Nora Anabiri | Verified AI Builder

About Nora

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.

Professional profile

Location: Nigeria

Proven on the network

Implementation records and publicly available work, where published.

3 AI Deployments delivered, including 3 publicly identified implementations available to inspect.

Reported business outcomes

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.

What Nora builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Workflow Automation

Builder-listed deployment types

AI Agent
AI Receptionist (Voice)
Chatbot
Conversational AI
Customer Service Automation
Customer Support Agent
Healthcare AI
Knowledge Assistant
Process Automation
RAG System
Self-Service Assistant
Voice Agent
Workflow Automation

Show all deployment types

Process Automation
RAG System
Self-Service Assistant
Voice Agent
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

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.

25 hours automated

Restaurants & Food Service · AI Receptionist (Voice) · Conversational AI · Customer Service Automation · Self-Service Assistant · Voice Agent · Workflow Automation

View Deployment

02 / AI DeploymentPublished record

WhatsApp 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.

30 hours automated

Digital Health · Chatbot · Conversational AI · Customer Support Agent · Healthcare AI · Process Automation · Self-Service Assistant · Workflow Automation

View Deployment

03 / AI DeploymentPublished record

RAG-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.

20 hours automated

Professional Services · AI Agent · Conversational AI · Customer Support Agent · Healthcare AI · Knowledge Assistant · RAG System · Self-Service Assistant · Workflow Automation

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

Workflow Automation6 records
AI Agent2 records
AI Receptionist (Voice)2 records
Chatbot2 records
Conversational AI6 records
Customer Service Automation2 records
Customer Support Agent4 records
Healthcare AI4 records
Knowledge Assistant2 records
Process Automation2 records
RAG System2 records
Self-Service Assistant6 records
Voice Agent2 records

Show all evidence-supported capabilities

Customer Support Agent 4 records
Healthcare AI 4 records
Knowledge Assistant 2 records
Process Automation 2 records
RAG System 2 records
Self-Service Assistant 6 records
Voice Agent 2 records

Builder declared

No additional declared items.

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

Airtable AI4 records
Cloudflare2 records
ElevenLabs2 records
Lovable2 records
Pinecone2 records
Vapi2 records
n8n6 records

Builder declared

Claude Code
Make
Softr
Supabase Vector
Tally

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Digital Health

1 published Deployment

Professional Services

1 published Deployment

Restaurants & Food Service

1 published Deployment

Education

Builder declared

Healthcare Providers

Builder declared

Software & SaaS

Builder declared

Sports & Events

Builder declared

Case Studies

Published narratives of implementation and results.

Restaurants & Food Service · AI Receptionist (Voice) · Conversational AI · Customer Service Automation · Self-Service Assistant · Voice Agent · Workflow Automation

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.

Read case study

Digital Health · Chatbot · Conversational AI · Customer Support Agent · Healthcare AI · Process Automation · Self-Service Assistant · Workflow Automation

How 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.

Read case study

IT Services & Systems Integration · AI Agent · Conversational AI · Customer Support Agent · Healthcare AI · Knowledge Assistant · RAG System · Self-Service Assistant · Workflow Automation

How 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.

Read case study

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Verified Builder

AI Case Studies verified

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works

Verified

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

AI Case Studies Verified

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

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