Consulting

Process Automation and AI

We automate what is repetitive and apply AI where it genuinely speeds up decisions.

Challenge

Teams spend hours on repetitive tasks that could run on their own, and AI still feels like a distant promise instead of a practical tool.

Automating before redesigning the process only accelerates the problem. We start by simplifying, then automate, then apply AI where it creates real value.

Common symptoms

Signs that it's time to act

  • Staff spend hours copying data between systems
  • Approvals and notifications are handled manually
  • Documents are read, summarised and classified by hand
  • There is curiosity about AI but nobody knows where to start
How we work

Our approach

  1. 01Identifying the processes with the highest automation return
  2. 02Redesign and simplification before automation
  3. 03Automation with n8n, Power Automate or direct integrations
  4. 04Practical AI applied at specific points in the flow
Deliverables

What stays with your company

  • Map of the automated processes
  • Flows running and monitored in production
  • Implemented AI use cases
  • Documentation and team training
Project stages

Working cadence

Stage 1
Discovery

Identifying the automation candidates with the highest return.

Stage 2
Redesign

Simplify before automating.

Stage 3
Automation

Implementation in n8n, Power Automate or direct API.

Stage 4
Applied AI

Adding AI where it replaces manual work.

Benefits

What changes with this work

  • Clear productivity gains
  • Fewer human errors in repetitive tasks
  • Staff focused on higher value work
  • A technology base ready to scale
Technologies

Stack used

n8nPower AutomateAPIsEnterprise LLMsPython

Let's talk about this challenge.

A thirty-minute initial conversation is usually enough to see whether it makes sense to move forward.