We build Agents. You build the Future.
● B2B offer — Outbound prospectingThe AI agent for outbound prospecting: fill the diary with qualified appointments
Are your salespeople spending more time looking for prospects than selling? Your AI agent identifies your targets, personalises every approach and follows up at the right moment — to fill their diary with qualified appointments, without growing the team. Hosted in France — on local inference or an isolated resource — your prospect lists stay under control. It sends by itself only what you authorise it to send, through a written sending mandate; the rest awaits your salesperson's approval. The salesperson keeps the decision.
Updated on
Fictional simulation — not a client result
Automated email sequence + LinkedIn tasks prepared for manual execution — the information notice and opt-out are built in, for approval.
⛓ Sourced · public sources + your CRM
I pass on the interested replies for qualification and propose appointment slots to you, for your approval.
✎ Action · sequence ready to launch — the salesperson approves
For an organisation established outside the European Union, the law of its own country applies; at its request, we put equivalent safeguards in place (human review before any action, a log of the criteria, information for the people concerned).
A Blue Lemon Agent outbound prospecting agent automates the search, the qualification and the email approach to your B2B prospects, and prepares the LinkedIn tasks your salesperson carries out personally. It personalises every message, follows up at the right moment and records the appointments in your CRM. It runs on local inference or is hosted in France: your prospect lists never pass through a foreign server, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. The result: more qualified appointments for the same sales effort. Live in 1 to 2 weeks, with systematic human oversight. Your teams write to it from Microsoft Teams, Slack or their email, and your customers reach it on WhatsApp Business, your website chat or email — with no account to create and nothing to install. These connections are included in every plan, at no extra cost, within the number of connections set out in your agent's quote.
Reference points describing our offer, not results measured at a client. The scale of the gain is confirmed by a pilot on your own scope.
Indicative estimate, to be confirmed by a pilot on your real files (general terms of sale, article 4).
One agent, two packages
An outbound prospecting agent (automated email, assisted LinkedIn), installed and operated for you. Choose according to how you work.
Setup + controlled subscription
- Installation, configuration and training for your teams
- Operation, human oversight, updates and support
- Hosting in France, a dedicated and isolated resource
All inclusive, no setup fee
- Setup included (installation, configuration, training)
- Operation, human oversight, updates and support
- Hosting in France, managed end to end
On site, you own it
- Hardware installed on your premises (you own it)
- French / European AI models run locally
- Secure remote maintenance (Pro support included)
The uses of AI in your sales prospecting
Each use corresponds to an agent we deploy. All of them work in support: subject to your approval, or under a written sending mandate for what the agent sends by itself.
Building targeted lists
Identifying and enriching prospects by sector, size, role and area, from your criteria.
Personalised messages
Writing tailored messages from the prospect's profile and recent news — never standardised templates.
Automated email sequence & prepared LinkedIn tasks
The email sequence is launched and followed up automatically according to behaviour (opens, clicks, replies), under a written sending mandate: scope, ceiling, duration, maximum number of follow-ups per person, withdrawal with a word. Without a mandate, the sequence waits for your salesperson's approval. On LinkedIn the agent PREPARES: a suggested message and a dated task in the CRM. It does not connect to LinkedIn and performs no visit, invitation or send there — the salesperson checks the recipient, adapts the text and acts personally.
Qualification & appointment booking
Qualify incoming replies, pick out the interested prospects and schedule appointments automatically.
Sales follow-up & CRM
Continuous updating of the CRM (status, notes, next action) and recording of appointments in the diary.
Sales memory
Find an exchange, a sales argument or an account's history in your files instantly.
Support & client relations
Answer prospects' and clients' recurring questions to keep the top of the funnel moving.
Available View the agent page →Need to go further?
These agents handle a different business process, with their own owner and their own price. They are added to this one.
Tender responses
Spot the relevant invitations to tender and prepare the first response documents for your salespeople.
