AI Agents

A team of specialized AI agents behind every incident.

Haven uses a coordinated team of AI agents to examine incidents from multiple expert perspectives. Each agent has a specific responsibility, from organizing evidence and testing causal reasoning to identifying failed controls, examining technical factors, retrieving relevant history, and evaluating corrective actions.

Together, they help your people investigate more consistently, assure investigation quality at scale, and learn across every incident.

AI Investigation Team Coordinated
Investigation Lead
Coordinates the analysis and synthesizes all findings
Timeline RCA CAPAs Analytics Evidence
Supporting experts
The Historian
Controls Expert
Engineering Expert
Regulatory Expert
Specialized by role Grounded in your knowledge Linked to source evidence Reviewed by people
Why a team of agents

Complex incidents require more than a single point of view.

An incident can involve equipment, procedures, controls, training, supervision, environmental conditions, human factors, and prior organizational decisions at the same time. No single question, checklist, or generic AI response can reliably examine every dimension.

Haven approaches incidents more like a coordinated investigation team. An Investigation Lead directs the analysis while specialized agents examine the same evidence through different professional lenses, each focusing on the questions it is best equipped to address while working from shared evidence and knowledge.

The result is not a collection of disconnected AI responses. It is one coordinated, traceable reasoning process designed for enterprise safety, environmental, and operational learning.

The team

Meet the agents behind Haven's reasoning.

The Investigation Lead coordinates the work, engaging specialist agents based on the incident, available evidence, and questions that need to be resolved.

Investigation Lead

Coordinates the analysis from first evidence through final review.

The Investigation Lead determines which specialist perspectives are needed, organizes the reasoning process, tracks open questions, and brings the findings together. It helps ensure that causal conclusions, failed controls, and corrective actions remain connected to the evidence that supports them.

  • Develops the investigation reasoning plan
  • Coordinates specialist agent analysis
  • Tracks contradictions and missing evidence
  • Maintains multiple causal threads
  • Reconciles findings across agents
  • Assembles findings for human review
The Historian

Brings the organization's prior experience into every investigation.

The Historian searches past incidents, near misses, investigations, control failures, and corrective actions for relevant organizational learning. It helps investigators understand whether the organization has encountered the same hazard, failure mode, or control weakness before, even when the previous incidents looked very different on the surface.

  • Finds related incidents and causal patterns
  • Identifies recurring control failures
  • Retrieves relevant historical evidence
  • Examines previous corrective actions
  • Determines whether prior actions addressed recurrence
  • Connects current events to lessons across sites
Controls Expert

Examines the controls that should have prevented or reduced the event.

The Controls Expert identifies controls that were missing, failed, degraded, bypassed, or ineffective, and connects those controls to the relevant hazard, exposure, and causal pathway. It also evaluates whether proposed corrective actions address the control failure and whether stronger interventions should be considered using the Hierarchy of Controls.

  • Identifies failed, missing, and degraded controls
  • Distinguishes preventive and mitigating controls
  • Maps controls to hazards and causal pathways
  • Evaluates corrective-action strength
  • Identifies overreliance on administrative controls
  • Recommends stronger control options where appropriate
Engineering Expert

Examines technical conditions, system interactions, and failure modes.

The Engineering Expert analyzes equipment, processes, energy sources, operating conditions, technical interfaces, and potential failure mechanisms. It helps investigators distinguish the immediate event from the deeper engineering, design, maintenance, or system conditions that allowed it to occur.

  • Evaluates equipment and process interactions
  • Identifies potential technical failure modes
  • Examines energy sources and exposure pathways
  • Reviews operating and environmental conditions
  • Surfaces design and maintainability considerations
  • Connects technical findings to causal reasoning
Regulatory & Inspection Expert

Connects the investigation to applicable requirements and industry learning.

The Regulatory & Inspection Expert identifies potentially relevant regulations, inspection findings, recognized standards, and regulatory guidance. It provides investigators with applicable context and source references while leaving interpretation and final conclusions with accountable professionals.

  • Identifies potentially relevant requirements
  • Retrieves regulatory and inspection context
  • Surfaces applicable industry standards
  • Connects findings to recognized safety frameworks
  • Provides source references for review
  • Flags areas that may require specialist legal or regulatory interpretation
Programs & Procedures Expert

Compares what happened with how the work was intended to be performed.

The Programs & Procedures Expert reviews company safety programs, standard operating procedures, permits, work plans, investigation requirements, and other internal expectations. It helps reveal where guidance was missing, unclear, impractical, outdated, misunderstood, or inconsistent with how work was actually performed.

  • Identifies applicable company requirements
  • Compares evidence with documented procedures
  • Examines permit and job-planning expectations
  • Detects gaps between documented and actual work
  • Flags unclear or conflicting guidance
  • Evaluates adherence to investigation standards
Equipment & PPE Expert

Examines whether equipment and protective systems were suitable and effective.

The Equipment & PPE Expert reviews equipment selection, condition, maintenance, availability, configuration, and use. It also examines whether personal protective equipment was appropriate, accessible, properly selected, and capable of reducing the exposure.

