Measured business impact
Outcomes reported against approved AI implementations, presented for executive review.
- Hours Automated
- —
- Cost Savings
- —
- Revenue Impact
- —
- AI Deployments
- 3
- Published Case Studies
- 1
Operational hours recovered through verified AI deployments.
Verified operating cost reductions delivered for client organisations.
Revenue created or protected through deployed AI solutions.
Implementations reviewed and approved against the Evidence Standard.
Documented implementations with published business outcomes.
- VerificationVerified
- SpecialisationMulti-Agent Systems
- AI Deployments3
- AI Case Studies1
- Industries Served3
- LocationPhilippines
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Top business outcomes
Reported by the builder on the record that produced them, in the original reporting period. Nothing is annualised or converted.
This builder has not reported measurable business outcomes yet.
Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.
Capabilities: declared and demonstrated
18 of 43 listed capabilities are supported by an approved deployment or published case study on this platform. The rest are Builder-declared and are not presented as verified.
Implementation capability
- Multi-Agent Systems1
- AI Agent2
- AI Orchestration1
- Chatbot1
- Conversational AI1
- Data Extraction1
- Knowledge Assistant2
- Operations Automation1
- Process Automation1
- Proposal Generation1
- RAG System1
- Task Automation1
- Voice Agent1
Technologies
- AWS
- Adobe Firefly Image
- Airtable AI
- Atlassian Intelligence
- BigQuery
- CapCut
- Claude Code1
- Cloudflare
- ComfyUI
- Discord
- Docker
- Gemini 2.5 Pro
- Gemini Fine-tuning
- Google AI Studio
- Google Analytics
- Google Cloud
- Gumloop
- Hugging Face AutoTrain
- Instagram Messaging
- LINE
- Make
- Node.js
- OpenAI Agents SDK
- OpenRouter
- Supabase Vector1
- Zapier
- n8n2
Industries
- Insurance
- E-Commerce1
- IT Services & Systems Integration1
AI Deployments (3)
Technical implementation records: what was built, the technologies used and the scope delivered. Each was reviewed before publication.
Sales data pipeline
An automated sales data pipeline that fetches, transforms, validates, analyzes, and reports sales data, providing real-time regional insights and reducing manual reporting effort.
By Adrian CatahanBASIC RAG // Company knowledgebase AI
AI-powered chat assistant that answers questions about documents such as handbooks, policies, support articles, and technical documentation by retrieving relevant information from a custom knowledge base, delivering accurate, context-aware responses while minimizing AI hallucinations.
By Adrian Catahan6 Multi-Agent AI Job/Project hunt automation
AI-powered job application automation platform built with n8n. It streamlines the entire job application process by using specialized AI agents that work together to search for jobs, analyze opportunities, create tailored application materials, and organize completed applications. The system follows a modular architecture where each agent is responsible for a specific stage of the workflow, making the automation scalable, maintainable, and easy to extend.
By Adrian CatahanAI Case Studies (1)
Business stories: the problem, the approach and the measured result for the organisation. Each is published with its supporting evidence.
About
AI Automation Specialist focused on building intelligent workflows, AI agents, and business process automations. Experienced with n8n, Python, OpenAI APIs, RAG systems, REST APIs, webhooks, and workflow orchestration. Skilled in integrating CRMs, databases, and third-party services to create scalable automation solutions that reduce manual work and improve operational efficiency. Passionate about developing reliable AI-powered systems, custom assistants, and end-to-end automations that help businesses streamline operations, enhance customer experiences, and make better use of AI technologies. I enjoy solving complex technical challenges and delivering practical solutions that create measurable business impact.
Ready to discuss your AI implementation?
Tell Adrian Catahan what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.