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AI Integration

Most "AI integration" is a chatbot bolted onto a website because someone asked for one. We build AI into your actual workflows, where it saves real time, not where it looks impressive in a demo. That means automated document and data extraction, intelligent search that understands intent, and workflow automation that hands off the parts a human still needs to check. We integrate existing LLM providers into your systems rather than training custom models nobody needs, and we design for the fact that AI can confidently produce a wrong answer. Every feature ships with guardrails and a human review point wherever accuracy actually matters.

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Overview

Where AI actually pays for itself

AI is a tool, not a strategy. Before recommending anything, we look at where your team is spending time on repetitive, pattern-based work: document processing, data extraction, customer query triage. That's where AI integration actually pays for itself.

We build practical AI features into existing systems: automated data extraction, intelligent search, content generation assistance, and workflow automation, grounded in your actual data and processes, not a generic AI wrapper.

What's Included

What you get with AI Integration

Use case assessment

An honest answer on whether AI actually solves your problem, before we build anything.

Document & data extraction

Pulling structured data out of unstructured documents automatically.

Intelligent search & retrieval

Search that understands intent, not just keyword matching.

Workflow automation

AI handling the repetitive parts of a process, escalating the rest to a human.

LLM API integration

OpenAI, Anthropic, and other providers wired into your existing systems securely.

Data privacy & guardrails

AI features that don't leak your data or confidently hallucinate wrong answers unchecked.

How We Work

Our approach

We start by testing whether AI actually outperforms the current process on your real data, not by assuming it will. That means a small proof-of-concept against your actual documents or queries before committing to a full build, so you see real accuracy numbers, not a vendor's benchmark. We design what gets sent to an external API versus what stays internal, since that decision has real data-privacy consequences. Every feature that touches a business-critical decision gets a human review point built in, and we monitor accuracy in production, since model behavior can drift as your data changes.

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Tech We Use

Tools & technologies

LLM Providers

OpenAI API Anthropic API

Frameworks

LangChain Python

Vector Databases

Milvus
FAQ

Common questions about ai integration

Do we need AI, or are you just recommending it because it's popular?

We'll tell you honestly if a simpler, non-AI solution solves your problem better and cheaper.

Is our data safe if we integrate an AI provider's API?

We design integrations with data privacy in mind: what gets sent externally, what stays internal, and what's logged.

Can AI features hallucinate wrong information?

Yes, which is why we build guardrails and human review points into workflows where accuracy actually matters.

Do you build custom AI models, or integrate existing ones?

Almost always integrate. Training custom models is rarely the right call for business applications; we'll tell you if yours is the exception.

What's a realistic timeline for an AI feature like document extraction?

A focused proof-of-concept typically runs 2-3 weeks; a production-ready feature with review workflows usually takes 6-10 weeks depending on integration complexity.

Can AI integration work alongside our existing software instead of replacing it?

Yes, most of our AI work adds a feature into an existing system rather than replacing it wholesale.

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Let's talk

Ready to start your ai integration project?

Whether you need a brand-new build, a redesign of something that's already live, or a second opinion on a project another vendor left behind, our in-house engineering team scopes the work honestly, keeps you updated sprint by sprint, and stays reachable after launch instead of disappearing once the invoice is paid. Fill in the quick form and we'll reply within one business day, or book a free 30-minute architecture review if you'd rather talk it through first. No obligation, no sales pitch.

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