An AI implementation consultant builds AI systems and puts them into use: connecting the data, building the workflow or model, testing it against an agreed standard and handing it over in production. An AI strategy consultant decides which AI work a business should do, in what order and why, and usually delivers a roadmap rather than a working system. For an ecommerce brand of $5M to $200M, the useful hire is usually a firm that runs a short strategy phase and then builds. This answer is from Brand Media Works, an AI consulting and marketing data engineering firm for ecommerce brands.
What does an AI implementation consultant do?
An implementation consultant turns one chosen use case into a system the team uses every day. For an ecommerce brand that usually means:
- Getting access to the data, such as Shopify orders, Klaviyo profiles, ad platform spend and the support desk, and checking that the numbers agree before anything is built on them.
- Building the workflow or model, such as drafting support replies, writing product descriptions, enriching the catalog or flagging orders for review.
- Testing it against a pass mark agreed before the build, using the brand's own examples.
- Connecting it to the tools people already use, with access controls and logging in place before the wider team sees it.
- Handing it over with a runbook, monitoring and a named owner on the brand's side.
The work has a clear shape. One AI consulting boutique runs implementation as a twelve-week build: the first week sets the baseline, data access and the test the system's answers must pass, week three is a stop point, and week six is the smallest version doing real work for a first group of users. The same firm says it has watched promising pilots stall for nine months over a missing service account, which is why access is settled in week one rather than left to the end.
What does an AI strategy consultant do?
A strategy consultant answers the questions that come before a build: where AI could pay back, how ready the data and team are, which use cases to do first, what governance is needed and which vendors to use. The output is a written assessment, a ranked list of use cases and a roadmap.
Published timelines show the stages. One AI software and strategy firm puts a standalone readiness assessment at two to four weeks, strategy and roadmap development at 6 to 12 weeks and a combined strategy-plus-pilot engagement at 12 to 20 weeks. Some brands keep strategy as an ongoing role instead, through a fractional Chief AI Officer: one AI consulting boutique says published rates for that role run from about $5,000 to $30,000 a month, with the spread driven mostly by days per month and seniority.
How do the two roles compare?
| AI strategy consultant | AI implementation consultant | |
|---|---|---|
| Main question | What should we do with AI, and in what order? | How do we build this one thing and get it into use? |
| What you have at the end | An assessment, a ranked list of use cases and a roadmap | A working system in production, with a runbook and an owner |
| Typical length | 2 to 4 weeks for an assessment, 6 to 12 weeks for a roadmap, at one firm | 12 weeks for a build at one boutique, with a first live version by week six |
| Published prices | Small strategy assessments at $5,000 to $25,000, at two firms; strategy and assessment packages at $25,000 to $75,000, at one firm | Simple integrations at $10,000 to $30,000 and full implementation projects at $100,000 to $200,000, at one firm |
| Hourly cost | A 20% to 40% premium over implementation work, at two firms | Lower per hour, with more hours |
| Main risk | A roadmap nobody builds | A system built for the wrong problem, or a pilot that never reaches production |
The labels blur in practice. Many firms sell both, and many implementation engagements open with a short assessment. The useful test is what the brand will have when the engagement ends: a document, or a system people use.
Which one does an ecommerce brand need?
Most brands of $5M to $200M with one or two clear problems need implementation, preceded by a short scoping phase rather than a separate strategy project. One AI strategy and implementation consultancy recommends that founder-led firms with $5M to $50M in revenue start with a $25,000 to $75,000 discovery and pilot engagement over three to four months, then move to a fractional AI lead or an internal team once the return is proven.
A separate strategy engagement makes more sense when AI touches many functions at once, when a board or investor wants a plan before money is committed, or when the brand cannot yet name the problem it wants solved. Even then, ask for a roadmap another firm could build from, so the brand is not tied to whoever wrote it.
Budget for the step after the pilot. One AI software and strategy firm says moving a successful pilot into production typically takes 3 to 8 times the pilot investment, driven by data pipelines, security hardening, monitoring and integration. How much AI implementation costs sets out published prices for each stage.
How do you tell them apart on a first call?
- Ask what will be running at the end. An implementation consultant names a system and a date; a strategy consultant names a document.
- Ask who writes the code. Some strategy firms hand the build to a partner or back to the brand.
- Ask whether they build what they recommend. If they do, ask for the roadmap in a form another firm could use.
- Ask about the pass mark and the stop point. Both belong in an implementation contract from the start.
How to choose an AI consulting firm covers the wider checks and the questions to ask any firm, and Custom AI tools describes the builds Brand Media Works delivers after a short scoping phase.
Frequently asked questions
Is an AI implementation consultant the same as an AI engineer?
No. An AI engineer is one role on a build team. An implementation consultant, or the firm behind one, scopes the work, leads the build, tests it and hands it over, and usually brings engineers, a data engineer and a project lead with them. The same title is also used for in-house roles; this answer covers outside consultants a brand hires.
Do we need a strategy consultant before an implementation consultant?
Not usually. If the brand can name one problem and give access to the data behind it, a short scoping phase at the start of an implementation engagement covers the strategy work that matters. A separate strategy project earns its cost when the questions span many teams or the problem is not yet clear.
Can one firm do both?
Yes, and for a mid-market brand that is often simpler. Ask for the strategy output in writing, priced and delivered as its own phase, so the brand can take it to another firm if the build does not go ahead.