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Applied AI for business

We implement AI that improves real processes.

We build agents, automations and copilots connected to your systems, with metrics, security and human oversight from the pilot onward.

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Opportunities

Where applied AI creates value.

01

Overloaded service teams

Repeated questions and prospects waiting too long for an answer.

02

Manual processes

Data copied across emails, files and systems, creating errors and rework.

03

Scattered documents

Valuable information trapped in PDFs, contracts, invoices and case files.

04

Hard-to-use knowledge

Teams lose time looking for policies, procedures and background.

Solutions

Start with a measurable business problem.

/01

AI agents for service and sales

Conversational assistants that use company knowledge, qualify leads and hand off to a person when needed.

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/02

Intelligent process automation

Workflows combining rules, integrations and AI to classify, decide, draft and move information between systems.

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/03

AI document processing

Extract and validate data from invoices, contracts, files, orders and forms, with exception review.

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/04

Enterprise copilots

Internal tools that help teams analyze information, draft content and complete tasks within a defined process.

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/05

AI assessment and strategy

Executive and technical assessment to prioritize viable use cases by impact, data, risk and effort.

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Our experience

We use the technology in our own products and processes.

ADEL

A conversational assistant built to answer questions and route conversations across our own digital properties.

MELIVentas

An internal product where we apply automation and intelligence to support sales activities.

Editorial pipeline

Our own workflow combining a CMS, automation and AI assistance to prepare and govern content.

Implementation

From opportunity to a controlled pilot.

  1. 1

    Discovery

    We map the process, data, risks, owners and a measurable baseline.

  2. 2

    Controlled pilot

    We build a focused use case with real data and human review.

  3. 3

    Integration

    We connect systems, permissions, monitoring and traceability without disrupting operations.

  4. 4

    Continuous improvement

    We measure quality, adoption, saved time and cost to prioritize improvements.

Responsible implementation

Security and human oversight are part of the architecture.

We define access, data treatment, action limits, evaluations, logs and escalation before putting AI into operation.

  • Least-privilege access
  • Human approvals
  • Logs and monitoring
  • Data minimization
Frequently asked questions

What companies ask before starting.

Which process should we start with?

Choose a frequent, measurable process with manageable risk and a clear owner. The pilot should prove value without requiring a full transformation.

Can you work with imperfect data?

Yes. Discovery evaluates quality and access; scope can include organizing a minimum viable source before automation.

Does AI make decisions by itself?

Only when risk and rules allow it. We design approvals, action limits and human escalation for each case.

Let’s identify your first AI pilot.

In a short conversation we can evaluate the process, data and metric that matter most.

Schedule a discovery call →