Learn From Every
Incident
Haven helps enterprise safety teams investigate incidents, assure investigation quality, uncover recurring control failures, and turn historical safety data into continuous learning and prevention.
Every incident creates knowledge. Most organizations lose too much of it.
Investigations are completed. Corrective actions are assigned. Reports are stored. But the learning inside those incidents often remains trapped in individual cases, documents, sites, and systems.
The result is a familiar problem: the same controls fail again, investigation quality varies, corrective actions repeat, and patterns become visible only after another serious event occurs.
Inconsistent investigation quality
Different investigators can reach very different levels of depth, evidence quality, and causal reasoning.
Recurring control failures stay hidden
A control may fail repeatedly across locations or activities without anyone recognizing the pattern.
Historical data remains passive
Years of incident records contain valuable organizational knowledge, but most safety teams cannot interrogate that history in real time.
One intelligence layer from investigation to learning
Haven works alongside your existing EHS system to improve how incidents are investigated, assessed, and learned from across the enterprise.
Reason through incidents with greater depth and consistency.
Haven brings evidence, timelines, causal reasoning, root cause analysis, corrective actions, and report development into one AI-guided investigation workflow.
- Evidence synthesis
- Timeline development
- Multi-threaded causal analysis
- Corrective action development
Continuously assess investigation quality.
HavenASSURE reviews completed investigations against company standards, evidence quality, causal coverage, and corrective-action strength, helping teams see which investigations need attention.
- Evidence completeness
- Contradiction detection
- Guideline adherence
- CAPA quality and scoring
Learn across every incident, not just the one in front of you.
Haven analyzes historical incident data to surface recurring control failures, repeated corrective-action patterns, emerging risks, and organizational learning signals across sites.
- Recurring control failures
- Cross-incident patterns
- CAPA debt
- Emerging signals
Do I need Haven?
If your team struggles to answer one or more of these questions, Haven can help.
Which safety controls repeatedly fail across incidents and sites?
Are corrective actions actually preventing recurrence?
Do we learn from every incident, or only the most serious ones?
Do we objectively measure whether investigation quality is improving?
If the same control failed across three different sites, would our current system connect the dots?
What percentage of our CAPAs rely on training and procedures versus engineering controls, substitution, or elimination?
Does investigation quality remain consistent across sites and investigators, or does it depend on who conducts the investigation?
Can investigators see relevant past incidents, failed controls, and previous CAPAs while an investigation is still underway?
AI grounded in the knowledge your safety team actually uses.
Haven combines AI reasoning with company-specific knowledge, historical incident data, controls, procedures, and investigation standards. The result is not a generic chatbot; it's an enterprise safety reasoning system grounded in the way your organization operates.
Company knowledge
- Procedures
- Investigation standards
- Policies
- Training requirements
Historical incident data
- Investigations
- Evidence
- Controls
- Corrective actions and outcomes
Industry knowledge
- Hazards
- Controls
- Failure modes
- Safety methodologies
Haven Reasoning Layer
COMPANY KNOWLEDGE + HISTORICAL CONTEXT + DOMAIN REASONING
Reduction in RCA labor time
AES uses Haven to help investigators move from evidence through root cause analysis and corrective actions with greater efficiency, quality, and consistency.
“Instead of spending time compiling reports behind a desk, our teams can now focus on understanding risk on site. We have seen an 80% reduction in root cause analysis safety investigation labor time with the adoption of Haven Safety AI. It's helping us capture better information from the field, structure investigations more consistently, and learn faster.”
Faster investigation
Reduce the manual work required to build and document a defensible RCA.
More consistent reasoning
Give investigators a structured reasoning process and repeatable standards.
Stronger organizational learning
Preserve lessons so future investigations start with more context.
2x Investigation Coverage
More incidents, near misses, and precursors investigated.
Keep your system of record. Add the intelligence layer.
Haven complements existing EHS platforms rather than replacing them. Incident records, corrective actions, documents, and enterprise knowledge can remain in the systems your teams already use.
Haven adds specialized AI agents on top of your existing EHS system. They review every incident, improve investigation quality, and learn across the organization so recurring failures become visible before they cause the next serious event.
Powered by Haven's Industry Knowledge Graph
Built from global high-signal sources, including OSHA regulations and inspection data, CSB investigations, ISO 45001 frameworks, ANSI standards, and state and country-specific requirements to understand hazards, controls, and causal pathways.
It is then extended with your own Safety Programs, Safety Cases, SOPs, and preferences.
Turn the next incident into enterprise learning.
See how Haven can help your organization investigate more consistently, assure investigation quality, and learn across every incident.