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AI integration services

Turn AI opportunities into working software.

We integrate large language models into your products and internal workflows — with the engineering discipline that production systems require.

Discuss Your AI Use CaseEngagement models

The business problem

AI prototypes rarely make it to production.

A demo is easy. Integrating AI into real systems — with your data, permissions, costs, and reliability requirements — is an engineering problem most teams have not solved yet.

  • Promising prototypes that never shipped
  • Uncertainty about data security and access control
  • Unpredictable model costs and output quality

Our solution

AI features engineered like any other production system.

We start with a specific business workflow, choose an approach that fits your data and risk profile, and build it with evaluation, monitoring, and cost controls from day one.

  • Use-case definition tied to a measurable workflow
  • Retrieval-augmented generation over your own content
  • Guardrails, evaluation sets, and human review where needed
  • Integration with the applications you already run

Capabilities

Technical capabilities

AI patterns
LLM API integrationRetrieval-augmented generation (RAG)Structured data extractionTool and function callingWorkflow automation
Engineering
Integration with existing systemsCommercial LLM APIsVector searchPrompt and output evaluation
Operations
Usage and cost monitoringAccess control and data boundariesLogging and auditability

Typical use cases

Where this engagement typically fits.

  1. /01

    Internal knowledge assistant

    Let employees query policies, documentation, or product data with answers grounded in your sources.

  2. /02

    Intelligent document processing

    Extract structured data from invoices, forms, or contracts and route it into existing systems.

  3. /03

    AI features in your product

    Add summarization, classification, or drafting capabilities to a SaaS application.

Engagement approach

How we'd work together.

Scope, team structure, and working hours are agreed before any engagement begins. Compare engagement models.

AI discovery sprint

A short engagement to define a use case, assess data readiness, and build a working proof of concept.

Production integration

Take a validated use case to production inside your existing architecture.

FAQ

Common questions.

Which AI models do you work with?

We integrate with commercial LLM APIs and choose based on your requirements for data handling, cost, and quality.

Will our data be used to train models?

We design integrations around your data policies and the terms of the provider you choose, and we document how data flows through the system.

Let's talk about your AI Integration needs.

Share a little about your goals and current setup. We'll follow up to arrange a conversation with our technical leadership.

Discuss Your AI Use CaseSend us a brief