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Platform Engineering/AI Integrations

AI Integrations

Integrate AI Capabilities into Your Platforms—Chatbots, Agents, RAG, and More

AI integrations bring powerful capabilities to your existing platforms—without building models from scratch. We integrate AI chatbots, agentic workflows, RAG-powered knowledge bases, and document processing into your websites, CRM, and internal systems. We work with leading providers including OpenAI, Claude, and Gemini. At BlendLab, we design and implement AI integrations for organizations in Dubai and across the UAE that want to enhance customer experience, automate workflows, and gain insights from their data.

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Overview

What Are AI Integrations?

AI integrations add intelligent capabilities to your platforms by connecting them to large language models and AI APIs. Instead of training your own models, you leverage proven AI services—chatbots, agents, RAG, document processing—tailored to your use cases.

Capabilities may include
  • AI chatbots and conversational interfaces
  • Agentic workflows and automation
  • RAG (Retrieval Augmented Generation)
  • Document processing and extraction
  • Content generation and translation
  • Voice and speech AI
  • Lead scoring and classification
Built with
  • Leading AI providers (OpenAI, Claude, Gemini)
  • Your data and knowledge base
  • Your workflows and tools
  • Full control over prompts and logic

We integrate AI where it adds value—without rebuilding your platform from scratch.

Capabilities

AI Capabilities We Integrate

We implement a range of AI-powered features tailored to your use cases.

AI Chatbot

Conversational interfaces for customer support, FAQs, and engagement. Handles common questions, collects info, and escalates to humans when needed. Can be embedded on your website, app, or messaging channels.

Agentic AI

AI agents that perform multi-step tasks—book appointments, send emails, query databases, trigger workflows. Use tools and make decisions autonomously within defined boundaries.

RAG (Retrieval Augmented Generation)

Combine your documents, FAQs, and knowledge base with an LLM. The system retrieves relevant content and generates accurate, context-aware answers—ideal for support, internal docs, and product catalogs.

Document AI

Extract data from contracts, forms, invoices, and reports. Summarize, classify, and structure unstructured documents for downstream workflows.

Content & Language

Generate marketing copy, translate content, improve writing style, and create variations. Supports multiple languages including Arabic.

Voice & Speech AI

Speech-to-text, text-to-speech, and voice interfaces. Build voice assistants, transcribe calls and meetings, or add voice input/output to your applications.

Providers

AI Service Providers We Work With

We integrate with leading AI providers. We select the right one based on your requirements—cost, performance, language support, and privacy.

OpenAI

GPT-5.1, GPT-5.2, DALL-E. Widely used, strong ecosystem, broad language support.

GPT-5.1 / GPT-5.2DALL-E (images)

Anthropic (Claude)

Sonnet 4.6, Opus 4.6, Haiku 4.5. Known for safety, long context windows, and nuanced responses.

Sonnet 4.6Opus 4.6Haiku 4.5

Google (Gemini)

Gemini 3 Pro, Nano Banana Pro, Gemini Flash. Strong integration with Google Cloud and Workspace.

Gemini 3 ProNano Banana ProGemini Flash

Mistral AI

Efficient open and proprietary models. Good balance of performance and cost.

Mistral LargeMixtralOCR (text recognition)

xAI

Grok models by xAI. Real-time knowledge, strong reasoning, and integration with X (Twitter) for current events.

Grok 4Grok 4.1Real-time data

Azure OpenAI / AWS Bedrock

Enterprise hosting of OpenAI and other models. Regional deployment, compliance, and data residency.

Azure OpenAIAWS BedrockRegional hosting

We recommend the provider and model based on your use case, budget, and data residency requirements. Multi-provider setups are possible for fallbacks and redundancy.

Context

Why Businesses Integrate AI

AI integration can enhance customer experience, automate repetitive tasks, and unlock insights from your data—without the cost of building models from scratch.

Common drivers

24/7 customer supportAutomated lead qualificationDocument processing at scaleSearchable knowledge basesContent generationCompetitive differentiation

AI integration lets you add intelligence to existing platforms quickly—faster and more cost-effective than training custom models for most use cases.

Comparison

Custom AI Build vs AI API Integration

Understanding the difference helps you choose the right approach.

CriteriaCustom AI BuildAI API Integration
Time to LaunchMonths to yearsWeeks to months
Initial CostHigh—data, training, infrastructureLower—pay per use
MaintenanceYou maintain models and infraProvider handles model updates
FlexibilityFull control over modelUse best-in-class models, customize prompts
Best ForUnique domains, proprietary dataMost business use cases
Use Cases

Common Use Cases

AI integrations are used across industries and workflows.

