AI integration

AI integration services

You don’t need to rebuild your product to benefit from AI. We connect proven AI models to the systems you already run, so your team gets smarter features where they already work.

All services
  • OpenAI API
  • Anthropic API
  • Gemini API
  • Azure AI
  • Google Vertex AI
  • REST & GraphQL

Overview

AI Integration, explained.

AI integration means adding capabilities such as summarisation, search, classification, extraction, recommendations or conversational help to existing software through APIs, without replacing that software. It is usually the fastest and lowest-risk way for an established business to get value from AI.

The engineering challenge is the connection itself: getting the right data to the model at the right moment, respecting user permissions, handling failures gracefully, keeping latency low and making sure costs stay predictable as usage grows.

theBlume integrates models from OpenAI, Anthropic, Google, Microsoft Azure and open-source providers into web platforms, mobile apps, learning management systems, CRMs, ERPs and internal tools. Our experience building our own LMS and apps means we understand both sides: the AI and the product it lives in.

What we deliver

AI Integration services we deliver.

  • AI in your CRM & ERP

    Automatic summaries, next-step suggestions, data clean-up and smart search inside the business systems your team uses.

  • AI for websites & apps

    Natural-language search, personalised recommendations and in-app assistants added to existing web and mobile products.

  • AI for learning platforms

    Question generation, feedback on answers, learner insights and tutoring assistants for LMS and EdTech products.

  • Document AI pipelines

    Extract fields from invoices, forms, receipts and contracts and push clean data into your existing workflows.

  • Secure API layer

    A gateway that handles authentication, permissions, redaction, rate limits, caching and provider fail-over.

  • Cost & usage controls

    Per-feature budgets, caching and model routing so the AI bill stays proportional to the value delivered.

Use cases

Where it creates real value.

  • SaaS products

    An “ask your data” assistant and automatic summaries shipped as new features to existing customers.

  • Education & LMS

    AI-generated practice questions and personalised revision suggestions inside an existing course platform.

  • Logistics

    Email and document intake that extracts shipment details and updates the transport management system automatically.

  • Real estate

    Listing descriptions, lead qualification and enquiry summaries flowing straight into the CRM.

How we deliver

A clear path from idea to launch.

  1. Audit the system & data

    We review your architecture, data access, privacy obligations and where AI would remove the most friction.

  2. Design the integration

    API contracts, permission model, fallbacks and the exact user experience are agreed before coding starts.

  3. Build behind a flag

    The AI feature ships behind a feature flag to a small group, with logging and feedback capture switched on.

  4. Measure and expand

    We compare adoption, accuracy and time saved, tune the feature and roll it out to everyone once it proves itself.

What you receive

  • Integration architecture and data-flow diagram
  • Secure AI gateway or API layer
  • AI feature shipped behind a feature flag
  • Usage, accuracy and cost reporting
  • Documentation for your engineering team

Technology

Tools we build with.

  • OpenAI API
  • Anthropic API
  • Gemini API
  • Azure AI
  • Google Vertex AI
  • REST & GraphQL
  • Webhooks
  • Node.js
  • Python
  • React
  • React Native

We integrate into products we know from the inside

We designed and built the FinHance LMS and ship our own Android apps, so we understand the constraints of adding features to live products: existing users, existing data and zero tolerance for downtime.

See our products

AI Integration FAQ

Common questions.

Answers to what clients ask most about our ai integration services.

AI integration services connect AI models, such as large language models or machine learning models, to a company’s existing software through APIs, adding features like summarisation, search, extraction and assistants without rebuilding the product.

Usually only a little. Most integrations add an API layer and new interface elements alongside your current system, behind a feature flag, so the rest of the product keeps working as it does today.

We integrate OpenAI, Anthropic, Google Gemini and Vertex AI, Microsoft Azure AI, AWS and open-source models, and we can route between providers for cost, speed or data-residency reasons.

We redact or minimise personal data before it reaches a model, enforce the same user permissions as your app, use providers’ no-training terms and can keep processing inside your own cloud account.

Related

Related services

Let’s talk

Let’s make your idea bloom.

Tell us what you’re building. We’ll get back to you with clear next steps.