Selected work

AI Automation Case Studies and Workflow Projects

Practical systems designed around real operational problems. No invented clients, inflated figures or unsupported performance claims.

How we present work

Challenge, System Design and Operational Outcome

Each example explains the process that was improved, the system approach and where human control remains important.

Case study 01Content Intelligence SystemCustom automation system

Content Intelligence System

The challengeMarket research was spread across alerts, publications, professional networks and manually shared reports. Reviewing everything, removing duplicates and identifying the most useful items was slow and inconsistent.

The systemAidvex designed a workflow that gathers selected sources, cleans and structures findings, removes duplicates and uses AI to rank the strongest intelligence items before human review.

WorkflowSelected sources → Cleaning and deduplication → AI evaluation → Human review → Weekly brief

Technologyn8n, Google Sheets, Gmail, AI models and validation logic

Human controlThe final shortlist remains reviewable before it is prepared for circulation.

Operational outcomeReduced repetitive research work and created a more focused, consistent intelligence process.

Case study 02Automated Business FinderCustom automation system

Automated Business Finder

The challengeFinding suitable businesses across selected markets required repeated searches, manual copying and duplicate checks before a useful prospect list could be prepared.

The systemA structured discovery workflow was created to process search terms, collect business information, check whether a record already exists and add new prospects to an organised lead database.

WorkflowSearch plan → Business discovery → Data preparation → Duplicate check → Lead database

Technologyn8n, browser-assisted collection, APIs and Google Sheets

Human controlSearch priorities and final prospect selection can remain controlled by the business team.

Operational outcomeTurned manual business discovery into a repeatable weekly prospecting pipeline.

Case study 03Lead Research & Outreach EngineCustom automation system

Lead Research & Outreach Engine

The challengeLead discovery, prospect research, prioritisation, outreach preparation and follow-up tracking were handled as separate tasks, making the overall process fragmented.

The systemAidvex connected the stages into one system that structures lead records, gathers useful research, prepares personalised outreach and tracks progression after contact.

WorkflowLead intake → Research → Qualification → Outreach preparation → Follow-up tracking

Technologyn8n, Google Sheets, Gmail, AI models, Node.js and browser automation

Human controlOutreach can remain draft-only until reviewed, while response stages stay visible to the team.

Operational outcomeCreated one structured operating pipeline instead of several disconnected sales activities.

Case study 04AI Content Production WorkflowCustom automation system

AI Content Production Workflow

The challengeCreating social content involved moving between planning, caption writing, visual generation, video generation, review and publishing preparation with limited visibility across the process.

The systemA controlled workflow was designed to turn a content request into captions and prompts, generate visual or video assets, store status in a database and route outputs through human approval.

WorkflowContent request → AI planning → Asset generation → Database tracking → Human approval → Publishing preparation

Technologyn8n, AI models, creative tools, Supabase, APIs and approval logic

Human controlThe reviewer decides whether an asset is approved, edited, rejected or held before any publishing step.

Operational outcomeConnected content planning, asset creation and review without removing editorial control.

Built for maintainability

A Good Workflow Is More Than a Successful Demo

Delivery should account for credentials, data structure, exceptions, operating instructions and the people who will review or maintain the system after launch.

Controlled access

Credentials and permissions are handled through appropriate platform controls rather than hard-coded into public files.

Visible failures

Error paths and statuses make operational problems easier to identify and resolve.

Documented delivery

The final system can include workflow documentation, operating guidance and handover support.

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