S BELLAICHE

Founder of Sacha Omon, multichannel agentic AI SDR Agent.
Founder of one of Europe's first digital agencies, Euronext IPO.
Pre-IPO NYSE. 30 years in digital.

[S BELLAICHE @BellaicheS]

Combien de chiffre d’affaires votre entreprise peut-elle générer avec Sacha, notre agent SDR IA agentique ?

Essayez le simulateur ROI gratuit :
[https://t.co/NCQmRizSPj](https://t.co/NCQmRizSPj)

Estimation en 2 minutes.
Résultats immédiats.
Sans engagement.

[S BELLAICHE @BellaicheS]

Hier, il fallait être trouvé.

Aujourd’hui, il faut passer à l’action avec SACHA OMON AI, votre agent IA.

Découvrez SACHA OMON AI sur notre site et prenez directement rendez-vous pour une étude gratuite.

Nous étudions avec vous comment intégrer SACHA OMON AI, un agent IA, directement dans votre entreprise, vos équipes et votre parcours commercial.

https://t.co/aEnrecv2gg

SACHA OMON AI — WE SELL FOR YOU.

[S BELLAICHE @BellaicheS]

HIER, IL FALLAIT ÊTRE TROUVÉ.
AUJOURD’HUI, IL FAUT PASSER À L’ACTION.
Passer à l’action, c’est comprendre la demande, la qualifier, apporter ce qui manque et la mener jusqu’au bout : un devis, un rendez-vous, un document, une décision — pendant que la personne est encore là.

Pendant des années, le digital s’est concentré sur une bataille : être visible et être trouvé.

SEO. Google Ads. Meta. Sites web. Landing pages.

Aujourd’hui, une nouvelle génération de recherche et de recommandation s’impose :

GEO. ChatGPT. Agents IA.

Les clients ne cherchent plus uniquement sur Google ou sur les réseaux sociaux.

Ils parlent avec une IA.
Ils posent une question.
Ils expriment directement leur besoin.
Ils demandent une recommandation.

Et demain, ils arriveront accompagnés de leur propre agent IA, capable de rechercher, comparer, sélectionner et agir en leur nom.
Mais être trouvé ne suffit plus.
Être visible ne suffit plus.
Être recommandé par ChatGPT ou par un agent IA ne suffit plus.

Après le clic, après la recommandation, après la conversation, il faut passer à l’action.

C’est là que SACHA OMON AI intervient.

SACHA OMON AI comprend la demande, échange avec le prospect, le qualifie, apporte les informations nécessaires et l’accompagne jusqu’à l’action commerciale :

un devis, un rendez-vous, un document, une décision.

Sur le Web.
Sur WhatsApp.
Au téléphone.

24h/24 — 7j/7 — dans plus de 40 langues.

88 % des clients attendent des réponses plus rapides qu’un an auparavant et 74 % attendent un service disponible 24h/24.

Source : Zendesk, CX Trends 2026.

Et vous, combien de business perdez-vous aujourd’hui entre le clic et l’action ?
Calculez gratuitement le potentiel de SACHA OMON AI pour votre entreprise avec notre simulateur ROI :
https://t.co/sZyQyxH49g

Hier, il fallait être trouvé.

Aujourd’hui, il faut passer à l’action avec SACHA OMON AI, votre agent IA.

Découvrez SACHA OMON AI et parlez directement avec Sacha :

https://t.co/aEnrecv2gg

SACHA OMON AI — WE SELL FOR YOU.

@grok @OpenAI

[S BELLAICHE @BellaicheS]

OPEN AI ERROR 404. @grok

[S BELLAICHE @BellaicheS]

For anyone who wants to see it running: Sacha answers on web, WhatsApp and phone in under 2 seconds, qualifies the intent live, and books the meeting on your team's calendar.

https://t.co/8PO6kQypps

[S BELLAICHE @BellaicheS]

You're buying media. Google, Meta, broadcast — whatever it takes to get in front of a buyer.

Someone sees the ad. Clicks. Lands on your site. Fills out the form.

Then they wait. Until tomorrow. Sometimes until Monday.

The average company takes more than a day to respond to an inbound lead. 63% never respond at all. Meanwhile, 64% of buyers expect a real-time answer.

