Web research
Check a supplier’s or a customer’s public details.
Research · Example capabilityBeam AI turns back-office processes and SOPs into agents with approval thresholds. SpringBrand lets finance, HR and support teams describe a job in chat, save it as an agent and run it on a schedule, with published pricing.
Interactive preview · Curated examples, not live agent runs
A fictional example of a finance agent checking invoices against POs and receipts.
| Invoice | Match | Status |
|---|---|---|
| 01INV-2291 | PO and receipt agree | Ready |
| 02INV-2304 | Billed 120, received 100 | Check |
| 03INV-2310 | No PO found | Check |
41 of 44 invoices match. Two quantity gaps and one missing PO are listed with links for AP to resolve before payment.
Invoices, POs and receipts → matched lines → a mismatch list for AP
Choose Beam AI when a high-volume finance, HR or support process already lives in a detailed SOP and decisions above a threshold must wait for a person, with every step logged.
Choose SpringBrand when you want a Beam AI alternative for the judgement work around those processes: describe a job in chat, add your company documents and get the result in Slack or Teams on a schedule.
Both products build agents from a description and both learn from feedback. Each row is a question teams ask when Beam AI is on the table, answered from both products’ public pages.
Swipe the table to compare both platforms.
| What matters to your team | Beam AI Agentic process automation | |
|---|---|---|
| How do I build an agent? | Describe the job in chat and confirm the setup SpringBrand proposes, or fill in four parts in a form. No canvas or recipe. | Describe the agent in chat or upload your SOP; Beam AI builds the steps, tools and trigger. |
| What work is it built for? | Screening, drafting, research and recurring reports that finance, HR, support and sales teams repeat. | High-volume back-office processes in finance, HR, support, insurance and similar. |
| What happens while I’m offline? | Agents run in the cloud 24/7 and on schedules by day, week or set time; results post to Slack, Teams or Lark. | Flows start from triggers; routine cases run on their own and exceptions wait for approval. |
| How does it get better? | Learns from results and feedback after every run and remembers your team’s preferences and formats. | Learns from corrections; Learning Hub drafts instruction fixes for you to review. |
| What can it connect to? | Marketplace Agents, Skills and 10,000+ APIs and plugins; built-in search, social, SEO and sales data; your Gmail, Slack and HubSpot. | Business-system integrations such as SAP; plans include 1, 3 or custom base integrations. |
| How many jobs can run at once? | 1, 2, 5 or 20 agents at once on Free, Plus, Pro and Max. | Volume set by tasks per plan; Scale lists high-volume task execution. |
| Who on my team can use it? | Share an agent by link or publish it; Owner, Admin and Member roles, pooled credits; SSO and SCIM on Enterprise. | Role-based access, approval thresholds and audit logs; solution engineers on Custom. |
| What will it cost? | Published: Plus $29, Pro $59, Max $199 a month; Team plans from $41 per seat. | Published: Pro $50 a month (200 tasks), Scale $3,990 a month, Custom. |
| Where can I start for free? | Free plan: 300 credits on signup, then 100 a month. No credit card required. | Free plan: 20 tasks a month and 1 base integration. |
Tell SpringBrand what you need in plain language. It proposes the agent’s setup, you confirm it, and the same conversation becomes the place the agent runs. There is no recipe to design and no ticket to file.
Prefer a form? Fill in the same four parts: instructions, data sources, connected apps such as Gmail or Sheets, and skills. Either way, review the first result before you save it as an agent your team can reuse.
Match this week’s supplier invoices to POs and receipts, then list every mismatch.
The goal, the inputs and the format you want back
Instructions, data sources, connected apps and skills
A first result to review, then a reusable agent
Most teams start in the SpringBrand app. If you already work in Claude Code, Codex or Cursor, connect SpringBrand through MCP and call the same APIs and plugins from there. It is a second way in, not a requirement.
