AI & Automation
Put AI to work inside your business.
We add practical AI to your product and operations — features that answer from your own data, agents that handle real tasks, and automations that clear busywork. Built to solve a real problem, not to chase a trend.
Illustrative UI
Overview
Most AI projects fail for the same reason: they start from the technology instead of from a task someone is currently doing by hand. The ones that work replace a specific piece of repetitive effort, and can be measured against what that effort used to cost.
We wire models into your real data and your real workflow, with evaluation and guardrails before anything ships. You get the prompts, the source and the cost monitoring — so you can see what it is doing and what it is spending.
What we build
LLM features
AI writing, search, and summarization built into your existing product.
RAG over your data
Systems that answer from your documents and databases, with sources, not guesses.
AI agents
Agents that complete multi-step tasks — research, data entry, and workflows.
Workflow automation
Pipelines that connect your tools and remove repetitive manual work.
What you get
- Working AI feature integrated into your product
- Full source code and prompts
- Connections to your data sources
- Usage and cost monitoring
- Documentation and handover guide
Tech we use
Common questions
What drives the cost of an AI feature?
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The complexity of the task and how messy your data is. A summarization feature is quick; an agent that acts across systems takes more. Running costs depend on usage, so we build in monitoring to avoid bill surprises.
Is this the same as your AI chatbot service?
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No — chatbots have their own page. This is AI built into your product and workflows. Either way, you get the full source code and prompts and own 100% of the IP, under an NDA by default.
Related services
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