For clinics and healthcare ops
AI agents for healthcare — predictive scheduling, tight data controls.
Healthcare operations have two hard problems: patient time is expensive, and patient data has strict residency rules. QwertyBit ships predictive scheduling agents that cut no-show rates and on-prem LLM workflows for clinics that cannot move data to the cloud. Every deployment is HIPAA-aware and respects patient-data sovereignty by design.
Case studies · Healthcare
Further reading · Healthcare
2026-04-09
KPIs for business owners: the 3-layer metric stack we build every dashboard on
Most dashboards fail for three reasons — too many metrics, vanity numbers, no baseline. The practical framework we use to cut 40 metrics down to one north-star plus 3–6 input KPIs, and how an AI agent can flag anomalies in under 15 minutes.
2026-03-21
LLMs in business: which workflows actually pay back (and how to spot the duds in 4 questions)
The model is the easy part — the value sits in data, retrieval, evals and orchestration. The four-question test we use to decide which workflows are worth an agent, plus a clear-eyed take on on-prem vs cloud and when each wins.
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