Where Bluelake fits
Many IT consulting firms research their accounts with an AI connected to their tools, a contact database and their CRM. Here is what each one gives you, and what Bluelake adds: the market and the know-how.
The same question, two answers
Before a meeting, a rep asks about an account. Here is what comes back.
A generic AI agent
What should I know before my meeting with LVMH?
LVMH is the world's leading luxury group, with Maisons in fashion, beauty, wines and spirits, watches and jewelry.
- Recent news: investment in digital and in the client experience across the Maisons.
- Technology: likely a major cloud provider such as Google Cloud or Azure, and BI tools like Power BI or Tableau.
- Who to contact: the Chief Data Officer, the CTO or the Chief Digital Officer.
Sources: the company website and press releases.
Useful context. Nothing on what the account built, what it is hiring for, or who decides.
Billy
What should I know before my meeting with LVMH?
LVMH built a group AI Factory for recommendation and sales forecasting on Dataiku and Vertex AI, GenAI & Responsible AI programs and creative AI research. It has 3 open Data & AI job posts, 2 of them reposted, the latest on Oct 20. A Group Head of AI Solutions joined in September, and 20 strategic sponsors lead its data work. Your email draft is ready.
3 projects
| Project | Stack |
|---|---|
| Group AI Factory: Recommendation & Sales ForecastingActive · 24 named profiles | DataikuVertex AIGCP |
| GenAI & Responsible AI: Group ProgramsActive · 20 named profiles | Generative AIVertex AILangChain |
| Creative AI & Computer Vision R&DActive · 9 named profiles | PyTorchOpenCVHugging Face |
3 open roles
| Role | Openings | Tech |
|---|---|---|
| Data Product & ProjectLatest Oct 20 | 1 | |
| Data ScienceLatest Sep 24 | 1 | PyTorchPythonTensorFlow |
| Data Analysis & BILatest Sep 15 | 1 | PythonSQL |
4 key people
| Person | Role |
|---|---|
| Group Head of AI Solutions↗ Joined Sep 2026 | IT Leadership |
| Global Head of Data & AI, Data AI Factory✦ Sponsor4 projects | IT Leadership |
| Group Head of Data & AI Engineering✦ Sponsor | IT Leadership |
| Architecture, Data / AI & Integration Director✦ Sponsor | IT Leadership |
1 draft
| To | Subject |
|---|---|
| Group Head of AI Solutions | The AI Factory, from recommendation to generative AI |
Billy sends nothing without your approval.
An illustration using LVMH, with real data. The first answer is typical of what an AI agent that searches the web returns; results vary by tool and question.
What it knows
- Your AI
- The web, and the history in your tools
- Contact databases
- Names, titles and contact details
- Your CRM
- What your team has logged
- Bluelake
- Each company's projects, open roles and new arrivals
Depth on an account
- Your AI
- Generic, rarely sourced
- Contact databases
- Records, not projects
- Your CRM
- Your own notes
- Bluelake
- Projects with their technologies and evidence
Who decides
- Your AI
- A guess from public pages
- Contact databases
- Bulk contacts by title
- Your CRM
- The contacts you already have
- Bluelake
- Strategic sponsors and decision makers, company by company
What changed
- Your AI
- Only what you ask again
- Contact databases
- Rarely tracked
- Your CRM
- What your team logs
- Bluelake
- New job posts and arrivals, with an alert when you create one
Who does the work
- Your AI
- You prompt, then check
- Contact databases
- You work the list
- Your CRM
- You keep it up to date
- Bluelake
- The agents do the work, Billy orchestrates them
The harness
- Your AI
- It writes what you ask for
- Contact databases
- Contacts with no duplicate check
- Your CRM
- What your team puts in
- Bluelake
- CRM checked and updated only with your approval; nothing is sent without it
The difference, in one line
An agent is only as good as its data. Others give you the web, names or your own history. Bluelake agents read the market map and your tools, and Billy orchestrates them. Whether you are opening new accounts or growing existing ones, it is an ongoing conversation with each of your accounts.
Put your agents to work.
The consulting business is already being rewritten: the agents do the work, your teams decide.