AI agent platforms compared: Copilot Studio, Agentforce and building on your stack

Choosing an AI agent platform is a bigger decision than choosing an AI assistant, because the platform decides where your agents can act, what data they can reach, how approvals work and how hard it is to leave later. This guide compares the main AI agent platform options from the buyer’s side: Microsoft Copilot Studio, Salesforce Agentforce, the cloud platforms from Google and Amazon, and building on your own stack. It closes with when building on the Microsoft stack you already have is the better choice.

What an AI agent platform is

An AI agent platform is the software you use to build, run and govern AI agents: the place where you define an agent’s instructions, connect it to tools and data, set what it may do on its own and watch what it does. Some platforms live inside one vendor’s applications, such as a CRM; others are general building blocks on a cloud provider; and some businesses build agents directly on their own systems.

The right AI agent platform depends less on which model is “best” and more on where your work and data already live.

The 5 questions that decide the choice

1. Data: where does the data the agent needs live today, and can the platform reach it without copying everything?
2. Actions: can the agent write to the systems that matter, not just read from them?
3. Approvals: can you decide which steps wait for a person, and is every approval logged?
4. Cost: how is it priced, per user, per conversation or per action, and can you cap spend per agent?
5. Lock-in: if you leave, what comes with you: the rules, the prompts, the logs, the integrations?

Microsoft Copilot Studio

Copilot Studio is Microsoft’s low-code AI agent platform. Agents are built with a visual designer, connect to systems through Power Platform connectors and Power Automate flows, and are published where people work, usually Microsoft Teams. Microsoft’s overview of agents in Copilot Studio describes the options.

• Strong when: your work lives in Microsoft 365 and the systems you need have a connector.
• Watch for: complex processes across many non-Microsoft systems, and usage-based costs as volume grows.

Salesforce Agentforce

Agentforce is Salesforce’s AI agent platform, built into the Salesforce applications and data. Its agents work with your Salesforce records for sales, service and marketing tasks. See Salesforce’s Agentforce page for the current scope.

• Strong when: Salesforce is your system of record and most of the work happens inside it.
• Watch for: processes that depend on systems outside Salesforce, and pricing tied to agent activity.

Cloud platforms: Google and Amazon

Google Cloud and Amazon Web Services both offer agent-building services for developers, with model choice, tool calling and their own security and monitoring. They are building blocks rather than finished applications: powerful, but they need developers to turn them into business agents.

• Strong when: your systems and data already run on that cloud and you have developers.
• Watch for: the work needed to add approvals, business integrations and user-facing channels such as Teams.

Building on your own stack

The fourth option is to build agents directly on your own systems: your ERP, CRM, helpdesk and Microsoft 365, running in your own cloud tenant, with the model that fits each task. This is how we run our own agents.

• Strong when: a process crosses several systems, must write to them and needs approvals, cost caps and an audit trail designed for that process.
• Watch for: it needs a development partner or your own engineers, and a clear first process to start with.

AI agent platforms compared

	Copilot Studio	Agentforce	Google / Amazon	Your own stack
Best fit	Microsoft 365 work	Salesforce work	Developer teams on that cloud	Processes across many systems
Data it reaches	Microsoft 365 plus connectors	Salesforce data plus integrations	What developers connect	Any system with an API
Writes to systems	Through connectors and flows	Inside Salesforce, plus integrations	Through tools developers build	Directly, under your rules
Approvals	Through Power Automate	Inside Salesforce	Built by developers	Designed per step, in Teams
Model choice	Mostly Microsoft’s	Salesforce’s choice	Wide	The model that fits each task
Who builds	Power users or partners	Salesforce admins or partners	Developers	Developers or a partner

7 questions to ask in an AI agent platform demo

Vendor demos show the happy path. These questions show what running the platform will really be like:

1. Show me an agent writing to a system outside your own product. Reading is easy; writing to your accounting or helpdesk system is the real test.
2. Show me a step that waits for approval. Who sees it, where, and what exactly do they approve?
3. Show me the log of a run. Can you see every tool call, decision and approval, and export it?
4. What happens when the agent is unsure? It should stop and ask, not guess.
5. How do I cap spend for one agent? A daily limit per agent prevents surprises.
6. Can I change the model? If prices or quality change, can you switch without rebuilding?
7. How do I switch an agent off? One step, for one agent or for all of them.

A platform that answers all seven well is ready for real business processes. One that cannot show an approval step or a full log is better suited to assistants than to agents.

A simple way to score each option

Score each AI agent platform from 1 to 5 on the five questions earlier in this guide: data, actions, approvals, cost and lock-in. Weight data and actions twice, because an agent that cannot reach your data or write to your systems will not save time, however good its model is. Run the scoring for your first process, not for your whole company; the right platform for inbox triage may differ from the right one for proposals.

Lock-in and how to limit it

Every AI agent platform creates some lock-in. You can limit it whichever one you choose:

• Keep the rules in plain language, outside the platform, so they can be rebuilt elsewhere.
• Keep the logs. Export the record of what agents did and who approved it.
• Connect through APIs, not platform-only shortcuts, wherever you can.
• Avoid tying an agent to one model. Platforms that let you change models protect you as prices and quality change.

When building on the Microsoft stack wins

For most small and mid-size businesses already on Microsoft 365, building on the Microsoft stack is the practical choice: staff already work in Teams, identity and permissions are already in Microsoft Entra, and Azure gives you model choice and security in your own tenant. The question becomes whether a process is simple enough for Copilot Studio or needs a custom agent built on Azure with approvals designed for it.

That is how we built ours: agents that talk to staff in Teams, run on Azure with the model that fits each task, and act in our ERP, CRM and helpdesk with approvals and an audit log. We explain the options side by side on our page about Copilot licenses, an AI app or agents built on your stack, and how we build them in our guide to AI agents for business.

Frequently asked questions

What is the best AI agent platform?

There is no single best AI agent platform. The best one is the platform closest to where your data and work already live, that can write to the systems you need, and that lets you control approvals and cost.

Is Copilot Studio an AI agent platform?

Yes. Copilot Studio is Microsoft’s low-code platform for building agents that connect to Microsoft 365 and other systems and run in Teams and other channels.

Can we use more than one AI agent platform?

Yes, and many businesses do: a CRM vendor’s agents for work inside the CRM, Copilot Studio for Microsoft 365 workflows, and custom agents for processes that cross systems. Keep governance in one place so you can see all of them.

How are AI agent platforms priced?

Pricing models vary: per user, per conversation, per action or by cloud usage. Ask for the pricing model, estimate your monthly volume and make sure you can cap spend per agent.

Do AI agent platforms need developers?

Low-code platforms such as Copilot Studio can be used by skilled power users for simple agents. Agents that write to several systems with approvals and cost control usually need developers or a partner, whichever platform you choose.

What should we build first?

One high-volume process with clear rules, such as sorting a shared inbox or answering inbound inquiries. Prove it in shadow mode before choosing a platform for everything. Our free AI readiness assessment helps pick the first one.