AI and n8n automations

AI automations for companies that can no longer depend on manual work.

We design flows that receive calls, classify requests, organize documents, prepare quotes, notify the team and leave traceability. No empty promises: we start with an audit, build with real data and keep human supervision in the process.

Based on real audits n8n + AI Data in Europe Human supervision Documentation included

Real problems we automate

From operational friction to a traceable system.

These examples combine problems detected in a real technical engineering audit with common SME automations. When an example comes from the audit, we present it as a proposal designed from the diagnosis, not as an already implemented system.

AI + humanFrom EUR 1,890

High volume of calls and customer requests

From loose calls to organized opportunities. Each call becomes a clear record, with owner, priority and next step.

Detected problem

Calls arrive throughout the day and mix commercial questions, incidents, quote requests and technical doubts. Part of the information stays in notes, emails or one person's memory.

What we automate

A conversational AI phone assistant that answers, collects data, classifies the request and routes it to the right person.

How the flow works

  1. A call comes in.
  2. The assistant greets the caller, explains that it is collecting information for the team and requests consent if recording or transcription is involved.
  3. It asks for name, company, phone, email, request type, urgency, required service and description.
  4. If it detects an urgent or sensitive case, it transfers to a person or creates an immediate alert.
  5. n8n creates the record, summarizes the call, assigns an owner and sends an email, Teams or Slack alert.
  6. AI prepares a draft reply or initial quote.
  7. The system checks mandatory fields and passes the case to a human supervisor.

Possible tools

Vapi, Retell AI, ElevenLabs Conversational AI, n8n, Airtable, HubSpot, Supabase/PostgreSQL, Teams, Slack, email, Google Docs, Word, PDFMonkey, Documint.

Data stored

Name, company, phone, email, reason, urgency, summary, transcript, owner, status, next action, date, channel, consent and link to quote or documentation.

Human control

No quote is sent alone. AI prepares the draft, the system checks fields and a person validates before sending.

Expected outcome

More commercial order, less lost information and clear traceability for every request.

Real auditFrom EUR 890

Client information intake and duplicated documentation

One source of truth. Fewer repeated documents, fewer errors and more traceability between departments.

Detected problem

The real audit detected document duplication between departments and the need for shared templates. Several people were entering similar data in different places.

What we automate

A single document intake, case file and corporate template system connected to automations.

How the flow works

  1. The client sends a form, email or document.
  2. n8n detects the entry.
  3. AI extracts client, project, date, document type, department and priority.
  4. The system checks whether a case file already exists.
  5. If it exists, the information is attached. If not, it creates folder, record and task.
  6. Shared templates are used for quality, environment, operations or projects.
  7. The corresponding department is notified and missing information is logged.

Possible tools

SharePoint, Microsoft 365, Power Automate, n8n, Notion, Airtable, Google Drive, OneDrive.

Data stored

Client, project, date, document type, department, status, owner, original file, version, pending fields and change traceability.

Human control

Duplicate validation, mandatory fields, automatic file naming and human review when data is missing.

Expected outcome

More organized documentation, less manual copying and a shared base for cross-department work.

Structured dataFrom EUR 1,890

Work reports, time tracking and administration

Less repeated administration. Data is entered once and then travels through the system.

Detected problem

The audit surfaced time tracking, reports, work sheets and billing as repetitive tasks that consume time.

What we automate

Work report generation, time entry validation, internal reporting and preparation of billing data.

How the flow works

  1. The employee records working time, task or work report from mobile, form or app.
  2. The system validates project, client, hours, description and owner.
  3. n8n stores the information in the corresponding tool.
  4. If data is missing, it returns an automatic alert.
  5. If complete, it generates a PDF or internal record.
  6. If applicable, it sends data to billing or ERP.
  7. Management receives a weekly summary of hours, pending reports and deviations.

Possible tools

Factorial, Sesame HR, Holded, n8n, Airtable, Google Sheets, Excel, Power BI.

Data stored

Employee, date, project, client, hours, task, status, validation, generated report, owner and notes.

