Enterprise AI Consulting - Built for CTOs Running an AI Portfolio, Not a First Pilot
Connect this quarter's AI pilots to the three-year AI operating model. Logiciel's enterprise AI consulting practice exists for the AI portfolio you're already running - not the one a brochure says you should start.
Most Fortune 1000 enterprises have somewhere between 20 and 80 AI initiatives in flight. They are inconsistently governed, unevenly funded, and rarely measured against a common framework. Horizon 1 work is about putting that portfolio on a defensible footing in the current fiscal year.
Horizon 1 deliverables are typically in market within 12 months of engagement.
Horizon 2 is where the AI investments that compound - the ones that lower the marginal cost of every future workflow - get designed and built. Most enterprises underinvest here because Horizon 1 firefighting absorbs the attention.
The AI platform layer. Shared retrieval, evaluation, governance, observability, and cost optimization infrastructure consumed by every business unit. After this is in place, the marginal cost of each new AI workflow drops materially.
Data foundations. Enterprise-wide data architecture that makes AI initiatives feasible: data contracts, lineage, quality, semantic layers, and the engineering platform underneath. Most stalled AI programs are stalled because the data layer wasn't ready, not because the AI was wrong.
Talent and operating muscle. A defensible internal AI engineering organization - sized appropriately, partnered with the right external capacity for surge work. Logiciel typically operates as the surge partner; we don't compete with your internal hiring strategy.
Vendor and platform consolidation. Three or four strategic AI platform decisions made deliberately, instead of fifteen tactical ones absorbed by accident.
Agentic patterns. Multi-step, governed agentic workflows replacing the linear "model → human → another system" patterns of the first AI generation (see also our Agentic AI Development Services page).
That's the operating picture. Reachable in 90 days for most PropTech AI teams.
This is the strategic conversation enterprise CTOs are actually having behind closed doors - and most consulting decks don't engage with it. Three structural shifts are visible enough now to position for.
AI as an operating layer, not a feature. The enterprises that win the next decade integrate AI into their core operating processes - order to cash, hire to retire, claim to settlement, customer support, R&D - not as point solutions but as a horizontal operating layer that materially changes labor and quality economics.
A defensible AI moat is data + workflow + governance, not models. Foundation models are commoditizing. The defensibility lives in proprietary data, workflow integration depth, and governance posture that lets you operate AI in places competitors can't.
The labor and operating-model implications. Headcount strategy, organizational design, and the social contract with the workforce are now legitimate AI program inputs - not separate HR considerations. Enterprises that ignore this dimension end up with technical wins and operational stalls.
Horizon 3 work in our engagements typically produces a written enterprise AI thesis and a three-year operating model design - artifacts your board AI subcommittee can review and your business unit leaders can plan against.
Three things are structurally different about Logiciel's enterprise AI consulting practice versus the alternatives.
A senior Logiciel partner + your executive team for a one-week intensive. Output: a current-state portfolio assessment, a Horizon 1 priority list, and a written engagement design for the next phase. The most common starting engagement.
A focused engagement to design the Horizon 1 + Horizon 2 operating model - governance, platform, talent, vendor strategy. Output: a board-ready operating model document and 12-month implementation roadmap.
A senior Logiciel strategist embedded as an extension of your CTO or Chief AI Officer's team, typically 8–16 hours per week, for multi-year programs. Includes quarterly board materials and continuous portfolio oversight.
This page is for you if:
This page is not for you if:
We say this directly because mis-fit engagements waste both sides' time. The enterprise AI consulting practice is the right answer for a narrow segment of buyers.
Enterprise AI consulting is the strategic advisory work that connects an organization's AI portfolio to its operating model, governance posture, and three-year strategic direction. It covers portfolio rationalization, AI operating model design, capability roadmaps, board-level reporting, and the structural decisions (vendor strategy, talent, platform) that determine whether the AI program compounds or fragments.
AI strategy consulting typically ends with a deck and a roadmap. Enterprise AI consulting includes the operating-model design needed to execute against the roadmap - accountability lines, governance posture, platform architecture, talent design, and the implementation cadence. Logiciel's practice intentionally bridges strategy and execution because most enterprise AI programs stall in the handoff.
Enterprise CTOs, Chief Digital Officers, Chief AI Officers, and EVP-level technology leaders at Fortune 1000 and comparable mid-sized regulated enterprises. Most engagements start because the executive team is accountable to a board AI subcommittee or audit committee for AI portfolio performance and needs a defensible operating model in place within a 12-month window.
Two differences matter. First, Logiciel sits inside an engineering organization, so our strategic recommendations are constrained by what we know is implementable - we don't make recommendations our engineering practice wouldn't build. Second, our pricing and engagement velocity are materially lower than Big Four practices because we don't carry the partner-pyramid cost structure. Most engagements run in 30–60% of equivalent Big Four pricing.
Yes, this is a common configuration. The strategy partner owns the board-level narrative; Logiciel owns the operating model design, platform architecture, and execution path. We have worked in joint configurations with most of the top global strategy firms.
The 1-week workshop is a fixed-price engagement in the mid-six figures. A 12-week operating model engagement runs in the low-to-mid seven figures depending on portfolio complexity. Embedded strategy partner engagements run on quarterly retainer scaled to the executive team's needs. These numbers are materially below comparable Big Four pricing for equivalent scope.
In limited cases, yes - for clients where the embedded strategy partner engagement evolves into a longer-term advisory or fractional CAIO arrangement. This is not a marketed offering; it emerges from existing engagements when the fit is right.
A senior Logiciel partner, your executive team, one focused week. You leave with a portfolio assessment, a Horizon 1 priority list, and a written engagement design for the next phase. The artifact alone usually pays for the workshop.
