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AK Technolabs, D-9 , Hosiery Complex , Phase-2, Noida (U.P.), Pin Code - 201305

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+91 - 7769973923

Technology

Embed intelligence into your apps, workflows, and systems—without disrupting your operations

Why Integration Matters More Than Algorithms

Even the most advanced AI model is useless if it can’t plug into your business. Success comes not just from building great models, but from integrating them into the tools your teams already use.

At AK Technolabs, we make AI work where it matters most—inside your CRM, ERP, customer-facing apps, or backend systems. With deep experience across cloud platforms, APIs, and enterprise stacks, we help you deploy and embed intelligence in ways that drive results, not confusion.

What We Offer in AI Integration

Our integration services ensure your AI solutions are production-ready, scalable, and actionable from Day 1.

  • API Development & Deployment
    Wrap ML models into RESTful or GraphQL APIs for consumption across web, mobile, or backend systems.
  • Cloud-Based AI Deployment
    Set up secure, scalable endpoints using AWS SageMaker, Google Vertex AI, Azure ML, or custom Docker-based deployments.
  • System Integration
    Embed AI into ERP (SAP, Oracle), CRM (Salesforce, HubSpot), marketing stacks, and e-commerce platforms.
  • Real-time & Batch Inference
    Choose from real-time processing for fast feedback or batch pipelines for scheduled insights.
  • Monitoring & Version Control
    Track model usage, prediction accuracy, drift detection, and manage versioned rollouts with CI/CD pipelines.
  • Custom Middleware & Adapters
    Build middleware to connect models with legacy systems, databases, or low-code tools.

Case Study: Real-Time Lead Scoring Integration for an EdTech Platform

Client: Fast-growing EdTech startup offering live online courses
Objective: Score incoming leads in real-time to prioritize high-value prospects for sales outreach
Challenges: Multiple data sources (website, email, ads), manual lead sorting, limited technical bandwidth
Duration: 5 weeks
Stack: Python Flask, Firebase, Google Cloud Run, HubSpot API, BigQuery

Integration Process

  1. Model Wrapping
    Converted an in-house lead scoring model into a Flask API with pre- and post-processing logic.
  2. API Hosting
    Deployed the service on Google Cloud Run with autoscaling and endpoint security using OAuth2.
  3. CRM Integration
    Connected API to HubSpot using their webhook & custom workflow features. Scores were updated in real-time on each lead record.
  4. Lead Prioritization Dashboard
    Built a lightweight internal dashboard in React for sales teams to view and filter scored leads.
  5. Fallback Mechanisms
    Added logic to handle API timeouts, and default score caching via Firebase for offline scenarios.

Results & Metrics

  • Real-time scoring latency under 500ms
  • 3X faster lead response times from sales reps
  • 22% increase in lead-to-demo conversions
  • Sales team reported higher confidence in follow-ups based on predictive scoring

Why It Works

Great AI isn’t just smart—it’s invisible. The best integrations happen quietly in the background, supporting your teams and delighting your users without disrupting their flow.

At AK Technolabs, we specialize in frictionless AI integration—whether that’s through APIs, embedded intelligence in your apps, or custom middleware for enterprise systems.

Want to see how AI could be embedded into your current systems?
Talk to our experts or explore our AI App Development Services.

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