What does an AI consulting firm do, phase by phase

Reading the service pages of the firms that top the rankings shows how wide the term stretches.

• BCG says it pairs strategic guidance with applied AI and moves clients from scattered pilots to measurable business value. It organises its work around deploying AI in everyday tasks, reshaping critical functions and inventing new revenue.
• Bain says it rethinks client goals with AI in mind and builds high-value use cases from proof of concept to production. It also lists capability building, training and change management.
• Accenture lists industrial AI, data services, generative AI, AI strategy and value, responsible AI and an AI platform it calls AI Refinery.
• Artefact describes three pillars: strategy, deployment of data platforms and production-grade agentic AI, and adoption through training.

Three of the four mention building or deploying, but each frames it differently. Our map of AI consulting firms by kind shows how those framings line up.

None of these pages tells you what happens on day 90. Service pages describe capability. They rarely describe who is on call, what the handover contains or what breaks first. Those answers come from a reference call with someone who has lived through the engagement or a written scope, which is why buyers who only read service pages tend to compare brand and miss delivery.

Several things sold under the label are different products. Knowing the difference stops you paying consulting rates for them.

• A tool subscription. If a hosted product solves the problem, you need configuration, not a firm.
• Licence resale. A firm that earns a margin on a platform has a reason to recommend it.
• Staff augmentation. You get hours from an engineer who reports to you, with no accountability for the outcome.
• Training alone. Useful, but it does not leave a system running.
• A strategy deck with no owner. The Hackett deliverables above are real work, and they are worth buying only if someone acts on them.

See AI consulting firm vs freelancer for the person-or-firm decision and AI consulting companies for how company size changes the work.

The same label hides very different scopes. When a proposal arrives, mark which phases it contains and which it leaves to you.

• Strategy houses usually cover discovery and scoping, and sometimes advise during build. The output is direction and a roadmap.
• Large consultancies cover all five phases on paper, with the work split across many teams. Ask who is accountable for production.
• Data and AI specialists tend to be strongest in discovery, data platforms and build.
• Product-engineering firms cover scoping through run for one named system, and are the weakest choice for a board-level strategy question.

A proposal that skips production and run is not wrong. It is a plan for someone else to execute, and the price should reflect that. A proposal that covers all five phases with no handover is the opposite risk, because you cannot leave.

Digiton is an AI consulting firm that builds AI agents and custom AI software and takes systems built with Claude, Cursor or Lovable into production. Brandon Da Costa has built automation systems since 2020 and AI systems in production since 2023. The practices:

• AI agent development, for agents with tools, permissions and a kill switch.
• Custom AI development, for larger systems built around your data.
• Production engineering, where we read the real repository and give you a scorecard across ten layers with evidence for each.
• Workflow automation, and an owner acquisition engine for short-term rental managers.

It does not suit a board strategy deck, regulated advice or a budget a tool subscription already covers. The entry step is a 25-minute scoping call. If your need sits in the advisory phases only, a strategy house will serve you better, and we will say so on that call.