Stop guessing. Start proving. CausalOps connects engineering work items to business outcome changes with confidence scores and tamper-evident audit trails.
Request Early AccessYou have Jira velocity charts and completed story points. But you can't prove which initiatives actually moved business metrics. The board wants ROI, not activity.
Your team built internal tools and infrastructure. Adoption metrics look good. But when deploy frequency increased, was it your platform or the new hire class?
You spent $200K+ on GitHub Copilot and AI assistants. Acceptance rates are high. API usage is up. But can you connect AI investment to actual engineering outcomes?
CausalOps captures metric snapshots around engineering work items and computes confidence-scored attribution. Every signal gets sealed in a tamper-evident ledger.
Connect specific work items to specific metric changes. Not correlation — causation with confidence scores.
Magnitude × Confidence × Strategic Weight = Value Score. Positive for improvements, negative for regressions.
SHA-256 hash chain prevents retroactive credit claiming or regression hiding. Auditable truth, not spreadsheets.
No cloud dependency. Your data never leaves your infrastructure. Zero external attack surface for compliance.
CausalOps snapshots your metrics (test pass rate, deploy frequency, error rate) before work begins.
Register engineering work with full provenance chain. Every initiative gets a unique ID and context.
After completion, CausalOps captures new metric snapshots and computes deltas with confidence scores.
Value scores are sealed in a hash-chained ledger. Executives get auditable evidence, not estimates.
Join engineering leaders who are building evidence-based cultures. CausalOps is currently in private validation with select organizations.
Request Early Access