SmartStaff.io vs CrewAI AMP

Can a person read that plan before the work starts?

Console log output only ('[INFO]: Planning the crew execution' plus a markdown plan). A log, not a review surface.

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

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

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

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

crewai train distils feedback into `suggestions` keyed by agent_role, and thereafter 'each agent automatically loads its consolidated suggestions and appends them to the task prompt as mandatory instructions'. Requires an interactive session and blocks in non-interactive environments. Separately, mid-run HITL feedback is explicitly single-execution only.

Does it expose itself over MCP to external AI clients?

'Export as MCP server: Yes' appears on the pricing matrix and an Export as MCP option is described in a deployed automation's Options menu, but no how-to page exists and no doc names a consuming client.

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

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

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

No EU SaaS region — the entire subprocessor list is AWS (US) and Plain, and no GDPR DPA was found. The documented EU answer is to self-host in your own EU cloud region.

Is the product interface available in Czech?

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

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

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

Can work be started from a chat platform?

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

Can the customer run it in infrastructure they control?

Strongest in field: Helm charts for EKS/AKS/GKE, Terraform modules for all three clouds, private registry mirroring for air-gapped environments, self-hosted SSO. 'Deploy on CrewAI cloud, your own VPC, or your own infrastructure.'

Is there a SOC 2 Type II report?

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

planning=True runs an AgentPlanner 'before each Crew iteration', but the plan 'will be added to each task description' and execution continues. No pause, no approval, no edit affordance.

Can an individual tool call be gated mid-execution?

Can two versions be compared side by side?

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

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

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

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

Can it consume external MCP servers as tools?

Can an outside system start a run over HTTP?

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

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

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

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

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

Can a run start on a schedule?