Interactive Economic Model

AI Agent ROI and Risk Calculator

Quantify your organization's annual exposure to uncontained AI agent writes, calculate preventable downtime costs, and model net annual ROI with deterministic storage verification.

Based on enterprise engineering benchmarks · Zero external network calls · Instant in-browser modeling

5 agents 100 agents 200 agents
185 hrs Projected Annual Engineering Hours Saved
14 Estimated Incidents Avoided
240 hrs Current Annual Triage Risk

Quantified Annual Value-Add Breakdown

  • Prevented Outages & Database Cascades Eliminates unconstrained UPDATE trigger fan-outs, multi-statement drops, and bulk mutation cascades.
    110 hrs / yr
  • Automated Reverse-SQL Undo vs. DBA Manual Triage Replaces 12-hour emergency WAL reconstruction panics with catalog-accurate 45-second verified rollbacks.
    45 hrs / yr
  • Cryptographic Forensics & Regulatory Audit Readiness Turnkey signed Merkle records for DPDP, HIPAA Security Rule, and SOC 2 audits, eliminating manual investigations.
    30 hrs / yr
Deploy the local proxy in under 30 seconds Open source (Apache-2.0). Runs on local loopback with zero data egress.
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How the economic model calculates value-add

The Cost of Silent Mutation Divergence

Standard AI agent proxies inspect network JSON-RPC calls, but cannot observe what the database committed. When an agent reports updating 1 row while hidden triggers mutate 301 rows, teams face manual triage delays averaging 4 to 8 hours per incident of database downtime.

Deterministic Storage-Layer Containment

Deedglass taps directly into PostgreSQL logical replication (REPLICA IDENTITY FULL). It decodes committed row tuples in real time, compares writes against what the agent claimed, and synthesizes catalog-accurate undo SQL to restore previous state in seconds.