Beam AI agents run inside its own workspace, with Beam AI available from any page and integrations configured in chat. Check Beam AI’s current documentation if MCP access matters to your team.
Explore MCP client setupConnect SpringBrand’s MCP tools to your Claude Code session.
View Claude Code setupA saved agent runs in the cloud 24/7. It can start on a schedule, from a teammate or from an @mention in Slack, and keep going for minutes or days until the goal is met. Results arrive where your team already works: Slack, Microsoft Teams, Google Chat or iMessage.
Each run reads from and writes to the apps you connect, such as Gmail, Slack and HubSpot, and keeps the sources next to the result so a reviewer can check them before anything is shared.
Explore the workflow exampleA clear update and an actionable next step.
Start from what is already built. The marketplace has ready-made Agents by function, such as Sales, Marketing and HR, Skills that add expertise such as financial modelling, and APIs for data and tools.
Credits work across 10,000+ APIs and plugins, with search, social, SEO and sales data built in and no API keys to manage. Ten tool subscriptions and ten bills become one subscription and one bill, and your own Gmail, Slack and HubSpot accounts connect once.
Beam AI focuses on business systems such as SAP for process work, with auto-fill and AI auto-fix for integration steps. For a Beam AI alternative, check whether the job runs on internal systems or needs search, social, SEO and company data.
Explore the marketplaceCheck a supplier’s or a customer’s public details.
Research · Example capabilityTurn help articles into sourced reply material.
Research · Example capabilityThe task guides the tool selection.
Illustrative categories. Credits work across 10,000+ APIs and plugins; check live availability.
Add policies, guidelines and product material to a company knowledge base. Agents use your company’s docs and data, so their output follows your terms, formats and rules instead of generic advice.
In this example, a brief from Google Drive and handoff notes from Notion become a short summary with a source for each point and one open question, so a reviewer sees what is settled and what still needs a decision.
Beam AI builds an agent from a rulebook you upload, even one that runs to 200 pages. Compare that with attaching the documents and data a single team task needs.
Explore Google Drive MCPThe draft is ready for review. One owner and one date still need confirmation.
Pick a schedule by day, by week or at a set time. The agent runs in the cloud while you are offline and posts the result to Slack, Microsoft Teams or Lark, so the Friday mismatch list or the Monday ticket summary is waiting when the team starts.
SpringBrand runs saved agents on a schedule: 3 daily tasks on Plus, 20 every 15 minutes on Pro and unlimited every 5 minutes on Max. Beam AI flows start from triggers and run routine cases on their own, holding anything above your thresholds for approval.
Start with one run you review. Check what happens when a source is missing or a tool call fails, and confirm the next run will not repeat work. Then let the schedule take over.
Compare plans for recurring workExample routine · Every Monday
Topics, volumes and repeat questions
With links to example tickets
Ready for support leads to act on
Plus runs 3 scheduled tasks daily, Pro 20 every 15 min and Max unlimited every 5 min.
Both publish plans. SpringBrand counts credits; Beam AI counts tasks per month. Compare the same job on both.
Plus · Monthly price; lower when billed annually
Published Pro monthly price
Prices checked October 24, 2026. Units differ: SpringBrand counts credits, and other products count tasks, recipes or contract usage. Price the same job on both; no like-for-like savings are implied.
When comparing SpringBrand vs Beam AI pricing, start from one representative job and its monthly volume. A Beam AI task and a SpringBrand credit measure different things, so price the same job end to end on both.
Beam AI plans count tasks per month; SpringBrand counts credits per run (about 15–40 for a typical agent task). Price the same job, including retries.
Check how many base integrations each plan includes on Beam AI, and whether SpringBrand’s built-in data sources cover what the job needs.
Estimate how often the job runs and how many people use it. Check scheduled-task limits, concurrency and plan volume against that workload.
Start from who owns the work and how soon the first result has to arrive. Many teams end up using both.
