Oli-via-net, an agency specialising in process automation, digital marketing and building AI agents

Answer: It means using workflows (automated actions that follow one another to complete a task) and AI agents to carry out repetitive tasks automatically:

• lead qualification, customer follow-ups
• data synchronisation
• report creation
• advertising campaign management....

For your sales team: instead of spending 2 hours a day qualifying leads manually, a workflow analyses every form received, assigns a score, and automatically routes it to the right sales rep. You save time and never miss an opportunity again.

For your customer service: when a customer asks a question, a smart system automatically directs them to the right answer, FAQ, chatbot or human support.
The result is less waiting, more satisfaction and less pressure on your teams.

For your e-commerce website: every visitor receives personalised product recommendations, abandoned basket reminders and messages adapted to their behaviour.
You increase revenue immediately without increasing traffic.

For your marketing campaigns: automatic segmentation + personalised messages = results 2 to 5 times better than generic newsletters.

For your reporting and data: no more need to extract or cross-check information, as dashboards update in real time to steer your growth.

In short, fewer manual tasks, more customers and faster growth.

Answer:

Automation = applying logical rules, “if X then Y”.

AI = the ability to analyse and make contextual decisions (text analysis, prediction, scoring).

AI agent = a fusion of the two, it acts like a digital colleague able to hold a conversation, learn and improve its actions.

At Oli-via-net, we integrate conversational and decision-making AI agents able to interact with your prospects, your data and your business tools.

A traditional chatbot: answers according to predefined scripts. If the question goes beyond the script, it is stuck.

A real example:

• Chatbot: "I do not understand your question"
• AI agent: analyses your request → checks your CRM → creates a qualified ticket → routes it to the right department → sends you a personalised confirmation

The AI agent learns from every interaction and keeps improving.

Answer: No. The aim is not to cut jobs, but to cut tasks with no added value, copying and pasting, data extraction, reports, manual follow-ups.

Your teams can finally focus on strategy, customer relationships and value creation.
It is a growth lever, not a substitute for skills.

A real example: Before, your sales rep spent 2 hours a day qualifying leads, following up by email and entering data in the CRM. After automation, the robot does all of that in 3 minutes. Your sales rep spends those 2 hours negotiating with high-value qualified prospects.

The result: the same team, with 3 times more opportunities handled.

Answer: The biggest gains come from repetitive tasks that span several tools:

• Lead qualification and scoring
• Automatic customer follow-ups
• Synchronisation between CRM and email
• E-commerce product feed updates
• Multichannel reporting (SEO, SEA, social media).

We connect most marketing and CRM tools through APIs or MCP:

CRM & sales: HubSpot, Salesforce, Pipedrive, Monday, Notion, Odoo...

E-commerce: Shopify, WooCommerce, PrestaShop

Advertising: Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads

Analytics: Google Analytics 4, Looker Studio, Google Sheets

Communication: Gmail, Slack, WhatsApp Business, SMS

Automation: n8n, Make (Integromat), Zapier, Airtable

If your tool has an API (95% of modern tools do), we can integrate it.

These automations cut the time spent on operations by up to 60%, while improving data reliability.

Answer: Yes, 90% of it — it is even one of the most promising sectors. Automation handles:

• stock updates
• the creation of Google/Merchant Center advertising campaigns
• the synchronisation of customer reviews
• multichannel abandoned basket reminders (email, WhatsApp, SMS).

Combined with AI, it can detect high-potential products and adjust your advertising budgets dynamically.

Answer: Workflows can automatically qualify incoming leads, enrich their records through APIs (LinkedIn, Clearbit…), route them to the right sales rep and trigger automated follow-up sequences.

The result: your sales reps only receive warm prospects (qualified), already segmented and scored according to their potential.
The conversion rate can rise by 20 to 40% in the first few months.

Answer: We assess the time saved per task, the average hourly cost, and the additional gains (leads, sales, productivity).
A workflow often pays for itself in less than 3 months.
For example, an automation that saves 5 hours a week at €40/hour represents €800 of monthly savings, or more than €10,000 a year.
Tools such as Looker Studio or Databox let you see these gains in real time.

Answer: Every automation is monitored through a dashboard showing triggers, successes, errors and delays.
Alerts can be set up to warn of a blockage (expired API, missing data, etc.).
The key indicators are the execution rate, the average time saved, the volume processed and the impact on your business.

