How it works
Battle-tested, not black boxed
Agentic sidekicks are field-proven in real care settings not just in theory. Our comprehensive testing framework validates agent behavior across multiple scenarios, ensuring safety, reliability, and transparency in every care environment.
Trusted agents.
Certified systems.
Agents follow strict protocols to protect data, log every action and keep teams in control. Behind the scenes, they run on infrastructure built to meet the highest standards of security and oversight.
Behavior you can trust
Full audit trails of every agent action and decision
Agents never act outside defined boundaries
Human-in-the-loop by default
Agents access only what’s needed. Data is protected under a BAA with OpenAI
Standards you can prove
ISO 27001:2022 certified for information security
Registered under the NIS2 cybersecurity directive
Passwordless by design, with SSO and native MFA
Commitments in motion
Working toward ISO 42001 to help define what trustworthy AI in healthcare looks like
How it works
How agentic orchestration works
Assemble, test, and deploy your own agentic squad bridging every system, care team, and patient journey. Agents coordinate multiple actions across EHRs, CRMs, comms tools and more.

The AI sidekick effect on patient intake
- Agents handle the brunt work
- HITL: Hero-in-the-loop (care teams)
Demographhic intake
& initial eligibility
Send demographics form to patient
Read and store application responses
Sync partial info to Salesforce (create lead)
HITL event: Review unrecognisable or unclear insurance providers
Send offboarding message (if ineligible)
Preference collection
& detailed validation
Send preferences form to patient
Read and store preferences
Individual outreach to patient based on high-risk symptoms / self harm
Calculate patient age
Sync new info to Salesforce
Review duplicate or unmatched patient info
Determine offboarding criteria: age < 18, unsupported state
Final eligibility
decision
Mark patient as eligible/not
Set offboarding category (if needed)
Final update to Salesforce (e.g. db, care type)
Final update to Awell
Set outputs for workflow (age, insurancetype, etc)
Offboard if ineligible
Review patient profile before final offboarding message is sent
Follow-up actions
& system sync
Register intake in Salesforce
Tag by referral / lead source
Store magic link & utm for attribution
Notify patient of outcome
Send data to scheduling system