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When a rule is stable — move information, create a task, send a notification, update a field — conventional automation is often enough.
AI Automation & AI Assistant
AI automation for SMEs in Haguenau: simplify your processes without losing control
Automation is only useful when it removes real friction from your business. Agence Daphné designs automations and AI assistants connected to your existing tools to reduce repetitive tasks, structure incoming requests and make information flow more smoothly between your website, forms, emails, documents and business tools.
We support SMEs in Haguenau, Northern Alsace and Strasbourg with a simple approach: start with one specific process, define what the automation may do and what it must not do, and keep human validation wherever a decision can have meaningful consequences.
- A specific process before a tool
- AI only where it adds real value
- Human validation where it is needed
AI is only useful when it removes real friction
Adding AI to a poorly defined process does not make it more efficient. Before talking about a chatbot, assistant or automation, we first look at how the work is done today: where information arrives, who handles it, which steps are repetitive, where errors occur and which actions must remain human.
Not everything that can be automated needs AI.
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AI becomes useful when inputs are variable or unstructured: understanding the intent of an email, extracting information from a document, summarising an exchange, classifying a request or preparing a draft for review.
Our role is not to put AI everywhere. It is to choose the right level of automation for your need.
What we can automate
Qualifying incoming requests
A form or email comes in. The system can classify the request, identify missing information, structure the data, create or complete a record in your CRM and route the case to the right person.
The aim is not to let AI decide on its own whether a lead is “good” or “bad”, but to give your team a cleaner, more usable request.
Email triage and administrative tasks
Incoming messages can be classified by topic, urgency or department. Specific data can be extracted automatically, a task can be created and a draft reply can be prepared.
The final response can remain subject to human approval whenever the context requires it.
Document processing
Invoices, forms, PDFs, Word documents or attachments can be analysed to extract specific information and structure it in a spreadsheet, CRM or another tool.
Incomplete or inconsistent cases can be flagged instead of being processed automatically.
Preparing quotes or proposals
Based on an incoming request, approved business rules and existing templates, a system can prepare a first draft of a quote, proposal or commercial response.
The proposal remains a draft until a person has approved it.
Follow-ups and tracking
An automation can detect an unanswered request, a missing document or a pending quote, then trigger a follow-up at the appropriate time.
The workflow can stop as soon as a team member takes over, avoiding duplicate messages or inappropriate reminders.
Internal assistant for your documents
An AI assistant can be connected to a selected knowledge base: internal procedures, catalogue, product sheets, FAQs, documentation or operating rules.
The goal is to answer from authorised sources. When information is unavailable or not reliable enough, the assistant should be able to say so and route the request to a person.
Conventional automation or AI-assisted automation?
The two approaches complement each other.
Conventional automation
It is suitable when rules are known and repeatable: “if this happens, then do that”.
- Create a task when a form is submitted.
- Copy information from one tool to another.
- Send a notification to a team.
- Update a status in a CRM.
AI
It is useful when the system needs to interpret less structured information.
- Understand the subject of an email.
- Summarise a document.
- Extract data from text.
- Prepare a draft.
- Classify a request based on its content.
We favour the simplest solution that works. A more complex workflow is not better if it adds little extra value.
An AI assistant connected to your own information
A useful business assistant should not simply “know how to talk”. It should know which information it can rely on and where its limits are.
Depending on the need, we can design an assistant connected to a selected set of documents, procedures, internal content or business data, with the appropriate access permissions.
- The sources the assistant is allowed to access.
- The types of questions it should answer.
- The situations in which it should refuse or request approval.
- The expected response format.
- How the information is kept up to date.
The goal is to create a useful tool within a defined scope, not an “autonomous employee” presented as capable of doing everything.
Connect automation to the tools you already use
Automation only creates value when it fits the way the business actually works.
Depending on your environment, the workflow can connect a website, form, mailbox, CRM, management tool, calendar, document repository or other services already used by your team.
We do not automatically replace your existing tools. We first check whether they can be connected cleanly and whether a change is genuinely necessary.
When several options are possible, we favour the architecture that is easiest to understand, maintain and hand over.
Keep control over what automation can do
Effective automation is not the one that does the most. It is the one that also knows when to stop.
We define which actions may be executed automatically and which must remain under human control.
Human validation is especially important when the workflow may:
- Send a sensitive message to a customer.
- Prepare a commercial proposal.
- Change important information.
- Handle an unusual case.
- Use personal or confidential data.
- Trigger an action that is difficult to reverse.
Cases that fall outside the defined scope should be flagged or handed to a person rather than forced through an automatic response.
Data, access and documentation
Designing a workflow is not only about the visible steps. It is also about the data moving between tools.
During scoping, we identify the data sources, required access, potentially sensitive information and retention needs.
