Operon ROI Calculator

Estimate the business case. Edit the math.

A transparent, editable model of what Operon is worth in your environment. Seven value categories, conservative defaults, every calculation you can open and change. No login, no email required, no lead form before you see the number.

Methodology open and published Conservative defaults Your inputs stay in your browser Outputs are illustrative, not a contractual commitment
How this calculator works

We'd rather hand you the model than the number.

Most enterprise software ROI calculators ask you a few vague questions and return a suspiciously large figure. This one does the opposite. Every calculation is visible. Every default is editable. Every category is explained. If your number comes out lower than our example, that's informative. If it comes out higher, we should probably talk.

The calculator scores Operon across seven distinct value categories, each of which maps to a specific architectural property of the product. You'll see the contribution of each category separately and a total first-year value estimate at the end.

You're seeing engineering-realistic defaults. Adjust any input to match your environment.

The seven value categories

What Operon is worth, by category.

Each category corresponds to a measurable architectural property of the platform. The in-product dashboard for existing customers runs the exact same categories off real EDT telemetry post-deployment, so the pre-sales model and the post-deployment reality are directly comparable.

CATEGORY 1

Agent execution productivity.

Tasks automated by governed agents that would otherwise require human time.

= monthly executions × time saved × labor cost
CATEGORY 2

Incident prevention (operational).

Drift events caught proactively before agent failure or downstream impact.

= prevented incidents × baseline cost
CATEGORY 3

Incident prevention (shadow-AI).

Ungoverned agent behavior caught before a data-exposure event. Optional, executive view only, requires a discovery program in place.

= prevented incidents × incident cost premium
CATEGORY 4

Effort to maintain agents.

Cumulative engineering and compliance work to keep production agents running. Source schema changes, regulatory updates, policy changes, business-rule revisions, design corrections, every one requires finding affected agents, modifying, retesting, redeploying. Operon shifts most of this from per-agent rewrites to one-time platform updates. Net = Gross − Residual.

= (events × agents × hrs × cost) × (1 − residual fraction)
CATEGORY 5

Compliance audit efficiency.

Time saved producing audit evidence when your audit trail is already queryable, structured, and regulator-ready.

= cycles × hours saved × compliance cost
CATEGORY 6

Policy violation avoidance.

Agent actions prevented because pre-execution policy evaluation caught them before dispatch.

= blocks × probability × incident cost
CATEGORY 7

Platform consolidation.

Annual licensing cost of point solutions Operon displaces, standalone governance product, drift-detection service, audit-assembly tool, policy engine. The category captures the tools you stop paying for.

= sum of displaced-tool annual costs

Note on pricing

This calculator deliberately does not subtract Operon's licensing cost from this category, and the output total reflects gross first-year value rather than net ROI. Pricing is a separate conversation — held on /pricing once you know what value you're sizing, or directly with our team when you're ready. Anchoring on a price before value is established is the wrong order for an enterprise procurement decision, and an ROI multiple computed against placeholder pricing damages credibility on both sides.

The calculator

Tell us about your environment.

Fields have conservative defaults based on industry-average figures. Adjust any input to match your organization. Every calculated line shows its work when you click "How is this computed?"

About your organization

Tell us where you sit.

Size affects the tier recommendation. Industry is recorded on your report.

Category 1, Agent workload

Agent execution productivity.

Tasks automated by governed agents that would otherwise require human time.

Default: 10,000
Default: 8 minutes
Default: $75/hr
Category 2, Operational incidents

Incident prevention (operational).

Drift events and agent failures caught proactively.

Default: 6
Default: 8
Default: $150/hr
Category 4, Effort to maintain agents

Effort to maintain agents (gross / residual / net).

The cumulative engineering and compliance work required to keep production agents running. Source schema changes, regulatory updates, policy changes, business-rule revisions, design corrections, every one requires finding affected agents, modifying, retesting, redeploying. Net = Gross − Residual. The residual fraction is the portion of work that shifts to one-time platform updates rather than disappearing entirely.

Default, Operational: 25 · Executive: 100
Default, Operational: 40 · Executive: 120
(source schema + regulatory + policy + business-rule + design)
Default: 4
Default: 6
Default: $180/hr
Default, Operational: 25% · Executive: 20%
(portion of gross maintenance that shifts to platform-team work; smaller estates leave higher, larger estates lower toward 15%)
Category 5, Compliance audit

Compliance audit efficiency.

Time saved producing audit evidence when the trail is queryable and structured.

Default: 2
Default: 40
Default: $150/hr
Category 6, Policy violations

Policy violation avoidance.

Highly environment-specific; defaults conservative.

Default: 4,200
Default: 1%
Default: $50,000
Category 7, Platform consolidation

Platform consolidation savings.

Annual cost of point solutions Operon would replace (governance, drift detection, policy engines, audit assembly).

Default: $250,000
Category 3, Shadow-AI exposure (executive view)

Incident prevention (shadow-AI).

Ungoverned agent behavior caught and brought under governance before a data-exposure event. Only claimable when you have an active discovery program (EDR/SAST/egress/credential scanners) feeding Operon. Conflating "Operon governs imported agents" with "Operon governs all shadow AI" produces ROI numbers that don't survive CFO scrutiny.

Conservative; per IBM 2025 Cost of a Data Breach
Default: $1,500,000
After you deploy

The same categories. Measured instead of estimated.

Every category above has a direct analog in the in-product ROI dashboard that ships to every Operon customer. Once deployed, your dashboard shifts from estimates (inputs you provided) to measurements (derived from your EDT telemetry). The categories are identical; only the source changes.

The side-by-side, "what we told you to expect" vs. "what you actually got", is a customer-success conversation most vendors avoid. We run it every quarter with our customers because the answer has been in our favor. We also fix the categories where the measurement differs materially from the estimate, because those are the cases where the product needs to improve.

Want a more detailed model?

If the inputs above don't match your environment, or you're putting this in front of a CFO and want help refining it, our customer success team builds detailed ROI models with design-partner prospects at no cost. We'd rather have the conversation about whether Operon pays for itself in your specific environment than give you a generic answer and hope for the best.