A forward deployed engineer (FDE) is a senior engineer who embeds directly inside your team, learns how your business actually works, and ships the first working solution in your real environment — not a slide deck or a proof-of-concept that dies in a demo. The model pairs product-grade engineering with on-the-ground context, so what gets built solves the problem you actually have.

Agentic context engineering — building the infrastructure that captures, distills, and routes your business knowledge to the right agent at the right moment — is the real moat in agentic operations. The model is a commodity. Every company will have access to the same frontier models, the same orchestration frameworks, the same agent toolkits. What they will not have is your organization's accumulated context: the decisions made in Tuesday's client call, the constraint surfaced in an internal chat, the process refinement your team discovered two quarters ago.

AI workflow automation is the use of artificial intelligence — including large language models and autonomous agents — to run multi-step business processes that adapt to context, handle unstructured inputs, and correct their own errors. Unlike rules-based automation, which executes fixed scripts, it reasons toward a goal and adjusts when conditions change.

Most small and mid-sized businesses move to the cloud expecting one thing above all else: someone else will handle the security. You sign up for Microsoft 365, migrate a few servers to Azure or AWS, adopt a handful of SaaS tools, and the mental model quietly becomes the provider is a giant tech company, so my data must be safe. It is the single most expensive assumption we see at Facet MSP, and it is wrong in a specific, correctable way.