Consulting should produce a scoped first workflow and a price path — not a transformation narrative. Here is what a Zion engagement includes before you scale.
Buyers do not fail at AI because they picked the wrong model. They fail because they bought a program before they bought a first workflow. AI consulting services exist to prevent that: decide what to build, what not to build, and what “done” looks like before implementation spend starts.
If the first workflow is already an agent, read autonomous AI agents next. If you only need a commercial starting point, go to pricing / Discovery.
Hire a partner when at least two of these are true:
Do not hire a partner to “explore AI.” That is an internal workshop. Hire when you need someone accountable for a first production path — including the decision to stop if the workflow is not ready.
A useful consulting engagement is narrow. Ours is built around four deliverables, not a catalog of workshops:
What is out of scope until Starter is agreed: platform selection theater, multi-year roadmaps, and any claim that a pilot will “transform the business.” If you need an agent after the design is solid, that work sits on the agents track, not inside an open consulting retainer.
The sequence is fixed so you are not paying for implementation while the problem is still fuzzy.
A paid 30-minute call. We review the situation, name the first workflow (or say there isn’t one yet), and outline the engagement type. You get a written follow-up: recommended next step, assumptions, and what we would need to quote Starter. Details live on pricing.
A fixed-scope first implementation: one workflow, named integrations, named approval gates, and a handoff. Starter is how you prove the operating model. It is not a discounted “phase 1” that hides the rest of the price.
Proof is operational, not a vanity metric. The workflow runs in your environment, your team can see the log, and there is an SLA or runbook for what happens when it fails. We do not invent ROI percentages. If you need a number for a board pack, you measure it after the workflow has a baseline — during a defined evaluation window, not from a slide.
DIY is the right call when you already have a technical owner, access to the systems, and a single workflow you can ship without a committee. A partner is the right call when those pieces are split across teams — or when the risk is integration and operations, not model choice.
The honest split is written down. If a vendor cannot tell you who does the work after week two, you are buying a slide deck. Service detail is on AI consulting services.
Book a 30-minute Discovery call ($99). You get a written next step and a clear scope before any implementation work starts.
Also see pricing · AI consulting · agents