AI Integration
We implement automated workflows and integrate Artificial Intelligence APIs.
We integrate language models into existing products where they solve a measurable problem. We start by defining what a correct answer looks like and how it gets checked — without that, an AI feature is impossible to improve and impossible to defend to a customer.
AI Integration
We implement automated workflows and integrate Artificial Intelligence APIs.
Discovery
We map the current system, its constraints and the business goals before proposing anything.
Architecture
We design the structure, data model and integration points. Decisions get documented, not improvised.
Implementation
Delivered in short iterations, with reviewed code and a staging environment you can see at any time.
Testing & QA
Automated tests plus performance and security checks before every release.
Launch & support
We ship with a rollback plan, then stay on for monitoring and iteration.
Use cases
Search across internal documentation
Answers with the source cited, over contracts, procedures or ticket history.
Automatic classification and routing
Triage of emails, tickets or requests, escalating to a human when confidence is low.
Structured extraction from documents
Invoices, contracts and forms turned into data you can query.
Key benefits
Evaluation before launch
We build a test set and a score. You know how often it gets things wrong, not just that it sometimes does.
Cost per request stays visible
We pick the model on price-to-result and monitor consumption like any other infrastructure resource.
Your data stays yours
We define explicitly what goes to the model provider, what stays local and what is anonymised first.
Technologies
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Tell us where you are and where you need to get to. You get a concrete assessment back, not a templated reply.
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