Choose a bounded use case
Agree the scope and acceptance examples before committing to implementation.
Applied AI / Custom development
AI integration & automation
Useful AI features connected to your documents, products and business processes.
Software with a clear purpose.
An AI feature is useful only when it helps complete a task reliably. We start with examples, access rules and measurable expectations.
What your project can include
- Document search and retrieval-assisted answers
- Extraction, classification or support assistance
- Evaluation cases, usage controls and human review
From requirement to release
Evaluate against real examples
Review working increments and resolve the important edge cases together.
Integrate with monitoring and fallbacks
Validate the agreed scenarios and document deployment, ownership and maintenance.
Implementation decisions that matter
Agree what data can reach a model provider, retention expectations, review steps and a usage budget. Sensitive actions need explicit authorization in the product.
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How we choose a stack ↗Before we get started
Can the assistant answer only from our documents?
We can ground responses in approved sources, show citations and refuse when evidence is missing. Evaluation and human review remain necessary because generated answers can be wrong.
What do you need to estimate the project?
Agree what data can reach a model provider, retention expectations, review steps and a usage budget. Sensitive actions need explicit authorization in the product.
A good place to start
Discuss your project Have a workflow or product in mind?
Show us how your business works. We’ll help you choose an existing product or scope a custom build.