY route. Open-source frameworks cost nothing to download, but someone still has to build the car: host it, wire it to your website, calendar, and CRM, train it on your business, and keep it maintained. As fractional CTO Justin McKelvey explains, that's a technical project, not a Tuesday. Free is only free if your time is.

Next come the per-seat SaaS tools. Claude's Team plan runs $25 per seat monthly with a two-seat minimum, so even a small team pays a recurring floor of roughly $50/month before doing any real work. Vertical agents — phone answering, scheduling — typically price per line or per usage, ranging from tens to a few hundred dollars monthly.

Then there's the done-for-you tier. McKelvey's pricing guidance puts installations that wire agents into your actual workflows at $4,500 and up, taking about two weeks. That buys more than software — it buys the integration work most owners never get around to doing themselves.

The most useful comparison isn't the monthly fee — it's total cost of ownership. A Bitvea cost analysis makes this concrete: a custom CRM ran $12,500 over five years for a five-person team versus $60,000 for Salesforce, with break-even in roughly 11 months. Add-on gates and per-seat fees are where SaaS bills balloon.

Here's how the real math breaks down:

• DIY frameworks — free engines, but you absorb hosting, integration, training, and maintenance as unpaid labor
• Per-seat SaaS — predictable but compounds: $25/seat/month with 2-seat minimums adds up fast
• Vertical agents — tens to hundreds of dollars monthly, priced per line or usage
• Done-for-you installs — $4,500+ and two weeks, with the workflow wiring done for you

This is why done-for-you setups dominate the market — research shows ready-to-deploy agents hold 58.70% market share in 2025. Providers like AI Business Sites build the agent setup into the platform itself, so the integration, training, and maintenance are handled rather than handed to you as homework.

Whatever you choose, price the whole picture: seats, add-ons, setup, and your own hours. That's the number that tells you what an AI agent really costs.

Signing with an AI agent company is a bigger decision than it looks — the wrong vendor leaves you locked into software you can't use and promises nobody keeps. Before you commit, run these five checks.

1. Verify done-for-you setup — and who owns the output. The best vendors build and run the system for you, then hand over everything. Bitvea states it plainly: "You fully own the software and code. No SaaS lock-in." Ask any provider exactly what you receive if you leave — code, content, lead data, your domain — and whether it's standard technology a developer can pick up. At AI Business Sites, for example, clients own the code, content, data, and domain, with a full export on exit.

2. Demand human-in-the-loop governance. Roughly 60% of enterprises cite non-compliance risks and data governance concerns as key adoption barriers. The fix is draft-first approval: AI drafts, you approve, nothing reaches a customer without your yes. Fractional CTO Justin McKelvey notes this workflow delivers roughly 90% of the value at about 10% of the risk of full autonomy.

3. Look for vertical, industry-specific agents. Generic agents sound impressive but fit loosely. Vertical AI agents are the fastest-growing segment of the market, projected at a 62.7% CAGR through 2030 — a sign that tailored solutions outperform one-size-fits-all tools. Ask how the vendor adapts agents to your actual services, customers, and workflows.

4. Walk away from "it will close deals for you." McKelvey is direct on this: any vendor promising agents will close deals on their own should be dropped. Most businesses need AI drafting with a human approving the output — cheaper, safer, and easier to undo than full autonomy. Overhyped autonomy claims are a red flag about everything else the vendor says.

5. Check the timeline and what's actually included. Done-for-you AI agent installations typically start at $4,500 and take about two weeks, so ask what sits behind that number. Get specifics on what's gated behind add-ons versus included, what training is provided, and what happens after launch. Vendors that can't answer clearly usually haven't thought it through.

Run all five checks and the right choice usually becomes obvious: a vendor that builds for you, hands you ownership, keeps a human in the loop, and tells you the truth about timelines.

For small-business owners who want AI agents working for them—not another technical project—the path from vendor list to live system can feel overwhelming. Enterprise deployments often emphasize governance and data integration, requiring internal teams to manage complex implementations that stretch over months. In contrast, done-for-you providers eliminate that burden: you explain your business once, and they build, train, and run the agents—handling chat, voice, lead follow-up, and content—while you approve what goes to customers. This model aligns with research showing done-for-you setups reduce implementation complexity, a key factor as ~60% of enterprises cite non-compliance and data governance as adoption barriers.

AI Business Sites exemplifies this approach, delivering a fully managed AI business operating system—including a custom website with 85+ pages, CRM, content engine, and field-service module—live in 7 days from kickoff. Clients own everything: code, content, data, and domain, with no long-term contracts. The platform runs continuously, publishing 14+ new SEO pieces monthly and managing automations behind the scenes, so owners focus on their trade, not tooling. For those seeking outcome over overhead, a free strategy call reveals whether this managed setup fits their business. Book yours at https://aibusinesssites.com/book-a-call.