Tender response agent (drafting) from 354 € excl. VAT / month Tenders →Debt recovery
Chase unpaid invoices in multi-channel sequences, on the same engine as outbound prospecting.
Debt collection agent (multichannel sequences) from 307 € excl. VAT / month Debt recovery →In 30 minutes we identify the most relevant agent — without oversizing the project.
See the agent at work
5 everyday situations, taken from those that come up most often. Pick one: the exchange unfolds as it would in your organisation.
A scripted demonstration. These exchanges show how the agent behaves — its sources, its refusals, what it leaves to your teams. Nothing is sent from this page, no model is queried here, and the matters named are fictional. That is precisely what we promise your data. The behaviours shown here — monitoring, automation rules, routing and reminders — are configured with you during deployment, from your tools, your rules and your thresholds. The architecture points named in these exchanges — location, local execution, isolation, encryption, role-based access, logging — are not a guarantee attached to the demonstration: they are those of the architecture set out in your quotation, and verified before commissioning.
The company in this demonstration
Fictional companyCedalis — vendor of a management platform for industrial SMEs
- Sector
- B2B software, sold by subscription
- Headcount
- 34 staff, including 2 salespeople and a CEO who still sells
- Target market
- French industrial SMEs of 20 to 250 staff
- Sales cycle
- 3 months on average, €9,000 a year per account
- Tools in place
- A CRM fed for 3 years, shared mailboxes and calendars, LinkedIn
- Who decides
- The sales director approves campaigns; the two salespeople hold the meetings
- Room for improvement
- 8 qualified meetings a month, and 10 h of prospecting per salesperson per week
Cedalis has grown by word of mouth and wants steady outbound prospecting without hiring. Nobody on the team has time to build lists or follow up. The agent is connected to the CRM, the mailboxes and the calendars; it works continuously, but every new rule goes through the sales director.
This company, its figures and the exchanges that follow were invented for the demonstration. They illustrate a common situation; they describe no real client.
Fictional simulation — not a client result
What your signed clients have in common:
· Software vendors and digital-services firms, 20 to 80 staff. Above 250, zero signings in three years — 34 attempts, all lost at procurement stage.
· A dated fact less than 90 days old at first contact: a funding round, a new office, or an announced sales hire. Present in 31 of the 42 signed, in 68 of the 380 lost.
· The contact was the sales lead, not the CEO. CEO approached first: 96-day cycle. Sales lead: 41 days.
What that gives: when all three line up, you sign 1 in 4. When none do, 1 in 22. Yet 71 % of last quarter's sends went to companies ticking none of them.
My proposal: I make those three criteria your ideal-customer profile, and I only bring you companies that tick at least two. Approve it and I'll build the list. ideal-customer-profile_42-signings.pdf1 in 4 against 1 in 22
⛓ Sourced · CRM (3 years), 42 won deals, 380 lost, cycle lengths
Where I look: company press rooms and releases, their own “We're hiring” pages, public funding announcements, company registers for headcount and locations. Every fact is stored with its page and the date I consulted it — that is what will let me tell the prospect where I got it, in the very first message.
What I propose to keep running: every Monday morning, I bring you the companies that entered the profile since the previous week. A fact older than 90 days drops out on its own: a funding round from eight months ago opens no doors.
What I rule out before even showing you the list: your current clients, accounts your salespeople are already negotiating, and anyone on the unsubscribe register. A prospect contacted twice through two channels does more damage than a prospect not contacted at all.
What I need from you: do you approve these three criteria, or would you like me to test a fourth — for instance the use of a competing CRM, which is publicly detectable?
How the score is built: 40 points for the dated fact and how fresh it is, 30 for size and sector match, 30 for an identified sales lead. The score isn't an opinion: every point maps to a verifiable line.
What the list gives: 120 companies above 70, 200 between 40 and 70, 180 below.
What each line carries: the company, headcount, the dated fact and its source, the role targeted, the address and its type — generic or named, the page where I found it and the date. No line without an origin: that is what makes the prospecting defensible, and it is also what makes the message credible.
