Measured business impact
Outcomes reported against approved AI implementations, presented for executive review.
- Hours Automated
- 75 hours
- Cost Savings
- —
- Revenue Impact
- —
- AI Deployments
- 3
- Published Case Studies
- 3
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
- SpecialisationWorkflow Automation
- AI Deployments3
- AI Case Studies3
- Industries Served5
- LocationNigeria
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 Automated75 hours
period not specified
Automated 75 hours (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.
Business Outcome Highlights
Measured outcomes taken from published AI Case Studies, shown with the reporting period the builder stated. Each figure links to its case study.
Capabilities: declared and demonstrated
21 of 30 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
- Workflow Automation6
- AI Agent2
- AI Receptionist (Voice)2
- Chatbot2
- Conversational AI6
- Customer Service Automation2
- Customer Support Agent4
- Healthcare AI4
- Knowledge Assistant2
- Process Automation2
- RAG System2
- Self-Service Assistant6
- Voice Agent2
Technologies
- Airtable AI4
- Claude Code
- Cloudflare2
- ElevenLabs2
- Lovable2
- Make
- Pinecone2
- Softr
- Supabase Vector
- Tally
- Vapi2
- n8n6
Industries
- Healthcare Providers
- Restaurants & Food Service2
- Education
- Sports & Events
- Software & SaaS
AI Deployments (3)
Technical implementation records: what was built, the technologies used and the scope delivered. Each was reviewed before publication.
Voice AI Ordering System for Restaurant
Built a voice AI ordering system for a restaurant that lets customers place orders by speaking naturally. The system uses Vapi for voice handling, ElevenLabs for realistic voice synthesis, GPT-4.1 for conversation intelligence, and n8n to process and log orders into Airtable.
By Nora AnabiriWhatsApp Clinic Automation System with 5 n8n Workflows
Built a 5-workflow WhatsApp automation system for a clinic using n8n, Gemini, GreenAPI, Supabase, and Lovable. The system handles patient intake, appointment booking, reminders, follow-ups, and FAQ responses end to end.
By Nora AnabiriRAG-Powered WhatsApp AI Agent for Private Medical Centre
Built a WhatsApp-based AI agent for a private medical centre that answers patient questions using retrieval-augmented generation. The system pulls accurate answers from the clinic's own knowledge base instead of hallucinating responses.
By Nora AnabiriAI Case Studies (3)
Business stories: the problem, the approach and the measured result for the organisation. Each is published with its supporting evidence.
How I Built a Voice AI Ordering System for a Restaurant
Built a voice AI system that handles inbound customer calls for a restaurant, takes orders through natural conversation, and logs them automatically to Airtable. Customers call, speak their order, and receive confirmation without any staff involvement.
By Nora AnabiriHow I Built a 5-Workflow WhatsApp Automation System for a Clinic
Built a fully automated patient communication system for a clinic using 5 connected n8n workflows. The system handles intake, appointment confirmation, reminders, follow-ups, and FAQ responses entirely through WhatsApp without staff involvement.
By Nora AnabiriHow I Built a RAG-Powered WhatsApp AI Agent for a Private Medical Centre
Built a WhatsApp AI agent for a private medical centre that answers patient inquiries using retrieval-augmented generation. The system retrieves accurate answers from the clinic's own knowledge base via Pinecone and responds through WhatsApp in under 5 seconds.
By Nora AnabiriAbout
AI Automation Specialist building production-ready workflow systems for clinics, restaurants, and service businesses. I design and deploy end-to-end automations using n8n, Gemini AI, Vapi, and WhatsApp via GreenAPI. My work spans RAG-powered AI agents, voice ordering systems, appointment booking flows, and patient intake automation. Available for freelance projects, consulting, and remote roles.
Ready to discuss your AI implementation?
Tell Nora Anabiri 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.