The hype around “forward deployed engineers” (or whatever we’re calling consultants this week) is real but it’s missing the point!!!!
Let me explain 👇🏾
They can wire up your agents and customize the tech stack. Great!
BUT they won’t fix the real blockers: - resistant teams, broken processes, zero trust in AI outputs, and leaders still treating this like another SaaS rollout
Companies aren’t failing at AI because the models aren’t good enough.
They’re failing because transformation is 20% tech and 80% human process reinvention.
That’s why enterprises need
@TribalScale more than ever!!!!!
We don’t just deploy AI.
We redesign how your people work with it at SCALE, with human-centered design and real agility.
The AI-first future isn’t coming from tools alone.
It’s coming from partners who actually change behavior!!!
Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts.
Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system).
With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly.
Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process.
Massive role in tech now. And another example of the kind of highly technical work that AI is creating.