An AI forward-deployed engineer for every customer.
Forward-deployed engineers are enterprise AI's scarcest hire: $200K to $550K each, embedded with one account at a time. Aimdoc makes the role software. One agent that scopes, provisions, configures, and operates your product for every customer you have.
What is a forward-deployed engineer?
A forward-deployed engineer embeds with a customer, configures a complex product in the customer's real environment, and stays accountable until it delivers value. Palantir invented the role. AWS is investing $1B to hire thousands of them. Deployment capacity is the binding constraint on enterprise AI, and every software company needs the function. Almost none can afford the headcount: a human FDE covers a handful of accounts per year. An AI FDE covers all of them. And note the direction: a first wave of AI FDEs deploys software you bought. Aimdoc is the FDE for the software you sell.
It joins the deal before the deal exists.
A real FDE shapes the deployment during pre-sales. Aimdoc does this at the first touch: it answers and qualifies every prospect, whether they arrive as a human on your website or as an AI agent at your gateway, and learns exactly what their environment needs.
- Every first touch: humans on your site, AI agents at your public gateway endpoint
- Deployment-grade discovery: use case, stack, volume, and requirements captured in conversation
- Qualified to an outcome: a demo, a human handoff, or a trial provisioned on the spot
It provisions the environment before first login.
The agent works through your application endpoints to create and configure each account from everything it learned: plan, settings, integrations, sample data. The customer signs in to a working environment, not an empty one.
- Provisioned through your endpoints: the agent acts through your product, scoped to the signed-in user
- Configured to the conversation: in real time or entirely behind the scenes, login delivered ready to use
- Logged end to end: every action recorded, human confirmation wherever you want it
It stays embedded for the life of the account.
A real FDE doesn't leave at go-live, and neither does the agent. Customers ask for what they need in plain language; the agent completes the work through your endpoints and its native in-app actions, shows what it did, and escalates to your team when judgment is required.
- Work completed, not explained: configuration, reports, tasks, and resolutions done in the product
- Shows its work: native in-app tooling walks the user through everything it set up
- Humans for judgment: your team steps in for the exceptions, with full context attached
Can you export last month's qualified leads to HubSpot?
On it — running the export now.
- Pulling qualified leads
- Mapping fields to HubSpot contacts
- Syncing records
- Sending you the summary
Done in 40 seconds — no ticket, no queue.
Human FDE vs. AI FDE
| Human FDE | Aimdoc | |
|---|---|---|
| Cost | $200K–$550K per engineer per year | A software subscription |
| Coverage | One account at a time, 60–180 day embeds | Every account, from first touch onward |
| Starts | After the contract is signed | Before the prospect signs up |
| Best at | Novel, custom integration work | The other 99% of deployments |
Keep your humans for policy, architecture, and the exceptions that need judgment. The agent handles the rest.