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04 · What We Do

AI Integration & Automation

Production-grade AI features, not demo-ware

A lot of "AI features" never make it past a demo because nobody accounted for cost at scale, failure modes, or what happens when the model is wrong. We build AI integrations the same way we build any production system — with monitoring, fallbacks, and a clear cost model from day one.

That covers LLM integrations (GPT-4, Claude, Gemini) for chat, document analysis, and NLP-powered search, as well as custom ML pipelines for prediction and forecasting tasks trained on your own data.

We're honest about where AI is and isn't the right tool — part of the engagement is a feasibility pass before we commit to an approach, so you're not paying to discover a simpler solution would have worked.

Why It Works

KEY BENEFITS

Feasibility-first

We validate the approach before you commit budget to a build.

Cost under control

Usage monitoring and rate limits are part of the build, not a surprise invoice later.

Graceful failure

Every AI feature ships with a fallback path for when the model gets it wrong.

What You Get

DELIVERABLES

GPT-4ML PipelinesChatbotsNLP
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Ready to Talk AI Integration & Automation?

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