AI integration
Add practical AI to the software you already run — intelligent search, document understanding, summarization, and support automation, inside your existing product.
Starting from $4k production pilot $4k–$10k · 3–6 weeks
AI search & recommendations
Document extraction
Support automation
In-product assistants
Free discovery call · response within 24h · no commitment
AI Integration Services
Problems we integrate AI into
Most companies don't need an AI product — they need AI inside the product they already have. That reframes the problem from research to engineering, and engineering is our edge: we integrate AI into real production systems, with the auth, data models, and reliability constraints that demos get to ignore.
- Support teams answering the same questions hundreds of times a month
- Products whose search returns keywords instead of answers
- Back offices manually reading, classifying, and re-typing documents
- Sales teams qualifying leads by hand before anyone talks to them
Typical integrations: retrieval-augmented search that answers questions from your documentation and data instead of listing links; document pipelines that extract structured fields from invoices, contracts, and forms into your database; summarization and drafting inside existing workflows; recommendation and classification layers; and support assistants that resolve the repetitive half of your ticket queue while escalating the rest to humans with full context.
What makes integrations succeed is the unglamorous part: evaluation suites that measure accuracy before and after every change, guardrails and human-in-the-loop controls where mistakes are expensive, cost monitoring so token spend doesn't surprise finance, and a swappable model layer across OpenAI, Anthropic, Google, and open-source. Because we build in Laravel, Node.js, React, and mobile stacks daily, the AI lands inside your codebase cleanly — not bolted on through a fragile third-party wrapper.
Process
How an engagement runs
Discovery
A free call, then a short discovery phase: goals, users, constraints, and the smallest scope that proves value.
Scope & architecture
A written proposal with architecture, timeline, and cost — fixed scope or time & materials, your call.
Build in sprints
2-week sprints with a working demo at each. You see progress as software, not status reports.
Launch & iterate
Production launch with monitoring, then iteration month-to-month — or a documented handover with full IP.
FAQ
Common questions about AI integration services
Can you add AI to our existing platform without a rebuild?
Yes — that's the defining constraint of an integration. We work inside your existing stack (Laravel, Node.js, Python, React, mobile) and data model, shipping AI features as increments to the product you already run.
How do AI integration projects start?
With a short opportunity audit: we review your product and workflows, identify where AI produces measurable value, and propose a 2–4 week paid pilot on the highest-value candidate with agreed success criteria before any larger commitment.
What does AI integration cost?
Pilots typically run $4–10k for a production-quality first feature with evaluation and guardrails. Ongoing integration work is available per-project or via embedded AI engineers from $15/hour.
Start here
Discuss an AI integration
Tell us what you're building — a written response within 24 hours, no commitment.
- Product demo
- Custom build
- Staff augmentation