Deterministic Agentic Automation

Automation that runs the same way every time

Most AI automation is a black box that behaves differently each run. Cimba runs deterministic, governed workflows, so the same input produces the same result every run, with a human in the loop and every step logged.

SOC 2 Type II certified · Deploys as SaaS or in your VPC

CimbaWorkflow run #212
Running
00:02

Pull ledgers from source systems

done

Step 01

00:07

Reconcile against subledger

done

Step 02

00:09

Flag variances over 2%

done

Step 03

--:--

Await approval to post

waiting

Step 04

same defined path, same result, every run

Illustrative run · every step logged, every action approved by a person

The problem

Non-deterministic AI is hard to trust with real work

If an agent takes a different path on every run, you cannot rely on it for finance or operations. One-off AI answers are impressive in a demo and unusable when the result has to be consistent, explainable, and repeatable.

Cimba was built for consistency, not surprises.

The shift

What changes with deterministic automation

Without Cimba
  • AI takes a different path on every run.
  • Automations are black boxes you cannot explain.
  • Building a workflow means waiting on engineering.
  • You cannot trust the output enough to rely on it.
With Cimba
  • The same input produces the same trusted result.
  • Every step is logged and explainable.
  • Teams build and edit workflows themselves.
  • Human approval sits where it matters.

From unpredictable AI to workflows you can stand behind.

What it is

Playbooks become governed workflows

Turn a recurring analysis or process into a workflow your team can build and edit without engineering. Each workflow runs a defined, governed path.

Runs are deterministic and logged, so the same conditions produce the same outcome, and every step is explainable after the fact.

01

Same result every time

Defined paths mean consistent, repeatable outcomes.

02

No engineering required

Build and edit workflows without waiting on a dev team.

03

Human in the loop

Approvals sit where they matter before anything executes.

01

Define

Capture a playbook as a governed workflow.

02

Run

Execute on demand or on a schedule, along a defined path.

03

Approve

A person signs off at the checkpoints you set.

04

Audit

Every run is logged, step by step, for review.

How it works

A playbook, run the same governed way every time.

Capabilities

What you get

Consistency and control, without stitching tools together.

01

Repeatable workflows

Any analysis becomes a workflow that runs the same trusted way every time.

02

Approval checkpoints

Decide where human sign-off is required before execution.

03

On-demand or scheduled

Trigger a workflow when you need it or let it run on a cadence.

04

Append-only audit

Each run records its steps, actors, and outcomes.

Signals in your data are aging right now

Automate the work without losing control

See a governed workflow run on your data.

SOC 2 Type II · Every action traceable · SaaS or your VPC

Questions

Deterministic agentic automation