AI diagnostic & roadmap
We analyze your processes, friction points, and information sources to identify use cases where AI can save time, reduce errors, or streamline work.
- Process mapping
- AI scoring
FLUTTERIS Our services
AI at the service of
your efficiency.
We help SMBs identify the right use cases, launch a first useful project, and structure reliable AI usage across the company. We start by clarifying where the value is real, prove it with a pilot, then equip your teams without unnecessary complexity.
Key missions
Three core missions. Two extensions to structure and sustain.
The first three missions create value quickly. The next two define usage, secure practices, and extend what already works.
Targeted automation pilot
We implement a first concrete use case on a limited scope, with human validation and clear success criteria, to prove value in real conditions.
- Dashboard
- Human validation
Internal AI copilot
We build an internal assistant connected to your useful documentation to help your teams find information, standardize answers, and save time every day.
- Connected documentation
- Built-in safeguards
Usage framework & pragmatic governance
We define minimal rules for using AI properly: data types, human validation, access rights, traceability, best practices, and safeguards.
- Data rules
- Quality controls
Follow-up, adoption and scaling
Once the first uses are live, we help you improve what exists, train teams, track results, and gradually open other useful use cases.
- Follow-up
- Adoption
- Scaling
Engagement path
We don't sell you five separate projects.
We follow a logical path: understand, prioritize, prove, structure, then scale. You can start at the step that fits your situation, while keeping a clear view of what comes next.
01
Choose the right starting point
We identify a useful, realistic, and high-priority use case, instead of spreading effort across vague ideas.
02
Prove value on a real scope
We implement a first concrete use, with human validation and simple criteria to know if it works.
03
Equip teams for the long term
When a use delivers value, we turn it into a tool that teams can actually use in their daily work.
04
Frame usage
We put in place a simple framework: data, access, validation, quality, best practices, and responsibility.
05
Scale what works
We don't industrialize promises. We scale what has already proven its value.
Mission by mission
What we do in practice.
Beyond marketing promises, here is how our three core missions translate on the ground.
Core mission 01
AI diagnostic & roadmap
The right starting point when you have several ideas but no clear priority or solid business case yet.
When this mission is the right one
- You see many AI ideas but don't know which are worth pursuing.
- Some tasks take too much time, but the problem hasn't been framed yet.
- You want to move forward without starting a project that's too broad or too technical.
What we put in place
- Interviews with key people
- Mapping of relevant processes
- Identification of pain points, dependencies, and friction areas
- Prioritization of use cases by impact, feasibility, and risk level
- Clear roadmap with recommended first actions
What you get
- A clearer view of what's worth launching
- Concrete prioritization tailored to your company
- A realistic path to start without wasting time
Core mission 02
Targeted automation pilot
The right format to move beyond the 'impressive POC' and implement a first useful, framed, and measurable use.
When this mission is the right one
- You have a repetitive or time-consuming process that deserves improvement
- You want to test an AI use seriously, but on a limited scope
- You want to keep human validation on sensitive cases
What we put in place
- Definition of the exact scope
- Design of the target workflow
- Selection of useful tools without over-complicating
- Implementation of a pilot on a real case
- Checkpoints, human validation, and success criteria
What you get
- A first use that works in a real setting
- Simple indicators to assess the pilot's value
- A clear basis to decide whether to continue, adapt, or stop
Core mission 03
Internal AI copilot
The right choice when useful information is scattered and your teams waste time searching, reconstructing, or reformulating.
When this mission is the right one
- Your procedures, documents, FAQ, or internal content are hard to use
- The same questions come up again and again
- Your teams rely too often on a few key people
What we put in place
- Selection of useful document corpus
- Structuring of sources and minimal cleanup if needed
- Implementation of an assistant connected to your content
- Definition of response rules, validation, and access rights
- Adjustments so the tool is actually usable day to day
What you get
- An internal assistant focused on your context
- Faster access to useful information
- Less dependence on 'experts' for routine requests
Our approach
What sets us apart.
We don't sell technology for technology's sake. We help SMBs solve real problems with simple, useful, and framed solutions.
A business-oriented approach
We start from processes, pain points, and daily decisions — not from a fascination with tools.
An architectural and pragmatic mindset
We structure things clearly, avoid unnecessary complexity, and choose solutions that fit your reality.
Usage designed for teams
An AI use only has value if it is understood, adopted, and actually used.
A trust framework from the start
Human validation, data, access, traceability, and usage rules are not afterthoughts. They are part of the work from day one.
Technology stack
The tools we select according to your needs.
We use the right tools for your context, maturity level, and constraints. Our goal is not to stack technologies, but to choose what brings real value.
AI assistants and language models
- Depending on the need, we select the most suitable solutions for search, assisted writing, synthesis, analysis, or guided exchanges.
Workflow automation
- When relevant, we connect tools, data, and process steps to reduce repetitive tasks and streamline work.
Documentation, search and knowledge bases
- We structure useful content so your teams can find information faster and in the right context.
Usage framework, quality and security
- We integrate from the start the usage rules, validations, access, and safeguards needed for reliable use.
With full confidence
AI usage that is framed, so you stay in control.
AI can save time, but poorly framed usage quickly creates new risks. We integrate from the start the validations, access rules, best practices, and traceability needed.
Human validation when needed
AI assists. It does not replace judgment on sensitive, ambiguous, or binding matters.
Clear success criteria
We define from the start what we aim to improve: time saved, quality, consistency, processing speed, or reliability.
Data handled with care
Access, sources, and permitted uses are designed according to your context and constraints.
Best practices built in
Usage rules, confidentiality, roles, and validations are not add-ons: they are part of the project.
Reversibility
We avoid as much as possible locking you into an opaque or hard-to-evolve solution.
Visibility on what is implemented
You understand what is done, why it is done, and how it fits into your activity.
Let's talk about your first use case
In 20 minutes, we look where AI can help concretely, without fluff or over-engineered projects.
Book a meeting slot