Proof of work

Proof that responsible AI can automate real workflows.

A public evidence layer for Ethical AI Specialists: recruitment automation, RAG systems, document intelligence, analytics pipelines and practical AI training already shaped for Australian organisations.

Map my workflow View engineering portfolio

Evidence

RAG systemsn8n automationArangoDB graph retrievalAWS BedrockAI training

95%

manual data entry reduction pattern across recruitment automation

150+

mortgage and operational documents processed in RAG work

structured call-centre fields extracted per transcript

AI training lessons created for not-for-profit teams

Featured case study

Recruitment / CRM Automation

Client project · Profectus

Recruitment automation and CRM integration for Profectus

Recruitment automation workflows for Profectus, including resume processing, CRM integration and document-to-deal processing patterns that reduce repetitive administration.

Resume processing workflow automation screenshot

Resume processing workflow used to extract and structure candidate information.

Read Profectus case study Recruitment automation

95% reduction in manual data entry

90%+ accuracy pattern for automated deal/email processing

Structured candidate data flow into HubSpot

Reduced repetitive administration for recruitment consultants

More evidence

Other systems, analytics and training work.

Mortgage Broking / Knowledge Retrieval

Client project

AI-powered mortgage broker assistant for eThink Solutions

Mortgage broker assistant interface screenshot

A production-grade RAG and graph retrieval system for the Australian mortgage industry, helping brokers query operational documents with grounded, source-aware responses.

150+ loan documents processed

95%+ accuracy reported on loan document understanding

80% reduction in manual lookup time

AWS BedrockArangoDBn8nAWS LambdaOpenSearchAPI Gateway

Read case study

Insurance / Call Centre Analytics

Live dashboard

Voice of the Customer analytics platform

Voice of the Customer analytics dashboard screenshot

An analytics pipeline for insurance call centre transcripts, extracting structured customer and operational insight for sentiment, churn risk, topic classification and agent performance.

16 structured fields extracted per call

Sentiment journey and churn risk signals generated from transcripts

Dashboard served via webhook

n8nGemini 2.5 FlashArangoDBDockerTraefikChart.js

Read case study

Not-for-Profit / AI Training

Training and guidance

AI training and adoption guidance for Mary MacKillop Today

Confident with AI course overview screenshot

AI training and adoption guidance for an Australian not-for-profit, covering productivity opportunities, ethics and security guidance, staff guidelines and platform selection advice.

Practical AI adoption guidance for an Australian NFP

Staff training focused on safe and useful AI habits

Guidance for ethics, security and platform selection

AI TrainingNFP SectorResponsible AIGuidelinesPlatform Selection

Read case study

Show us the workflow you want to automate.

If one of these patterns resembles your organisation, start with the workflow discovery chat. It captures the bottleneck, systems, data, risk context and next step before the first meeting.

Map my workflow View audit

Ethical AI Specialists

Sydney / Responsible Systems

Book Audit

Proof of work

Proof that responsible AI can automate real workflows.

Map my workflow View engineering portfolio

Evidence

RAG systemsn8n automationArangoDB graph retrievalAWS BedrockAI training

95%

manual data entry reduction pattern across recruitment automation

150+

mortgage and operational documents processed in RAG work

structured call-centre fields extracted per transcript

AI training lessons created for not-for-profit teams

Featured case study

Recruitment / CRM Automation

Client project · Profectus

Recruitment automation and CRM integration for Profectus

Recruitment automation workflows for Profectus, including resume processing, CRM integration and document-to-deal processing patterns that reduce repetitive administration.

Resume processing workflow used to extract and structure candidate information.

Read Profectus case study Recruitment automation

95% reduction in manual data entry

90%+ accuracy pattern for automated deal/email processing

Structured candidate data flow into HubSpot

Reduced repetitive administration for recruitment consultants

More evidence

Other systems, analytics and training work.

Mortgage Broking / Knowledge Retrieval

Client project

AI-powered mortgage broker assistant for eThink Solutions

A production-grade RAG and graph retrieval system for the Australian mortgage industry, helping brokers query operational documents with grounded, source-aware responses.

150+ loan documents processed

95%+ accuracy reported on loan document understanding

80% reduction in manual lookup time

AWS BedrockArangoDBn8nAWS LambdaOpenSearchAPI Gateway

Read case study

Insurance / Call Centre Analytics

Live dashboard

Voice of the Customer analytics platform

An analytics pipeline for insurance call centre transcripts, extracting structured customer and operational insight for sentiment, churn risk, topic classification and agent performance.

16 structured fields extracted per call

Sentiment journey and churn risk signals generated from transcripts

Dashboard served via webhook

n8nGemini 2.5 FlashArangoDBDockerTraefikChart.js

Read case study

Not-for-Profit / AI Training

Training and guidance

AI training and adoption guidance for Mary MacKillop Today

AI training and adoption guidance for an Australian not-for-profit, covering productivity opportunities, ethics and security guidance, staff guidelines and platform selection advice.

Practical AI adoption guidance for an Australian NFP

Staff training focused on safe and useful AI habits

Guidance for ethics, security and platform selection

AI TrainingNFP SectorResponsible AIGuidelinesPlatform Selection

Read case study

Show us the workflow you want to automate.

If one of these patterns resembles your organisation, start with the workflow discovery chat. It captures the bottleneck, systems, data, risk context and next step before the first meeting.

Map my workflow View audit