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Beam AI

by Beam AINew York, NY, United States (reported headquarters); the company also lists offices in Berlin, Abu Dhabi, and KarachiNo ratings yet

Agentic automation platform for enterprise back-office processes

Visit beam.ai

Linked from beam.ai · checked 29 Oct

Tool type
Enterprise agentic automation platform
Made for
Enterprise finance, operations and shared-services teams
Runs on
Beam cloud (EU, US, GCC), customer cloud, or on-prem
Deployment options listed on the page; end users interact through a web interface.
Last checked
29 Oct 2026
1 product sources

What it does

Beam is an enterprise platform for building AI agents that automate back-office work such as accounts payable, order management, customer support, and recruiting. A team uploads the rulebook it already follows, and Beam builds an agent from it without code. In the examples shown, the agent matches invoices to purchase orders and goods receipts in SAP, posts them, and flags exceptions.

Beam begins by mapping a department's processes and ranking them by volume and cost. Routine cases run on their own, while anything above a configured threshold waits for a person, and every step is logged for audit. Feedback from reviewers is applied to later runs, and agents can also be described in chat and built without code.

Deployment options are Beam cloud in the EU, the US or the GCC, a customer's own cloud, or fully on-prem. The page lists 1,000+ integrations, SOC 2 Type II and GDPR compliance, and offers both a Try Beam link and a demo booking link. Pricing and trial terms are not stated, and the metrics shown are vendor-reported.

What it can do

  • Maps processes in a department and ranks them by volume and cost
  • Builds agents from uploaded SOP rulebooks or plain-language descriptions
  • Performs three-way matching of invoices against purchase orders and goods receipts
  • Posts invoices and credit notes to SAP and similar systems
  • Routes exceptions and high-value approvals to people, with an audit log of each step
  • Applies reviewer feedback to improve agent accuracy over subsequent runs

Works with

  • SAP
  • DATEV
  • Salesforce
  • Workday
  • Microsoft Teams

Before you choose

  • Exceptions above configured thresholds wait for human approval, so reviewer capacity should be planned.
  • Deployment location (EU, US, GCC, own cloud or on-prem) should be chosen to match data residency requirements.
  • Accuracy and time-savings figures on the page are vendor-reported and should be validated on your own data.

Listed under

Get started

The page links to a demo booking form and to the Beam app; pricing and trial terms are not stated.

  1. Map the department's processes and rank them by volume and cost.
  2. Upload the existing rulebook or describe the work in chat so Beam builds the agent.
  3. Connect systems such as SAP, set approval thresholds, and choose a deployment location.
Book a demo or try Beam

Plans and prices

Billing model and commercial terms must be confirmed with the vendor via a demo or contact request.

We couldn’t find published prices for Beam AI. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Where this comes from

How we research
Company website
beam.ai: product, pricing and policy pages
YC directory mirror
Batch and company name
Social accounts
Accounts the company links, and its posts on X
Human review
Checked by a person
knowledge_base
manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.