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NextAGP

AI Automation & Assistants

AI that handles the repetitive conversations and paperwork, so your people handle the decisions.

We build AI assistants for businesses in Oman that answer common questions on WhatsApp and your website in Arabic and English, qualify enquiries, read incoming documents and prepare replies. Your team reviews, approves and steps in whenever judgement is needed.

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The problem

The same questions, the same documents, every single day.

  • Staff spend the first hour of every morning answering "what are your prices" and "are you open on Friday" on WhatsApp.
  • Enquiries in Arabic wait for the one person who writes Arabic well, and English enquiries wait for someone else.
  • Supplier quotations, tender documents and invoices arrive as PDFs and someone retypes the numbers into a spreadsheet.
  • Serious buyers and casual browsers get the same slow treatment because nobody has time to sort them.
  • Long email threads and meeting notes never get summarised, so decisions are made from memory.

Our approach

Assistants with a clear job, clear limits and a person behind them.

Each assistant is trained on your services, prices, policies and tone, in both languages. It handles what it is confident about, hands anything else to your team with a summary, and every action it takes is logged and reviewable. We start small, measure accuracy, and expand only when you are satisfied.

  • Answers grounded in your own documents and price lists, not in general internet knowledge.
  • Natural Arabic and English, including Gulf dialect in WhatsApp conversations where appropriate.
  • Clear escalation rules: pricing exceptions, complaints and anything uncertain go to a named person.
  • Review queues and approval steps so drafts are checked before they reach a customer.

What we build

Bilingual customer assistants

On WhatsApp and your website: answering questions about services, prices, locations, hours and availability, and booking or collecting details when appropriate.

Lead qualification

Asking the right first questions, scoring each enquiry, and routing hot leads to sales with a summary while the rest get a helpful reply.

Document and quotation processing

Reading incoming PDFs, invoices, tender documents and supplier quotes, extracting the data, and preparing comparisons or entries for your system.

Drafting and summarising

Draft replies to emails and enquiries, summaries of long threads, calls and reports, ready for a person to edit and send.

Task routing and internal agents

Reading incoming requests, classifying them, creating tasks in the right system and assigning them to the right person.

Knowledge assistants for staff

An internal assistant that answers staff questions from your policies, manuals and past projects, in either language.

What it means for your business

Customers get answers at any hour

Common questions are answered immediately in the customer's language, and the ones that need a person are waiting with context when the team arrives.

Sales talk to the right people first

Qualified, summarised leads reach the team; browsers get a polite, useful reply without consuming sales time.

Paperwork stops being retyped

Quotes, invoices and forms are read once by the assistant and checked once by a person.

You stay in control

Every answer and action is logged. You see what the assistant did, correct it, and tighten or loosen its limits over time.

Examples

What an AI-assisted flow looks like

Real estate enquiry on WhatsApp

  1. Buyer asks about a 2-bedroom in Al Mouj in Arabic
  2. Assistant replies with matching units and asks about budget and timing
  3. Lead scored and summarised for the agent
  4. Agent calls back with the full context in front of them

Supplier quotation for a factory

  1. Three supplier PDFs arrive by email
  2. Assistant extracts items, prices, lead times and terms
  3. Comparison table prepared and flagged for review
  4. Procurement manager approves and the order is raised

Clinic front desk

  1. Patient asks about a service and available times
  2. Assistant answers from the clinic's own information and offers slots
  3. Booking recorded and confirmation sent
  4. Medical questions handed to a nurse with the chat summary

Process

How an AI project runs

  1. 01

    Find the right first use

    We look at your real conversations and documents and pick one task that is frequent, well defined and low risk.

  2. 02

    Gather the knowledge

    Prices, policies, FAQs, past replies and documents, cleaned and organised in Arabic and English.

  3. 03

    Define the rules

    What the assistant may answer, what it must escalate, how it should sound, and who reviews what.

  4. 04

    Build and test on history

    We run the assistant against hundreds of past enquiries or documents and measure accuracy with your team before any customer sees it.

  5. 05

    Supervised launch

    Live with a person reviewing every response for the first weeks, then gradually reducing review as confidence grows.

  6. 06

    Measure and extend

    Monthly reporting on volume, accuracy and escalations, and a plan for the next task worth automating.

Under the hood

We use established language models from major providers through their official APIs, connected to your own data with retrieval so answers stay grounded. Your data is not used to train public models, and everything is logged in a database you own.

  • Anthropic Claude and OpenAI models via API
  • Retrieval-augmented generation (RAG)
  • WhatsApp Business API
  • n8n or custom Node.js orchestration
  • PostgreSQL with vector search
  • Human review dashboards
  • Audit logging

Frequently asked questions

Which repetitive task would you hand over first?

Share a sample of your enquiries or documents and we will tell you honestly what an assistant can handle today and what should stay with your team.