Services / AI implementation

Turn repetitive work into controlled, measurable systems.

Generative Z maps your processes, builds reliable n8n automations and AI agents, and trains your team to operate them with confidence.

Start with a clear scope. Define what success looks like before building.

Where we can help

Familiar friction. A better way to work.

Typical situations to explore together, rather than claims about past client results.

  • Leads that get lost or wait too long for a response.

  • The same data entered manually across several tools.

  • Repeated reminders and follow-ups.

  • A support queue crowded with recurring questions.

  • Reporting scattered across files and platforms.

  • Repetitive administrative tasks.

  • Teams using AI without a shared process.

  • Automations without supervision or documentation.

Four ways to get started

The right scope for your next step.

Choose a starting point around your process, your tools and your team. Scope and pricing are agreed after discovery.

AI Automation Audit & Roadmap

Understand where automation can help, what needs human judgement and what to build first.

  • Interviews and operational objectives
  • Process mapping
  • Identification of repetitive tasks
  • Selection and prioritisation of opportunities
  • Risk review and human approval points
  • An actionable roadmap

Deliverable: a process map and prioritised implementation roadmap.

Request an audit

n8n Workflow Implementation

Turn a defined process into a connected workflow that your team can operate and maintain.

  • Workflow design
  • API integrations
  • Business rules
  • Error handling
  • Logging
  • Alerts
  • Documentation
  • Handover and an agreed maintenance scope

Deliverable: a tested workflow, operating documentation and handover.

Discuss a workflow

Controlled AI Agent Pilot

Test a focused use case with explicit permissions, human checkpoints and agreed evaluation criteria.

  • A narrow use case
  • Explicitly authorised tools
  • Defined data and sources
  • Human approval checkpoints
  • A representative test set
  • Agreed success criteria
  • Error tracking
  • Usage limits
  • Preparation for production

Deliverable: a bounded pilot and an evidence-based production readiness review.

Select a pilot use case

Practical AI Training & Enablement

Build skills through hands-on practice tied to the work your team actually does.

  • Hands-on workshops
  • Prompting
  • Automation
  • n8n workflows
  • AI agents
  • Governance
  • Exercises connected to your business
  • Learning materials and skills transfer

Deliverable: practical workshops, exercises and reusable learning materials.

Explore training
New

Connected CRM

Your CRM, your AI agents and your tools, connected: contacts, conversations and meetings in one system adapted to your business.

One-off price, defined scope · Request a proposal

Discover Connected CRM

Example journey

  1. A Meta Ads campaign brings a request on WhatsApp
  2. The AI agent summarises it and suggests a qualification
  3. Without a reply, a follow-up you approved goes out
  4. The customer books a meeting and you see which campaign brought them

Supporting the solution

The pieces around the workflow.

These capabilities support an operational solution. They are scoped around the main project, rather than offered as a general marketing programme.

  • Landing pages and frontend experiences
  • CRM connections
  • Dashboards
  • Technical SEO related to the project
  • Forms and acquisition flows
  • Documentation and handover

How delivery works

From a shared understanding to a team that can take over.

Each step has a concrete deliverable. Human review is built into the path to production.

  1. Discover

    An agreed brief covering objectives, constraints and process owners.

  2. Map

    A process map showing tools, data and handoffs.

  3. Design

    A workflow specification with permissions and approval points.

  4. Build

    A configured workflow or agent pilot with its integrations.

  5. Validate

    Test results, reviewed exceptions and an acceptance decision.

  6. Deploy & train

    An operating guide, handover and practical team training.

Possible starting points

What could your first workflow do?

Illustrative use cases to assess during discovery. They are not a portfolio of completed client projects.

Lead qualification & routing

Organise incoming enquiries and route them to the right person.

Appointment scheduling

Connect availability, booking requests and confirmations.

Customer support

Prepare answers from agreed sources and hand over to a person when needed.

Incoming requests

Collect, classify and assign requests using defined rules.

CRM synchronisation

Keep agreed records aligned across connected tools.

Automated reporting

Bring selected data into a repeatable report for review.

Proposal preparation

Assemble a draft from approved inputs for human review.

Administrative assistance

Prepare routine records and tasks with clear approval points.

Content workflows

Move drafts through an explicit editorial approval process.

Team training

Practice AI and automation within a shared working method.

Control & reliability

Useful automation keeps people in control.

Define what the system can do, when it must stop and who approves the next action. Agree the controls during scoping and test them before production.

  • Human-in-the-loop

    Keep a person involved where judgement is needed.

  • Limited permissions

    Restrict tools and actions to the agreed use case.

  • Approval before sensitive actions

    Require an explicit review before sending, changing or committing.

  • Logs

    Record agreed execution events for troubleshooting.

  • Alerts

    Notify the responsible person when attention is required.

  • Error handling

    Define exceptions, safe stops and recovery steps.

  • Cost limits

    Set usage budgets and limits during design.

  • Tests before production

    Review representative cases and failure scenarios.

  • Documentation

    Explain operation, dependencies and known limitations.

  • Client ownership & handover

    Agree access, ownership of deliverables and transfer to your team.

Questions before you start

Clear answers. A practical starting point.

What does Generative Z automate?

We scope repeatable tasks such as request routing, CRM updates, reporting and administrative preparation. Discovery determines which steps are suitable and which need human judgement.

Does Generative Z build n8n workflows?

Yes. The implementation offer covers workflow design, API connections, business rules, error handling, logging and documentation. Each integration depends on the tools, access and APIs available.

Can Generative Z create controlled AI agents?

Yes. We start with a narrow pilot, authorised tools, defined sources, usage limits and tests. Human review and success criteria are agreed before considering production.

Does Generative Z provide AI training?

Yes. Practical workshops cover prompting, automation, n8n, agents and governance, with exercises related to the team’s work and materials for continued practice.

How does an automation project work?

The delivery path is Discover, Map, Design, Build, Validate, then Deploy & Train. Each step produces a concrete deliverable and a decision about what comes next.

How are human approvals handled?

Approval points are defined during design. Sensitive actions wait for a designated person to review and approve them; the workflow also defines what happens when approval is missing or refused.

Let’s define the first step

Start with one process worth improving.

Bring a recurring task, the tools involved and the people who own it. We’ll discuss the scope and the next useful step.

Explore practical training
Generative Z

Urbanización Nueva Bellavista
Sevilla, España

marketingmanager@genztunisia.com +34 602 06 67 45 WhatsApp