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Qubitz
SERVICE — 02

Stop Doing Things Machines Can Do

Automate the repetitive, manual work that's slowing your team down. We wire AI into your operations — document processing, lead automation, intelligent assistants, and process pipelines that run without human intervention.

Automated document processingLead routing & scoring pipelinesInternal AI assistantsSystem-to-system integrationsCustom AI features in existing toolsProcess monitoring & alerting
The problem

Your Team's Day Looks Like This

Manual document review. Copying data between systems. Scoring leads in a spreadsheet. Routing emails by hand. These tasks don't require judgement — they require volume, and volume is exactly what AI handles well.

Most businesses have three or four processes a machine could handle — they've just never been mapped out properly.

A typical morning91% repetitive work
08:30Read & sort 47 incoming emails45 min
09:15Copy invoice data into accounting system30 min
09:45Update CRM from yesterday's calls25 min
10:10Score and assign 12 new leads20 min
10:30Actually talk to a prospect15 min
10:45Fill out lead follow-up spreadsheet10 min
10:55Forward 3 support emails to right people10 min
11:05Chase missing data from 2 forms15 min
2h 35min on tasks a machine could do× every single day
What we automate

Before and After

Tap any card to see what the same process looks like after automation. We start with your most expensive manual process and build the minimum automation that solves it reliably.

How we work

Why Our Automations Actually Work

One process at a time

Not AI company-wide. We find the single workflow that costs your team the most hours and build the simplest automation that solves it reliably. Prove it, then expand.

Model-agnostic

We work with OpenAI, Claude, and open-source models. We pick what's right for each job — not what we're partnered with. Sometimes the best model is a small, free one.

Human-in-loop

Every automation includes monitoring, error handling, and human review steps before consequential actions are taken. AI handles the volume; your team handles the judgement.

Architecture

Reliable. Observable.
Maintainable.

Every automation we build comes with monitoring, error handling, and human review queues. You see exactly what ran, what succeeded, and what flagged for review — no black boxes running your business in the dark.

We're not locked into any AI vendor. We pick the right model for each job — OpenAI when it's the best fit, Claude when it's better, open-source when cost or data-privacy requirements make it the right call.

PythonFastAPIOpenAI APIClaude APIn8nLangChainPostgreSQL

Frequently Asked Questions

Not always. If your existing systems have decent APIs and clean data, we can wire AI on top of them. But if the underlying infrastructure is fragmented or the data is unreliable, the AI won't perform well regardless of how good the model is. We'll tell you honestly which situation you're in.
We work with OpenAI (GPT-4 and family), Anthropic (Claude), and open-source models where cost or data-privacy requirements make them a better fit. We're not tied to any vendor — we recommend what's right for each use case.
Some automations — connecting existing tools, setting up a document processing pipeline — can be live in a week or two. More complex systems that involve custom model integration or significant business logic take longer. We scope this clearly before starting.
Every automation we build includes monitoring, error handling, and — where the stakes are high — human review steps before consequential actions are taken. AI doesn't replace judgement, it handles the volume so your team can focus judgement where it matters.

Ready to put AI to work in your operations?

Start with one process — the one that costs your team the most hours. We'll scope what automation would look like and what it would take to build it.

AI Workflows & Automation | Qubitz