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ChatGPT Integration
into what you already ship.

ChatGPT integration services for product teams. We wire OpenAI or multi-provider LLMs into your app—with auth, rate limits, cost tracking, and fallbacks when APIs hiccup.

50%

Faster responses

Instant AI replies vs. manual queues

70%

Cost reduction

Automate repetitive text tasks

24/7

Availability

Always-on assistant layer

95%

Satisfaction target

When grounded in your data

Integration process

  1. 01

    Analysis

    Map use cases, data sources, and compliance needs.

  2. 02

    Development

    Build integration layer, prompts, and UI touchpoints.

  3. 03

    Testing

    Load, accuracy, and failure-mode testing.

  4. 04

    Launch

    Deploy with monitoring and cost dashboards.

  1. 01

    Seamless integration

    Drop into existing web apps, mobile clients, or internal tools.

  2. 02

    Multi-platform

    Web, mobile, desktop, and enterprise systems.

  3. 03

    Enterprise security

    Encrypted keys, RBAC, and request logging.

  4. 04

    Custom development

    Prompt layers and business logic tailored to your domain.

Integration surfaces

Website integration

Live chat, content tools, and FAQ automation.

  • Widget embed
  • Custom UI
  • Analytics

Mobile app

In-app assistant with voice and push.

  • SDK layer
  • Offline queue
  • Personalization

Internal tools

Docs, email, and code copilots for your team.

  • Slack bot
  • Notion sync
  • API access

Use cases

  • Support automation
  • Content drafting
  • Code assistance
  • Document analysis
  • Email workflows
  • Product recommendations
  • Translation
  • Internal knowledge search

FAQ

Questions clients ask before they outsource.

01How much does a ChatGPT or LLM integration cost?
Simple integrations (chat layer, content tooling, internal copilot) typically run $2,000–$10,000 USD. Multi-provider setups with cost dashboards, prompt versioning, and fallbacks sit higher. Every project is quoted fixed-price after scoping.
02Which LLM providers do you integrate?
OpenAI, Anthropic Claude, Google Gemini, and open-source models—often behind a provider-abstraction layer so you can switch or mix providers without rewriting your app.
03How do you keep API costs under control?
We build usage and cost dashboards into the integration, set rate limits and caching, and choose model tiers per task—so routine requests do not run on the most expensive model.
04Can you integrate AI into our existing product remotely?
Yes. Most of our integration work is for product teams in the US, UK, UAE, Canada, and Australia. We work in your repo, follow your review process, and demo progress weekly.

Next step

Ready to scope chatgpt integration?

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