Human control

Nothing is billed automatically without review. The system prepares data and alerts the responsible person.

Expected outcome

Less administrative time and better visibility over hours, pending reports and work ready for billing.

AI + supervisorFrom EUR 1,890

Quotes and proposals with human review

Faster proposals, but never blind automation. AI prepares; the company decides.

Detected problem

The commercial or technical team collects information through calls, emails or forms and then has to manually turn it into an offer.

What we automate

An assisted proposal generation system with field control, coherence checks and human approval.

How the flow works

  1. A lead arrives by call, form or email.
  2. AI classifies need, urgency, size, sector and priority.
  3. n8n stores the lead in CRM or database.
  4. AI generates an internal summary and proposal draft.
  5. The system checks mandatory fields, prices, services, limits and tone.
  6. If something is missing, it creates a task to request information.
  7. If complete, it goes to the supervisor.
  8. After approval, a PDF is generated and sent to the client.

Possible tools

n8n, OpenAI or AI configured through API, Airtable, HubSpot, Holded, Google Docs, Word, PDF generator, Gmail, Outlook.

Data stored

Lead, company, need, service, urgency, indicative amount, proposal version, status, approver, date and generated document.

Human control

There must always be human-in-the-loop. AI never signs or sends a final proposal without approval.

Expected outcome

Less waiting time between request and proposal, without losing commercial judgment or control over final sending.

CoordinationFrom EUR 890

Internal communication and cross-department coordination

Fewer lost messages. Every project has a channel, owner, documentation and follow-up.

Detected problem

The audit detected fragmented communication, especially between departments and quality or environmental processes.

What we automate

An automatic coordination system by project, department and priority.

How the flow works

  1. A project is created or updated.
  2. n8n creates a channel, folder or task based on template.
  3. Owners are assigned.
  4. Every relevant change generates a Teams, Slack or email alert.
  5. If a task is delayed, it is notified.
  6. The system generates a short note after meetings or updates.
  7. Management sees a weekly blocker summary.

Possible tools

Microsoft Teams, Slack, SharePoint, Planner, Notion, Asana, Trello, ClickUp, n8n.

Data stored

Project, department, task, owner, deadline, priority, status, blocker, latest update and documentation link.

Human control

Notifications must be useful, not noise. We define frequency, priority and escalation rules.

Expected outcome

Less dependence on scattered messages and more traceability over who does what and when.

AI trainingFrom EUR 390

AI applied to technical reports, regulations and data analysis

Useful, safe AI applied to real work, not generic training.

Detected problem

87% of the team already uses AI, but 100% needs training and shared criteria. Detected uses: reports, regulation search, summaries and data analysis.

What we automate

An internal applied AI system with prompts, templates, use-case library and usage controls.

How the flow works

  1. Real team use cases are collected.
  2. Templates are created for reports, regulations, emails, summaries and analysis.
  3. Allowed and restricted data is defined.
  4. An internal library is configured.
  5. An internal assistant is created with style instructions and limits.
  6. A practical workshop is delivered.
  7. Adoption and issues are measured.

Possible tools

Microsoft Copilot, ChatGPT Team or Enterprise if applicable, Claude for Work, Perplexity for Teams, Notion, SharePoint.

Data stored

Templates, approved prompts, use cases, internal policies, frequent questions and detected improvements.

Human control

Clear privacy policy, no sensitive data in personal accounts and technical review before sending reports.

Expected outcome

More consistent AI use, less improvisation and shared criteria across the team.

Real auditFrom EUR 890

Internal surveys, workplace climate and improvement tracking

What is not measured gets forgotten. We turn internal opinions into concrete actions.

Detected problem

The audit detected negative eNPS, low recognition and room to improve communication with managers.

What we automate

Short internal surveys, aggregated analysis and follow-up of improvement actions.

How the flow works

  1. Every quarter, a 3-5 question survey is sent.
  2. AI summarizes patterns without exposing individual answers.
  3. Satisfaction, eNPS and critical areas are calculated.
  4. Improvement tasks are created.
  5. Management receives a report.
  6. Results are compared with the previous quarter.

