Engagement and conversion

Engagement and conversion — reach, qualify, convert on preferred channels.

The most populated catalog use case: WhatsApp, automated Meta, LinkedIn outreach, e-commerce chatbot, AI customer advisor, supervised qualification. Solutions delivered at agencies, telecom, e-commerce. Multi-channel, multi-language, selective human supervision.

Delivered Engagement products

Several solutions already run in production. Others are ready for first sector deployment.

Delivered

WhatsApp — Chatbot and campaigns

Direct, automated engagement on the most open channel in the world.

Goal

Answer customer messages arriving on WhatsApp 24/7, at scale.

How ·Chatbot connected to your catalog + case qualification + escalation to a human on 15-20% of messages.

Complete platform for deploying WhatsApp campaigns and interactive chatbots. The solution orchestrates personalized message sending at scale, ensures real-time performance tracking, and logs all interactions for full traceability. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Key features

Personalized campaign sending from a contact base
24/7 conversational chatbot with scenario management
Real-time tracking: deliverability, open rates, replies, conversions
Complete logging of interactions and result export
Compliance with WhatsApp Business quotas and terms of use

Technologies

WhatsApp Business API, cloud orchestration, tracking database.

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Internal test

Facebook and Instagram — Social automation

Automated publishing, moderation, and replies on the Meta ecosystem.

Goal

Maintain an active presence on Facebook and Instagram without mobilizing a full-time team.

How ·Scheduled publishing + automatic DM/comment replies + real-time moderation.

Complete automation of your Facebook and Instagram presence: scheduled content publishing, automatic replies to private messages and comments, smart moderation. Your channels stay active and responsive 24/7 without continuous team mobilization.

Key features

Planning and automatic publishing of posts, stories, and carousels
Smart auto-reply to private messages and comments
Multi-account and multi-page management from a single point
Performance dashboard
Configurable moderation rules

Technologies

Meta Graph API, no-code orchestration, scheduling CMS.

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Delivered

LinkedIn — Multi-format publishing

Regular and structured presence on the leading professional network.

Goal

Maintain a consistent editorial cadence on LinkedIn for your professional accounts.

How ·Automated all-format publishing (text, carousel, video) + timing optimization + managed editorial queue.

Automated planning and publishing of your LinkedIn content across all formats. The solution optimizes publishing times, manages the editorial queue, and ensures consistent presence.

Key features

Publishing of text, image, carousel, and video content
Editorial queue with shared calendar
Automatic optimization of publishing times
Multi-profile management (company + executives)
Engagement indicator tracking

Technologies

LinkedIn API, cloud orchestration, multimedia content management.

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In progress / available

E-commerce conversational chatbot — Conversion and support

Real-time assistance on your store: pre-sale, checkout, post-sale.

Goal

Convert your shop visitors into customers through an agent that guides them in real time.

How ·Chatbot connected to catalog + CRM + AI recommendations + selective human escalation on pre-sales and after-sales.

Conversational chatbot integrated into the e-commerce site, connected to product catalog, CRM, and recommendation engines. Covers pre-sale, checkout, and post-sale. Reduces abandonment rate and increases average basket. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Key features

Multi-turn contextual conversation with session memory
Product catalog connection (PIM, sheets, real-time stocks and prices)
Personalized product recommendation per profile and history
Human escalation on complex cases (smooth handover)
Multi-language, multi-channel (web, mobile, WhatsApp, Messenger)

Technologies

Conversell, LLM (Claude, GPT), MCP, CRM, PIM, OMS API integrations.

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In progress / available

AI Customer Advisor and complaint management

Qualify your prospects, resolve complaints, measure AI ROI in customer relations.

Goal

Qualify prospects and resolve complaints without saturating your customer service.

How ·Customer-relation specialized AI agent + CRM integration + satisfaction analysis + selective human escalation.

AI customer advisor agent able to qualify a prospect across multiple axes (situation, objective, level, deadline, budget), recommend adapted or alternative solutions, handle common complaints with human escalation. Website and WhatsApp integration. Executive AI performance dashboard.

Key features

Multi-axis qualification configurable per business
Recommendation of solutions and alternatives per profile
Common complaint handling with human escalation
Indexed and governed proprietary knowledge base
Executive ROI dashboard: 5 KPIs

Technologies

LLM (Claude, GPT), MCP, vector database, WhatsApp Business API, CRM integrations, analytics dashboard.

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In progress / available

Hospitality reception chatbot — Internal assistant and upselling

Internal tool for reception staff: find customer info in two seconds, suggest the relevant action or upsell.

Goal

Give hotel front desk teams customer info in two seconds plus a recommended action.

How ·Internal AI assistant + instant customer lookup + upsell suggestions + multilingual.

