Safe to adopt in a clinical setting.

Multiple independent layers screen every turn of every conversation: model instructions, output checks, continuous risk screens and human review. Safety is the architecture, not a feature.

Concerning disclosures, such as red flag symptoms or risks to patients, trigger immediate silent escalation to your care team’s dashboard while TESSA continues to engage the patient calmly. TESSA also spots patterns across conversations and learns the things your teams look out for, supporting early risk identification and management.

TESSA never diagnoses and never acts alone. Every report is reviewed, amended where needed and signed by a nurse or clinician before it becomes part of care. The AI prepares; your team decides, and the record shows exactly who decided what.

Outputs are grounded in retrieved passages from your institution’s own protocols, pathways and guidelines, not the model’s training data. That bounds what the AI can say to what your organisation has approved, and keeps guidance current as your documents change.

Every finding in the report links back to the exact patient words or source document it came from. Reviewers verify in seconds instead of re-interviewing, and gaps are flagged rather than smoothed over: an audit trail built into the writing itself.

For every priority read and risk flag, TESSA shows its reasoning and its confidence: what it saw, where, and how sure it is. Clinicians can interrogate a conclusion before trusting it, the difference between a tool your team uses and one it works around.