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AI & Automation

AI features that actually ship not ChatGPT wrappers. We build integrations that automate real workflows, reduce manual work, and survive production load.

What this covers

How we approach it

Most AI integrations fail not because the model is wrong, but because the surrounding system isn't built for production. We design and build AI features that handle real-world load: prompt engineering, latency management, output validation, graceful degradation, and cost control. The AI features that retain users automate a specific pain they don't add a general capability. Before writing code, we define what manual work gets replaced and how often users face it. We then build for that outcome, not for a demo.

What's included

Key capabilities

LLM integration with production-grade reliability and fallback handling
Automated data extraction, classification, and workflow orchestration
Custom AI pipelines with output validation before data reaches your users
Cost control and latency monitoring under real traffic
AI feature design that solves a specific user problem, not adds a checkbox

How it works

From scoping to production.

01

Scoping call

We map your requirements, technical constraints, and timeline. Proposal within 48 hours.

02

Build

Two-week sprints with weekly visibility. Staging environment from the first sprint.

03

Launch & support

Monitored deployment with post-launch support. We don't disappear after go-live.

Ready to start?

Book a 30-minute call. We'll scope the work and tell you exactly what it will take.

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Enterprise software engineering SaaS, AI, cloud, and security for companies that need more than an agency.

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