Scenario audit
Review existing automations to identify wasted operations, breaking points and risks.
AI automation & workflows
Automate what slows your business down. Keep control of what matters.
VIEWZ designs systems that connect your tools, structure your data and prepare repetitive actions without turning an unclear procedure into an automated error.
The VIEWZ method
Understand the work before choosing the tool.
A useful automation starts with a real, written and tested procedure. I formalise the steps, exceptions, data and approvals before building the scenario.
The goal is a measurable, maintainable system that can fail cleanly, with human approval whenever an action affects your image, customer relationships or responsibility.
The expertise
Complete expertise, from audit to production.
Every engagement is built around your procedure, tools and the level of independence your team needs.
Workflow architecture
Document triggers, modules, filters, mappings, structured outputs, costs and approval steps before construction.
Bespoke implementation
Build in Make or n8n, connect tools, manage errors and duplicates, test and activate progressively.
Documentation & training
A written procedure, onboarding and support so you can understand, stop, repair and evolve the system.
Two practical examples
Workflows that produce a verifiable result.
Qualified prospecting
A limited candidate search, duplicate and opt-out checks, evidence-based AI analysis, a minimum score of 70, then a Gmail draft reviewed before any send.
Client enquiry form
Each enquiry is structured by AI, recorded in Notion, qualified against your criteria and paired with a personalised reply draft for approval.
Method
A scenario built as a production system.
Scope
Describe the real procedure, volumes, exceptions, budget and everything that requires a human decision.
Architect
Choose Make or n8n, order modules, filter before costly calls and define the expected outputs.
Test
Check normal, empty and incomplete cases, duplicates, API errors and costs on a small initial batch.
Deploy
Start with low volume, drafts and alerts, then scale only after several stable runs.
Safeguards
Reliability, costs and human control designed in from the start.
Controlled data
Collect only what the purpose requires, keep source evidence, protect secrets and handle personal data carefully.
Measured costs
Use the slowest useful frequency, cap volumes, filter before AI and track credits, operations and tokens.
Traceable errors
Limited retries, clear statuses, stored incomplete runs and no invented values used to hide a failure.
Human in the loop
Drafts, approval lists and manual sends for initial batches and every sensitive action.
Training programme
Automate your business with Make & n8n.
Download the complete professional programme: 3 days, 21 hours, 14 practical workshops and 9 ready-to-use scenarios for turning a repetitive task into a reliable, documented system.
Your project
Start with one repetitive task that genuinely costs you time.
Tell me what you do today, which tools are involved and the expected result. I will respond with an initial assessment of the workflow, its risks and its automation potential.