Nabad نبض
العربية
AI Agents Custom Agent Framework

The Nabad
Agent Framework.

How Nabad designs and delivers custom AI agents, in a structured, safe, and repeatable way. Seven stages, each with a clear deliverable.

The framework exists so AI projects do not become open-ended experiments. We start with one workflow, prove its value, and expand only when the first agent has earned it.

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Seven stages

From first conversation
to a measured result.

Stage 1

Discover

Understand the customer's business, workflows, pain points, and repetitive tasks.

  • Identify the customer's channels
  • Map current workflows
  • Review common enquiries
  • Identify bottlenecks
  • Define success metrics
  • Classify the risk level
DeliverableAI Opportunity Map
Stage 2

Define

Select one specific workflow to automate first.

  • Define the agent's role
  • Define users and stakeholders
  • Define what the agent can and cannot do
  • Define escalation rules
  • Define human approval requirements
  • Define data sources and integrations
DeliverableAgent Scope Document
Stage 3

Design

Create the blueprint for the AI agent.

  • Design the conversation flow
  • Design the workflow logic
  • Define knowledge sources
  • Define tools and integrations
  • Define safety rules
  • Define tone of voice
  • Define Arabic and English requirements
DeliverableAgent Blueprint
Stage 4

Build

Develop the first working version of the agent.

  • Configure the AI model
  • Connect approved knowledge sources
  • Build the workflow actions
  • Connect forms, CRM, sheets, WhatsApp, website chat, booking tools, or internal systems
  • Create admin controls
  • Set up logs and monitoring
DeliverableWorking Prototype
Stage 5

Test

Make sure the agent is useful, safe, and accurate.

  • Test common user scenarios
  • Test edge cases
  • Test Arabic and English responses
  • Test escalation behaviour
  • Test source citations
  • Test incorrect or risky requests
  • Collect user feedback
DeliverablePilot Test Report
Stage 6

Deploy

Launch the agent in a controlled environment.

  • Limited launch
  • Staff training
  • Human review mode
  • Usage monitoring
  • Issue tracking
  • Customer feedback
  • Performance reporting
DeliverableControlled Pilot Deployment
Stage 7

Improve

Continuously improve performance and business value.

  • Review conversation logs
  • Update the knowledge base
  • Improve workflows
  • Add integrations
  • Measure return on investment
  • Expand to additional use cases
DeliverableMonthly Optimisation Report
Core principles

The rules the framework
never breaks.

01

Start with one workflow, not the whole business.

02

Keep humans in control.

03

Use approved data sources only.

04

Provide source-grounded answers wherever possible.

05

Log important actions.

06

Escalate uncertain or sensitive cases.

07

Measure business outcomes, not activity.

08

Expand only after the first workflow proves value.

Stage 1 starts with a conversation.

An AI Workflow Audit is how Discover begins: a short, practical session to map where an agent can help first.

Request an AI Workflow Audit