tacitrun vs Lindy

Choose Lindy when individuals want an AI teammate for their own routines across everyday tools, with an approver on outbound actions and per-user pricing; choose tacitrun when a team is handing a whole business process to agents that must be tested against that process, approved by IT, and stopped at every write to a system of record. Lindy is personal leverage; tacitrun is process infrastructure.

Lindy is "the AI teammate that lets you do more": agents ("Lindies") built by showing it a task once or describing it in a sentence, connected to 1,000+ tools, priced per user with credits. [1]

Side by side

Facts about Lindy were read on its own pages on 2026-09-27; each cell links its source. Facts about tacitrun describe what the product enforces.

DimensiontacitrunLindy
How an agent is builtDescribe 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."Show Lindy how you do something once. It’s saved for the whole team" as a skill; "a sentence is all it takes" to create a routine. [1]
Approval before an actionEvery 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."Anything with outside impact waits for a named approver: sending an email, updating a ticket, posting to another channel, publishing a doc"; "read-only lookups from approved sources just happen". [1]
Testing before go-liveEvaluation 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 metrics, benchmarks or test framework are described on the page read. [1]
IT governanceIT approval is the go-live gate: IT connects the credentials, binds the fields and approves a locked version. Business builds, IT governs.SSO, SCIM and audit logs on the Enterprise plan. [1]
Systems it reaches42 built-in connectors plus your own REST APIs (OpenAPI) and MCP servers; all through the same approval gate."1,000+ integrations" including Slack, Gmail, HubSpot, Stripe, Zendesk; MCP servers supported. [1]
Your cloud, your modelsEnterprise: 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.Runs on Lindy’s platform; "your data is never sold and never used for training". [1]
Pricing modelFlat 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.Per user per month with monthly credits (Plus, Pro, Max) and extra credits per 1,000; Enterprise custom; 7-day free trial. [1]
Security postureTenant 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.SOC 2 Type II, GDPR, HIPAA (Enterprise), PIPEDA; encryption in transit and at rest. [1]

Choose Lindy when

  • Individuals want a personal AI teammate for inbox, calendar, docs and chat routines, priced per seat.
  • The actions are everyday outbound messages and updates where a named approver is enough control.
  • You need HIPAA and a certified SOC 2 Type II report today.

Choose tacitrun when

  • The work is a departmental process with systems of record, rules and exceptions, owned by a team and governed by IT.
  • You need evidence before go-live: tests derived from the process and shadow runs on real work, not a trial week.
  • You want agents to run in your own cloud on your own models, and flat pricing for the team rather than per-seat credits.

Questions people ask

Is tacitrun a Lindy alternative?
For teams handing a whole process to governed agents, yes. For an individual who wants an AI teammate for personal routines, Lindy is the closer fit.
Both wait for a person before acting. What is the difference?
Lindy waits for a named approver on outbound actions by policy. tacitrun intercepts the actual call to the system of record, records the exact arguments, and executes the person’s corrected version; the approval is enforced in the runtime, and every run leaves a trace.

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

  1. Lindy home page

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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