AI automation · European mid-market

Repetitive work becomes a controlled AI workflow.

GrowthAIQ analyses operational constraints, connects existing systems and delivers prioritised AI automations into production — with clear approvals, documentation and accountable operations.

Best suited toFor B2B companies with recurring administrative, sales or service processes across several systems.

The operational constraint

Automation rarely fails because of the tool. It fails at handoffs, data and accountability.

Point tools automate individual tasks while employees continue transferring context across email, CRM, documents and spreadsheets.

We begin with one commercially relevant end-to-end process, measure the baseline and design rules, exceptions and human approvals with the process owners.

  • Shorter cycle times
  • Less manual transfer
  • Traceable approvals
  • Better data quality
  • Measurable operations
  • Documented accountability

Delivery

From baseline to
controlled operations.

01

Quantify the constraint

Capture volume, handling time, errors, waiting time and the target KPI.

02

Design the workflow

Define systems, data, rules, roles, privacy needs and exception paths.

03

Integrate into production

Build the workflow, test real cases and introduce it to the team with control.

04

Improve operations

Monitor quality, adoption and business impact before extending the system.

What you buy

A production system.
Transferred transparently.

We do not promise a generic savings percentage. The business case, privacy needs and achievable effect are assessed for each process before delivery.

01

Process and data map

Aligned to your process, systems and the agreed target KPI.

02

Prioritised automation roadmap

Aligned to your process, systems and the agreed target KPI.

03

Production end-to-end workflow

Aligned to your process, systems and the agreed target KPI.

04

Monitoring, exception paths and operating documentation

Aligned to your process, systems and the agreed target KPI.

Frequently asked questions

Clarity before the
first step.

Which processes are best for a first AI automation?

Strong starting points have high volume, repeatable steps, verifiable outcomes and a named process owner — for example lead routing, document processing, proposal preparation or support triage.

Do we need to replace our existing systems?

Usually not. We first assess whether CRM, ERP, email and document systems can be connected reliably through existing interfaces.

How do you address GDPR?

We document purpose, data categories, roles, providers and safeguards early in the Blueprint. The final legal assessment remains specific to the use case.

START / 01

No-obligation initial assessment

AI automation for mid-market companies: shall we assess the potential and scope?

Tell us your goal, current situation and greatest constraint. You will receive an honest view of the right building blocks and the most sensible next step.

Assess the complete system