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AI Automations
Map the drag. Automate the sequence. Measure the gain.

Manual processes are not a workflow design — they are a cost that compounds every month they run.

The Problem

The highest-cost processes in most businesses aren’t the complex ones.

They’re the repetitive ones. The weekly report assembled by hand from three platforms. The CRM update that happens after every sales call — when someone remembers. AI automation doesn’t replace your team. It removes the tasks that shouldn’t be occupying them in the first place.

 Our Approach

Map the drag. Automate the sequence. Measure the gain.

Process audit: Identify the highest time-cost, highest-frequency manual tasks across your operations

Automation mapping: Document the trigger, logic, integrations, and output for each target workflow

Build: Configure the automation in n8n or Make.com with appropriate AI model integration

Integration: Connect to your existing stack — CRM, email, Slack, Google Workspace, or custom platforms

Testing and handover: Validate against real data, document the workflow, and train your team on monitoring

What You Get

Remove it from your team’s plate permanently.

Reporting Automations

Data pulled, compiled, and distributed on schedule — no manual assembly

Lead Management

CRM updates, follow-up sequences, and lead routing triggered automatically

Communication Workflows

Email categorisation, response drafts, and notification routing

Document Processing

Extraction, classification, and routing of structured data from documents

Cost of Delay

A process that costs 4 hours a week costs 200 hours a year.

Manual processes are not static. As volume grows, the drag grows with it. An automation that takes two weeks to build and deploy will have recovered its cost within the first quarter for most mid-sized teams.

The wrong training costs months. A conversation costs nothing. One session maps the gap. One programme closes it.