AI Agents
Agents that take actions across your tools: triage requests, update records, draft replies and follow up.
Practical AI for Real Business Workflows
AI Development and AI Agents That Do Real Work
We add AI where it pays off: agents that handle repetitive operational tasks, assistants that answer customers in Arabic and English, and models that read, classify and extract data from your documents — connected securely to the systems you already run.
Product Flow
AI Development & AI Agents
Workflow Automation Agents
Customer Support Assistants
Knowledge Search (RAG)
Solutions
AI That Fits Into Your Existing Systems
Most AI projects fail because they stay as demos. We start from a concrete workflow, measure the manual effort it takes today, and build an AI feature or agent that plugs into your CRM, ERP, website or internal tools with clear guardrails, human review where it matters, and costs you can predict.
Built for
- Real Estate
- Logistics
- Healthcare
- Retail & E-commerce
Problems We Solve
We turn messy operational needs into clear, usable software that can scale.
Arabic & English Chatbots
Assistants grounded in your own content that understand Gulf, Egyptian and Modern Standard Arabic.
Document Intelligence
Extract data from invoices, contracts, IDs and forms, including scanned Arabic documents.
Secure by Design
Role-based access, data minimisation, audit logs and options for regional or private hosting.
Product Capabilities
Practical building blocks selected around the product, not a generic feature list.
Workflow Automation Agents
Agents that read incoming emails, tickets or orders and complete the routine steps in your systems.
Customer Support Assistants
Website and WhatsApp assistants that answer from your knowledge base and hand over to your team.
Knowledge Search (RAG)
Ask questions across policies, manuals and past projects and get cited answers in seconds.
Document Processing & OCR
Turn PDFs, scans and images into structured data that flows into your ERP or CRM.
LLM Integration in Existing Apps
Add summarisation, drafting, classification or smart search to software you already own.
Evaluation & Monitoring
Test sets, quality scoring, cost tracking and human feedback loops after launch.
Development Approach
A structured delivery path from discovery and architecture through launch and support.
01
Use-Case Discovery
We pick the workflow where AI saves the most time and define what a good answer or action looks like.
- Prioritised use cases
- Success criteria
- Data & risk review
02
Proof of Concept
A working prototype on your real data, measured against an agreed test set.
- Working prototype
- Accuracy report
- Model & cost choice
03
Integration & Build
We connect the AI to your systems with permissions, guardrails and a review interface.
- System integrations
- Admin & review UI
- Guardrails
04
Testing & Safety
Quality, security and edge-case testing, including Arabic dialect and mixed-language inputs.
- Evaluation results
- Security review
- Fallback flows
05
Launch & Improve
Production rollout with monitoring, usage and cost dashboards, and continuous tuning.
- Production rollout
- Monitoring
- Improvement backlog
Where This Solution Fits
Typical industries and use cases where this kind of product creates leverage.
Real Estate
Lead qualification, listing descriptions and buyer Q&A in Arabic and English.
Logistics
Shipment status assistants, document extraction and exception handling agents.
Healthcare
Appointment assistants and admin automation with strict privacy controls.
Retail & E-commerce
Product Q&A, catalog enrichment and order-support assistants.
Financial Services
KYC document processing, internal knowledge search and report drafting.
Professional Services
Proposal drafting, contract review support and meeting summaries.
Qncept
Why Qncept
Maintainable architecture
Clean structure, service boundaries, and product logic that can evolve after launch.
Secure access control
Role-aware experiences, authentication flows, and admin workflows built with production use in mind.
API-first integrations
Backend systems designed to connect with payments, dashboards, operations, and third-party services.
Bilingual product support
Interfaces and content patterns that support English and Arabic product experiences.
Production-Ready Technology
A restrained, proven stack for maintainable, scalable product delivery.
AI Models
AI Engineering
Backend
Cloud & Security
Frequently Asked Questions
What is an AI agent and how is it different from a chatbot?
A chatbot answers questions. An AI agent can also take actions: it reads a request, decides the next step, and uses your systems (CRM, ERP, email, databases) to complete it, with human approval wherever you require it.
Can your AI solutions understand Arabic dialects?
Yes. Current large language models handle Modern Standard Arabic and common dialects such as Gulf and Egyptian well. We test every solution on real Arabic and mixed Arabic-English inputs from your users before launch.
Is our data safe when using AI models?
We use enterprise API terms where providers do not train on your data, send only the data a task needs, apply role-based access and logging, and can deploy on regional cloud or open-source models when data must stay in-country.
How long does an AI project take?
A focused proof of concept usually takes 2 to 4 weeks. A production-ready agent or assistant integrated with your systems typically takes 6 to 12 weeks, depending on integrations and review requirements.
Can you add AI to software we already have?
Yes. Many projects add AI features such as smart search, summarisation, document extraction or an assistant to an existing CRM, ERP, website or mobile app through APIs, without rebuilding the system.
What does it cost to run AI in production?
Running costs depend on usage volume and the model chosen. We estimate monthly costs during the proof of concept, choose the smallest model that meets your quality bar, and add usage dashboards so costs stay predictable.
AI Development & AI Agents
Have a Workflow AI Could Take Off Your Team's Plate?
Tell us about the process, and we will suggest where AI fits, what it would take to build, and how to measure whether it works.