Seven places where AI makes a difference first.

The problem

Prospect lists are bought, out of date, or built by hand one profile at a time. Salespeople spend their time searching instead of selling.

What we put in place

• Targeting criteria defined with your sales team, for a broad market or a short list of key accounts
• Automatic sourcing from public data, company registers and professional networks, within GDPR
• Verified emails and phone numbers
• A database where each lead comes with its context: why them, why now

What changes

• A prospect list you can trust, refreshed continuously
• Every first conversation starts with context
• Ready to feed automated follow-ups

The problem

Most deals are lost to silence, not to a no. Follow-ups depend on each salesperson's memory and stop as soon as the week gets busy.

What we put in place

• Agents that draft personalized follow-ups by email or LinkedIn, based on the history of each exchange
• Sequences adapted to each stage: first contact, quote sent, meeting to confirm
• A person validates before anything is sent, for every message or only for sensitive accounts
• Replies sorted and routed to the right person

What changes

• No prospect left without an answer
• Salespeople focus on the conversations that move
• A pipeline that reflects reality

The problem

Late payments weigh on cash, and chasing them is a task nobody likes. Reminders go out late, in the wrong tone, or not at all.

What we put in place

• A connection to your invoicing or accounting tool
• Reminders whose tone adapts to the customer, the amount and the delay
• Escalation to a person as soon as a dispute or an unusual case appears
• Payment promises and their due dates tracked

What changes

• Shorter payment delays
• Hours freed up in finance and admin
• A clear view of what is owed, by whom and since when

The problem

Leaders spend a large part of their week sorting emails, preparing meetings and chasing information spread across tools.

What we put in place

• Email triage with suggested replies
• Meeting briefs prepared from your emails, documents and CRM
• Notes, decisions and next steps captured after each meeting
• Reminders on the commitments made

What changes

• Time back for decisions and for people
• Fewer things forgotten between two meetings
• An assistant that works inside your tools and your rules

The problem

Critical know-how lives in a few heads and scattered files. When someone leaves or is away, it goes with them, and newcomers take months to get up to speed.

What we put in place

• Your documents, procedures and expertise gathered, including interviews with experienced staff
• An assistant that answers from your own sources, and cites them
• Access rights that follow your existing permissions
• A routine to keep the base up to date

What changes

• Answers in seconds instead of asking around
• Faster onboarding
• Know-how that stays when people leave

The problem

The figures exist, but they are spread across accounting, the CRM, spreadsheets and operational tools. The monthly report takes days to build, and it is out of date when it arrives.

What we put in place

• Your data sources connected into one view
• The indicators that matter for your decisions: cash, margin, pipeline, activity
• Automatic refresh, with commentary written in plain language
• Alerts when an indicator drifts

What changes

• Decisions made on current figures
• Days of reporting saved every month
• One shared version of the numbers

The problem

As agents and automations multiply, nobody can say exactly what was done, with which data, on whose authority. Customers and regulators are starting to ask.

What we put in place

• Every action taken by your agents and automations logged
• A clear record of who authorized what, and which data was used
• Rules on what an agent may and may not do
• Reports ready for an audit, a customer questionnaire or the AI Act

What changes

• You can explain what your AI does
• Incidents spotted and understood quickly
• Trust becomes an argument in your sales