Source-available agent platform · white-glove setup
Agentifiers builds supervised agents for your internal processes in an AWS account in your AWS Organization — and gives product teams a multi-tenant, source-available platform to ship agents to their own customers.
Two ways to work with us
Give us an AWS account in your AWS Organization. We deploy the platform there, set it up under your brand, and build supervised agents for your finance, support, operations, and people processes.
Give every one of your customers an isolated tenant and let your engineers ship agents through the API and SDK. Run it the way that fits your team.
Internal agents
Most companies are stuck between AI pilots that never ship and SaaS tools that hold their data and their processes. We take a different route: we stand up the platform in an AWS account inside your AWS Organization, brand it for your people, and then do the hard part — redesigning real processes so agents carry the load and humans make the calls.
Your cloud, your data, your keys
Your brand on every agent
Humans approve what matters
We provision the platform with OpenTofu into the AWS account you give us, wired into your IAM, your encryption keys, and your environment layout — including separate dev and prod accounts.
You own the account, the state, and the bill.
We make the platform yours: your name, your domain, and agent identities your people recognize in Slack, in email, and in the apps they already use.
Your people work with your agents, not a vendor's.
We map a process with the people who run it, then design, build, and evaluate supervised agents that take on the repetitive steps and route decisions to the right humans.
One process at a time, measured against your own baseline.
Once agents are live, we watch the traces, tune what drifts, and take on the next process — or train your team to run everything themselves.
Keep us embedded, or take the keys.
Where we start
How an internal agents engagement works
We sit with the people who do the work, map the process end to end, and pick where agents earn their keep first.
You give us an AWS account in your AWS Organization. We provision the platform there with OpenTofu, under your IAM and your keys.
Your name, your domain, and your agent identities — in Slack, in email, and in the tools your team already uses.
We build, evaluate, and ship supervised agents, with approvals wherever money, customers, or risk are involved.
Start with one process. Expand when it proves itself.
Agents in your product
The same platform, built for products that serve many customers. Each customer gets an isolated tenant. Your engineers define agents as code, call functions inside your app, and ship through versioned releases — self-hosted in your own AWS account, set up by us, or on our hosted platform.
Bring your own cloud
When the platform runs in an AWS account in your org, everything we deploy lives in infrastructure you control. If we part ways tomorrow, the platform, the agents, and the history of every run stay with you.
Agent runtime, workflow state, traces, and audit logs live in an account under your AWS Organization, your IAM policies, and your encryption keys. Model calls go only to the providers you approve.
Your name on the platform, your domain on agent email, your agents' names and icons in Slack. Shipping the platform to your own customers under your brand is offered under a commercial license.
The platform source is public under the Functional Source License (FSL-1.1-ALv2). Your engineers can read, audit, and extend every part of what runs your agents.
Insights
Agentifying a workflow is not adding a chatbot. It is mapping the work, deciding where people stay in charge, and shipping supervised agents you can measure, version, and own.
Sep 24, 2026 — 04 mins read
Agents read your invoices, contracts, and customer records. That work should run in infrastructure you control, under your keys and policies, with a trail you can audit.
Sep 17, 2026 — 04 mins read
Small businesses have the same repetitive workflows as large ones, with fewer people to absorb them. Here is how supervised agents fit a small team without an enterprise budget or IT department.
Sep 10, 2026 — 04 mins read
Approval points are not a brake on agents. Placed deliberately and enforced by the platform, they are what lets your team trust agents with real work. Here is how we design them.
Sep 3, 2026 — 04 mins read
