Building AI-native orgs, automating Finance and HR. Trusted by Fortune 500s & Startups.
New York, New York, U.S.A
Joined November 2022
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From scattered procedures to a picture of work across the organization.
Discover your potential: beam.ai/platform/discovery
It’s not enough to collect organizational knowledge, it has to become a core memory for the agents using it.
Discovery maps processes based on collected interviews that build on existing interviews and fills every gap before you’re agent-ready
See how it works: beam.ai/platform/discovery
This is the tool stack that’s taken Fortune 500 and scale-ups AI-native.
beam.ai/agentic-insights/ai-…
$5 million dollars in savings is great, but it’s even better to know about it quicker.
The usual timeline for finding value in your work takes weeks to months. That’s before you can even think about having plans in motion to secure that value.
We're going into the details of how you can act on what matters most with just two core pieces of information.
Speak to Discovery: beam.ai/platform/discovery
What if you could save months building AI agents? Discovery makes it a reality.
Enterprises want to start with their most valuable business case when automating; reality is you’ll never find it entirely on paper.
Aqib explains how Beam Discovery only needs three things to get agents running.
Speak to Discovery: beam.ai/platform/discovery
Introducing Beam Discovery.
It’s not easy to find the most profitable work to automate.
Beam Discovery does it for you. Clients come to us asking where they should spend the AI budget and no idea where to start.
We help define the scope and map it in terms of what you can automate, what costs you save and how to build you AI-first enterprise.
Discover here → beam.ai/platform/discovery
Introducing the OS for self-evolving enterprises.
Three years ago we got in early on AI agents.
While most companies are still experimenting, we’ve been helping organizations become fully AI-native; where today’s work compounds into tomorrow’s advantage.
And we’re taking you through the playbook for the next four weeks.
Start here → beam.ai/
For this one, we called in the cavalry: our partners at Alloyed.
This masterclass will tackle the things your team are still doing manually:
Invoice approvals, order changes, status chasing, refunds - request types that make up the bulk of the work.
Together with Alloyed, we will show what happens when agents take on that volume and what changes for the team that used to handle all of it.
Register -> luma.com/beam-46pm
Come see how we’re using AI in recruiting!
A free, 45-min session where you can bring your questions if you have any.
🚨 Seats are filling in fast -> luma.com/beam-1p31
Frontier LLMs and decision models get all the attention. They're 2 of the 17 kinds of models you can build an agent with.
Our CAIO Aqib Ansari mapped the rest, including the one almost nobody puts in the agent stack: statistical models.
Full breakdown 👇
beam.ai/agentic-insights/ai-…
#AIAgents #automations #AImodels #LLMS #blog #article
Alloyed partners with Beam AI to build and scale the AI Workforce inside client operations.
Beam AI are bringing AI agent deployment, orchestration, and governance into Alloyed's managed-services delivery model.
Agents run the work. Operators make sure it is done right.
Here’s how this changes things -> beam.ai/agentic-insights/bea…
"The most disruptive number in AI this week is not a capability score. It is a price. A new open model got within touching distance of the best closed model on the market, and it did it for roughly one and a half cents on the dollar."
Read our thoughts on DeepSeek V4.1-Flash -> lnkd.in/dMspcEU5
#DeepSeek #AI #News
Access you control. Data that arrives already structured. 🔐
New in Beam: – Role-Based Access Control: decide who can see, run, create or delete each agent, plus integrations, views and billing – Nested Structured Outputs: grouped data, up to 3 levels deep, no manual stitching.
Full release notes -> beam.ai/resources/changelog
Beam AI retweeted
Just ran a simulation on the latest Gemini 3.8 Flash and this is what it built in 12.5 seconds.
Asked it to model process discovery as a map.
People, systems and processes show up as nodes with lines as the actual dependencies. You can drag it, zoom, and click any node for its connections and latency.
Small gold agent crawls the graph, maps one workflow at a time, lights up each connection as it confirms it.
It even shows how payment flow breaks and raises alarms before a remediation agent spawns off the security node and flies over for the fix. Snap, crackle, pop and it's back to 99.9%.
One HTML file made something pretty close to a living map of an organization.
Most AI projects don't fail on the model. They fail because nobody mapped the work first.
Teams automate the visible 30%. The margin lives in the other 70%, in people's heads.
Tomorrow, 16:00 CET. 45 min with @jonasdiezun on process discovery.
Beam AI doesn't wait for you to open it anymore. It's already on the page you're working on, ready to answer, act, or build.
Here's everything new this month. 👇
For more on our latest updates -> beam.ai/resources/changelog
#updates #changelog #beam #aiagents
Most back-office operations depend on work nobody has written down.
Our CEO and Co-founder, @jonas_diezun will be hosting a free webinar (first-come-first-served), showing you how to map what really happens inside an operation before building a single Al Agent and how that changes where you start.
Sign up: luma.com/beam-gjyz
