AI-first engineering

Enterprise AI Consulting.

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.

Book an Intro Call Common Questions

3 horizons

Operating, building, positioning for AI

3 ways

Ways enterprises engage Logiciel

12 weeks

Operating model design engagement

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.

Details

Horizon 1 - Operating What You've Already Built.

Details · 01

AI portfolio inventory and rationalization

A single source of truth for every AI initiative across business units - risk classification, maturity stage, business owner, expected and realized impact. Initiatives that don't earn continued investment get sunset honestly.

Details · 02

Operating model and accountability

Clear lines among the AI Center of Excellence (or equivalent), business-unit product teams, the data platform org, and the risk and compliance functions. Who decides what. Who funds what. Who measures what.

Details · 03

Common governance, eval, and reliability standards

One AI governance program mapped to NIST AI RMF, ISO/IEC 42001, and the sector overlays you operate under - applied uniformly across the portfolio (see also our AI Governance Consulting page).

Details · 04

Cost discipline

AI FinOps applied across the portfolio. Most enterprise programs run 30–60% above an efficient cost profile in their first two years (see also our AI Optimization & Performance Services page).

Details · 05

Board and executive reporting

A quarterly cadence and artifact set that makes AI portfolio performance legible to the board AI subcommittee, the audit committee, and the CFO.

Under the hood

Horizon 2 - Building the Capabilities That Compound.

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.

Included

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.

Included

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.

Included

Vendor and platform consolidation. Three or four strategic AI platform decisions made deliberately, instead of fifteen tactical ones absorbed by accident.

Included

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).

Included

What we build

Horizon 3 - Positioning for the Operating Model AI Reshapes.

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.

What we build

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.

What we build

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.

What we build

What you get

What "Enterprise AI Consulting" Means When Logiciel Delivers It.

We sit inside an engineering company. Most of the strategic recommendations we make get implemented by Logiciel or a competing engineering partner downstream. We are accountable for implementability because our reputation is staked on implementation outcomes, not just decks. Strategy consultancies don't carry that constraint.

↳ What you get

We size for portfolios, not first pilots. Our engagement model assumes you already have an AI portfolio. If you don't, our practice is overbuilt for you and we'll say so.

↳ What you get

We tell you what to sunset. The hardest enterprise AI strategy work is honesty about initiatives that won't earn continued investment. Sunsetting them is where most of the cost recovery lives. We name them in the engagement and give you the artifacts to defend the decision internally.

↳ What you get

What we build

Three Ways Enterprises Engage Logiciel.

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.

What we build

Honest Qualifying - Read This Before Booking the Call.

You are an enterprise CTO, Chief Digital Officer, Chief AI Officer, or equivalent at a Fortune 1000 (or comparable mid-sized regulated enterprise).

You have a meaningful existing AI portfolio (typically 15+ initiatives in flight or planned).

You are accountable to a board AI subcommittee, audit committee, or CFO for AI portfolio performance.

You operate in at least one regulated environment (financial services, healthcare, insurance, energy, pharma, government, transportation, retail PII).

You are running your first AI pilot - start with our AI Implementation Services pages instead.

You are a startup or early-growth company - start with our AI Implementation Partner page.

You are looking for a specific technical engagement (data engineering, LLM build, agentic system) - book the relevant capability page instead.

Resources

Insights for tech leaders.

Whitepaper · PDF

AI - Powered Product Development Playbook

Whitepaper · PDF

Your Highest-Intent Buyers Are Sitting in Your CRM Four Times

Whitepaper · PDF

How an Energy Retailer Used Agents to Automate 40% of Customer Ops

Questions

Frequently asked questions.

What is enterprise AI consulting?

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.

How is enterprise AI consulting different from AI strategy consulting?

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.

Who typically engages Logiciel for enterprise AI consulting?

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.

How is Logiciel different from a Big Four AI consulting practice?

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.

Can you work alongside our existing strategy consulting partner?

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.

What does enterprise AI consulting cost?

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.

Do you sign as a board advisor or fractional Chief AI Officer?

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.

Let's build

The One-Week Workshop That Replaces the Next Six Strategy Meetings.

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.

Book an enterprise AI workshop

Enterprise AI Consulting.

See Logiciel in action.

Horizon 1 - Operating What You've Already Built.

AI portfolio inventory and rationalization

Operating model and accountability

Common governance, eval, and reliability standards

Cost discipline

Board and executive reporting

Horizon 2 - Building the Capabilities That Compound.

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).

Horizon 3 - Positioning for the Operating Model AI Reshapes.

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.

What "Enterprise AI Consulting" Means When Logiciel Delivers It.

Three Ways Enterprises Engage Logiciel.

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.

Honest Qualifying - Read This Before Booking the Call.

Insights for tech leaders.

AI - Powered Product Development Playbook

Your Highest-Intent Buyers Are Sitting in Your CRM Four Times

How an Energy Retailer Used Agents to Automate 40% of Customer Ops

Frequently asked questions.

The One-Week Workshop That Replaces the Next Six Strategy Meetings.