Compare
Compare the ways to put AI agents to work
Most teams weigh three broad options for AI agents: a SaaS agent tool, building in-house, or a partner that brings its own platform, like Agentifiers. They differ in where agents run, whose brand people see, what you must build first, and what you keep if you part ways. The table compares them, and the guides below go deeper.
How we're different
Own it, without building it from scratch
| Question | SaaS agent tools | Building in-house | Agentifiers |
|---|---|---|---|
| Where agents run | The vendor's cloud | Your cloud | An AWS account in your org, or hosted Deployments.ai in ours |
| Whose brand people see | The vendor's | Yours | Yours |
| Platform to build first | None | All of it | None — we set it up, or you use hosted Deployments.ai |
| Who redesigns the workflow | You | You | We do, with your team, for internal agents |
| Audit trail and run history | In the vendor's product | Whatever you build | In your platform, exportable |
| If you part ways | Start over | Nothing to part with | Keep the code and your data |
With Agentifiers, the platform, Deployments.ai, runs in an AWS account in your AWS Organization (BYOC), or hosted and managed by us in our AWS account. For internal agents, we redesign the workflow with your team; see internal agents. For agents in your own product, seeagents in your product.
Comparison guides
- Guide
Five ways to get AI agents into production, and when each one fits
A large systems integrator, an in-house build, no-code automation tools such as n8n or Zapier, SaaS agent tools, or Agentifiers. Plus ten questions to ask any AI agent partner. - Guide
Building on Amazon Bedrock AgentCore yourself, or working with Agentifiers
What AgentCore’s AWS-managed services give your team, what you still design and build, and when each route is the right call.
Background
Not sure which option fits?
Tell us what you're exploring. We'll say plainly whether Agentifiers fits, and if another option fits better, we'll say that too.