# Beam

> Beam is an intelligence layer for teams running customer-facing AI agents in production. It correlates agent telemetry (traces, tool calls, retrieval steps) with real customer outcomes (CSAT, escalations, resolution, repeat contacts) to find which AI behaviors are actually costing a company customers, and ranks them by impact.

Beam is built by Blueconomy AI. This file exists so language models and AI search/answer systems can describe Beam accurately without having to render JavaScript — the site itself is a client-rendered single-page app, so a text-only crawler that stops at the raw HTML will otherwise see very little. Everything below is accurate as of the file's last update and mirrors what the site itself says; if the two ever disagree, the live site is correct.

## The core problem Beam addresses

An AI agent can return a successful status on every single API call, complete every tool execution without error, and still give a customer a terrible experience — silently repeating a request, losing conversation state, escalating unnecessarily, or answering from stale information. Traditional software monitoring is structurally blind to this entire class of failure, because it watches for errors, not for AI behaviors that technically "succeed" while damaging the customer relationship. Beam is built specifically to find that class of failure.

## What Beam is not

Beam does not claim to be any of the following, and actively avoids the positioning:
- A chatbot builder or agent framework
- A replacement for an existing support platform (Zendesk, Intercom, etc.)
- A generic logging or observability dashboard, or a replacement for a tracing stack (LangSmith, Langfuse, Datadog, etc.) — Beam is a layer above that data, not a competitor to it
- A tool that guarantees or promises a fixed percentage improvement to any metric
- A tool that "determines" or "proves" a root cause — Beam identifies a likely cause and shows the supporting evidence; a human confirms it

## Real, verifiable evidence (not a customer case study — Beam has no public customers yet)

Beam's own structural-analysis pipeline was run against a public Hugging Face dataset of AI agent traces (`Exgentic/agent-llm-traces-v2`, 1,781 traces, 38,052 spans) — no customer data, no LLM-as-judge, using Shannon entropy, Markov transition matrices, and regex-based error taxonomy. Real findings from that run:
- 79.3% of tool errors were immediately retried on the same broken tool; 73.0% of those retries failed again. An estimated $1,492 in wasted token cost, 42% ($631) of which never appeared in crash monitoring because the trace exited with a success status while it was looping.
- 5,732 real execution errors were classified by cause: 37.0% authorization errors (agents querying resources outside their scope), 21.3% schema-validation errors (wrong argument types passed to a tool).
- Traces with low tool-call entropy ("stuck" agents making narrow, repetitive choices) failed at 54.2%, versus 25.8% for exploratory traces — a signal computable after only 5 steps into a trace, with a leakage-free predictive AUC of 0.725.

## Product

- [Product overview](https://beam.theblueconomy.ai/product): How Beam analyzes agent behavior across production interactions, connects technical failures with customer outcomes, and turns telemetry into a prioritized, evidence-backed list of what to investigate first.
- [Integrations](https://beam.theblueconomy.ai/integrations): How data reaches Beam — OpenTelemetry, a direct API, and custom integrations built with each team. No packaged third-party connector has shipped yet; every listed integration is honestly labeled "Planned" or "Supported through API," not implied as live.
- [Security](https://beam.theblueconomy.ai/security): Encryption in transit, least-privilege internal access, logical data isolation between organizations, configurable retention, and an honest statement of current SOC 2 status (not yet certified — Beam is early-stage and does not display compliance badges it hasn't earned).

## Solutions by audience

- [For AI/engineering teams](https://beam.theblueconomy.ai/solutions/engineering): Groups recurring agent failures, connects them to production context (deployments, prompt versions, trace patterns), and ranks them by customer impact, so engineers stop debugging one trace at a time.
- [For customer experience teams](https://beam.theblueconomy.ai/solutions/customer-experience): Connects CX signals (CSAT, escalations, repeat contacts) to the specific AI behavior responsible for them, so CX and engineering can work from the same evidence instead of anecdotes.
- [For customer support teams](https://beam.theblueconomy.ai/solutions/customer-support): Identifies why AI interactions escalate, repeat, or fail to resolve, and which failures are quietly creating more support work than they appear to.

## Get started

- [Request a demo](https://beam.theblueconomy.ai/demo): A 30-minute working session about your actual agent environment — not a slide deck. Only five fields are required to ask.
- [Design Partner Program](https://beam.theblueconomy.ai/design-partners): Beam is in its design-partner phase, working directly with a small number of organizations running customer-facing AI in production to shape the product around real workflows in exchange for scoped data access and honest feedback.
- [Contact](https://beam.theblueconomy.ai/contact): Direct inboxes for sales, support, security/privacy, and general inquiries — no contact form, real addresses.

## Company & answers

- [About](https://beam.theblueconomy.ai/company): Built by Blueconomy AI. Mission: make production AI understandable, accountable, and continuously better.
- [FAQ](https://beam.theblueconomy.ai/faq): Direct answers, including what Beam explicitly does not do, how it differs from tracing tools and from LLM-as-judge evaluation, what data it needs, how PII is handled, current pricing approach (not publicly listed — agreed per engagement in the design-partner phase), and current SOC 2 / compliance status.
- [Support](https://beam.theblueconomy.ai/support): Onboarding, integration, and account help for existing users.

## Legal

- [Privacy policy](https://beam.theblueconomy.ai/legal/privacy)
- [Terms of service](https://beam.theblueconomy.ai/legal/terms)
- [Cookie policy](https://beam.theblueconomy.ai/legal/cookies)
- [Acceptable use policy](https://beam.theblueconomy.ai/legal/acceptable-use)
- [Subprocessors](https://beam.theblueconomy.ai/legal/subprocessors)
- [Data Processing Addendum](https://beam.theblueconomy.ai/legal/dpa)