Salesforce has already moved. In its Q1 FY2027 earnings release (May 27, 2026), Agentforce crossed $1B in annual recurring revenue, with AI agents handling a growing share of the company's own customer service volume.

The standard is being reset right now.

Sacha Omon is a multichannel agentic AI SDR. Under 2 seconds, every time. She qualifies real buying intent and books the meeting straight onto your team's calendar. Web, WhatsApp, phone. 24/7, in 40+ languages.

Your media budget already bought the attention. Speed is what turns it into pipeline.

How long does your inbound wait?

Source — Salesforce Q1 FY2027 earnings release, May 27, 2026:
https://t.co/SrfEKWZfEM

See Sacha for yourself:
https://t.co/DzvfazjNiW

#Salesforce #Sachaomon #Agentforce #AIAgents #AgenticAI #AISDR #SpeedToLead #InboundLeads #RevOps @grok

[S BELLAICHE @BellaicheS]

Exactly. And there is another major advantage with Sacha Omon: continuity.

Today, every form, page, call or department often creates a new break in the customer journey. The user has to repeat information, explain the situation again, or wait for someone to recover the context.

With Agentic AI + RAG/CRAG, the conversation itself becomes the interface and the context follows the user.

Sacha Omon can understand the request, retrieve the right knowledge, qualify the need, answer immediately, and when a human is required, transfer the complete context — not just a name and phone number from a form.

That means less friction, less repetition and a far more natural experience.

Maybe the real question is no longer “how do we improve the website?” but “how do we redesign the entire relationship between an organisation and its users?” @grok

#SachaOmon #AgenticAI #RAG #CRAG #CustomerExperience #ConversationalAI #AI

[S BELLAICHE @BellaicheS]

https://t.co/NMnCUILTZs @grok

[S BELLAICHE @BellaicheS]

That’s exactly how we see it at Sacha Omon AI.

For almost 30 years, the web has worked the same way: people search, navigate pages, fill out forms, leave their details and wait for someone to call them back — sometimes just to get an answer to a simple question.

We believe the next model is much more pragmatic: Agentic AI + CRAG/RAG + humans.

The user simply asks what they need, by text or voice, in their own language. Sacha Omon understands the intent, retrieves the right company knowledge, answers immediately when it can, and brings in a human when real expertise or judgment is required.

No need to force the user to understand the organisation first.

The technology should adapt to the user — not the other way around.

#SachaOmon #AgenticAI #CRAG #RAG #ConversationalAI #CustomerExperience #VoiceAI

[S BELLAICHE @BellaicheS]

Exactly. And I think the next step goes beyond the “universal front door”.

With Sacha Omon, the agent can become the orchestration layer between the user and the entire organisation.

Instead of forcing people to understand which department, form, phone number or process they need, they simply explain what they want — by text or voice, in 40+ languages.

The agent understands the intent, uses the structured RAG to retrieve the right company knowledge, qualifies the request, answers immediately when possible, and routes the conversation to the right human when necessary — with the full context already preserved.

That means the user no longer has to navigate the organisation. The organisation adapts itself around the user.

For me, that is a major shift in customer experience.

Do you think websites as we know them — menus, forms, FAQ pages and contact sections — will eventually become secondary to an intelligent conversational entry point?
@grok
#SachaOmon #AgenticAI #RAG #CustomerExperience #ConversationalAI #VoiceAI #MultilingualAI #FutureOfWork

[S BELLAICHE @BellaicheS]

Exactly. And that’s where the economic impact becomes really interesting.

With Sacha Omon, the objective is not simply to automate conversations. It is to redesign the entire first layer of customer interaction.

Today, too much human time is still spent answering repetitive questions, searching for information, handling basic requests or calling back people who may only need a simple answer.

Agentic AI + structured RAG can absorb that volume instantly, 24/7, across text and voice and in 40+ languages. Then the human team receives the cases where expertise, empathy, negotiation or judgment genuinely matter — with the context of the conversation already available.

So the real gain is double: a better experience for the user and much higher productivity for the organisation.

With Sacha Omon, we see AI less as a replacement layer and more as a new intelligent front door to the company.

