What enterprise AI consultants actually do behind the buzzwords

Early_Protection6814 · reddit · 2026-07-24

A Reddit post breaks down what enterprise AI consultants actually do in practice.

The job starts with listening: mapping business workflows, bottlenecks, repetitive tasks, and decision points before discussing LLMs or agents.
A major part of the role is saying no to unrealistic requests and narrowing broad “do everything” ideas into a viable first use case.
Consultants also reality-check data readiness, security, access, and historical coverage before a project moves forward.
The post argues that many projects should use simpler tools than an LLM, such as automation, classical ML, predictive analytics, or computer vision.
In execution, consultants may build prototypes, RAG systems, agents, integrations, and production deployments—or work alongside internal teams.
Governance and measurement matter: security, privacy, compliance, human oversight, time saved, cost reduced, accuracy, adoption, and ROI all determine whether the initiative was worthwhile.

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