Conversational chatbot for hotel reception staff (internal use, not end customer). Connected to PMS, CRM, and the establishment's knowledge base. The receptionist queries in natural language: customer profile and history, preferences, past stays, upsell opportunities, response scripts for common situations. Accelerates new receptionist onboarding and homogenizes service quality across teams. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Key features

Natural language querying of customer data (profile, history, preferences)
Contextual action suggestions (upper room available, restaurant to propose, additional services)
Smart upsell based on profile and availability (upgrade, late checkout, spa, restaurant)
Internal knowledge base (procedures, response scripts, hotel FAQ)
Accelerated onboarding of new receptionists (a few days instead of several weeks)

Technologies

LLM (Claude, GPT), RAG on hotel knowledge base, PMS integration (Opera, Mews, Cloudbeds, etc.), CRM, web or mobile app deployment.

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In progress / available

Customer relations RAG chatbot — Banking and insurance

Sourced answers to client questions on their contracts, guarantees, procedures — no hallucination, with smooth human escalation.

Goal

Answer banking/insurance customer questions with citation of source contracts and without hallucination.

How ·B&I specialized RAG chatbot + contract indexing + journaling + advisor escalation.

Conversational chatbot for banking and insurance customer relations, powered by a RAG on product documentation, terms and conditions, procedures. The customer queries in natural language their contracts, guarantees, ongoing steps. The chatbot responds with sourced citations and escalates to a human advisor for out-of-scope or sensitive cases. Doubled with an internal variant for support functions: HR, legal, compliance, advisor training. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Key features

RAG on product documentation, terms and conditions, procedures, internal case law
Sourced responses with verifiable citations (no hallucination)
Smooth human escalation on sensitive or out-of-scope cases
External variant (customer relations) and internal variant (support, HR, legal)
Native banking/insurance compliance (professional secrecy, GDPR, AML)

Technologies

LLM (Claude, GPT, Mistral), pgvector, custom indexing, role-based access control, client portal and WhatsApp Business API integration.

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Concrete use cases

Three concrete cases, three contexts.

Anonymized per client preferences. Ask for access to detailed files under NDA.

Telecom operator — France

HITL supervised NLP qualification platform

Industrial human loop on NLP outputs. Prioritized case queue, confidence scoring, human-AI metrics, continuous learning. Clear UX for live and post-processing views, customer service split into eight sub-types.

In production

Nearshore IT services — internal

Automated LinkedIn outreach campaign for 250 leads

Google Sheets base, personalized messages with dynamic variables, scheduling respecting LinkedIn quotas, automated tracking. Expertise note delivered alongside.

In production

E-commerce — group product

AI recommendations deployed multi-client

Personalized product recommendations, email automations (abandoned carts, cross-selling). Measured: email open rate 35%, click rate 40%, +25% revenue via targeted recommendations.

In multi-client production

Who it is for

Three profiles, one common need: take AI to production.

Sales and marketing leaders

You want to automate top of funnel (LinkedIn outreach, qualification, scoring) without dehumanizing. Human quality control stays on critical cases.

Customer support and operations

You manage heterogeneous request volumes. The AI customer advisor or HITL platform absorbs standard cases and escalates what deserves a human — without drowning your teams.

E-commerce and retail

You want to increase conversion and basket size without changing stack. The conversational chatbot integrates with your existing product catalog, CRM, and recommendation engines.

How it starts

Four steps from scoping to production.

Applied ATLAS-Agentic methodology: seven full steps documented on the dedicated page.

Free initial scoping

30-minute to 2-hour workshop to understand your challenges, identify the priority use case, and define success indicators. No commitment at this stage.

Design and architecture

Technical choices, vendor-neutral per step, integration into your existing ecosystem. Documented decisions.

Industrialized pilot

Real solution running on limited scope, with full logging and operational dashboards.

Run and iterations

Continuous supervision, tuning, progressive expansion. You keep control, we keep the solution stable.

See the ATLAS-Agentic methodology

Frequently asked questions

What leaders ask.

WhatsApp Business: compliance and cost?+

Meta Business Policy compliance: explicit opt-in, opt-out management, pre-approved templates for notifications. Meta cost model: per-conversation pricing by category (marketing, utility, authentication). Transparent pricing, parameterable caps.

Which LinkedIn platforms are supported and what limits?+

Compatible with LinkedIn Sales Navigator and standard profiles. Strict respect of LinkedIn quotas (connections, messages per day, scrolling delays). On 250 targeted leads, typical response rate 8 to 15% depending on base quality and personalization.

Does the e-commerce chatbot replace human customer service?+

No. It absorbs repetitive questions (order status, returns, product FAQ) and smoothly escalates to a human on complex cases. The human team handles higher-value cases, the bot handles volume.

How is ROI measured?+

E-commerce case: +25% revenue via AI recommendations, email open rate 35%, click rate 40%, these figures come from a multi-client deployment. Telecom HITL case: progressive improvement of NLP confirmation rate V3 60% → V4 in iteration. ROI is measured on the chain, not the LLM alone.

Do you have an Engagement or Conversion goal to industrialize?

Free initial scoping, 30 minutes to 2 hours, with a solution lead adapted to your sector.

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