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Enfors gives you one place to see what your AI workforce — people and agents — is actually doing, deciding, and costing. You see what’s being built, how every decision gets made, where the spend goes, and where the same work is being done over and over. Spot trouble before your customers do — an agent drifting, a decision going wrong, effort duplicated across teams — cut the waste, and measure the real return on every dollar of AI.
Enfors live workspace overview

The live workspace view

Two kinds of intelligence

Enfors is organized around two intelligences, both running on one captured source of truth — every agent, session, artifact, and decision captured automatically from your gateway.

Work Intelligence

What your workforce produced — and the hard ROI on it. Day-one value for engineering, AI, and finance leadership: who built what, what it cost, and whether it was worth it.

Decision Intelligence & Audit

Every decision, provable and defensible. Value at scale for risk, compliance, and agent owners: how each decision was reached, with the evidence to back it.
See Use cases for where each pays for itself.

The three pillars

Enfors is built to answer three questions about your AI workforce:

What it is

Every agent and person in your workspace, their sessions, and the work they produce — grouped automatically into Features and Epics.

What & why it decides

Every decision reconstructed into a logic trace, backed by evidence, with outcomes, quality scores, and drift detection.

What it costs

Spend per agent, per session, per shipped value — the basis for the cost conversation you couldn’t have before.
Agent-agnostic, model-agnostic, privacy-respecting. Enfors works with the agents you build, the coding assistants your developers use, and third-party agents you adopt — across Anthropic, OpenAI, Gemini, Bedrock, Azure, or your own deployment. Your data stays in your environment, and Enfors never trains on customer traffic.

Two lenses, one platform

The same data serves two very different people:

The Leader lens

The macro picture: what is my AI workforce doing and costing? Live workspace status, Pulse reports, and natural-language queries — no dashboards to build.

The Builder lens

The micro picture: why did this one agent do what it did? Explore the canvas, walk a session’s decisions, open the logic trace and evidence vault.

Start here

Quickstart

Connect your first agent in a few minutes with the macOS gateway installer.

How Enfors works

The architecture: gateway → decision ledger → graph → product surfaces.

Core concepts

The decision ledger, evidence model, insights, and ROI tracking explained.

MCP & API

Query Enfors from Claude Code, Cursor, or your own tools.