Spojit
Audit logs

Who did what, and when.

Spojit keeps a record of every meaningful action: who did it, what changed and when. That includes every tool call an agent makes, and the ones policy refused. Filter by actor, action, outcome or date, on a database kept separate from your workflows.

ryan@acme.com
09:24
updated workflow "Order sync"
system
09:20
ran "Invoice intake"
mara@acme.com
08:58
added connection "Stripe"
ryan@acme.com
08:40
restored version v3
filter
ryan@acme.com
09:24
updated workflow "Order sync"
ryan@acme.com
08:40
restored version v3
Filter by actor, action, outcome or date range
How it works

A trail you can actually use

01

Every action is recorded

Workflow and connection changes, runs, approvals, billing and member changes, plus every tool call an agent makes, all logged with the actor and the time.

02

It is kept apart from your data

Audit events are stored separately from the workflow data they describe, and scoped to your workspace.

03

Filter it down to the answer

Narrow by actor, action, outcome or date range until you have the specific event, then read what it recorded.

Capabilities

Accountability, built in

A complete trail

Meaningful actions across the workspace are captured, so nothing important happens off the record.

Actor on every event

Each event records who or what did it, a person or an automated process, with their identity.

Filter and search

Slice the trail by actor, action, or time window to answer a question in seconds.

Agent tool calls included

Not just what a person changed. Every tool call an agent makes is recorded too, with the connection it used and how it turned out.

Kept apart from your workflows

The record is stored separately from the workflow data it describes, rather than sitting in among the things it is meant to account for.

Tenant-scoped

The trail is isolated to your workspace, so you see your activity and nobody else sees it.

Use cases

Where an audit trail matters

Pass a compliance review

Show exactly who changed what and when, without reconstructing the story from memory.

Investigate an incident

Trace the change that caused a problem back to the action and the person behind it.

Track configuration changes

Keep a record of connection and workflow changes, so surprises in production have an explanation.

Answer for an agent

When someone asks what an AI agent did in your systems, the trail has the tool calls, the connection used, and the ones policy refused.

The difference

A built-in trail vs piecing it together later

The record is captured as things happen, instead of being reconstructed from memory when someone asks.

Lean on the audit log when

  • You need to show who changed what, and when
  • You need to account for what an AI agent did in your systems
  • A review or incident needs a clear paper trail

Without an audit trail you get

  • No reliable answer to "who changed this?"
  • Incidents reconstructed from memory and guesswork
  • A scramble whenever a reviewer asks for evidence

Keep a record you can trust

Start free and get a trail of who did what, and of every tool call your agents make. No card needed.