AI is only worth what it does for your operation. Forward deployed engineers sit with your people, learn how your business actually runs, and turn that into agents and automations carrying real load.
Which system holds the truth, who is allowed to decide what, which "quick" process has eleven exceptions: that is the actual problem. It lives in your people's heads and your tools' history. Someone has to sit close enough to learn it, and have built enough of this to know what will hold up in production.
Some teams want a platform that arrives with the governance already built. Others have their models and their architecture settled, and want the work delivered inside them. Both are good answers, and which one fits depends on your systems, your constraints and how far along you already are. We build either way, so the advice you get is not shaped by what we would rather sell you.
Devtech Forge AI arrives with connectors, agents, approval gates, policies and an audit trail already built, in a single-tenant instance in your region. We run our own infrastructure and models, so it is a flat monthly fee per agent, however hard that agent works, with no token bill behind it.
As an Anthropic partner we build with Claude, and we work with the other major providers and cloud AI services. Where you already have a model relationship, we build on it rather than around it.
Agents, retrieval and automation built into your product or your internal platform, on your cloud, under your existing security and procurement rules.
Engagements are scoped in weeks, not quarters, and measured by work moved off people's plates rather than hours logged. A typical shape:
We sit with the teams whose work is in scope and map what actually happens, exception by exception. That decides the approach, the models and where the data has to stay, and the environment is set up accordingly.
The first agents and automations go into production against real tickets, alerts and requests, with a person approving what matters. Your people review the outputs; we tune until they'd sign their name to them.
More teams, more automations, work that runs overnight. Your engineers and admins take the controls; we stay on as needed, then step back to a lighter touch.
Get the agent to your code, tickets, documentation, chat, monitoring, support and CRM data; decide what is in scope for which use case; set the controls your admins will enforce.
Agents with the right instructions and reach, workflows with approvals where a person should decide, scheduled work for the recurring jobs nobody wants.
Which model for which step, what it costs per run, where it fails. Measured on your own cases, so the choice survives contact with your data.
Run the new way alongside the old until your team trusts it; measure what moved, what got faster and what the humans stopped having to do.
Working sessions with your engineers and admins, so building the next automation is something they do without us.
Regular reviews on what is now running without people, with the run history and audit trail to back it up.
Forward deployed engineers make the most sense when the work is clear and the appetite is there, but the hands are not.
Deployed in minutes. Priced to the dollar.