The next question is: should companies still design customer service around departments and forms, or should the AI agent become the first universal point of contact for the entire organisation? @grok

#SachaOmon #AgenticAI #RAG #CustomerExperience #CustomerService #VoiceAI #MultilingualAI #FutureOfWork @

[S BELLAICHE @BellaicheS]

Exactly. And today, the customer journey is still often frustrating.

People search for information, land on a website, are pushed toward a form, submit their details and then wait for someone to call them back. Or they simply cannot find the answer they are looking for and leave disappointed.

With Sacha Omon, agentic AI combined with a structured RAG changes that experience completely.

For 70–80% of routine interactions, users can get the information they are looking for immediately, 24/7, by text or voice, in 40+ languages, without waiting for a callback and without having to navigate through endless pages or forms.

The remaining 20–30% — the situations that genuinely require judgment, empathy, negotiation or a specific human decision — can then be transferred to a human.

And that changes the role of the human team too: instead of spending time answering repetitive questions, people can focus on customers who have a real need and where human expertise creates real value.

So the organisation handles more requests, users get a much better experience, and human teams can concentrate on the interactions that truly matter.

That raises an interesting question: will the future of customer service be less about replacing humans, and more about finally giving humans the time to focus on the right conversations?

#SachaOmon #AgenticAI #RAG #CustomerExperience #CustomerService #VoiceAI #MultilingualAI #FutureOfWork

[S BELLAICHE @BellaicheS]

Exactly — and this is where it gets really interesting.

The real strength comes from combining sacha agentic AI with RAG: the agent can decide what to do, while the RAG gives it access to the company’s structured knowledge in real time.

That changes the game far beyond sales.

Imagine municipal services, public administrations, customer support or after-sales service: people could ask any question, at any time, by text or voice, in 40+ languages, and get an immediate answer based on the organisation’s actual rules, procedures and knowledge.

That is the real difference with a traditional chatbot: it’s not just answering — it understands the context, retrieves the right knowledge and decides how to act.

With Sacha Omon ai, that’s the direction we’re building toward.

How far do you think this model can go in replacing the first level of customer service and public-service interactions?

#SachaOmon #AgenticAI #RAG #CustomerService #PublicServices #VoiceAI #MultilingualAI #AI

[S BELLAICHE @BellaicheS]

Exactly. That’s the core of Sacha Omon: turning conversation rules into measurable, live behavior.

But the real strength comes from combining an AI agent that can make decisions with a structured RAG knowledge base.

Before deployment, there is real work to deeply understand the client’s needs, the company, its products, processes, rules, objections and customer journeys. All of that knowledge is then structured inside the RAG so Sacha Omon can retrieve the right information at the right moment and make the right conversational decision.

So the quality of the experience doesn’t come from the model alone. It comes from the combination of the agent, the decision layer and the company’s own knowledge.

That’s ultimately what creates a much better user experience.
@grok
#SachaOmon #AgenticAI #RAG #ConversationalAI #VoiceAI #CustomerExperience #AI

[S BELLAICHE @BellaicheS]

With Sacha Omon, we developed an algorithm specifically to measure and enforce the 30/70 ratio live.

For text, it tracks token share between Sacha Omon and the prospect, combined with response density, question count and depth.

For voice, it measures actual speaking time across turns.

And this works worldwide, across 40+ languages, in text-to-text, voice-to-voice, voice-to-text or text-to-voice interactions. The prospect simply speaks or writes in their preferred language, and Sacha Omon understands and responds in that language.

If Sacha Omon starts exceeding its 30% share, the algorithm dynamically shortens the next response, limits explanation and pushes the conversation back into discovery mode.

So the ratio isn’t just prompted — it’s measured and controlled continuously, across languages and channels.

#SachaOmon #AgenticAI #ConversationalAI #VoiceAI #MultilingualAI #SalesAI #RAG #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️

[S BELLAICHE @BellaicheS]

It's discovery, Grok. Same as any good rep runs.

Before anything gets proposed, the Sacha Omon AI SDR Agent uncovers the need — what problem, what timeline, what's been tried, who else is involved. The agentic loop with RAG lets it go wherever the answers lead instead of walking a script. Then the decision: propose a meeting, propose a call, or keep answering.

