Boost your productivity with AI agents and the Versatik agency

Autonomous AI Agents to Boost Your Performance 24/7

Digital collaborators capable of:

Qualifying your leads in real time
Providing multichannel support and follow-ups
Automating your critical processes

Versatik designs and deploys your custom AI agents to:

Automate, assist, and co-pilot your key activities
Ensure business consistency and instant scalability
Integrate natively with your CRM and tools

The revolution of AI agents

AI agents are true digital collaborators integrated into your business processes. They autonomously perform tasks such as qualification, support, or follow-ups, while staying aligned with your strategic goals. The power of AI agents lies in their adaptive autonomy. Unlike traditional chatbots, they understand intent, make decisions, adjust their responses in real time, and evolve without human intervention. An AI agent:

Analyzes
Collaborates with specialized sub-agents (quotes, support, FAQ…)
Continuously learns through moderation and feedback loops
Seamlessly integrates into your ecosystem (CRM, APIs, databases…)

Real-world example:

Need identification (quote, booking, technical info…)
Delegation to a relevant sub-agent
Personalized response or hand-off to an expert
Machine learning from interactions

With AI agents, you gain in responsiveness, consistency, and productivity, while freeing your teams from repetitive tasks.

AI agents in 2025

Innovative Services

Imagine an AI agent that:
– Sends a personalized welcome email as soon as the contract is signed
– Guides your clients step-by-step to set up their account
– Instantly answers frequently asked questions (pricing, setup)
– Automatically schedules a follow-up meeting when needed
– Proactively sends notifications if the client remains inactive

Control Your Operational Costs

– Reduce customer support expenses
– Offload your teams during peak demand
– Reallocate your budget to strategic projects

Instant Scalability

– Adapt your processing capacity in real time
– No proportional cost increase with higher volumes
– Dashboards to monitor your KPIs (response time, volume handled)

Custom AI Agents

We design custom AI agents based on your real-world challenges: reducing workload, speeding up response times, improving user experience, and streamlining your processes. Integrated with your tools and trained on your data, our agents operate directly within your workflows (RAG, automation, etc.).

Follow up by Versatik

A high-performing AI agent requires more than just deployment. We provide ongoing support: usage analysis, prompt refinement, quality control, risk management, and integration of user feedback. We’re here to support you every step of the way.

A structured approach. Tangible results. A long-term partnership.

Our method follows a clear, business-oriented logic: a fast launch, concrete deliverables, and iterative adjustments.

Technology, models, and protocols are constantly evolving. Versatik supports you from launch and stays by your side to continuously refine your AI agent.

Discover Versatik’s agentic solution for email management.

Why choose a Versatik AI agent?

At Versatik, we don’t just offer you a simple tool or an AI agent generator:
we deliver an operational, integrated, supervised, and scalable AI agent, designed to generate value from day one.

Criterion	Generic AI Agent	AI Agent built with Versatik
AI Agent Creation	Your responsibility	Built with you, based on your needs
Connection to your tools	Very limited	Custom integration via connectors & APIs
Business relevance	Generic, poorly contextualized	Aligned with your rules, language, and use cases
Monitoring & supervision	Nonexistent	Ongoing tuning, KPIs, improvements based on real-world feedback
Compliance & security	US standards	GDPR compliance, local control and hosting
Scalability	Manual, needs restarting	Continuous improvement, monthly supervision

AI Agent Design: The Approach Adopted by Versatik

1. Discovery Phase

We begin with a free 30-minute video call to understand your challenges, objectives, and technical environment. After this call, you receive a clear summary of the next steps, an estimated timeline, and the most suitable collaboration model (flat-rate or hourly).

2. Analysis and Design

During a collaborative workshop, we gather your needs in detail and identify the key processes to automate first. We then work with you to design the AI Agent workflows and scenarios that will deliver the greatest value to your business.

3. AI Solution Development

Once the design is validated, our team develops your AI solution using an agile method, delivering regular outputs and providing transparent progress tracking through our project management tool. You can adjust the scope in real time and visualize each milestone.

4. Deployment, Training & Support

We handle the production launch of your AI Agents and train your teams on how to use them. We then remain by your side to provide ongoing maintenance, optimize performance, and support the continuous integration of new features.

Use Cases

Use case	Easy	Intermediate	Advanced
Simple lead qualification	✓
Basic customer support (FAQ, product info)	✓
Sentiment analysis & engagement reporting		✓
Automated follow-up & appointment scheduling		✓
Email responses with specialized sub-agents			✓
Agentic chatbot + quote creation workflow			✓
Multi-agent voicebot (CRM & telephony)			✓

OpenAI Agents Framework

The OpenAI Agents framework is a lightweight, modular, and provider-agnostic library designed to natively build and orchestrate multi-agent workflows. This framework enables developers to design and deploy agentic systems that support contextual tool use and scalable service orchestration.

At Versatik, we leverage the Agents framework to orchestrate your AI agents.

Power of the Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard protocol designed to seamlessly connect AI models (LLMs and agents) to any external tool, service, or data source—acting like a “USB-C port” for your AI applications. At Versatik, we use MCP to build robust and modular agentic architectures: each AI agent can communicate in real time with internal or external services, evolve without requiring a complete redesign, and ensure optimal traceability and security.