A mid-stage HealthTech SaaS (~80 people, $14M ARR) had two enterprise customers parking PoCs behind security review. They had a trust-boundary narrative, not a runtime-verifiable artifact. After dropping in the open-source SDK and sending a 22-page Procurement Packet, the customer's auditor signed off in a 30-minute call. Net spend: ~$18K/year saved + ~36 engineering-hours/month recovered.
Profile: Mid-stage HealthTech SaaS company, ~80 people, $14M ARR. Product is a clinical-ops platform that ingests EHR data (FHIR R4) and routes care-coordination tasks to the right clinician.
Trigger: Two new enterprise customers (large regional health systems) put security review on the critical path before PoC. Both customers' procurement teams asked for:
The vendor had a pre-SOC 2 trust-boundary story, but it was a narrative, not a runtime-verifiable artifact. The first PoC stalled at 6 weeks. The second was tracking the same path.
The vendor's engineering team had one infrastructure engineer with 30% bandwidth to allocate to this work. Buying a Vanta-style trust portal was out of budget (~$25K/year minimum) and would not have produced the artifact the customer's auditor actually wanted, which tool read what patient record, when, under what consent.
Hiring a compliance consultant would have cost ~$60K and produced documents rather than runtime evidence.
The vendor needed an option that:
kinetic-gain-embedded (KGE) into the platform's data-access layer. Three lines of code:
const card = parseDecisionCard(JSON.parse(decisionCardJson));
const audit = new AuditStream({ source: "platform-prod", decisionCardRef: card.canonical_url, sink: new NdjsonFileSink("/var/log/audit.ndjson") });
const { payload, redactionApplied } = applyVaultContract(patientRecord, card);
The Decision Card was authored once by the vendor's lead clinician + compliance lead (~4 hours of work, using the Decision Card v0.3 spec). It declared data_vault_targets for the PHI fields the customer's policy required redacted, plus a retention_envelope for each.
docs/sales/PROCUREMENT-PACKET.md template from the KGE repo, filled in the bracketed sections for their company, and made the four §8 KGE-backed verifiable claims:
GET /verify walks the chain end-to-end)The customer's auditor signed off in a 30-minute call.
| Before KGE | After KGE | Delta |
|---|---|---|
| Trust-boundary claim was a narrative | Trust-boundary claim is a runtime artifact | qualitative shift |
| First PoC stalled at week 6 | Both PoCs closed by week 4 | ~2 weeks deal-cycle compression / deal |
| Internal infra-engineer time on audit/diligence: ~12 hrs/week | ~3 hrs/week | ~36 hours/month recovered |
| Compliance-consultant retainer: ~$5K/month | $0 (not needed for this scope) | ~$60K/year |
| Total spend on KGE Team tier | $3,500/month = $42K/year | Net: ~$18K/year saved + ~36 eng-hrs/mo recovered |
"The first time security stopped being the bottleneck." Vendor's CRO, in the post-PoC retro
"I was honestly worried about adding another dependency. But it's 28KB and zero runtime deps. The pre-flight tests catch what I'd have caught. And I don't have to write the test scaffolding myself." The infrastructure engineer who did the integration
So you don't have to read between the lines:
When we have a named-customer version of this story with their permission and measured numbers from their actual rollout, we'll publish it here. If you want to be that customer, the path is short:
Published 2026-05-31. Author: Miz Causevic. License: CC BY 4.0. Feel free to share, with attribution.
Reference scaffolding for audit evidence, not a HIPAA / FERPA / SOC 2 / GDPR / ISO 27001 / NIST AI RMF / EU AI Act / ISO 42001 compliant or certified product. Compliance posture depends on the embedder's full control environment and external attestation specific to each regulatory regime.