ROI calculator

What agentic data operations return for your team

Last updated: October 2, 2026

Data Workers is the agentic data platform: specialist agents that close the tickets, fix the incidents and remove the waste across your estate, behind approvals, with a receipt for every change. Enter your own numbers below. Every result is modelled from your inputs, every assumption is editable, and the 25 to 40% cost reduction is the design target of the Cost Savings agent, not a measured result.

1. Your team

2. Your spend

3. Your planning assumptions

4. The result, modelled from your inputs

Engineer hours on tickets and incidents, per month211

About 22% of your team's working hours today.

Hours returned to new work, per month63 to 126

Your back-office hours times the share of work agents close.

Value of those hours, per year$72,555 to $145,111

At your loaded cost, over 1,880 working hours a year per engineer.

Warehouse spend removed, per year (design target)$120,000 to $192,000

The Cost Savings agent's 25 to 40% design target applied to your spend. Your pilot measures the real number.

Modelled annual value$192,555 to $337,111

Hours returned plus warehouse spend removed.

Annual cost: Scale plan plus your model bill$30,000

Scale from $1,000 a month, billed annually, plus the model spend you entered. Enterprise starts at $3,000 a month.

On Enterprise, the annual cost with your model bill is $54,000. Seats are unlimited and there is no usage meter, so the cost doesn't grow as agents take on more of the work. The pilot is $7,500 one-time and is credited in full against the first year. See pricing.

5. How the return builds

Every domain starts at L1 observe, where agents watch and report. At L2 propose, an agent prepares each fix and a named engineer approves it. At L3, agents make reversible changes on their own in the domains that have earned it, such as access grants that expire and reruns of failed loads. L4 is fully autonomous, domain by domain. The share of work agents close grows as each domain climbs on its own record, and every change leaves a receipt saying who or what made it, why, what it touched and how to undo it.

For the reasoning behind each number, read the ROI of agentic data operations, and for the safety model, is it safe to let AI agents change production data?

6. Common questions

Where do these numbers come from?

From your inputs. The page multiplies your ticket and incident volumes by your hours and your loaded cost, applies the share of that work you expect agents to close, and applies the 25 to 40% design target to your warehouse spend. Nothing on the page is a measured result from another company.

Why is the warehouse figure a target and not a promise?

Because it depends on how much waste your estate carries. The Cost Savings agent removes unused tables, idle compute and duplicate pipelines after a dependency check, and 25 to 40% is the range it is designed to reach. Your pilot measures your actual number on your own data.

What should the share of work closed by agents be?

Start low. Every domain begins at L1 observe, moves to L2 propose, where an engineer approves each change, and earns L3, reversible changes without a person in the loop, on its own record. Teams usually start with access requests and failed loads, where the volume is high and every change is reversible.

What does Data Workers cost?

The pilot is $7,500 one-time, credited in full against the first year. Scale starts at $1,000 a month and Enterprise at $3,000 a month, both billed annually. Seats are unlimited, there is no usage meter, and you bring your own model with no markup on model spend.

How do we prove the numbers on our own data?

Run the pilot. A forward-deployed engineer connects your estate and runs the first domains with your team, and every change leaves a receipt, so the hours and the spend are measured from your own records rather than modelled.

Last updated October 2, 2026. The results are a model of your inputs, not a quote or a guarantee. The 25 to 40% figure is a design target. Prices are from dataworkers.io/pricing.