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AI Integration

Make your software smarter.

Assistants, search, and document intelligence that sit inside the software your team already opens.

  • AI inside existing products
  • Knowledge with sources
  • Documents as structured data
CRMEmailKnowledgeDocuments

Assistant

What's our refund policy for enterprise?

Refunds within 30 days on unused seats.

Policy handbook · p.4

How it sits

  1. Your tools
  2. AI layer
  3. Knowledge
  4. Action

What this includes

Three places it creates value.

01

Assistants

People ask in natural language. The answer comes from your systems.

  • AI assistants
  • AI copilots
  • AI chatbots

02

Knowledge

Policies, tickets, and documents become searchable — with sources.

  • Knowledge systems
  • Document processing
  • AI-powered search

03

Platform

Models connect to the software you already run, not a new silo.

  • LLM integrations
  • Custom AI APIs
  • Application integrations

How we work

From the process to production.

  1. 01

    Map the tools, data, and workflows where AI can sit without disrupting operations.

  2. 02

    Connect models to your data with the right permissions, retrieval, and guardrails.

  3. 03

    Ship assistants, search, document processing, or APIs into the software people already open every day.

Where it shows up

Concrete work, not a demo.

Use case

Internal assistant

A chat interface over your policies, tickets, and product docs — with sources, not guesses.

Use case

Document processing

Invoices, contracts, and forms become structured data your systems can use.

Use case

Product copilot

Embed an LLM into an existing app so users complete work faster, inside the same UI.

Next step

Tell us what is slowing your business down.

We'll help you identify what can be automated, where AI can create value, and what should be built from scratch.

AI Integration · NOOPS