Changing an agent is even harder than building one.
Test mode is our savior. You get to run different versions of your agent until it perfectly delivers the answer you’re looking for.
See how we build, test and run with Beam: https://t.co/npYCgpMKh1
The challenge has moved from building AI agents to trusting they run well.
We’ve seen enterprise-level concerns range from transparency to consistency every time an agents handles a job.
What you see here is how we achieve results from even simple builds on Beam.
Check out the Beam Platform: https://t.co/bwKGzO7lyx
#build #agents #howto #saas
There’s always a trade-off when finding opportunities for automating enterprises.
And it’s not always easy to visualize when the information is scattered org-wide.
With Discovery, this is the system we use to map your team’s opportunities against their value, cost, and time.
See how the Beam team finds your agentic gold: https://t.co/TLF8SDU0KP
“It’s the first time an AI has collected information from me, instead of me entering information to get a result.”
That’s Rodrigo Alfaro, Senior Team Lead at Alloyed, describing his experience with Beam Discovery.
Your people know where the time goes, what gets repeated, and where work gets stuck. That knowledge is a useful place to start when deciding where to invest in AI.
At Alloyed, Discovery interviewed the team through conversations, capturing how their work actually happens.
Discovery uses your team’s answers to identify automation opportunities and rank them by estimated value, so you can decide where to start.
Swipe through to hear what Alloyed’s team had to say.
Also join us for a free masterclass with Alloyed this Thursday: https://t.co/iQnKJJQEQs
The most automatable processes live in people’s heads and the most detailed overview they can offer might come in their local languages.
Beam Discovery ensures nothing gets lost in translation.
We interview in 71 languages and make the learnings accessible to the wider team to create global enterprise-wide value.
Talk to Discovery: https://t.co/TLF8SDU0KP
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: https://t.co/TLF8SDU0KP
$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: https://t.co/TLF8SDU0KP
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: https://t.co/TLF8SDU0KP
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 → https://t.co/TLF8SDU0KP
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 → https://t.co/lAIjqqcM6A
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 -> https://t.co/iQnKJJQEQs
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 -> https://t.co/7eOpH1zZdh
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 👇
https://t.co/VMaXVB6K3Q
#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 -> https://t.co/QXbNK6KLHx
"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 -> https://t.co/43fmdIxqeD
#DeepSeek #AI #News