Introduction

FieldOps Africa is an operational intelligence platform for organizations running field programmes, monitoring activities, and development operations.

FieldOps helps organizations manage field visits, monitoring workflows, findings, corrective actions, integrations, operational reporting, and data analysis in one place.

The platform brings operational information together so teams can capture data once, use it across workflows, and turn it into actionable insight.

Get started View integrations

Start with the essentials

• Create your account

  Register, verify your email address, and access your FieldOps workspace.

  Create an account →

• Invite your team

  Add users to your organization and assign appropriate roles.

  Invite users →

• Connect data sources

  Connect KoboToolbox, ODK Central, DHIS2, and other data sources to bring operational information into FieldOps.

  View integrations →

• Ask the AI Assistant

  Explore your FieldOps data using natural-language questions and get help understanding performance, findings, visits, actions, and operational issues.

  Explore the AI Assistant →

• Access BI datasets

  Create access tokens and connect reporting tools to FieldOps datasets.

  View the BI API →

From field data to operational insight

FieldOps brings together the main stages of operational monitoring:

Capture → Monitor → Integrate → Analyze → Report

Field teams can capture and manage monitoring information, organizations can connect external data sources, and teams can use the resulting information for operational analysis and reporting.

The AI Assistant adds a natural-language layer over the available FieldOps data, allowing users to investigate questions without having to manually search across multiple records.

For example, instead of reviewing individual records to understand a performance problem, you can ask:

Why has Kapsabet Sub-County Hospital been underperforming for the last three months?

The AI Assistant can retrieve relevant information and help explain the underlying operational issues.

Initial documentation scope

This documentation provides practical guidance for:

• Account registration and workspace setup
• Organization user management
• Monitoring templates and monitoring workflows
• Field visits and visit reviews
• Findings and corrective actions
• AI Assistant usage and configuration
• AI providers and models
• KoboToolbox integration
• ODK Central integration
• DHIS2 integration
• Excel imports
• BI access tokens and datasets
• Power BI access

The documentation will continue to expand as FieldOps evolves and new capabilities are introduced.