The architecture then depends on the context: tools already in use, data sensitivity, volume, operational constraints and your team’s responsibilities.
For interactions where a person communicates directly with an AI system, relevant information and transparency obligations must also be considered.
We document how the workflow works and where its limits are so that it remains understandable after implementation.
We do not describe a solution as “100% GDPR compliant” or broadly “AI Act compliant”: compliance depends on the use case, the data, the tools and the responsibilities within the project.
How it works
Needs analysis
We start from your current process: where the information comes from, who is involved, which steps take time, which errors repeat and which tools are already in use.
Choose a first use case
We define a process with a clear start, end, owner and expected outcome.
We avoid turning a first project into a company-wide “AI transformation” if one workflow can already solve the main problem.
Workflow design
We define triggers, data sources, actions, human validation points, exception cases and the expected behaviour when information is missing.
Connection and implementation
We build the workflow and connect only the tools required for the agreed scope.
Testing with real cases
We test the normal scenario, incomplete cases, possible errors and situations where the system must not act automatically.
Go-live and handover
The workflow, access and operating limits are documented. Maintenance or future changes can be planned when the need justifies them.
Quoted after an analysis of your needs.
Who it is for — and when it is not the right starting point
This support is relevant if:
- Your team repeatedly performs the same administrative or processing tasks.
- Information is copied manually between several tools.
- Requests arrive through forms or email and need to be sorted.
- You regularly handle documents, quotes, follow-ups or CRM updates.
- You want to test a first AI assistant within a clear scope.
- You are an SME in Haguenau, Northern Alsace, Strasbourg or the Eurométropole, or your activity can be supported remotely.
It is probably not the right starting point if:
- The process changes every week and is not yet defined.
- No one in the business owns the process.
- You are only looking for “an AI agent that does everything” without a defined scope or rules.
- You expect guaranteed time savings, ROI or revenue before the workflow has been tested.
- The need can be solved more simply by improving your website or existing tools.
Website, forms and automation: one connected journey
For many SMEs, automation starts before the CRM.
It starts when someone fills in a form, requests a quote, uploads a document or contacts the business.
That is why we can work across the whole journey: the page collecting the request, the information requested, the transfer to the right tool, qualification, follow-up and handover to a person.
When the problem starts with the website or form, we prefer to fix that step before adding another layer of automation.
See also our Website Creation and Website Redesign services.
Frequently asked questions
What is AI automation?
AI automation combines a workflow with an ability to interpret information when the data is not fully structured. It can, for example, classify an email, extract information from a document or prepare a draft before triggering the planned steps.
What is the difference between conventional automation and AI?
Conventional automation applies deterministic rules; AI is useful when text, documents or variable requests need to be interpreted. We use AI only when that capability adds real value to the process.
Which processes can an SME automate?
The best candidates are usually repetitive processes with clearly identifiable steps: request qualification, email triage, document processing, CRM updates, draft preparation, follow-ups and tracking.
Can you connect the automation to our CRM, website or email?
Yes, when the relevant tools provide the necessary access or interfaces and the integration is technically reasonable. Scope and access are verified during the needs analysis.
Can you build an AI assistant on our documents?
Yes. An assistant can be designed to answer from a validated set of documents or content. The authorised sources, response rules and behaviour when information is unavailable must be defined.
Can AI send replies or act on its own?
Some actions can be automated within a defined scope, but autonomy is not an objective in itself. We define precisely which actions are allowed and keep human validation whenever the context, risk or consequence justifies it.
How do you limit errors or hallucinations?
Risk is reduced by limiting the scope, using defined sources, adding validation rules and providing a fallback when an answer is not reliable enough. No generative system should be presented as infallible.
What happens when a case falls outside the defined scope?
The workflow should be able to stop, flag the case or hand it to a person. We avoid having an automation improvise an action when it does not have the necessary information.
How do you handle personal data?
The data used, access rights, tools and retention needs are reviewed during scoping. Technical choices depend on the use case, data sensitivity and the obligations applicable to the business.
How much does an AI automation project cost?
The cost depends on the process, the number of tools to connect, the level of AI required, validation steps and any ongoing maintenance. Quoted after an analysis of your needs.
Do we need to replace our current tools?
Not necessarily. We first try to use or connect your existing tools when that makes sense. A replacement is only proposed if it genuinely simplifies the system or resolves an important limitation.
Do you offer maintenance after delivery?
Yes. Maintenance or future changes can be planned when the workflow requires monitoring, adjustments or additional steps. The need is defined according to the project.
Do you have a repetitive process you would like to simplify?
We can start with one concrete situation: what comes in, what your team does today, what can be automated and what should remain under human control.
No imposed company-wide transformation and no catalogue of tools to buy: first the need, then the right architecture.