Go beyond dashboards and spreadsheets. eSuivi's artificial intelligence engine analyses your indicator data to surface hidden trends, predict future performance, and generate actionable recommendations — all accessible through a simple conversational interface.
Get StartedTraditional M&E tells you what happened. eSuivi's AI tells you what is likely to happen next. By analysing historical indicator trends, seasonal patterns, and the rate of data collection, the predictive engine forecasts whether each indicator is on track to meet its end-of-project target — or whether it is heading for a shortfall.
These forecasts are not black-box predictions. eSuivi explains the reasoning behind each insight: "Indicator X has achieved 45% of its annual target in the first two quarters, but the rate of progress has slowed by 12% compared to Q1. At the current trajectory, year-end achievement is projected at 78%. Consider intensifying outreach activities in the southern region where coverage is lowest." This level of contextual intelligence empowers programme managers to act before underperformance becomes irreversible.
Detect upward, downward, or stagnating trends across all indicators.
Project future values based on historical trajectories and seasonality.
Early warnings when indicators are projected to miss their targets.
Actionable suggestions tied to specific indicators and regions.
Not everyone on your team is comfortable building pivot tables or writing database queries. eSuivi's AI chat assistant lets any team member ask questions about project data in plain English — or French, Spanish, and other languages. Type a question like "Which district had the lowest vaccination coverage last quarter?" and the AI retrieves the answer from your indicator database, complete with supporting data and a visual chart.
The chat assistant understands M&E terminology and project context. Ask it to compare performance across reporting periods, summarise indicator trends for a specific outcome, or draft narrative text for your next donor report. Each response is grounded in your actual data — not generic information — ensuring accuracy and relevance to your specific programme.
You: "How is our maternal health indicator performing compared to last year?"
AI: "The number of facility-based deliveries has increased by 23% year-over-year, from 1,840 in Q1 2025 to 2,263 in Q1 2026. You are currently at 67% of the annual target. At this rate, you are projected to exceed the target by approximately 8% by year-end. The strongest gains are in Kisumu County (+31%), while Turkana remains below target at 42% achievement."
Beyond on-demand queries, eSuivi's AI proactively analyses your data and surfaces insights you might not have thought to look for. After each data sync or indicator update, the engine scans for anomalies — unexpected spikes or drops, indicators that have stalled, or geographic disparities that warrant investigation.
These automated insights appear as notification cards on your dashboard, each with a brief summary, supporting evidence, and a suggested action. Think of it as having a tireless data analyst on your team who reviews every number, every day, and flags only the findings that matter. This capability is especially valuable for large portfolios where no single person can keep every indicator in their head.
AI analysis runs on a managed token budget allocated to your organisation's plan. eSuivi tracks token usage transparently — you always know how much AI capacity has been consumed and how much remains. Unused tokens roll over month to month, so nothing is wasted. All data sent to the AI engine is encrypted in transit and processed in compliance with data protection standards. Beneficiary-level personally identifiable information is never included in AI queries.
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