Enterprise AI adoption
that actually sticks.

Most companies buy AI tools. Only 20% of teams actually use them. We close that gap.

Trusted by enterprise teams at

L'Oréal EssilorLuxottica IGN Adisseo Vusion ZELIQ Conseil National du Numérique

Why most enterprise AI rollouts fail

01

Training is generic

Teams sit through demos of features they will never use. They learn to write a poem in ChatGPT, then go back to fixing grammar in emails. Real adoption needs training on their actual workflows.

02

No governance

IT bought the license. But no one decided what data is OK to paste in, who owns the prompts that work, or how to handle shadow AI. Without guardrails, leadership pulls back at the first incident.

03

No measurement

"Are people using it?" — silence. "How much time are we saving?" — silence. Without weekly active users by team and time-saved per role, AI is a line item on the budget, not a productivity gain.

How we work

Three engagement shapes, depending on where you are. All hands-on. All on your real work. No PowerPoints.

2 hours

Executive briefing

For the C-suite or leadership team that needs to make a call this quarter.

  • State of enterprise AI: what's real, what's hype
  • Risk and governance framework
  • Where to start in your business
  • Q&A on your specific situation
2 days on-site

Team enablement sprint

For a team (marketing, sales, ops, product) with licenses they aren't using.

  • Usage audit before we arrive
  • Workshops on the team's real tasks
  • 5–10 custom GPTs or Copilot agents built live
  • Playbook for the next 30 days
6 weeks

Full adoption program

For organizations rolling out across multiple teams or business units.

  • Stakeholder interviews + baseline measurement
  • Role-based curriculum across 5+ teams
  • GPT/agent library + governance framework
  • Executive dashboard + handover playbook

How we compare

Honest side-by-side. Some companies should hire a Big 4. Most should not.

Spicy Advisory Big 4 / Big consultancy Internal IT only
Time to first workshop 2 weeks 2–3 months 3–6 months
Engagement length 2 hours to 6 weeks 3–9 months minimum Indefinite
Senior time on your account 100% (2 founders) ~10% (partner) + juniors Whoever is available
Hands-on with the actual tools Every session Rarely Depends on stack expertise
Measurement framework Dashboard, week 1 and onwards End-of-engagement report Usually none
Output Usage, GPTs, playbook, dashboard 200-slide deck + recommendations Licenses provisioned
Typical 6-week cost €25k–€60k €150k–€500k+ Sunk salary cost

Tools, teams, locations

Tool-agnostic. We train teams on whatever stack you bought, in any city in Europe.

Frequently asked questions

What does an enterprise AI adoption consultancy actually do?

An enterprise AI adoption consultancy closes the gap between buying AI tools and teams actually using them. We run usage audits, design role-specific training around your team's real workflows, build a starter library of custom GPTs or Copilot agents, set up governance and measurement, and support the rollout for 6 weeks. The output is not a slide deck — it's measurable usage and time saved per role.

Why do most enterprise AI rollouts fail?

Three reasons. First, training is generic — teams sit through demos of features they will never use in their actual job. Second, there is no governance — IT bought the tool, but no one decided what's OK to paste in or who owns prompts. Third, no measurement — leaders cannot tell who is using it, on what tasks, and what time was saved. We build for all three from week one.

How long does an enterprise AI rollout take?

Our standard adoption program runs 6 weeks: week 1 is the usage audit and stakeholder interviews; weeks 2–3 are role-based workshops; weeks 4–5 are the GPT/agent library build, governance framework and pilot measurement; week 6 is the executive readout and handover playbook. Faster scoped engagements (executive briefing, single-team enablement) take 2 days to 2 weeks.

Which AI tools do you train teams on?

ChatGPT Enterprise and Team, Microsoft 365 Copilot, Google Gemini for Workspace, Anthropic Claude (Team and Enterprise), NotebookLM and Perplexity Enterprise. We are tool-agnostic — we train teams on whatever stack the company has already bought, and we will tell you honestly if a different tool fits a specific use case better.

Do you work in French and English?

Yes. Workshops are delivered in French or English depending on the audience. Our team is fully bilingual and we have run on-site rollouts in Paris, Lyon, Bordeaux, Marseille, Toulouse, Lille, Nantes and London. For pan-European teams we run two tracks simultaneously.

Which clients have you worked with?

Past and current clients include L'Oréal, EssilorLuxottica, IGN, Suntory, Adisseo, Vusion, ZELIQ and Conseil National du Numérique. We focus on mid-market companies (200–5,000 employees) and large enterprise divisions where a focused 6-week engagement can move the needle measurably.

How do you measure success?

Three metrics, baselined at week 1 and measured at week 6 and month 3: (1) weekly active users on the licensed AI tool, by team; (2) time saved per role on a defined task set, measured by self-report and spot-check; (3) qualitative wins — workflows replaced, GPTs in production, governance policy live. We hand over a dashboard, not a PDF.

How is Spicy Advisory different from a Big 4 or internal IT?

Big 4 sells strategy decks and 6-month engagements. Internal IT focuses on procurement and security. Neither closes the usage gap. We are a senior 2-person team with 30+ years combined experience that works directly with the teams using the tools — fewer middle layers, faster outcomes, hands-on with the actual work. We start in 2 weeks, not 2 months.

Let's actually use your AI licenses.

30 minutes. We will tell you, honestly, whether a 6-week engagement is the right call — or whether a 2-day sprint is enough.

Book a call