Advisory engagements typically cost from about $5,000 for a focused readiness assessment to $50,000 or more for a full strategy and roadmap, with ongoing advisory priced monthly. The price scales with the depth of the work and the size of your organization.

A well-run AI adoption strategy usually starts small, with an assessment that pays for itself by stopping a costly wrong turn, and expands only into work that proves worth doing. We give you a fixed scope and price before any work starts.

The real return is avoided waste: the projects you do not fund, the vendors you do not overpay, and the rework you skip by planning first. Most clients find the consulting costs far less than one failed AI project would have.

We run an AI readiness assessment that scores your data, infrastructure, team skills, and use cases against what AI actually requires. It tells you plainly whether you are ready to build, or whether groundwork on data or skills has to come first.

Readiness is mostly about data and clarity: whether your data is usable, and whether you have a problem worth solving. We check both, then give you a prioritized list of what to fix before any model is trained.

The assessment usually takes 2 to 4 weeks and ends with a report your leadership and engineers can both use, so you know exactly where you stand and what the first realistic step is.

AI consulting focuses specifically on where and how to use AI, combining the business view of management consulting with the technical depth to actually build the solution. IT consulting keeps your systems running, and management consulting advises on strategy, while this bridges both for AI in particular.

Our AI transformation consulting covers the full picture: the business case, the data, the architecture, and the governance, from one team that can also build what it recommends.

That is the difference between advice you can act on and a plan nobody can execute. Our AI implementation consulting then carries the strategy through to a working system, so you are never left with a roadmap you cannot deliver.

An AI consultant helps a company find where AI creates real value, plans how to adopt it, and guides the work so it ships safely and pays off. The role blends business judgment, data know-how, and enough engineering depth to tell a good idea from an expensive one.

Day to day, that means running a readiness review, shortlisting use cases, building a roadmap, and advising on architecture, cost, and governance. Our AI advisory services can stay with you through delivery or hand a clear plan to your own team.

A good consultant also says no: the biggest value is often the projects they talk you out of. You leave each engagement with a decision you can defend and act on.

A focused readiness assessment usually takes two to four weeks, and a full strategy and roadmap runs about six to eight weeks, depending on the size of your data and the number of use cases. Ongoing advisory then continues for as long as it adds value.

Our AI strategy consulting front-loads the understanding phase, so the first weeks produce the facts every later decision rests on. You see a usable output early rather than waiting months for a single big deliverable, so the work stays useful even if priorities shift.

Timelines stretch with the number of systems and stakeholders involved. A larger enterprise AI consulting program runs in phases across quarters, and we give you a dated plan before any work starts.