Customer Support Chatbot

24/7 conversational support on your website or app. Answers FAQs, collects details, and escalates to agents when needed.

RAG-Powered Knowledge Base

Search and ask questions against your docs, products, and policies. Returns accurate answers grounded in your content.

Agentic Workflows

AI agents that complete multi-step tasks—booking, data lookup, notifications—using your tools and APIs.

Document Processing & Extraction

Extract structured data from invoices, contracts, forms. Summarize reports and classify documents automatically.

Lead Scoring & Qualification

Score and qualify leads based on behavior and responses. Route high-value leads and suggest next steps.

Content Generation & Translation

Generate marketing copy, translate content, create variations. Support Arabic and multilingual campaigns.

Tech

Technical Capabilities

We implement integrations with the right architecture for your use case.

Chatbot & Conversational

Chatbot development

Rule-based + LLM, context handling, escalation logic.

Multi-channel

Website, WhatsApp, in-app, or your preferred channel.

RAG & Knowledge

RAG pipelines

Embeddings, vector DB, retrieval, prompt design.

Knowledge ingestion

Index your docs, FAQs, products for search and Q&A.

Agents & Automation

Agent design

Tools, memory, orchestration, error handling.

Multi-provider support

OpenAI, Claude, Gemini—fallbacks and redundancy.

Production

Fallbacks & rate limiting

Graceful degradation when APIs are slow or down.

Monitoring & cost control

Track usage, latency, and spend across providers.

Integration

Where We Integrate AI

We add AI capabilities to your existing platforms and touchpoints.

Website

Chatbot, smart search, recommendations.

Chat widgetSearchProduct Q&ALead capture

CRM

Lead scoring, summaries, suggestions.

Lead scoringConversation summariesNext best actionData enrichment

Internal Systems

Document processing, assistants, automation.

Doc processingInternal Q&AWorkflow triggersReporting

Knowledge Bases

RAG on your content.

FAQsProduct docsPoliciesTraining materials
Industries

Industry Applications

AI integrations across sectors:

Healthcare

Patient assistants, medical summaries, appointment FAQs, symptom triage.

Real Estate

Property Q&A, inquiry handling, recommendations, RAG on listings.

Education

Interactive learning, student Q&A, RAG on curriculum, content generation.

Legal & Professional Services

Document summarization, contract review, research assistance, drafting.

E-commerce

Product Q&A, recommendations, support chatbot, content generation.

Media

Content generation, translation, summarization, tagging.

Process

Development Approach

Our integration process typically includes:

1

Discovery & Use Case Definition

We define your goals, use cases, data sources, and success metrics.

2

Provider & Model Selection

We select the AI provider and model based on cost, performance, and privacy.

3

Architecture Design

We design the integration—Chatbot, Agent, or RAG—and data flow.

4

Integration Development

We build the integration, implement prompts, and connect to your systems.

5

Testing & Iteration

We test with real data, refine prompts, and optimize for accuracy and cost.

6

Deployment & Monitoring

We deploy to production and set up monitoring for usage and performance.

Timeline varies by scope—from weeks for a simple chatbot to months for complex RAG or agentic systems.

Security

Data Privacy & Security

We design integrations with data privacy and security in mind.

Privacy

  • Data minimization—send only what's needed
  • Regional hosting options (Azure, AWS) for data residency
  • Avoid storing sensitive data in prompts where possible
  • GDPR-aligned approaches where applicable

Security

  • Secure API key management
  • Rate limiting and abuse prevention
  • Audit logging for compliance
  • Fallbacks when APIs are unavailable
Engagement

Pricing & Engagement Model

We offer flexible engagement options. AI API costs (OpenAI, Claude, etc.) are billed separately by the provider.

Fixed-Project Pricing

A defined scope with a fixed price and timeline. Ideal for well-specified use cases like a chatbot or RAG system.

Time & Materials

Billed by the hour or sprint. Suited for exploratory or evolving requirements.

Maintenance & Optimization

Ongoing support, prompt tuning, and cost optimization after launch.

We discuss your needs and provide cost estimates for both development and expected AI API usage.

Explore

Related Platform Services

You may also explore:

Platform Engineering OverviewCustom Web ApplicationsInternal Business SystemsCRM System DevelopmentMobile App Development
FAQ

Frequently Asked Questions

Ready to Integrate AI into Your Platform?

Let's discuss how we can add AI capabilities—chatbots, agents, RAG, or document processing—to your systems.

Get Started

Ready to Get Started?

Let's discuss how we can help bring your vision to life.

Contact Us

Our Offices

Sharjah Office

Sharjah, United Arab Emirates

Dubai Office

Dubai, United Arab Emirates