Build Faster.
Assure as You Go.
An engineering-grade safety mesh — from device signal to board-ready evidence. Interoperable, testable, and designed for change. See real-world implementation examples from our engineering practice.
Strategy that ships
Platform-level assurance that scales with your architecture.
Today's Reality
Safety and governance handled late. Posture varies across Dev/Test/Live. Integrations drift from standards.
The Impact
Releases slow for reviews. Budgets absorb rework. Buyer confidence dips when evidence freshness is unclear.
Hidden Costs
Talent spends time on paperwork theatre instead of platform advancement. Risk lives in gaps between teams.
With Inference
Safety and governance become live platform capabilities — measurable, automatable, portable across environments.
Platform-Level Assurance
Live safety posture across all environments.
Technical Details
- → Live posture across Dev/Test/Live
- → Measurable SLOs for safety and governance
- → Portable between Trusts and clouds
- → Multi-site, offline-capable architecture
Interoperability by Design
FHIR-native with safe-write guards.
Architecture Benefits
- → FHIR at the edge via CareCube
- → Safe-write validation pre-commit
- → Schema-drift detection
- → Fewer brittle integrations
Predictable Cost Profile
Automated evidence, repeatable adoption.
Financial Impact
- → Automated evidence replaces bespoke docs
- → Fewer compliance overruns
- → Faster time-to-value
- → Repeatable Trust deployments
Key Performance Indicators
Evidence in the backlog
Safety becomes work items and tests. Evidence generated continuously.
Current State
Evidence lives outside the backlog. Compliance gates arrive after features are built. Trust variation forces one-offs.
With Inference
Hazards tracked as stories. Acceptance criteria powered by Hazards Engine. Board-ready views reduce sign-off delay.
Evidence in the Backlog
Hazards and controls as trackable work items.
How it works
- → Hazards tracked as stories/tasks
- → Acceptance criteria from Hazards Engine
- → Auto-linked to release evidence
Reusable Assurance
Standards packs generated per release.
Benefits
- → DTAC/DCB/NICE packs auto-generated
- → Portable across sites with provenance
- → One-click evidence export
Adoption at Speed
Board-ready views reduce sign-off time.
Acceleration
- → Board dashboards reduce delays
- → Fewer custom artefacts per Trust
- → Buyer signals visible early
Release Hygiene Metrics
Compliance you can test
Make compliance queryable, testable, and auditable in your pipeline.
Current Pain
Compliance isn't testable like code. FHIR validation is brittle. Unsafe writes slip through. CI/CD can't gate on safety.
With DCB CoLab
Safety becomes code. FHIR validation at edge. Write guards pre-commit. Evidence on demand via CLI. This includes implementing AI safety controls and explainability frameworks directly in your development pipeline.
Safety as Code
Run hazard checks like unit tests.
Implementation
dcbcolab safety test
--pathway=cardiac_rehab
--env=test
--report=junit
Outputs JUnit for CI integration.
FHIR & Write Guards
Block unsafe writes pre-commit.
Validation
dcbcolab validate fhir
--bundle=admission.json
dcbcolab safety write-guard
--mode=precommit
Evidence on Demand
Export audit packs at any stage.
Export
dcbcolab compliance export
--standard=dcb0129_0160
--out=./evidence/pack.pdf
Generates DTAC-aligned evidence.
CLI in action
# Hazards Engine in CI dcbcolab safety test --engine=hazards --pathway=cardiac_rehab --env=test --report=junit # Output: ✓ 142 safety checks passed ⚠ 3 hazards identified → junit report: ./test-results/safety-cardiac_rehab.xml
# FHIR conformance + safe write dcbcolab validate fhir --source=carecube --bundle=admission_update.json dcbcolab safety write-guard --source=carecube --bundle=meds_admin.json --mode=precommit # Output: ✓ FHIR R4 validation passed ✓ Write guard: safe to commit → Schema drift: 0 violations
# Evidence pack generation dcbcolab compliance export --standard=dcb0129_0160 --out=./evidence/dcb_pack.pdf # Output: → Gathering hazard logs... → Compiling mitigation evidence... → Generating DCB0129/0160 pack... ✓ Evidence pack exported: ./evidence/dcb_pack.pdf (142 pages)
How the mesh works (for builders)
Clean signals → safe writes → live posture → board-ready evidence
Engineering outcomes that matter
Speed
Auto-gated pipelines
Faster sign-off
Fewer blockers
Quality
Clean signals
Safe writes
Lower defects
Credibility
Evidence with releases
Buyer-ready
Audit confidence
Scale
Interoperable design
Repeatable across Trusts
Multi-site ready
Ready to build with confidence?
Get started with DCB CoLab CLI and integrate safety into your development workflow.