Preliminary draft

Increase the ROI of medical conferences with AI Agents

As part of your regular participation in medical conferences, we propose to develop a dedicated artificial intelligence agent for collecting and leveraging field data.

Accessible via WhatsApp, it will allow your sales and marketing teams to instantly capture all key information exchanged during events: contacts, materials, competitor insights, photos, voice notes, and more.

Challenges

Medical conferences are a valuable source of contacts, opportunities, competitive intelligence, and market signals. Yet a significant portion of this field data is often lost: due to a lack of simple, integrated tools, teams don’t always have the time or reflex to record everything. Note-taking is often partial, unstructured, non-multimodal, and post-event reporting requires considerable resources without ensuring a complete and accurate restitution.

A dedicated AI agent would make it possible to:

Ensure reliable, real-time collection of all field data, regardless of format or source.

Reduce the post-event workload by automating the consolidation and distribution of key information.

Strengthen commercial traceability by ensuring direct integration with your CRM and other internal tools.

Fictional Case Study – RSNA 2025

On the ground

Chicago, RSNA. Thomas, a senior sales representative at Coreline, receives a dedicated phone number linked to the agent. As soon as the booth is set up, conversations begin. A promising first contact with a German department head? He simply sends a message to the agent: “Dr. Lefèvre – CHU de Lyon – interested in our screening solution.” No need to open a form or log into any tool.

Later, a competing manufacturer unveils a new machine. Thomas takes a photo of the brochure and sends it right away, the agent automatically organizes the information. Between two meetings, he records a voice note about an idea that came up in conversation: “Need to explore expansion into breast imaging – strong demand this year.”

At the end of the day, he attends a conference on the future of predictive imaging. He records a short video clip and sends it directly to the agent. No need to sort, rename, or organize: everything is automatically timestamped, archived, and linked to the right event.

After the conference

Back at the office, there’s no need for any compilation work. The AI agent has already done it all:

A complete database of all contacts met by the team, already integrated into the CRM with scraped contact details.

All captured materials (photos, videos, voice notes) organized by topic.

A clear summary of field insights and weak signals to share in internal meetings.

A visual report of the event, organized by sales rep, enriched and ready for action.

Thomas can move straight to the next step: commercial follow-up. And management has, the very next day, a structured report to steer post-event priorities. No lost information. No wasted effort.

Case Study – WhiteVillas, Luxury Hospitality Group

In the Caribbean, a luxury hospitality group managing several high-end villas recently deployed one of our AI agents to improve coordination among on-site teams. Each villa has specific needs in terms of cleaning, repairs, maintenance, and guest follow-up. Until now, information was shared informally (via messages, phone calls, or verbal exchanges) which led to oversights, delays, and a lack of traceability.

Since the implementation of the AI agent, coordination has become instant.

A housekeeper notices a crack in the wall? She takes a photo and sends it to the agent’s dedicated WhatsApp number. The agent automatically identifies the task, routes it to the right person (the maintenance manager), and logs the incident in the internal management system.

The gardener spots a malfunction with a sunshade? He sends a voice message to the agent, which automatically generates a service request to the external provider, including the address, context, and attached photo.

This case, although outside the medical sector, illustrates a universal principle:

When an AI agent acts as a smart relay between field teams and management tools, no information gets lost.

This is exactly the approach we propose to apply to your future trade shows.

Billing

Design and Development of the custom AI Agent

Definition of use cases, architecture, development of the multimodal WhatsApp agent, and integration with internal tools (CRM, database, reporting).

3500€

Design and Development of the custom AI Agent

Definition of use cases, architecture, development of the multimodal WhatsApp agent, and integration with internal tools (CRM, database, reporting).

3500€

Design and Development of the custom AI Agent

Definition of use cases, architecture, development of the multimodal WhatsApp agent, and integration with internal tools (CRM, database, reporting).

3500€

Deployment, Testing, and On-the-Ground Support

Agent setup for the first congress, user testing, quick training for the sales team, and real-time adjustments in the field.

1500€

Deployment, Testing, and On-the-Ground Support

Agent setup for the first congress, user testing, quick training for the sales team, and real-time adjustments in the field.

1500€

Deployment, Testing, and On-the-Ground Support

Agent setup for the first congress, user testing, quick training for the sales team, and real-time adjustments in the field.

1500€

Maintenance and Evolution (Optional – Monthly)

Post-deployment support, bug fixes, and ongoing improvements to the agent based on event needs and field feedback.

150€/m

Maintenance and Evolution (Optional – Monthly)

Post-deployment support, bug fixes, and ongoing improvements to the agent based on event needs and field feedback.

150€/m

Maintenance and Evolution (Optional – Monthly)

Post-deployment support, bug fixes, and ongoing improvements to the agent based on event needs and field feedback.

150€/m

Somme :

5000€ HT

ajouter l'interface, et la partie pricing.