The production layer for enterprise AI
Know what your AI can safely automate.
Build business capabilities, not just AI workflows. Corda proves what your AI can be trusted to do on real business cases, then carries it into production.
Corda shows where your AI performs reliably, where it fails, and where humans should stay involved, so your team can move from pilot to production with evidence.
Keep your existing AI stack. Start with one workflow. No production write access.
| Criterion | Finance team | AI workflow | Requirement | Result |
|---|---|---|---|---|
| Approval‑rule violations | 0.15% | 0.09% | ≤ 0.20% | Pass |
| Cases requiring review | 23% | 14% | ≤ 20% | Pass |
| Cost per invoice | $6.40 | $0.72 | ≤ $1.00 | Pass |
| Average review time | 12.4 minm | 38 secs | ≤ 60 sec | Pass |
Routine invoices passed. Higher‑risk and policy‑exception cases remain under human review.
Keep your AI stack. Add the layer that gets it production-ready
- OpenAI
- Claude
- Copilot
- n8n
- Workato
- LangGraph
- UiPath
- Internal Agents
The demo worked.
Production is where it gets difficult.
Before AI touches customers, money, contracts, or production systems, “it seems to work” isn’t enough.
Your team needs evidence. Corda gives it to you without changing how you build.
Does it actually perform better?
Compare AI with the people and processes handling the same work today.
Where does it get things wrong?
Find the cases, conditions, and edge cases where AI still struggles.
When should a human step in?
Keep people in control where judgment, risk, or uncertainty demands it.
Is automation actually worth it?
Measure whether AI reduces cost, saves time, and improves the outcome that matters.
From AI pilot to production readiness
- Compare AI vs human baseline
- Measure accuracy, review rate, and cost
- Detect policy violations and failure modes
- Define safe vs uncertain case boundaries
- Recommend autonomy level
Every run ends in a readiness report: score, escalation path, autonomy level and ROI evidence.
Corda does not replace anything above it or below it. It decides what is allowed to reach your systems without a person, and proves it before anything gets production write access.
Models will change. Frameworks will change. Your standard for trusting AI with real work shouldn’t.