The Best AI Consulting Services by Engagement Model
Six AI consulting services compared by how each one sells its work, from fixed scope sprints and retainers to staff augmentation and pricing per role automated.
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You need separate budgets for discovery, a custom build and monthly operation.
Mercury publishes price indications for discovery and production, then describes monthly billing for ongoing work. That gives finance a more concrete starting point.4,5,6
Trade-off: Starting prices and typical ranges still need a quote for your project. Get the connections, controls and continuing work spelled out.5,32
You need someone to lead the AI agenda while your team or another supplier builds.
Dualboot offers part-time senior AI leadership, including responsibility for the work and a roadmap. That is a closer match when direction is the missing resource.7,21,20,8
Trade-off: A leader's time is not the same purchase as a working system. Include the people doing the build if the agreement must deliver one.7,8,9
The first project needs to leave your people able to run and extend the result.
BlueLabel says it trains client staff as it builds. It also describes turning the agreed strategy into the build specification.14,13
Trade-off: You still need people to receive that training and a practical handover exercise. The training promise does not list which assets will transfer.14
The prototype works in a demo, but you cannot yet rely on it in everyday use.
DOOR3 describes a service for that gap, including the logs, monitoring and alerts needed to follow a system in use.26,29
Trade-off: Discovery may reveal more building to do. Accepting those findings and agreeing to fund the build should be separate decisions.25,26
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