01
Find the lever. One workflow where AI saves measurable hours or unlocks a new capability — not a vague “AI strategy”.
AI Solutions
AI that does the work, not just the demo.
We design AI systems for real operations — internal assistants, lead triage, document classification, drafting and decision support — with retrieval, evaluation and review controls strong enough to actually deploy.
The problem
Where the time is leaking.
- Hours per week disappear into repeat questions, fragmented documents and copy-paste research.
- Knowledge lives across inboxes, Drive, Notion, spreadsheets and a CRM that none of them quite agree with.
- Leadership wants faster insight, but every “just pull the numbers” ask becomes a half-day project.
- The team has tried ChatGPT — and quickly hit the wall of “it doesn't know our stuff”.
What we deliver
Systems built around your data and your process.
- Internal assistants connected to your documentation, knowledge base, CRM and operational data.
- Lead and ticket triage, request classification, automated response drafting with human review.
- Document processing pipelines: extraction, summarisation, comparison, contract Q&A.
- Decision-support tooling for sales, ops and leadership — answers backed by sources you can audit.
Approach
How we ship AI that survives contact with reality.
02
Pilot in production. Real data, real users, in 4–8 weeks. Evaluation harness from day one so we can see what's actually working.
03
Harden & expand. Tighten retrieval, add guardrails, integrate deeper. Only widen scope where the data says it earns it.
“A useful AI system isn't the one with the smartest model. It's the one your team trusts enough to keep using on a Wednesday afternoon.”Crovyx — operating principle
FAQ
Frequently asked.
Can Crovyx build AI for internal teams, not just customer-facing use cases?
Yes — most of our highest-leverage work is internal: knowledge access, document handling, drafting, classification and decision support.
Do we need clean data before starting?
No. You need a real problem, usable source material and a process willing to iterate. We help shape the data foundation as part of the work.
Is this just a chatbot?
Almost never. Chat is one possible interface. The work is in retrieval quality, integrations, evaluation and the controls that make a system safe to ship.
What does a typical first scope look like?
A focused 4–8 week pilot around one workflow, with measurable outcomes and a clear decision point on whether to expand it further.
Sometimes the answer is yes. Sometimes it's a simpler automation. Sometimes the right move is to fix the data first. We're useful in all three cases.