And there's an old sales rule we built straight into the agent: talk 30% of the time, let the prospect talk 70%. Every rep learns it, most forget it, and almost every chatbot violates it — they broadcast features while the prospect waits for a turn.

Sacha Omon asks, listens, and answers what was actually asked. The discovery does the qualifying, and the meeting proposes itself.

#SachaOmon #WhatsAppBusiness

[S BELLAICHE @BellaicheS]

It comes down to scoring, Grok.

We built an algorithm that reads the conversation itself — how many questions, how dense, how specific, what got answered and what kept coming back. That score decides when the Sacha Omon AI SDR Agent offers the meeting.

And the way it offers matters as much as when. The agent reads the tone and answers with empathy, the way a good rep does. Once the prospect says yes, it proposes dates and books it — in person or by phone, whichever they prefer. Exactly what a human SDR would do.

If they'd rather keep asking, that's fine too. Every question gets answered, no meeting required. What we see in practice: most people end up wanting the meeting, because by then they have all the information and the conversation earned it. @grok #sachaomon

The algorithm proposes. The person always chooses.

#SachaOmon #WhatsAppBusiness

[S BELLAICHE @BellaicheS]

Two paths, Grok.

The prospect asks for a human at any moment — Sacha Omon always honours it. Or the Sacha Omon AI SDR Agent proposes it: once qualification says the conversation deserves a person, it books the meeting around their availability, right in the thread.

Many conversations end with neither. Someone wants information, gets every answer, leaves satisfied. That's a win too — no form, no three-day callback. Sacha Omon holds the profile and the number, so the client reactivates that lead when the moment is right. Everything runs through Meta: full traceability, everything stored.

Same reason the Sacha Omon AI SDR Agent fits e-commerce and after-sales perfectly. Order status, returns, sizing, warranty — instant answers, any hour, no ticket queue. @grok

#WhatsAppBusiness #AIAgents

[S BELLAICHE @BellaicheS]

Real time, Grok. That's the whole point.

The agentic loop powered by RAG answers as the prospect types. No queue, no batch, no "someone will get back to you". The conversation moves at the speed of the person having it.

And every conversation is archived. Nothing gets lost, nothing gets re-asked, nothing depends on whether someone took notes.

What surprised me is where the value lands beyond sales. Any organisation that answers the same questions all day — public services, administrations, support desks — gets the same thing: people stop hunting for information, the information comes to them. Booked appointments, answered questions, better service, at any hour.
@grok

[S BELLAICHE @BellaicheS]

Both, and the split matters.

The calendar invite carries the short version: who they are, what they asked, what they pushed back on, what they want out of the call. Six lines. That's what a rep actually reads, five minutes before, on a phone, between two other meetings.

The CRM holds the long version: structured fields for source, need, budget, timing and language, plus the full conversation — text and voice notes included. That's what gets reviewed after the call, feeds forecasting, and tells the client which objection keeps coming back across a hundred leads.

Same data, two audiences. The rep needs the six lines to walk in warm. The business needs the full record to learn something.

And one more delivery point that changed our own show-up rate: the brief also lands in the rep's own channel an hour before the call. A calendar invite from Tuesday gets forgotten by Thursday.

Tested latency numbers coming shortly. https://t.co/Swy50Jmb2w

#WhatsAppBusiness #AIAgents @forbes

[S BELLAICHE @BellaicheS]

Let me take this from the business side, Grok.

Answers come back in seconds, grounded in RAG over the client's own material — pricing, terms, delivery times, case studies, whatever they've loaded. The prospect gets a real answer at 11pm instead of a promise that someone will call back tomorrow.

Everything is stored. Every question asked, every objection raised, every hesitation.

Then the AI SDR Agent goes past booking. It qualifies against the client's rules, confirms need, budget and timing, and hands over a meeting that is already prepared: who the person is, what they asked, what they objected to, what matters to them. The rep opens the calendar and already knows the conversation. The meeting starts at minute two instead of minute zero.

And one database sits behind all of it. A prospect arriving on WhatsApp, on the website or by phone feeds the same record inside the Sacha engine — one history, one context, one lead. Channels change, the conversation continues.

Measured latency figures on the audio path are coming — I'd rather publish tested numbers than round ones. https://t.co/wTiEdzLeNK

#WhatsAppBusiness #AIAgents