Side by side
Facts about Zapier Agents were read on its own pages on 2026-09-27; each cell links its source. Facts about tacitrun describe what the product enforces.
| Dimension | tacitrun | Zapier Agents |
|---|---|---|
| How an agent is built | Describe the process in plain English or hand over the SOP; tacitrun compiles a process graph and composes one domain agent per step, carrying your rules and exceptions. | Agents are created with Zapier Copilot from instructions, knowledge sources and templates; since July 2026 an agent is an AI by Zapier step inside a Zap, with a trigger step and the original prompt and tools. [1] |
| Approval before an action | Every write to a connected system stops at the actual call — a person accepts, modifies or rejects in the Queue; the corrected version is what executes. Not an instruction the agent might skip. | Optional: a "Require approval before running" setting per tool in AI by Zapier, and, in the earlier Agents product, a sentence in the instructions such as "ask for my confirmation … before continuing", or a Human-in-the-Loop step in the Zap. [2] |
| Testing before go-live | Evaluation cases derived from the process graph; an agent cannot be submitted until it passes. Then shadow mode on real work, with the agreement rate measured. | No evaluation or test-case feature is described on the product or help pages read. [3] |
| IT governance | IT approval is the go-live gate: IT connects the credentials, binds the fields and approves a locked version. Business builds, IT governs. | SAML SSO and audit log from the Team plan; advanced admin permissions and "Approval requests" for changes to Zaps (beta) on Enterprise. [4] |
| Systems it reaches | 42 built-in connectors plus your own REST APIs (OpenAPI) and MCP servers; all through the same approval gate. | "9,000+ apps" through Zapier’s integration library. [3] |
| Your cloud, your models | Enterprise: agents run in your own GCP project on your own models (Claude on Vertex AI via Workload Identity Federation) or your own OpenAI / Azure OpenAI key. | AI by Zapier prices a "Bring-your-own-model" tier; agents run on Zapier’s platform. [4] |
| Pricing model | Flat monthly plans — Team $1,999/mo, Business $2,999/mo — with a free trial of the whole product; Enterprise custom. No per-task or per-credit metering. | Task-based: AI by Zapier is "priced by model tier … and charged per AI step and per tool call"; plans from Free to Enterprise. [4] |
| Security posture | Tenant isolation enforced in the database (row-level security), immutable audit trail, per-run traces, public DPA; SOC 2 Type II in progress — stated as such. | SAML SSO and audit logging listed from the Team plan upward. [4] |
Choose Zapier Agents when
- Your operations already live in Zaps and the job is adding AI reasoning to a step.
- Breadth of integrations matters more than governance of a single process.
- You want per-task pricing that scales down to a handful of runs.
Choose tacitrun when
- The unit of work is a business process with rules, exceptions and approvals, not a single automation step.
- IT must approve before anything touches a system of record, and every write must wait for a person by design rather than by instruction.
- You need evidence before go-live: tests derived from the process and shadow runs on real work.
Questions people ask
- Is tacitrun a Zapier Agents alternative?
- For operations teams that want a whole process run by governed agents, yes. For adding an AI step inside an existing Zap, AI by Zapier is the closer tool; many teams use both.
- Can tacitrun connect to the apps Zapier connects to?
- tacitrun ships 42 built-in connectors and connects to any REST API with an OpenAPI document or any MCP server, through the same approval gate. It does not aim to match Zapier’s integration count; it aims to govern the writes it makes.
Why offload this process to tacitrun’s AI operating layer
tacitrun is built for exactly this handoff: a business team describes the process it already runs, and the platform turns it into governed domain agents that work across the systems you have, under your IT’s approval, with every write waiting for a person.
- Built from your procedure, not a vendor template
- Describe the process in plain English or hand over the SOP. tacitrun compiles it into a process graph and composes one domain agent per step, so the agents carry your rules, your exceptions and your vocabulary.
- Tested against the process before it can act
- Evaluation cases are derived from the graph itself, so a passing agent is one that does what your process says. Then it runs in shadow beside your team on real work before anyone lets it act.
- Every write stops for a person
- The approval gate sits on the actual call to Salesforce, Shopify, SendGrid, SAP or any connected system. A person accepts, modifies or rejects; the corrected version is what executes; the trace keeps the record.
- Runs across the systems you already have
- Built-in connectors, your own REST APIs or MCP servers, and on the Enterprise plan your own cloud project and your own models. The systems of record stay where they are; the layer does the work between them.
- IT approves, business leads
- Business users build and prove; IT connects the credentials, binds the fields and approves before anything goes live. Neither side inherits the other’s risk.
Sources
- Zapier Help — Migrating from Agents to AI by Zapier
- Zapier Help — Add approval steps to your agent’s instructions
- Zapier Agents product page
- Zapier — Plans & Pricing
Product names belong to their owners. Read on 2026-09-27; tell us if something has changed and we will correct it.
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