SmartStaff.io vs Beam AI

SmartStaff.io

AI colleagues grouped into teams that run a repeatable process; every run drafts a plan a human approves before any work executes.

Free / €19.99 / €49.99 / €99.99 per month, Enterprise on request

Beam AI

"Agent OS" for enterprise operations; graph-based agent flows with a Require Consent node and a central approval Inbox.

Free 20 tasks/mo; Pro $50/mo; Scale $3,990/mo

Visit Beam AI

Every row below was checked against Beam AI's own documentation on August 3, 2026, and against our source code for our column. Nothing here is inferred from a competitor's marketing claims.

Where we are ahead

Capabilities where SmartStaff.io does more than Beam AI.

  • Per-run plan drafted before any work executes

    YesSmartStaff.ioNoBeam AI

    Does each execution produce a plan artefact before the first unit of work runs?

  • Plan visible to a human before execution

    YesSmartStaff.ioNoBeam AI

    Can a person read that plan before the work starts?

  • Plan editable by a human before execution

    YesSmartStaff.ioNoBeam AI

    Can a person rewrite, reorder or drop steps and then approve?

  • Gate is ON by default, not opt-in

    YesSmartStaff.ioPartlyBeam AI

    Out of the box, does a human have to approve something before side effects happen?

  • Confidence score computed structurally, not self-reported

    YesSmartStaff.ioNoBeam AI

    Is there a plan/run confidence score derived from checkable structure rather than asked of the model?

  • MCP client

    YesSmartStaff.ioNoBeam AI

    Can it consume external MCP servers as tools?

  • Trigger: platform-issued inbound email address

    YesSmartStaff.ioNoBeam AI

    Does the platform mint an address that starts a run, as opposed to polling a mailbox you own?

  • EU data residency for application data

    YesSmartStaff.ioPartlyBeam AI

    Is there a documented EU location for the customer's stored data?

  • Czech-language product UI

    YesSmartStaff.ioNoBeam AI

    Is the product interface available in Czech?

Where Beam AI is ahead

We are not going to pretend these do not exist. If one of them decides your case, buy theirs.

  • Process definition separate from execution

    PartlySmartStaff.ioYesBeam AI

    Is there a durable process definition distinct from an individual run of it?

  • Per-action (tool call) approval

    NoSmartStaff.ioYesBeam AI

    Can an individual tool call be gated mid-execution?

    'Require Consent' node: agent pauses, shows steps completed so far and the proposed action, human picks Accept / Reject / Provide Feedback. Resumption does not re-execute completed steps.

  • Final-output approval

    NoSmartStaff.ioYesBeam AI

    Is there a review gate on the deliverable before it is sent?

  • Trigger: schedule / cron

    NoSmartStaff.ioYesBeam AI

    Can a run start on a schedule?

  • Trigger: Slack / Teams

    NoSmartStaff.ioYesBeam AI

    Can work be started from a chat platform?

  • Non-interactive API credential (API keys)

    PartlySmartStaff.ioYesBeam AI

    Is there a machine credential, so server-to-server callers need not hold a user session?

  • SOC 2 Type II

    NoSmartStaff.ioYesBeam AI

    Is there a SOC 2 Type II report?

Where we are level

Both platforms answer these the same way.

  • Process definition versioned (history + rollback)

    NoSmartStaff.ioNoBeam AI

    Is there version history with a way back to a previous version?

  • Diff between versions

    NoSmartStaff.ioNoBeam AI

    Can two versions be compared side by side?

  • Staging/prod environments or git sync

    NoSmartStaff.ioNoBeam AI

    Is there a promotion path between environments, or git-backed source control?

  • Human feedback automatically changes later runs

    YesSmartStaff.ioYesBeam AI

    Does a correction on a finished run alter behaviour on subsequent runs without a human editing a prompt?

    Learning Hub / Optimize Outputs: mark failed outputs, tag the error type, AI rewrites the tool PROMPT, auto-retests against the same cases, human clicks Apply then Publish. Learns prompts, not rules; entirely human-initiated. The homepage claim 'gets better with each run' overstates the documented mechanism.

  • Learned rules are scoped and human-auditable

    PartlySmartStaff.ioPartlyBeam AI

    Can a person list what the system has learned, see where it was applied, and retire it?

  • Prebuilt agent catalogue (personas, not workflow templates)

    PartlySmartStaff.ioPartlyBeam AI

    Can you adopt a ready-made agent persona, as opposed to a workflow template?

  • MCP server

    YesSmartStaff.ioYesBeam AI

    Does it expose itself over MCP to external AI clients?

  • External AI client can clear a human gate over MCP

    YesSmartStaff.ioYesBeam AI

    Can Claude/ChatGPT approve or reject pending work through the MCP surface?

    The Beam MCP server exposes approveTaskExecution and rejectTaskExecution alongside createAgentTask and submitUserInput — the only close analogue found.

  • Trigger: webhook / API

    YesSmartStaff.ioYesBeam AI

    Can an outside system start a run over HTTP?

  • Run audit trail / event timeline

    YesSmartStaff.ioYesBeam AI

    Is there a per-run record of what happened, step by step?

Not verified

We could not confirm these from Beam AI's own material. Absence of evidence is not evidence of absence — ask them.

  • Multi-agent team with role-specialised members

    YesSmartStaff.ioNot verifiedBeam AI

    Is a team of differently-roled agents a first-class product concept?

  • Per-agent knowledge base (RAG)

    YesSmartStaff.ioNot verifiedBeam AI

    Can knowledge be attached to an individual agent and retrieved at run time?

  • MCP server with OAuth 2.1

    YesSmartStaff.ioNot verifiedBeam AI

    Is that MCP server protected by OAuth 2.1 with spec discovery, rather than a static bearer key?

  • Self-hosting / customer-controlled deployment

    PartlySmartStaff.ioNot verifiedBeam AI

    Can the customer run it in infrastructure they control?

  • Documented control over LLM inference region

    PartlySmartStaff.ioNot verifiedBeam AI

    Is there a documented way to constrain where the prompt is processed, or to bring your own model?

  • ISO 27001

    NoSmartStaff.ioNot verifiedBeam AI

    Is the vendor ISO 27001 certified (not merely 'aligned' or engaged)?

    Claimed on the homepage ('GDPR, ISO 27001 and SOC 2 Type II compliant') but the security page itself does not claim ISO 27001. Verify before use.

Every run drafts a plan you approve before any work happens. The free plan needs no card.

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