AI Integration &
Workflow Automation.
Built into the systems you already run.

Most AI projects die in the demo stage. Ours ship because senior engineers pick the use cases worth building, wire them into your real workflows, and stay accountable for what happens in production.

SOUND FAMILIAR?sparcle

Everyone has AI ideas. Almost nobody has AI in production.

Your team is drowning in manual work a model could handle. Someone built a ChatGPT prototype that impressed everyone and never left the sandbox. Vendors are pitching "AI platforms" that don't talk to your actual stack.

The problem isn't the technology. The problem is judgment: knowing which 20% of your workflows are worth automating, and which AI ideas will quietly burn six months and a budget.

THE CODE IS CHEAP NOW. THE JUDGMENT ISN'T.

Services

Custom AI software development, from “we should use AI?” to AI doing real work.

AI Use-Case Alignment

We map your workflows, score them by automation ROI, and tell you honestly which ones aren't worth it. You get a prioritized roadmap not a sales pitch.

LLM, RAG & NLP Integration

Chatbots that actually know your business, document search that understands context, and language models wired into your own data retrieval-augmented, so they cite sources instead of hallucinating.

Workflow & Agentic Automation

The repetitive 80% of your team's day data entry, document processing, triage, reporting, handoffs automated. Where multi-step work needs it, we design agents with guardrails, audit trails, and clear failure modes. Humans approve what matters; nothing runs as a black box.

AI-Powered Product Features

AI your customers feel: recommendation engines, predictive analytics, computer vision, and intelligent search built into your web and mobile apps without derailing your roadmap.

AI Inside Legacy Systems

You don't need a rebuild to use AI. We integrate models into the software you already run even the codebase no one wants to touch.

Custom API & Tool Integration

Your CRM, ERP, WMS, or EHR talking to your AI tools and third-party APIs through a clean integration layer. No brittle glue code, no vendor lock-in by accident.

How we work

Audit. Pilot. Production. Owned.

Audit

01

One to two weeks. We map your workflows and data, then hand you a report: what to automate, what to skip, what it costs. Objective acceptance criteria, risk-free.

Pilot

02

One high-ROI workflow, live in weeks. Real data, real users, measurable baseline vs. result. If the numbers don't hold, we say so before you scale it.

Production

03

Security review, error handling, monitoring, cost controls on model usage. AI writes drafts; it doesn't sign its name. Every line that ships is reviewed and owned by a named engineer.

Maintain

04

Models drift, APIs change, costs creep. A named engineer owns your integration end to end when something breaks at 2am, you know who picks up. Not a ticket queue, not a chatbot.

WHY IT SHIPS

AI-amplified. Human-accountable.

We use AI aggressively in our own work that's how a small team ships at the pace of a large one. So when we tell you an automation isn't worth building, believe us: we'd know.

AI does the heavy lifting.

Software engineer & builder. I take projects that are stuck or vague and ship them.

Engineers do the thinking.

Which model, which guardrails, what happens when it's wrong, who's liable when it touches sensitive data. The judgment calls AI gets confidently wrong.

In the field

Industry-agnostic engineering. Industry-specific results.

Healthcare Software

Secure, compliant systems already serving 20k+ daily users. PHI handled by design audit trails and access control built in, not bolted on.

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3PL & Logistics

ERP, WMS, and carrier APIs finally talking to each other. Orders, tracking, and reconciliation that stop needing a human to babysit them.

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SaaS & Startups

AI-powered features your users actually use, shipped without derailing your roadmap.

Work we've shipped
HONEST ANSWER

Can't we just use ChatGPT?

You can, for drafts and brainstorms. But a subscription won't connect to your database, respect your permissions model, keep PHI out of a third-party's training data, or run a 12-step workflow unattended.

That gap between “impressive demo” and “system your business runs on” is exactly what we build. And if your gap is small, we'll tell you a two-week fix sold as a six-month project is how agencies lose trust, and trust is the only thing we sell.

FAQ

Questions, answered.

How long does an AI integration project take?

The audit takes 1 week. A first production workflow typically ships in 2–8 weeks depending on your data and systems. We define fixed scope before writing code.

Can you integrate AI into our existing/legacy software?

Yes, that's most of our work. You don't need a rebuild; we integrate at the API and data layer of what you already run. If the codebase itself is the blocker, start with a legacy audit.

Do you build custom AI software and machine learning models?

Yes. When an off-the-shelf model fits, we use it, you shouldn't pay custom prices for commodity capability. When it doesn't, we build custom: fine-tuned models, predictive analytics, recommendation systems, and computer vision tailored to your data.

How do you handle sensitive data and compliance?

Data handling is designed first, not patched later: access controls, audit trails, and model configurations that keep regulated data out of third-party training sets. For US healthcare work, HIPAA-aligned architecture is our default.

Which AI models and platforms do you use?

We're vendor-neutral. We pick per use case based on accuracy, latency, and cost, including self-hosted models when data can't leave your environment. You own the integration; you're never locked to our choice.

What does AI integration cost?

The audit is fixed-fee and tells you exactly what each workflow costs to automate, including ongoing model costs, which most vendors conveniently omit. No estimate without seeing your systems first; anyone who quotes blind is guessing.

What if the automation doesn't work?

The pilot is measured against a baseline we agree on up front. If the numbers don't justify scaling, we tell you and stop. Our first sprint is

LET'S TALK

Tell us the workflow that wastes the most time.

We'll tell you if AI can fix it and what it costs if so. No commitment required.

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