AI integration

Add AI to the tools you already use

We integrate language-model features into your existing products and systems, from smart search and summaries to classification and drafting, with the security and monitoring production use needs.

The problem

AI that never leaves the playground

Teams copy data into chat tools by hand because AI is not built into their actual systems.

Copy and paste into chat tools

Staff paste customer data into public AI tools to save time.

Data handling concerns

Nobody is sure what data is sent where.

Unpredictable cost

Usage and model costs are not monitored.

Stalled pilots

Proofs of concept never reach the product.

Our approach

AI built into your systems

We add AI where work already happens, with controlled data flows and measurable quality.

What you get

  • AI features inside your existing product or tools
  • Clear rules on which data is sent to which model
  • Structured outputs validated before they are used
  • Usage and cost monitoring with limits
  • Evaluation sets to measure quality over time

Capabilities

What our AI Integration work covers

Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.

Smart search

Search that understands meaning across your documents and records.

Summaries and extraction

Summaries of calls, tickets and documents; key fields extracted.

Classification and routing

Tag, prioritise and route items automatically.

Drafting assistants

Draft replies, descriptions and reports for review.

Secure AI APIs

Server-side integration with logging, limits and access control.

In practice

Automation patterns we build

Business event, AI processing, system action, notification. Select an example to see how it runs.

  1. Leadform.submitted
  2. AI Agentqualify + enrich
  3. CRMdeal.created
  4. Slack#sales notified

How we work

How we deliver AI Integration

  1. Identify

    Find the tasks where AI saves the most time safely.

  2. Prototype

    Test the feature on real examples.

  3. Integrate

    Build it into the product with security and monitoring.

  4. Measure

    Track quality, usage and cost after launch.

Technology

Technology we use

Chosen for reliability, maintainability and fit with your existing stack.

Models

  • OpenAI
  • Anthropic Claude
  • Open-weight models

Integration

  • Node.js
  • Python
  • REST & webhooks

Data

  • PostgreSQL
  • pgvector
  • Vector databases

Systems

  • HubSpot
  • Salesforce
  • Zendesk
  • Google Workspace

Use cases

Where teams put this to work

Common starting points. Your process will have its own details, which is why every engagement starts with discovery.

  1. 01

    Call and meeting summaries

    Summaries and next steps saved to the CRM.

  2. 02

    Ticket classification

    Incoming tickets tagged and prioritised automatically.

  3. 03

    Product description drafting

    Draft copy for review in your store or CMS.

  4. 04

    Semantic search

    Find answers across documents in plain language.

Industries

Built for operational teams across industries

The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.

  • SaaS & technology

    Product engineering, integrations and AI features for software companies.

  • E-commerce & retail

    Order, inventory and customer-service automation connected to your store and ERP.

  • Professional services

    Automated intake, document workflows and client reporting for agencies, consultancies and firms.

  • Finance operations

    Invoice processing, reconciliation support and reporting automation.

  • Education

    Admissions, learning platforms and administrative automation.

FAQ

AI Integration questions

Straight answers to the questions that come up in first calls.

Ask us directly
Is our data used to train AI models?

Business API offerings from major providers generally do not train on your data by default, but terms vary. We review provider terms with you and design data flows to send only what is needed.

Can you add AI to software we did not build?

Often, yes, through its API, plugins or an integration layer. We assess what the system allows first.

How do you control AI costs?

We choose models per task, cache where possible and set usage limits and alerts.

Related services

Most engagements touch more than one discipline. The same team can take you from strategy to production.

01

AI & Automation

AI agents and workflow automation that remove manual work across your tools.

  • AI agents
  • n8n, Zapier & Make
  • CRM automation
  • AI integrations
02

n8n Automation

n8n workflows, self-hosting and migrations from Zapier or Make, built and maintained for you.

  • n8n workflows
  • Self-hosted n8n
  • Zapier & Make migration
  • AI agent nodes
03

AI Agent Development

Custom AI agents that qualify leads, triage support and process documents, with human oversight.

  • Lead qualification agents
  • Support triage
  • Document extraction
  • Guardrails & evaluation

Start a project

Tell us what is slowing your team down

Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.

Intro call · Fixed-scope proposal · No obligation