AI Implementation Partner for Mid-Market.

An AI implementation partner is an external engineering organization that builds and operates AI capabilities on your behalf - typically inside your environment, under your governance, and integrated with your existing systems. The partner is distinct from a strategy consultancy (which produces decks but doesn't build), a point-solution vendor (which sells a product), and an internal team (which is permanent headcount). Most mid-market companies engage partners for AI capabilities that need customization but don't justify a permanent internal AI engineering org yet.

The clearest signal is the timeline. If you need production AI in 8–16 weeks, a partner is materially faster than internal hiring. If you need it in 9+ months and AI will be a permanent core capability, internal hiring is the better long-term economics. Most mid-market companies start with a partner, validate the investment, and then layer in internal hiring once the value is proven.

Logiciel's mid-market practice is structured for organizations of approximately 200–2,000 employees and $50M–$500M annual revenue. We also work with smaller startups (separately, with a different engagement model) and enterprises (separately, through our enterprise AI consulting practice). The mid-market practice is intentionally sized for this segment - not a re-skinned enterprise offering.

Logiciel's mid-market AI implementation work has the deepest patterns in SaaS, FinTech, PropTech, ConstructionTech, healthcare, insurance, and B2B platforms. We have working patterns in most other industries; we will tell you on the fit call if your specific industry has constraints we don't have direct experience with.

Engagements range from low-six-figure fixed-scope sprints to monthly retainers in the mid-five to low-six figures for dedicated squads. The numbers are materially below Big Four AI consulting pricing for equivalent scope because we don't carry the partner-pyramid cost structure. We provide indicative pricing on the fit call.

Three structural choices. First, every engagement has a defined milestone shape - no open-ended retainers. Second, documentation and knowledge transfer are explicit deliverables. Third, the IP, code, and operational artifacts are yours from the first commit. We design for the relationship to be valuable, not captive.

The fit call ends with a recommendation. About 30% of fit calls conclude that we are not the right answer - usually because the right answer is internal hiring (for very large AI bets), a point-solution vendor (for commodity capabilities), or another partner with a specific industry depth we don't have. We make those recommendations directly and, where useful, refer to specific alternatives.