Service
AI Automation
Automation tools and AI integrations your team actually uses every day — not a demo that stops working after the pitch.
Most “AI” requests are really regular automation needs that a language model can help with at one or two key points. We start by mapping the process eating up the most of your team’s time, then figure out whether it actually needs AI at all or whether a cheaper, easier-to-maintain rules-based automation gets the job done.
Two projects that best show this approach are VidKupas, an AI-powered content tool, and an earthquake notification bot sending real-time alerts - both built to actually be used, not just demoed once.
- Automating repetitive workflows (reporting, notifications, data processing)
- AI (LLM) integration for summarization, classification, or automated responses
- Real-time notification bots (see the earthquake bot in the portfolio)
- AI-powered content tooling (see VidKupas in the portfolio)
- Full documentation and ownership of the code that gets built
Pricing
Transparent ranges, final quotes always by request
Every project has different needs. The figures below are a starting point for discussion, not a final price — contact us for a quote that fits your situation.
Automation Starter
Contact for a quote
One single workflow
Automating one repetitive process that's currently handled manually — notifications, data collection, or routine reporting.
- Process analysis & automation flow design
- Implementation + testing
- Short usage guide
Custom AI Tool
Contact for a quote
Purpose-built automation/AI product
Building a new tool from scratch that uses AI for a specific business need — from an internal assistant to an AI-powered feature inside your product.
- Technical feasibility research & model/tool selection
- End-to-end development
- Testing with real data/users before release
Integration & Ongoing Tuning
Contact for a quote
Monthly retainer
For automation/AI tools already in production that need monitoring, prompt/model tuning, or ongoing feature additions.
- Performance & AI usage cost monitoring
- Periodic tuning based on real-world results
- Priority for new feature requests
FAQ
What people usually ask before starting
Is AI automation only for large companies?
No. Most of the automation work we do is for small teams looking to save time on repetitive tasks — starting from one simple workflow, not a large-scale AI initiative.
What real examples of AI/automation tools have you built?
Two examples you can see in the portfolio are VidKupas, an AI-powered content tool, and a real-time earthquake notification bot that sends automated alerts as soon as new earthquake data becomes available.
My data would go through a third-party AI service - is that safe?
Model/service selection is always discussed with your data sensitivity in mind, including the option of running a model locally/self-hosted if data can't leave your own infrastructure.