What could automation
save you?
Model the impact of deploying DSM AI agents on one of your manual workflows. Adjust the inputs to match your operation — the estimate updates live. Nothing is sent anywhere; the math runs entirely in your browser.
Loads typical values — tweak anything below.
Share of output redone due to manual mistakes.
Portion of these hours DSM agents can take over.
Projected net annual savings
After platform costs, per year.
Payback
to break even
Annual cost of running this one workflow, before vs after automation.
3-yr ROI
3-yr net gain
Hrs reclaimed/yr
FTE equivalent
How this is calculated
Estimate based on 47 working weeks/yr, an 1,880-hour FTE, and an ~85% cut in rework on the automated share. Figures are directional planning inputs, not a quote — book a 48-hour scoping for a precise model.
Grounded in our deployment data
Default coverage and error-reduction assumptions are drawn from DSM's production automations (68–89% process-time reduction across 50+ deployments). Your mileage depends on workflow complexity, data quality, and integration surface.