My recommendation: open on the 120 above 70, and keep the middle 200 as a comparison group. If both bands give the same result, your score is worthless and I rebuild it. The bottom 180 I suggest leaving alone for now.
Next step: I write the sequence. I only send it after you've read it. targeted-list_500-scored-prospects.pdf120 above 70, every line sourced
⛓ Sourced · company websites, press rooms, careers pages, public registers
Fictional simulation — not a client result
The opening: the dated, verifiable fact — “you announced three sales hires on 12 June”. Not “I saw you were growing”.
The body: the problem that profile runs into, written in your own clients' words. I've reread the notes from your 42 won deals: the sentence that comes back 19 times is “we hire salespeople who spend their first month hunting for contacts”. That's the one I use.
The proof: one of your clients of comparable size and sector, named only if you authorise it, with a figure you gave me.
The ask: twenty minutes, two specific slots. An open question makes people think; two slots make them reply.
And two lines that never drop: where I got the address — the page and the date — and the unsubscribe link, honoured within the second. They aren't legal decoration: a message that says where it comes from gets more replies than one that dodges the question. personalised-message_before-after.pdfSame prospect: template against sourced message
⛓ Sourced · won-deal notes, product sheets, dated facts from the list
After five days:
· Subject A — “Your three sales hires”: 41 % opens, 9 replies, 5 positive.
· Subject B — “How an agency doubled its meetings”: 25 % opens, 4 replies, 1 positive.
What I conclude, and the caution that goes with it: the gap on opens is clear, but 9 replies against 4 is still a thin margin. I propose rerunning the same test on the next 120 before turning it into a rule. Two consistent tests beat one spectacular one.
What I read behind the figure: the winning subject talks about the prospect; the losing one talks about you. That's a hypothesis, not a law — and the next test checks it.
The test I propose next: the closing ask. Two fixed slots against an open question. It's the second biggest lever after the subject line, and nobody ever tests it. ab-test_subject-a-against-subject-b.pdf41 % against 25 %, and what remains to confirm
⛓ Sourced · send log, opens, clicks and replies for both variants
The rules I propose:
· Opened twice, no click → the topic lands, the ask blocked. LinkedIn task on day 3, a short message suggested, different angle — to be sent by the salesperson.
· Clicked, no reply → day 2, the comparable client story, without asking again for a meeting.
· Never opened → day 5, different subject line, different send time. Two times out of three it was the hour, not the message.
· Replied, whatever they said → I stop the whole sequence within the second. It's one of only two things I do without asking you.
The LinkedIn channel, in assisted mode: I do not connect to LinkedIn and I do nothing there. I prepare a dated task in your CRM with the suggested connection note and message; your salesperson checks the recipient, adapts the text and acts personally in the interface. I respect the platform's own quotas — breaching them gets your salesperson's account closed, not mine.
And a cap I recommend: three messages per person, across all channels. The fourth is no longer addressed to someone who missed the first three.
Approve the rules and I apply them tonight — you can change one without touching the others. follow-up-rules_by-behaviour.pdfFour rules, three messages per person maximum
⛓ Sourced · open and click behaviour, history of the 42 won deals
Fictional simulation — not a client result
· 7 interested. 4 took one of the two slots offered — it's in your salespeople's calendars, with the dated fact and the exchange history attached to the invitation. 3 asked for other dates: I offered them three, awaiting an answer.
· 2 questions before going further. I answered both and I'll show you how.
· 2 refusals. Sequences stopped, reason recorded in the CRM — “not the right time, revisit in January” for one. I'll bring it back in January.
The CRM is up to date: status, notes, next action and date, on all eleven. Your salespeople have nothing to re-enter — that's the first place a team loses the benefit of a good campaign. meetings-booked_and-crm-updated.pdf4 booked, 3 pending, 11 CRM records updated
⛓ Sourced · inbox, shared calendar, CRM
The pricing question: “how much does it cost?”. I gave the public price grid and the scope of each tier. What I did not do: negotiate. A discount isn't information, it's a commercial decision — I offered the meeting to discuss it, and it's booked.
