Direct answers about Haven, AI, investigation, integration, and enterprise deployment.

Haven is the AI reasoning and learning layer for enterprise safety. It helps organizations investigate incidents, assure investigation quality, learn across historical data, identify recurring control failures, and turn those lessons into stronger prevention.

No. Haven is designed to work alongside existing EHS platforms. Your current system can remain the system of record for incident records, workflows, actions, approvals, and enterprise reporting. Haven adds reasoning, assurance, and learning capabilities.

Haven is designed for enterprise safety, EHS, operations, investigation, risk, and quality leaders, as well as the investigators and subject-matter experts responsible for complex incidents in high-risk operations.

You know that you need Haven when one or more of these questions represent a challenge for your team today:

1. Can you tell which safety controls repeatedly fail across incidents and sites?
2. How do you know whether corrective actions actually prevent recurrence?
3. Does your organization learn from every incident, or only the most serious ones?
4. Can you objectively measure whether investigation quality is improving?
5. If the same control failed across three different sites, would your current system connect the dots?
6. Can you quantify your CAPA debt and identify where overdue, weak, or unverified actions create the greatest risk?
7. What percentage of your CAPAs rely on training and procedures versus engineering controls, substitution, or elimination?
8. Does investigation quality remain consistent across sites and investigators, or does it depend on who conducts the investigation?
9. Can investigators see relevant past incidents, failed controls, and previous CAPAs while an investigation is still underway?
10. When leadership asks, “Where should we intervene this week?” can your incident data provide a clear answer?

Haven is designed for high-risk operating environments such as energy, utilities, construction, industrial services, and other organizations where investigation quality and organizational learning materially affect safety performance.

Most organizations begin with a focused workflow such as complex incident investigation, investigation quality assurance, or historical control-failure analysis. Request a demo and we will map the conversation to your current process and data environment.

Investigation is one part of the Haven platform. Investigate supports evidence synthesis, timelines, causal reasoning, control analysis, corrective actions, and reporting. ASSURE evaluates investigation quality. Learning Intelligence reasons across historical incidents to identify recurring failures and enterprise learning signals.

No. Haven supports the investigator's reasoning process. It can help organize evidence, test assumptions, explore causal pathways, and identify gaps, but the accountable investigator remains responsible for the conclusions.

Haven can support familiar approaches such as 5 Whys, Fishbone analysis, and multi-threaded causal reasoning. The objective is not to force every organization into a single method, but to improve the depth and consistency of the reasoning process.

Yes. Haven can compare evidence across witness information, documents, images, records, and other investigation materials to surface conflicting information or unanswered questions for investigator review.

Haven helps connect corrective actions to identified causes and failed controls. It can support evaluation of control strength, Hierarchy of Controls alignment, ownership, and verification requirements. The objective is stronger corrective action, not simply more actions.

ASSURE is Haven's investigation quality-assurance capability. It evaluates completed investigations against company standards and a structured quality framework, surfacing missing evidence, contradictions, weak causal coverage, corrective-action gaps, and other issues that may require review.

No. ASSURE is designed to help expert review scale. It can identify which investigations are likely to need attention and explain why, allowing experienced reviewers to focus their time where judgment is most valuable.

Yes. ASSURE can assess completed investigation packages, including investigations created outside Haven, provided the relevant investigation materials and company guidelines are available.

Learning Intelligence analyzes historical incident data to surface recurring control failures, repeated corrective-action patterns, emerging themes, and other signals across the enterprise. It turns incident history from a passive archive into an active source of prevention intelligence.

It is the ability to identify when the same safety control has failed across multiple historical incidents, even when those incidents otherwise appear unrelated. This helps the organization understand whether a current event reflects a persistent system weakness.

Yes. Historical incidents can become part of the Haven knowledge layer so investigators and leaders can reason across previous events, failed controls, corrective actions, and organizational responses.

Yes. Haven can be grounded in company-specific knowledge such as procedures, investigation guidelines, safety standards, control frameworks, and other organizational requirements.

Integration depends on the use case. Haven can work with EHS systems, document repositories, historical investigation data, company procedures, HR or training information, assets, contractor data, and other enterprise sources. Deployments can start with the minimum data required for value and expand over time.

Generic AI is designed to answer a broad range of questions. Haven is designed for enterprise safety reasoning. It combines company knowledge, historical incident data, controls, investigation standards, and specialized safety workflows so outputs are grounded in the organization's operational context.

No. Haven supports human decision-making. It helps organize evidence, reason across information, identify patterns, and surface issues, but accountable people remain responsible for investigation conclusions, corrective actions, and operational decisions.