Measured business impact
Outcomes reported against approved AI implementations, presented for executive review.
- Hours Automated
- 4 hours
- Cost Savings
- USD 300
- Revenue Impact
- —
- AI Deployments
- 1
- Published Case Studies
- 0
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
- SpecialisationBusiness Intelligence
- AI Deployments1
- Client Portfolio1 client
- Industries Served1
- Response TimeWithin a few hours
- AvailabilityAvailable Now
- LocationIndonesia
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.
- Hours Automated4 hours
period not specified
Automated 4 hours (period not specified)
- Cost SavingsUSD 300
period not specified
Reduced operating costs by USD 300 (period not specified)
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
8 of 20 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
- Business Intelligence
- Forecasting & Predictive Modelling
- RAG Systems
- AI Agent1
- Knowledge Assistant1
- RAG System1
Technologies
- Amazon Bedrock
- Amazon ECS
- Amazon EKS
- Claude 4.5 Sonnet
- Claude Code
- Cline
- DeepSeek R1
- DeepSeek V31
- Docker
- Go
- PostgreSQL1
- Python1
- TypeScript1
Industries
- Fashion & Apparel1
AI Deployments (1)
Technical implementation records: what was built, the technologies used and the scope delivered. Each was reviewed before publication.
Client Portfolio
Portfolio startedRanna Cosmetic
Ranna Assitant • Fashion & Apparel
Indonesia2026Developed Ranna Assistant, an AI-powered inventory agent integrated with Olsera POS to streamline warehouse receiving and automated stock replenishment for Ranna Cosmetic. By analyzing historical internal sales data rather than external trends, it calculates daily sales probability forecasts and identifies critical items needing reorder to optimize stock levels and accelerate operational workflows.
About
Senior DevOps & SRE Specialist bridging cloud infrastructure with AI integration. Focused on building resilient, scalable systems, automated CI/CD pipelines, and high-performance backend architectures. Expertise spans Kubernetes, AWS, Go, Python, and integrating LLMs/AI agents into production environments.
Ready to discuss your AI implementation?
Tell Hary Setiawan 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.