Welcome to Enpath

Where evidence meets artificial intelligence.

Applied research for governments and organizations that make decisions with artificial intelligence, on evidence anyone can check.

Research · Advisory · Training

Trust

Built on evidence.

  • 46

    Investigations and analyses published

  • 100%

    With their methodology published

  • Traceable

    Every conclusion, back to its source

  • Human

    Final review by a researcher

  • AI + people

    The machine analyses; people answer for it

How we work

From evidence to decision.

Five steps, always the same, published alongside every report.

  1. 01

    Problem

    A decision with real consequences, framed as a question that can actually be answered.

  2. 02

    Sources

    We gather regulation, contracts, official data and literature, and record every one of them.

  3. 03

    AI analysis

    Artificial intelligence reads thousands of pages and finds what a human team could not reach.

  4. 04

    Human verification

    Our researchers check every claim against its source. Nothing is published without that step.

  5. 05

    Recommendation

    Traceable conclusions, with their method, their confidence level and their limits in plain view.

Research

Open research on artificial intelligence and public decisions, with a public methodology and verifiable sources.

See the publications
Colleagues collaborating over documents at a desk.

Government advisory

AI governance, evidence-based decisions, and transformation of the state, for ministries, regulators, and subnational governments.

Services for governments
The colonnade of the Capitolio Nacional in Bogotá.

Private-sector advisory

AI governance and risk and evidence-based strategy, for boards and executive teams.

Private-sector services
A group meeting around a table in a modern boardroom.

Data governance

Data-governance operating models — roles, processes, and standards — as the foundation of any AI or evidence strategy.

About the service
Close-up of server hardware with status lights.

Training

Training for public and executive teams on decisions with data and artificial intelligence.

See the programs
People attending a seminar in a large room.

Independent audits

Audits of AI systems with a public methodology and a non-negotiable result — a verifiable external signal.

About the audits
A person analyzing data on a computer screen.

Where we stand

Why Enpath?

Public methods

We do not work with black boxes.

The method is published with the result. Every conclusion can be traced back to the source that supports it.

Supervised AI

AI speeds up the analysis; people answer for it.

No finding reaches a report until a researcher has checked it against its source and signed for it.

Independence

We do not build AI to sell it.

We evaluate existing technologies. When we make a judgment, we have no product of our own to defend.

Methodology

What a public methodology means.

Five documented stages. You can walk through them here, and find them in every report.

We start with the decision, not the data.

We define what is being decided, who decides, and what evidence would change that decision. A badly framed question is not fixed later with more analysis.

Published: the scope and the research questions

Primary sources, with their provenance.

We identify regulation, contracts, official data and reviewed literature. For each source we record its origin, its date and its known limitations.

Published: the full inventory of sources

AI reads the corpus; nothing is left loose.

Automated analysis processes the whole set and extracts candidate findings. Each one stays tied to the exact passage of the document that supports it.

Published: the assessment criteria

We say how much we know, and how much we do not.

We grade every finding by the strength of the evidence behind it. Where the evidence falls short, we say so, instead of rounding towards certainty.

Published: the confidence level of every finding

Someone puts their name to it.

A researcher checks every claim against its source and takes responsibility for the document. Responsibility is not delegated to a model.

Published: who reviewed it, and when

See the full methodology

Do you need evidence for an important decision?

We help governments and organizations turn complex information into responsible decisions.