Blind outreach burns effort and still misses cases
Active case finding without predictive targeting sends teams to the wrong wards—while missing TB keeps spreading.
Scattershot field work
Plans lean on static lists and last quarter’s maps, not live risk signals from patients, contacts, and place.
Low-yield screening
Teams cover volume, not risk—driving cost per case found up and detection down.
Late hotspot response
By the time a ward is flagged manually, transmission has already widened.
Contact follow-ups slip
High-yield contacts get buried in undifferentiated queues and paperwork.
Precision micro-plans
Predictive hotspots and agent-assisted priorities put field capacity where missing cases actually are.
Risk-led targeting
Ward- and hex-level forecasts focus screening where yield is highest.
Actionable micro-ACF plans
Assign teams, track coverage, and close loops in one workspace—not a stack of sheets.
Prioritized contacts
Follow-ups surface by likelihood of TB—so limited staff time finds more cases.
Precision case finding, measured.
AI-ACF is built so scarce field time finds more missing cases—by predicting risk and prioritizing the right wards and contacts.
Traditional outreach optimizes for coverage volume. We optimize for yield: hotspot forecasts, micro-plans, and contact intelligence that shrink the gap between signal and action.
Hotspot forecasting
Surface emerging risk hexes so screening focuses where TB is rising.
Micro-ACF plans
Generate ward-level outreach, assign teams, and track coverage in one place.
Contact intelligence
Prioritize high-yield contacts so limited staff time closes the right loops.
Find missing cases with precision, not volume
AI-ACF pairs predictive targeting with field workflows—so every visit raises detection yield.
District & taluka fit
Align forecasts to your admin boundaries—plans match how programs actually work.
Higher yield per outing
Replace scattershot campaigns with risk-led lists that find more cases per day.
Field recommendations
Ask the ACF agent what to do next against live project signals.
From signals to micro-ACF plans
AI-ACF turns patient, contact, and geospatial data into prioritized outreach—so teams find missing cases faster.
01
Ingest field signals
Pull patient, contact, and geospatial signals already available in your active case-finding workflow.
02
Forecast hotspots
ML models predict where missing cases are most likely—by ward, hex, or other micro-geographies.
03
Build micro-plans
Generate digital micro-ACF plans with team coverage and prioritized high-yield contacts.
04
Guide field action
Agents recommend next steps on live project data so outreach stays timely and targeted.
Precision targeting beats volume-first outreach
Active case finding only works when scarce field time goes to the highest-yield places and contacts—not the nearest list.
| Capability | Traditional ACF | With AI-ACF |
|---|---|---|
| Targeting | Broad campaigns by geography alone | ML-backed hotspot forecasts by ward / hex |
| Field planning | Paper micro-plans and ad-hoc assignments | Digital micro-ACF plans with team coverage |
| Contact tracing | Undifferentiated follow-up queues | Prioritized high-yield contacts |
| Timing | Reactive after cases are already clustered | Predictive alerts before transmission spreads |
| Guidance | SOPs without live risk context | Agent recommendations on project data |
Field intelligence with responsible access
AI-ACF handles patient and contact signals carefully—so predictive targeting never comes at the cost of trust.
Scoped visibility
Teams work within their assigned geographies and projects—not an open pool of case data.
Protected workflows
Secure authentication and transport keep micro-plans and contact priorities confidential.
Purpose-bound use
Signals power case finding only—aligned to your program’s operational mandate.
Explainable guidance
Recommendations stay tied to project data so supervisors can review why a ward or contact rose.
Start finding missing cases with precision
Get started with AI-ACF, or contact us to discuss a pilot for your geography.
Questions about AI-ACF
How predictive targeting and micro-plans help field teams find missing TB cases.