We build custom AI agents that work 24/7/365
Designed to automate, optimize, and scale your web operations
Your competitors are already using AI.
Are you?
In 2024, 78% of companies have already adopted AI across at least one core function. Of those, 71% are actively using generative AI.
While some are automating and optimizing at scale, others are falling behind.
AI Agent Solutions & Integration for your Web strategy
Lead Qualification
AI-powered workflows connecting Webflow to your CRM for seamless lead management and smarter client communication.
Content Creation & Optimization
Automated, SEO-friendly content production — plus large-scale technical audits and optimizations driven by AI.
Intelligent Dashboards
Real-time visibility on key metrics for faster, data-informed decision-making.
Market Trend Forecasting
AI-powered predictive analysis to help you stay ahead with proactive strategy adjustments.
Operational Cost Reduction
Automation of repetitive tasks to reduce overhead and refocus your team on high-value work.
Our go-to AI & automation tools
Claude
ChatGPT
Deepseek
N8N
Perplexity- MCP
- OpenAI
- Deepseek
Our Method
01Understanding your business needs
Deep analysis of your processes, challenges, and goals to identify the most impactful areas for AI integration.
02Identifying the right AI solutions
Selection of high-value use cases and the best tools or models tailored to your business context.
03Designing and building tailored systems
Custom AI agents and workflows designed to fit your stack — built for performance, scalability, and real-world impact.
04Training, testing & deployment
Live environment testing, iterative improvements, and full-scale deployment to ensure reliability and results.
Real-World AI integration use cases
How Digidop helped a niche fintech clarify its offer, strengthen its expertise, and capture qualified leads internationally.
Design of a scalable lead generation solution for the Union Foncière de France
Explore more AI capabilities with our experts
Additional services
Website Audit
Let us help you assess your web marketing strategy and define a smart growth plan tailored to your goals.
Strategic Workshop
Through collaborative workshops, we help structure your thinking around business goals, audiences, key messages, and user journey.
Website Audit
We audit your site’s UX, SEO, tech, and CMS to identify what works and what needs improvement, then deliver clear optimization strategies.
Webflow Agency
From development to ongoing optimisation, we build and evolve your site to serve your business goals.
Webflow Website Creation
High-performing, scalable, and fully editable websites, delivered with an SEO-friendly structure and premium design.
Support & Growth
Maintenance, new features, SEO/CRO optimisation, and AI integrations to boost conversions and performance over the long term.
Common questions about our Web AI solutions
Who covers the cost of AI tools and API usage?
We handle all the setup (OpenAI, Claude, etc.), but usage costs stay on your side. You only pay based on your own volume and usage — no hidden fees.
Do you offer training on AI and best practices?
Yes. We share free content on our YouTube channel and blog. We also run in-person bootcamps to help teams learn how to design, integrate, and use AI effectively.
Do you have real examples of AI used in client projects?
Yes — we’ve deployed custom AI agents across multiple workflows. One of them was even featured at the last Webflow Conf.
👉 Check out the full demo here
What’s the difference between generative AI and agentic AI?
Generative AI
Generative AI is designed to create original content—text, images, code—in response to specific prompts. It is reactive and produces outputs based on the data it has been trained on.
Agentic AI
Agentic AI goes beyond mere content generation. It can plan, make decisions, and act autonomously to achieve defined goals. It adapts to changing environments and performs tasks without constant supervision.
In summary, generative AI creates content in response to prompts, while agentic AI autonomously performs tasks to achieve specific objectives.
👉 Want to dive deeper? Explore our full article on generative vs. agentic AI
How long does an AI project take?
It depends on the complexity. On average, it takes 2 to 6 weeks from the initial scoping to the launch of your custom agent.
Can we start small?
Yes — and that’s often how we begin: one simple use case (lead gen, content, automation), then we scale if it delivers value.