Possible tools

Typeform, Google Forms, Microsoft Forms, Airtable, Notion, n8n, Power BI.

Data stored

Aggregated answers, indicators, recurring topics, open actions, owners, date and quarterly evolution.

Human control

Anonymization, minimum response threshold for conclusions and human review before decisions are made.

Expected outcome

Better follow-up of internal problems and decisions based on data, not scattered impressions.

Real automation system

How we would turn a diagnosis into an automated system.

Visual examples based on real flows an SME may need. First it is designed, then tested, and only then automated.

Real problem

AI call and quote system

Calls get lost or arrive incomplete. The system turns each conversation into a record, task and reviewable draft.

InputAIDatabaseValidationSupervisorClient
Tools + controls + deliverable

Vapi or Retell, n8n, Airtable or HubSpot, OpenAI/API configuration, PDF generator and email. We deliver documented flow, mandatory fields, logs, manual mode and quote template.

How a Motex automation flows

We automate repetitive work, not your company's responsibility.

Automation does not remove human judgment: it removes the repetitive work that prevents people from using it.

01

Input

Call, email, form, document, WhatsApp or internal task.

02

Capture

n8n collects the data and sends it to the right system.

03

AI

Classifies, summarizes, extracts fields, drafts content or detects urgency.

04

Database

Airtable, HubSpot, Supabase, Sheets, SharePoint or existing CRM.

05

Control

Field validation, error detection, business rules and logs.

06

Human

Supervisor approves, corrects or escalates.

07

Output

Quote, task, email, PDF, dashboard, alert or case file.

Real case: technical industrial engineering

Automations proposed after a real audit.

In May 2026 we completed an audit for a technical industrial engineering company in Madrid, with approximately 8 employees. The delivered work was a diagnosis and automation plan, not an already executed implementation.

Detected problems: document duplication, manual time tracking, work reports, billing, fragmented interdepartmental communication, chaotic intake of client information, lack of shared templates, need for AI training and improvable internal follow-up.

7.6 / 10Diagnosed average satisfaction
-12.5eNPS
87%of the team already uses AI
100%points to repetitive automatable tasks

Tools we connect

We do not impose tools.

First we audit the process; then we choose the simplest stack that solves the problem. If you already work with Microsoft 365, SharePoint, Holded or a specific CRM, we start there.

Orchestration

n8n, Power Automate, Make or Zapier when appropriate.

AI

OpenAI/API configuration, Copilot, Claude, Perplexity or models according to need.

Voice and calls

Vapi, Retell AI, ElevenLabs, Twilio or compatible telephony.

Data

Airtable, HubSpot, Supabase/PostgreSQL, SharePoint, Sheets or Excel.

Documents

Google Docs, Word, SharePoint, PDF generators, Holded or internal templates.

Communication

Teams, Slack, Gmail, Outlook, Telegram or WhatsApp Business API if applicable.

HR and reports

Factorial, Sesame, Holded and time tracking or work report systems.

Stack recommended in the real case

Microsoft 365, SharePoint, Power Automate, Copilot, n8n, Factorial/Sesame, Holded, Teams, Typeform + CRM.

Controls, security and human supervision

Controlled automations, not black boxes.

A serious flow must be reviewable, pausable and correctable. We design automations with traceability and supervision criteria from the start.

Tests with real anonymized data. Mandatory fields before generating a quote. Log of every execution. Alerts if a flow fails. Human supervision in commercial decisions. System documentation. First month of maintenance included. Data preferably hosted in Europe. Data processing agreement when applicable. Emergency manual mode if an integration fails.

Indicative pricing

From simple flow to multi-step system.

An email classification flow does not cost the same as a system for calls, CRM, quote draft, validation and PDF. That is why we give indicative ranges and close the scope after diagnosis or audit.

View pricing

Do you want to know what we would automate in your company?

In 45 minutes we review your calls, documents, repetitive tasks and current tools. We tell you which flow to build first, what data we would need and what it would cost.