Answer: Automated marketing relies on fixed rules (if a prospect does X → send Y).
AI marketing, on the other hand, learns from past behaviour. It adapts the message, the channel and the optimal time to send it.
Combined, the two create a self-learning acquisition system, able to improve without human intervention.

Answer: the cost varies with complexity. For an SME:

• Simple automation (1-2 workflows): €1,500 to €3,500
• Complete automation (4-5 interconnected workflows): €5,500 to €9,000

Typical ROI: 2 to 3 months. For example, automating quote follow-ups can save around €200 a month, or €2,400 a year… and increase the conversion rate.

Answer: A 3-level security architecture:

1. Mandatory human approval: every budget or strategic decision requires your approval (via WhatsApp, email, Slack, Teams or the tool of your choice). The robot proposes, the human decides.

2. Separate workflows: each process is isolated. An error in one workflow does not affect the others.

3. Total traceability: every action is logged with the date, time and reason. You always know what happened and why.

In practice:

• 70 to 90% of human errors in business come from repetitive, manual tasks (source, IBM, Harvard Business Review)
• Automation reduces operational errors by 25% to 67% depending on the sector (source, EY & Forrester)
• Data entry errors fall by almost 100% when automated (source, UiPath, Deloitte)
• 80% of companies using automation see an improvement in the quality of their data (source, McKinsey)
• Automated workflows achieve 99% reliability on repetitive tasks (source, Forrester RPA Study)

Answer: Yes, if connections go through encrypted APIs (HTTPS, OAuth2) and GDPR-certified platforms.

At Oli-via-net, we favour tools hosted in Europe (n8n Cloud, Make EU, Airtable France).
Every automation follows the principle of data minimisation and complete logging of actions.

Security at every level

Encrypted connections: all APIs use HTTPS and OAuth2

GDPR compliance: we comply with personal data regulations

Secure hosting: your workflows run on certified European servers

Restricted access: only authorised people have access to the configurations

Audit logs: complete traceability of every action

Your data stays in your tools. Workflows only read / write according to your permissions.

Answer: Every workflow includes automatic recovery and alert logic.

In the event of a failure (API, quota, bug), the system sends a notification and suspends the sequence to avoid cascading errors. A team can then step in quickly, with no data loss.

Answer: Yes. Every scenario is traceable (who triggered what, when and with which data...)

This guarantees total transparency and makes it possible to justify every action to the DPO or to the end client.
Execution logs can be exported at any time for checks or compliance.

Answer: The market leaders are:

• n8n (open source and self-hostable),
• Make (intuitive visual interface),
• Zapier (mainstream and stable),
• Landbot / Flowise for conversational AI agents,
• Airtable / Notion / Google Sheets to centralise data.

The choice depends on your technical environment and the level of control you want.

Answer:

Zapier: ideal for simple, quick automations.

Make: a richer visual interface that can handle advanced conditional logic.

n8n: the most flexible, self-hostable, perfect for sensitive data.

At Oli-via-net, we often combine Make for speed and n8n for robustness and security.

Answer: Yes, through APIs (and soon MCP).
For example, you can automatically generate:

• personalised emails.
• conversation summaries.
• advertising scripts.
• smart replies to customer reviews.

Automation then becomes AI-augmented, able to write, analyse and optimise continuously.

Answer: Depending on the complexity, it takes from 5 days to 6 weeks. The first benefits (time savings, reliability, visibility) are often visible within the first month.

Simple workflow (e.g. lead qualification), allow 1 to 2 weeks.

Complete automation (e.g. the Arsayo case with 5 workflows), 3 to 6 weeks.

Methodology:

• Weeks 1-2: audit and design
• Weeks 2-4: development and testing
• Weeks 4-6: deployment and team training

A typical project goes through 4 steps: audit, design, deployment and optimisation.

Answer: Yes. We train your teams to handle the scenarios, read the logs and create new workflows.
Our projects always include clear documentation and tutorials suited to your technical level.

The aim: to make you autonomous, with no technical dependence.

Answer: Because automation has a direct impact on your data, your image and your performance.
We design reliable, documented, scalable systems, suited to your existing tools.
Our team combines marketing, technical and AI expertise, which guarantees high-performing, measurable, compliant automations.
On average, our clients save 2 to 6 hours a day from the very first weeks.