M&E Workflow Automation

Automate the repetitive data work behind every M&E cycle, from coding to reporting.

Not a Single AI Prompt. A Multi-Step Process.

Workflows chain multiple AI steps with quality gates between each one. Your data goes in, structured output comes out, and every step is logged.

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Your Data & Templates

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Multi-Step Workflow Engine

Quality-Checked Output

Quality That Stands Up

The hard part of AI for M&E is not generating output. It is making sure the output is right, the data is safe, and the work is reproducible. Our pipelines are built around that.

Quality gates between every step

Errors caught at each join, not at the end. Output that fails a check never reaches the next stage.

Local-first by default

Sensitive data stays on your infrastructure. Cloud models only when needed, with deterministic de-identification.

Every run logged and reproducible

Full audit trail for AI-assisted work. Re-run on new data and get the same output shape.

Modular, not monolithic

Small steps you can swap, inspect, or replace. Not a black-box automation you cannot reason about.

How to Engage

Workflows are delivered through scoped consulting engagements. We work with your data, adapt the workflow to your context, and return results alongside code you can keep running.

2 to 4 weeks

Pilot Engagement

Scoped proof-of-value on a focused subset of your data. Designed to prove the workflow works for your specific task, context, and standards. You get a working workflow, results, and a learning document.

After a successful pilot

Production Deployment

For teams ready to use the workflow on recurring work. We configure for your process, integrate with your data sources, and hand over documentation.

Scoped to your task

Don't see your task?

We build custom workflows for one-off and recurring M&E data work that does not fit a standard shape. Your data, your templates, your donor requirements. Cloud or private deployment.

Request a custom workflow

What Changes

Weeks to code a qualitative datasetCoded dataset with validation at every step
Reading 40 reports manually for evidenceStructured evidence base with citation tracking
Errors surface at the end of the workErrors caught between each step
No audit trail for AI-assisted workEvery run logged and reproducible
Sensitive data uploaded to cloud AILocal models for sensitive stages

Not What You Need?

Workflows are for data-intensive M&E tasks that benefit from multi-step AI. If your need is different, the rest of the site has you covered.

Start with a Pilot

Tell us the task, the volume, and the sensitivity profile. We will scope a pilot that fits.