The technical question: “are you compatible with our CRM?”. Answer taken from your integration documentation, with the connector name and the connection lead time. I added the one caveat the docs contain — custom fields are handled during scoping.
Where I stop: when the answer isn't in your documents, I don't invent it. I write the draft, pass it to the salesperson concerned, and tell the prospect the answer is coming the same day. That happened twice last week; both answers went out in under three hours.
What I propose: every question I had to hand over becomes a line in your answer base, if you approve it. The second time, I answer alone.
What I do after the meeting: a written summary in the CRM from the salesperson's notes, a dated next action, and the quote linked to the deal.
Post-quote follow-up, in three steps:
· Day 7 — a follow-up that brings something: a comparable client's story, or the answer to the objection raised in the meeting. Never “just circling back”.
· Day 21 — the direct question: is the project still live, and if not what changed. A clear no is worth more than a sleeping quote.
· Day 35 — I stop and hand over, with the full history. Beyond that it takes a call, not one more e-mail.
Where things stand: 3 quotes live, 1 followed up on day 7 and signed on Tuesday, 1 now at day 21.
My proposal: pick up last year's 14 sleeping quotes. They're cold, but they've seen your offer and spoken to your salespeople. On comparable segments, that group replies better than fresh contacts. Say the word and I'll prepare the sequence for you to read. post-quote-follow-up_three-steps.pdf14 sleeping quotes identified, 1 signed on day 7
⛓ Sourced · CRM, quotes issued, meeting notes
Fictional simulation — not a client result
What moved:
· Prospects contacted per week: 80 → 400.
· Prospecting time per salesperson: 10 h → 3 h a week. The remaining 3 h are yours: reading my sequences and holding the meetings.
· Qualified meetings per month: 8 → 21. 4 quotes, 1 signed so far, the rest live.
The four figures I always report together: 68 positive replies, 41 negative, 2 unsubscribes, 0 complaints across 3,200 messages. None of the four reads without the other three — a campaign with 21 meetings and 30 complaints isn't a success, it's a debt.
Compared with what: with you first — 2.1 % positive replies against 1.4 % last quarter, and a cycle down from 96 to 47 days thanks to the change of contact. With the sector next, as an indication: in targeted B2B prospecting, 5 to 10 % replies of all kinds and 1 to 3 % positive are commonly observed. You're at the top of that range, and the profile work accounts for much of it. dashboard_two-months.pdf21 meetings a month, four figures side by side
⛓ Sourced · send log, replies, calendar, CRM, previous quarter
1. Drop the 180 prospects below 40 and reinvest elsewhere. 180 contacted, 0 meetings. The send capacity they consume is worth about 40 companies in the “recent funding” segment, which converts at 1 in 4. It's the only one of my three suggestions that pays without costing anything.
2. Move the send time to 07:45. On messages sent before 8 a.m.: +12 points of opens, observed across 640 sends. Solid enough to try, not solid enough to be a law — I propose holding it for a month and measuring.
3. Prepare LinkedIn tasks for the 60 who never open anything. They aren't uninterested: their address is probably being filtered. The channel changes everything, and your caps still apply.
And one thing I advise against: raising the volume. At 400 a week you already get 5 to 8 replies a day; at 800, your two salespeople will answer in 48 hours instead of 3. A reply handled two days late is a reply lost — the limiting factor is no longer me, it's available human time. The day you hire, tell me and I raise the pace.
· Apply an unsubscribe, within the second, on that address and on any other address of the same person in your lists. And the reverse holds too: if that person fills in your form again, I put them back on the list automatically, with the date and the page that prove it. An unsubscribe isn't a door closed for life.
· Stop a sequence as soon as someone replies, whatever they say.
Everything else waits for your word: a follow-up rule, a new segment, a change of subject line, a higher pace. I act continuously, but inside the frame you set — and I tell you when that frame deserves revisiting.