You run a finance, HR or support team and need an agent this week, not a process rollout.
You automate high-volume back-office processes such as invoice matching, claims or HR requests.
You rarely need to move everything. Pick one recurring job that a business team owns, write down its inputs and the result it must produce, and rebuild that job as a SpringBrand agent.
Keep Beam AI for the back-office processes it already runs. Use SpringBrand for the screening, drafting and reporting jobs around them, and compare one output side by side before you move anything else. Run both in parallel for a week before you switch the old flow off.
Explore a workflow examplePick one job a front-office team owns, such as a feedback report or a content brief. Keep its goal, inputs, expected format and reviewer.
List the systems and data the job uses. Connect your own accounts in SpringBrand and use built-in data sources where they cover the need; keep SAP-side processes on Beam AI.
Rewrite the SOP steps the job depends on as plain-language instructions and attach the documents it needs. Do not assume learned corrections transfer automatically.
Run the agent once, compare the output with your current result, then set the schedule and the channel it reports to.
Manual evaluation and setup. No automatic Beam AI import is offered.
Compare AI agent builders, scheduled agents, integrations and pricing.
It is for the judgement work around processes. If a finance, HR or support team needs mismatches listed, onboarding checklists prepared or reply drafts written from the help center, SpringBrand lets them describe the job, save it as an agent and schedule it. For high-volume back-office processes built from SOPs, Beam AI is the closer fit.
Beam AI is an agentic process automation platform: it maps processes, builds agents from SOPs and routes decisions above your thresholds to a person. SpringBrand is an AI agent builder for everyday team work, with a marketplace of Agents, Skills and APIs and built-in search, social, SEO and sales data.
Yes. Since July 2026 Beam AI can set up and edit an agent from a description, and its onboarding builds a first agent in chat. SpringBrand builds agents in chat too: describe what you need, confirm the setup it proposes, or fill in instructions, data sources, connected apps and skills in a form.
Both do. Beam AI learns from corrections and its Learning Hub drafts instruction fixes for review. SpringBrand agents improve after every run from results and feedback, and remember your team’s preferences, output formats and usual tools.
You decide what it can reach. It only uses the accounts and permissions you connect, and you review the result of a task before you save it as an agent or put it on a schedule. Many official agents prepare drafts — emails, replies, posts — for your team to approve rather than sending them. SpringBrand does not offer Beam AI’s threshold-based approval routing for process decisions.
Agents work from live data, the tools you allow and your company documents rather than from model memory alone, and many tasks return sources with the result. Review the first runs; the agent learns from your feedback, so later runs need fewer corrections. Beam AI’s Pro plan lists output evaluation for process outputs.
One subscription and one credit balance cover the models, APIs and data an agent uses — instead of a separate subscription and bill for every tool. A typical agent task uses about 15–40 credits; each plan lists its monthly credits, agents at once and scheduled-task capacity, and top-ups are $5 per 1,000 credits. Beam AI counts tasks per month instead, so compare the same job on both.
Upload company documents and connect only the accounts you choose; the agent uses them to work with your context. For security details, see springbrand.ai/security; Enterprise adds SSO and SCIM.
Beam AI lists Free, Pro at $50 a month for 200 tasks, Scale at $3,990 a month and Custom. SpringBrand lists Free with 300 credits on signup, then Plus $29, Pro $59 and Max $199 a month, lower when billed annually. Tasks and credits are different units, so price the same job on both.
No automatic import is offered. Pick one job, write down its inputs, schedule and expected output, rebuild it as a SpringBrand agent and compare one run. Run both in parallel for a week before you switch the old flow off.
Stay when a high-volume process such as invoice processing, claims or HR requests already runs on Beam AI from a detailed SOP, when decisions above a threshold must wait for approval with every step logged, or when you want process discovery and solution engineers for the rollout.
Describe the task, review the result,
and save your first agent.
Comparison reviewed October 24, 2026. Product details can change.