We don't build scripted chatbots, we design conversational AI agents that read context, act across your systems, and complete real tasks inside your processes. From the first public touchpoint to internal support, every agent is grounded in evidence-based research and a conversation design that earns the user's data instead of demanding it.
We design an AI agent that is useful, usable and adoptable, ensuring that the solution has a measurable impact on business KPIs, such as reducing cycle times (MTTR) or increasing internal NPS.
If you don't design the experience around the agent you risk:
We don’t build scripted chatbots — we design conversational AI agents that read context, act across your systems, and complete real tasks inside your processes. From the first public touchpoint to internal support, every agent is grounded in evidence-based research and a conversation design that earns the user’s data instead of demanding it.
A chatbot answers.
A traditional chatbot follows scripts: it recognizes keywords and returns predefined answers. It works as long as the context is simple and predictable but as soon as the request leaves the expected path, it merely deviates or is not useful.
It's a superficial tool, giving the illusion of support without really solving the problem.
An AI agent, on the other hand, interprets the context, makes decisions and acts within processes: it can access systems, manage exceptions and complete complex tasks.
It's not an interface that simulates a conversation, but a system that works together with people to solve real problems.
Let's not jump into the void.
Our path follows the Double Diamond phases (Discover, Define, Develop, Deliver) adapted to the logic of Artificial Intelligence, reducing risks and maximizing ROI before writing a single line of definitive code.
Find out the right problem to solve
Through interviews with stakeholders, process observation and data analysis, we map the current state and identify the automation opportunities with the highest impact.
Output:
Design the context in which the agent will operate
During co-design workshops, we define priority processes and future experience. Every agent must know who they are, what they can do, what they cannot do and how to measure success: we define rules, KPIs, the most suitable AI model and the Value Matrix to calculate the ROI. Without this phase, the agent would act in a vacuum.
Output:
Build with specialized agents in parallel
We create an interactive prototype in an AI sandbox and quickly test it with real users to validate effectiveness, accuracy and usability, before writing a single line of definitive code. Tasks that would normally take many hours can be completed in a short time by a team of specialized agents.
Output:
Commissioning and control plan.
We manage the pilot deployment on a controlled group of users, immediately measuring adoption and accuracy. Go-live is not the end, but the beginning: we define performance metrics, operational limits, supervision plan and continuous improvement cycle.
Output:
Companies that invest in a customer-oriented CX strategy gain a tangible competitive advantage, improving customer loyalty and increasing profitability by 60% compared to competitors that do not follow this approach.
Each Agent Service Design project, carried out with our methodology, produces 4 tangible deliverables, regardless of the AI technology chosen.
A visual and operational tool that transforms abstract concepts into concrete design decisions.
The questions that the Canvas asks you to answer:
Let's start with who will use the system and what problem they really have, not from the list of things that AI knows how to do.
So: let's design processes, not just prompts.
let's design the agent's informational context: what he knows, what he doesn't know, where he stops, what success looks like.
So: the agent operates precisely, not by trial and error.
(coordination of specialized agents) — we use teams of agents that work in parallel, with automatic gate qualities and human supervision at critical points.
So: speed and control together, not in conflict.
Our value is not only in the method, but in the technology it enables. We combine the strategic consultancy of Service Design with an open platform, to give you maximum control.
Beyond Go-Live
We are not selling a project, but a platform that improves over time. AI isn't static: we measure agent impact like any other business process.
The concrete results
Let's bring tangible results to the table. Our journey transforms a process analysis into an operational and measurable co-pilot in a few weeks.