What holds it all together: your data and I are hosted in France, with the deployment objective of processing and access operated within the European Union and an architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. Prospecting rests on legitimate interest — your recipients are professionals approached about their work —, every message says where the address came from, and unsubscribing takes one click. That's what explains 2 unsubscribes and 0 complaints across 3,200 messages.
And you keep control wherever you are: a private web dashboard, plus supervision from your phone — approve a sequence or cut a campaign in one message, with nothing to install. prospecting-frame_what-is-automatic.pdfTwo automatic gestures, everything else approved
⛓ Sourced · unsubscribe register, decision log, campaign settings
Fictional simulation — not a client result
What they say, give or take a few words: “not right now, get back to me later”. That is neither interest nor a request to stop. My rule applies an unsubscribe on the spot when someone asks to stop, and follows up when someone shows interest — these 61 replies fall under neither.
This kind of case had not yet been taken into account in your qualification rules: they class a reply as interested, declined or unsubscribed, and nothing says what to do with a sentence that postpones without saying when. So I have not settled it on my own — and no sequence has resumed on those 61.
Three ways forward. Treat them as unsubscribes: it is the most cautious, at the cost of 34 people who asked to be called back and never will be — and your 42 signatures show that 27 replied from the second message onwards. Treat them as postponements and follow up in three months: the call-back exists, at the cost of a message going back to someone who may have wanted us to stop, and of a complaint your two clean months have not seen. Suspend the sequence on the spot, send no follow-up, and ask one question: “I am pausing — tell me whether I come back in three months or take you off the list”: nobody receives an unwanted message, and the 34 call-backs are not lost.
I recommend the third. Your central rule wants every new rule approved by the user — here it is the person themselves who gives it, in one sentence, and the unsubscribe applies with no delay if that is what they ask.
You can also give me another rule of your own — for instance: suspend without asking anything, and hand these 61 lines to a salesperson for a phone call, with no written message.
Shall I remember it for the next ones? Of the quarter's 412 replies, 61 are of this kind, 34 of them explicitly asking for a call-back without giving a date. If you approve the rule, I will handle the next ones that way instead of sending them up one by one, and I will give you the count each month.
⛓ Source · 412 replies this quarter, 61 of an ambiguous kind, 34 asking for a call-back with no date
The rule, in one sentence: a reply that postpones without saying when suspends the sequence on the spot; one message goes out, of two lines, with two answers in one click — “come back in three months” or “take me off the list”; removal applies with no delay, on that address and on the person's other addresses.
Why your condition matters more than it looks: an open question asks for effort from someone who has just said they have no time. Two buttons get an answer from people who would have written nothing — and an answer, however short, is what replaces an assumption with a rule.
What it changes on the 61: all 61 sequences are suspended, the two-line message has gone out, and no other message will go out before a reply or your instruction. 27 replies in four days: 19 “come back in three months” with the date set, 8 removals applied on the spot.
What lets you undo it: the rule is written into your qualification rules under its own name, with its date, the person who approved it and the replies that gave rise to it. You remove it with one word, and these replies come back to me one by one.
✎ Rule approved · qualification rules, entry “postponement with no date”, approved on 12/05
What the rule produced: the 19 people who had asked for a call-back in three months were contacted on the date they set. 11 replied, 5 booked a meeting, 2 asked to be removed at that point — applied on the spot. The 8 removals from the first round have had no message since.
What it is worth, against the other route: treated as unsubscribes, those 19 people would have had no call-back and the 5 meetings would not exist. Of your 21 monthly meetings this quarter, 5 therefore come from a reply the earlier rule would have classed as declined.
What I note, and it is for you to decide: 14 of the 19 postponements asked for three months, and 12 of those 14 answered the call-back. The 5 who asked for six months answered none. Setting the call-back at three months by default, when the person gives no date, is settled in your sequence rules — and the calculation comes from these 19 call-backs, not from a best practice.
What has not changed: an unsubscribe applies on the spot across all of a person's addresses, and no message goes out from a suspended sequence.
