The best AI agent platforms for business in 2026: an honest comparison

A note on transparency: this overview was written by AgentsLab, and AgentsLab is on the list. We have described every platform as fairly as we can, including the situations where another platform suits you better than ours. Prices and features were checked in October 2026 and change quickly, so always check the vendor's current information.

How we assess the platforms

• Where the work happens: which system does the agent live in, and can it act there or only talk?
• ERP integration: can the agent write into your books, with the right checks, or only read?
• Oversight: how does the platform handle uncertainty, exceptions and the human in the loop?
• Who builds and runs it: your own team, an implementation partner or the vendor?
• Data and hosting: where is your data processed, and does it stay within the EU?
• Pricing model: per user, per consumption or per process, and how predictable is the bill?

The comparison in one table

The platforms one by one

Microsoft Copilot Studio

Copilot Studio is Microsoft's low-code environment for building agents and publishing them to Teams, Microsoft 365, SharePoint and websites. Its strength is the fit with the rest of Microsoft: more than 1,400 connectors through the Power Platform and governance from your existing tenant. Billing runs on Copilot Credits, which at the time of writing Microsoft sells in packs of 25,000 credits for $200 a month or pay-as-you-go. Budget with real conversations, because one question can trigger several actions and therefore several credits.

A good fit if your organisation runs fully on Microsoft 365 and you mainly want knowledge, HR or self-service agents. If you run Dynamics 365, also read our piece on AI in Business Central.

Salesforce Agentforce

Agentforce is the agent platform inside Salesforce. Agents work directly on your CRM data and in the sales and service processes you have already set up in Salesforce. Salesforce charges per conversation, through consumption credits (Flex Credits) or per user, depending on your contract.

A good fit if your customer processes already run in Salesforce. Less logical when the work mainly sits in your ERP and back office, because that is not Agentforce's home ground.

Google Gemini Enterprise Agent Platform

In April 2026 Google brought its agent tooling together under the name Gemini Enterprise Agent Platform, the successor to Vertex AI. It offers an Agent Development Kit for developers, a low-code Agent Studio, a runtime with memory and access to more than 200 models, including third-party models.

A good fit if your data and infrastructure already live on Google Cloud and you have your own team to build and run agents.

UiPath

UiPath comes from the RPA world and has extended its platform with agents, orchestration (Maestro) and document processing. The big advantage is that existing software robots and new agents work together in one environment.

A good fit if you already have a substantial RPA base and want to build on it. Starting without RPA, it is a heavy platform for a first step.

n8n

n8n is a workflow platform you can host yourself, with nodes for AI agents, memory and vector databases. It is popular with technical teams that want control over their data and costs.

A good fit if you have the development capacity to build workflows and to run them. The catch: a workflow is quick to build, but exceptions, monitoring and maintenance remain your job, even after the person who built it has long moved on.

Zapier and Make

The best-known no-code automation tools, with connections to thousands of SaaS apps and by now their own AI agent features. Excellent for light automation: sending a notification, creating a task, moving data from one system to another.

They are less suited to financial postings. Invoices, payments and VAT call for validation, error handling, an error queue and a complete audit trail, and in these tools you largely have to build that yourself.

OpenAI: Agents SDK and ChatGPT

OpenAI offers the Agents SDK for developers and agents inside ChatGPT workspaces. Worth knowing: OpenAI has announced that its visual Agent Builder will be retired on 30 November 2026, and recommends moving to the Agents SDK or to agents in ChatGPT. Anyone who built on it has to migrate now.

That illustrates a point that applies to every platform: do not make your process dependent on one model or one build tool. Ask every vendor what happens when a component you rely on disappears.

AgentsLab

AgentsLab is a Dutch platform for AI coworkers: agents that run a back-office process from start to finish inside the ERP you already have, such as SAP, AFAS, Exact, Dynamics 365, Odoo or Bouwworks. Think order processing, purchase invoices and three-way matching, service tickets and accounts receivable. Every exception goes to a colleague with context and a proposal, and that colleague decides.

AgentsLab was founded in Amsterdam in 2024, is ISO 27001 certified, processes data within the EU and has more than twenty customers in production. An AI coworker is typically live within eight weeks, and operations and model updates are part of the service. A good fit if you want to hand over a concrete back-office process without building and maintaining an agent yourself. Less suited to customer chat, marketing content or an internal knowledge assistant; the platforms above are stronger there.

Platform or partner?

One difference often lost in comparisons: most platforms in this overview are tools. You, or an implementation partner, build the agent, test it and keep it running. With AgentsLab you hand over a process and the AI coworker runs as a service. Which route fits depends mainly on your own development capacity, and on who loses sleep when nothing comes through on a Tuesday morning.

Frequently asked questions

Getting started

Not sure which platform fits your process? In a Quick Scan we look at one concrete process and give honest advice, even if that advice is that another platform suits you better. Plan your go-live whenever it suits you.