Interch

Meet Interch™ A multi-layered AI infrastructure built to transform health communication, improve decision support, and increase access to personalized care.
Intelligence for Equitable Health Systems A plug-and-play intelligence engine for digital health.
Orchestrate What Happens Next Frontline-aware AI for health programs, interoperable with your existing infrastructure.

Interch™ is the missing layer between health messaging and care

For years, health communication has favored broadcasting: mass media, apps, community workers. Everyone – ministries, providers, insurers, CSOs, innovators – pushes messages, but there’s no real-time layer that connects and coordinates them.

Meanwhile, the systems behind the scenes – national data repositories, EMRs, and CRMs – were built to record, not to engage or orchestrate care journeys. The result is programs that are fragmented, slow to adapt, and out of step with frontline realities.

The gap is turning health policy, clinic schedules, languages, eligibility, and local context into one helpful next step for each individual – delivered at the right moment, on the right channel.

Interch™ is that layer: powered by Frontline-Aware AI™, it selects the next-best action, delivers it safely and with consent via SMS/WhatsApp/Web/Voice, learns from every interaction, and – being protocol-aligned and culturally aware – closes the loop between systems and people.

Leveraging Frontline-Aware AI™

Frontline-Aware AI™ is Interch’s behavioral intelligence model, combining behavioral science with WHO/MoH-aligned protocols, clinical guidance and local context. It personalizes content, ensures safety and consent, adapts in real time, and learns from community feedback to deliver micro-interventions via SMS, WhatsApp, Mobile and Web – so that health programs can finally coordinate decisions, not just broadcast or record.

Core Capabilities of Frontline-Aware AI™

Step 1
Know the Context
Interch™ reads the realities around each interaction - language & demographics, user (patient/caregiver/CHV), device & delivery channel, and MoH protocols + behavioral logic - to build context.
Step 2
Generate the Right Intervention
That context flows through safety filters and recommendation logic to choose the Next-Best Action, delivered as a WhatsApp/SMS health message, referral, clinician prompt, or risk/dashboard update.
Step 3
Learn from Real-World Behavior
And with every campaign, confirmation, and AI prompt, feedback loops make it smarter and safer - creating a flywheel of trust, adoption, and policy impact.
Step 4
One Engine, Four Outcomes
Health Engagement (1:1 nudges and population campaigns), Clinical Decision Support (short guideline prompts), Community Feedback, and Oversight & Scale (approvals, audit, system integrations).

Built for Systems. Adapted for Context.

  • Public sector & multilaterals: run population-scale campaigns with auditability, localization, and governance.
  • Health providers & payers: automate outreach, support adherence, and reduce avoidable cost through better self-care and earlier action.
  • NGOs & health programs: accelerate Social Behavior Change Communication (SBCC), Community Led Monitoring (CLM), and M&E with faster approvals and measurable impact.
  • Health innovators & startups: white-label Interch™ components to launch new services quickly.

Core Features of Interch™

The following intelligent tools and layers inside Interch™ make its Frontline-Aware AI capabilities actionable, safe, and modular:

Behavioral Intelligence Engine

Personalized content generated by AI pipelines trained on real-world behavior, BCTTv1-based behavior logic, language, and health context.

Personalized Outreach Engine

Adaptive, multi-language delivery across SMS, WhatsApp, and Apps. Built for inclusion.

Assistive Care Matching

Disability screening mapped to real-world Assistive Technology options and referral pathways.

Clinical Pathway Orchestration

Outpatient and chronic care prompts aligned with WHO/MoH protocols and simplified for frontline workflows.

Trust, Safety & Learning

Guardrails, consent checks, and continuous scoring for risk, engagement, and clarity - closing the feedback loop with community input.

Platform & Integration

API-first, HL7 FHIR-ready, and deployable as SaaS/PaaS, embedded module, or API - plugs into EMRs and existing digital systems.

These features already power our frontline solutions

InfoAFYA toolkit
AI-personalized household engagement channels + health campaign engine that helps health teams design, deploy, and test messages at scale.
InfoAFYA™ Signal
AI-powered community feedback infrastructure for primary health systems
AfyaDesk
Clinical decision support aligned to MoH workflows - used in outpatient, chronic, and referral care.
Assist+
Smart referral logic linking disability screening to assistive technology options and local services.
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