⛓ Source · three months after the rule · 19 call-backs kept, 11 replies, 5 meetings, 2 removals applied, 0 complaints
Your case is not here? That is exactly what a 30-minute conversation is for. Discuss your project →
The stages of your AI agent project
Audit & scoping
30 minutes to target the use case with the best return.
Quote or direct sign-up
A catalogue offer is bought online; a specific need gets a costed quote.
Design
We design the agent and its guardrails.
Integration & testing
We connect your tools to the agent, which is itself hosted in France.
Rollout
Going live and training your team.
Operation
Continuous supervision and improvement.
Why AI prospecting matters to B2B teams — and why they hesitate
Growth depends on a steady flow of qualified contacts. But your salespeople lose precious time on searching and following up — and American prospecting tools route your prospect lists through foreign servers.
! The issue
Your salespeople are caught between an appointment target that never comes down and repetitive tasks — finding targets, writing, following up — that eat into their selling time. Yet most sales automation tools amount to entrusting your prospect lists, your messages and your contact data to a third party, often hosted outside Europe and subject to the Cloud Act.
✓ Our answer
AI prospecting is only of interest if it is sovereign, compliant and responsible by design. Local inference or an isolated resource hosted in France, legitimate interest as the lawful basis, one-click opt-out, sending only under a written mandate, human oversight: time gained at the top of the funnel is never paid for in lost confidentiality. The aim is not to replace the salesperson, but to give them back time to sell.
Your prospect lists: sovereignty & GDPR compliance
B2B prospecting processes personal data. Here is how the architecture of our agents protects it — and how the agent prospects responsibly.
Local inference
With the 100% Sovereign package, the agent runs on a machine belonging to the company: no prospect list leaves the network, nothing passes through a cloud.
Hosting in France
Otherwise, with the Agility and Serenity packages, a dedicated, isolated resource hosted in France, under French law: data hosted in France; the AI model is called at its publisher, except with the Sovereign model option.
Reduced extraterritorial exposure
Architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
GDPR-responsible prospecting
To a business address: legitimate interest as the lawful basis, an information notice and one-click unsubscribe (opt-out), in line with the French data protection authority's guidance. To a natural person, the agent applies prior agreement.
Encryption & controlled access
Encryption in transit and at rest, role-based access (RBAC), strong authentication and logging.
AI Act: governed deployment
The agent books appointments within the rules you have approved and sends by itself only under a written sending mandate (scope, ceiling, duration), logged and withdrawn with a word; outside the mandate, it submits a draft; any new rule goes through you, every action is logged, and the appointment itself is still held by your salespeople.
What depends on the architecture chosen These points are not general guarantees: they are settled deployment by deployment, in the quotation.
- The applicable location is that of the architecture set out in the quotation and verified before commissioning.
- Local execution is announced only for the configuration explicitly described and accepted in the quotation.
- The applicable isolation depends on the deployment mode set out in the quotation; no dedicated isolation is presumed.
- The encryption mechanisms in transit and at rest, their components and key management are those documented for the architecture chosen.
- Roles and permissions are configured and accepted for the identities and systems actually connected.
- The events logged, their content, their retention period and who may access them are defined for the deployment chosen.
How much time can a sales team recover?
By automating the search, the writing and the follow-ups, a team can aim to take over a large share of the prospecting load — reinvested in detailed qualification and in closing.
Four guarantees that matter to a sales team
Related resources
Your questions, our answers
Does the agent connect to LinkedIn?
Does the agent send the emails by itself?
How does the GDPR apply to AI sales prospecting?
Does the agent replace my salespeople?
On which channels does the agent prospect?
How long before the agent is operational?
Are my prospect lists protected?
What saving of time can I expect?
Who may be prospected, and through which channel?
Which tools can people use to talk to the agent?
Can the agent notify my contacts by text message?
Let us estimate the potential in your organisation
30 minutes to identify the most profitable prospecting segment — hosted in France, supervised, with no commitment.