Enterprise proactive wellbeing calls at scale
Automate routine wellbeing checks and shift to proactive care, freeing operators to focus on those who need human support.
The challenge of scaling proactive calls
Proactive check-ins prevent urgent issues but add operational strain. Services need governed workflows for schedules, failed contacts, and escalations.
Build the workflow before the call happens
Most platforms just offer a conversational chatbot. Intoku gives you absolute control with a deterministic workflow engine. You define exactly who is contacted, how the dialogue branches, which outcomes matter, and the strict conditions for human intervention.
Customer-defined call schedules and approved scripts
Retry rules and no-response pathways
Safeguarding, concern flags, and operator review
Outcome capture and audit-ready activity records
Supervisor controls to pause or adjust workflows
Operators stay in control of the service
AI should support operators, not bypass them. Intoku automates routine conversations within strict boundaries, ensuring all exception handling, risk assessment, and service decisions remain firmly with your team.
Human-defined call criteria, schedules, and next steps
AI operates strictly within approved routine boundaries
Operator review for exceptions, distress, and safeguarding
Supervisor controls to adapt workflows as service models evolve
Immutable outcome records ensure traceable follow-ups
Next-of-kin escalation built into the workflow
Escalation should not stop at call failed or operator notified. Intoku can define when and how next-of-kin or nominated contacts are involved, what message is sent, what outcome is recorded, and when the case returns to a human operator.
No-response escalation
Define when a nominated contact should be involved after failed contact or repeated retries.
Repeated failed-contact patterns
Surface patterns that may need operator review, family contact, or a local welfare pathway.
Concern raised during call
Route concerning responses into human review and customer-defined escalation handling.
Scheduled family update
Support planned contact workflows where family or nominated contacts are part of the service model.
Operator-approved handover
Keep sensitive handovers under operator control where the workflow requires human approval.
Audit-ready contact trail
Record what happened, who was contacted, what outcome was captured, and when the case returned to the service team.
Will proactive calling break your staffing model?
Transitioning to proactive care is critical, but manually calling hundreds of service users every day will overwhelm your team. Use our capacity calculator to model the operational strain of proactive services—and see how governed AI can deliver proactive care at scale without breaking your staffing model.
Designed for proactive telecare workflows
Intoku can support different proactive contact models while keeping the same operating principle: workflow first, human control, clear escalation, and recorded outcomes.
Operational assurance
Designed for safe service delivery
How it works
The workflow is the governing layer. AI support, operator review, and next-of-kin escalation all sit inside the pathway your service defines.
Define the workflow
Set call groups, schedules, scripts, retry rules, escalation thresholds, and operator review points.
Run proactive calls
Use AI support for suitable routine calls while keeping activity inside the approved pathway.
Capture outcomes and signals
Record responses, failed contact, concerns, reassurance outcomes, and follow-up requirements.
Escalate with control
Hand cases to operators, responders, or nominated contacts through the workflow your service has approved.
Reach every service user safely
Don't let capacity limits restrict your proactive care. Intoku enables your team to scale outbound campaigns with confidence, ensuring every call follows your approved workflow with seamless human oversight.