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SERVICE

AI Integration Services

Your stack, made intelligent.

What is AI integration?

AI integration is the work of connecting AI capabilities, such as language models, document extraction, prediction, or voice, to the software a business already runs. Instead of adopting a separate AI tool, the AI becomes part of existing workflows: it reads from and writes to your ERP, CRM, databases, and apps through APIs, webhooks, and automation.

THE PROBLEM

Most businesses cannot replace their ERP, CRM, or core product to adopt AI, and the systems they have were never designed to talk to AI models or to each other. The result is AI tools used in isolation, with staff copying data between them by hand.

OUR SOLUTION

We integrate AI into your existing stack through APIs, webhooks, and automation: language models, document understanding, prediction, and voice or chat interfaces connected to the systems your team already uses, with error handling, monitoring, and security built in.

HOW IT WORKS

How we integrate AI into your stack

  1. 01

    Map the systems

    Which systems hold the data, which have APIs, and where people currently move data by hand.

  2. 02

    Design the integration

    API contracts, data flows, security, and where AI adds value compared with plain automation.

  3. 03

    Build the connectors

    Custom REST or GraphQL APIs, webhooks, n8n workflows, or direct database integration, depending on what each system supports.

  4. 04

    Harden it

    Retries, error handling, alerting, and monitoring so integrations run unattended.

  5. 05

    Roll out step by step

    Start with one workflow, prove it, then extend to the next.

TYPICAL STACK

  • REST APIs
  • GraphQL
  • Webhooks
  • n8n
  • Node.js
  • FastAPI
  • LLM APIs

TIMELINE

A first integrated workflow is typically a focused build in our 4 to 8 week range.

Key features

  • AI features added to existing apps through APIs
  • ERP, CRM, and internal system integration
  • Custom REST and GraphQL APIs
  • Document understanding inside current workflows
  • Production-hardened: retries, alerting, and monitoring

Use cases

  • Adding AI answers to an existing product
  • Connecting AI tools to ERP and CRM data
  • Automating data entry between legacy systems
  • Embedding voice or chat into current channels

Benefits

  • AI adoption without a rip-and-replace project
  • Your team keeps the tools it knows
  • Data flows between systems automatically
  • Integrations built to run unattended

COMPARE

Integrating AI vs. replacing your systems

Integrating AI vs. replacing your systems
CriterionIntegrate AI into existing systemsReplace with a new AI platform
DisruptionLow, the team keeps its toolsHigh, retraining and migration
Time to valueWeeks for the first workflowMonths before it pays back
RiskStep by step and reversibleConcentrated in one cutover
Best whenCore systems work but lack intelligenceCore systems are at end of life

INDUSTRIES

Industries we build this for.

FAQS

AI Integration Services: common questions

Can you add AI to a system that has no API?

Often, yes. Options include direct database access, file-based exchange, email parsing, or, as a last resort, automating the user interface. We check what each system allows before committing to an approach.

Which systems can you integrate with?

Anything with an API, plus many systems without one. ERP, CRM, helpdesk, e-commerce, accounting, and custom internal systems can all be connected, and we confirm each one's options during discovery.

Will adding AI slow our systems down?

It should not. AI calls run in the background wherever possible, so your core systems are not left waiting on a model to respond.

How is data kept secure between systems?

Scoped credentials, encrypted connections, and passing only the fields each step needs. Data handling is agreed during design, and sensitive data can stay in infrastructure you control.

What is the difference between AI integration and automation?

Automation moves data between systems when a trigger fires. AI integration adds a step inside those flows that understands, decides, or writes, such as reading an invoice or drafting a reply. Most projects use both.

Discuss this project

Tell us what you're building. We'll show you exactly how we'd engineer it.

  • Free 30-minute discovery call
  • You own the code, models, and IP
  • Working software every week