  • Reviews equipment suitability and condition
  • Examines maintenance and inspection history
  • Evaluates safeguards and protective systems
  • Reviews PPE selection and availability
  • Identifies equipment-related evidence gaps
  • Connects equipment findings to the incident outcome
Training & Communications Expert

Examines what people were expected to know, receive, understand, and apply.

The Training & Communications Expert reviews training, qualifications, supervision, work instructions, shift handoffs, and operational communications. It looks beyond whether training was completed to examine whether it was relevant, understood, retained, and practical under the conditions in which the work occurred.

  • Reviews training and qualification requirements
  • Examines supervision and work instructions
  • Identifies communication and handoff gaps
  • Evaluates whether training addressed the actual hazard
  • Distinguishes knowledge gaps from system conditions
  • Connects findings to practical corrective actions
How it works

Specialists do not work in isolation.

Every agent works from a shared evidence base and coordinated reasoning process.

01

Assemble the evidence

Witness accounts, photographs, video, documents, procedures, equipment records, incident narratives, and other available sources are brought together.

02

Build the relevant context

Haven connects the evidence with company procedures, investigation standards, control taxonomies, historical incidents, corrective actions, and relevant industry knowledge.

03

Engage the right specialists

The Investigation Lead determines which agents are relevant to the incident and assigns focused analytical tasks. Not every incident requires every agent.

04

Test the reasoning

Agents examine the evidence, identify gaps, retrieve relevant knowledge, test possible explanations, and surface contradictions or unsupported assumptions.

05

Synthesize the findings

The Investigation Lead brings the specialist findings together into a coherent analysis, while preserving unresolved questions, competing explanations, and links to supporting evidence.

06

Present everything for human review

Investigators and reviewers can accept, revise, reject, or further examine the AI-inferred findings and AI-recommended actions. People remain responsible for every final conclusion and decision.

Across the platform

One agentic system across the learning loop.

Haven's agents operate across INVESTIGATE, ASSURE, and LEARN. They are the shared reasoning capability that connects individual incidents with enterprise-wide learning.

INVESTIGATE

Reason through the incident in front of you.

Agents organize evidence, reconstruct timelines, detect contradictions, explore multiple causal pathways, identify failed controls, and develop corrective-action recommendations. The investigator receives a structured starting point without surrendering control of the analysis.

Explore INVESTIGATE
ASSURE

Determine which investigations require greater attention.

Agents evaluate completed investigations for evidence completeness, timeline integrity, causal coverage, root cause adequacy, guideline adherence, control analysis, and corrective-action strength, synthesizing these findings into a consistent quality assessment.

Explore ASSURE
LEARN

Reason across the organization's incident history.

The Historian, Controls Expert, and other specialist agents examine patterns across incidents, sites, activities, and business units, helping reveal recurring control failures, repeated corrective-action strategies, CAPA debt, and emerging signals.

Explore LEARN
Reasoning foundation

Agents grounded in the knowledge your safety team actually uses.

Specialized agents are only as valuable as the evidence and knowledge behind their reasoning. Haven combines four layers of context so agents can reason about the organization, the incident, and the broader safety environment.

Current incident evidence

Witness accounts, photographs, video, documents, timelines, equipment information, sensor data, and other available evidence.

Company knowledge

Safety programs, procedures, policies, permits, investigation standards, training requirements, control taxonomies, equipment information, and organizational expectations.

Historical incident knowledge

Previous incidents, investigations, evidence, control failures, corrective actions, verification results, and outcomes across the enterprise.

Industry knowledge

Hazards, exposures, controls, failure modes, causal relationships, regulatory requirements, inspection findings, and recognized safety methodologies.

This foundation combines Haven's Industry Knowledge Graph with your company-specific knowledge and incident history. The result is not a generic chatbot responding from general language patterns. It is an enterprise reasoning system grounded in the way your organization operates and the evidence available for each incident.

Beyond a chat assistant

Not a generic AI assistant. A coordinated safety reasoning system.

A generic assistant responds to individual prompts. HAVEN COORDINATES MULTIPLE SPECIALIST AGENTS AROUND A DEFINED INVESTIGATION, ASSURANCE, OR LEARNING OBJECTIVE.
A generic assistant may provide broadly plausible information. HAVEN'S AGENTS REASON USING CURRENT EVIDENCE, COMPANY KNOWLEDGE, HISTORICAL INCIDENTS, AND THE HAVEN INDUSTRY KNOWLEDGE GRAPH.
A generic assistant can summarize what a report says. HAVEN EXAMINES WHAT MAY BE MISSING, CONTRADICTORY, UNSUPPORTED, INSUFFICIENTLY EXPLORED, OR INCONSISTENT WITH THE EVIDENCE.
A chatbot response usually ends with the conversation. HAVEN CONNECTS FINDINGS, QUALITY SIGNALS, CONTROL FAILURES, AND CORRECTIVE ACTIONS ACROSS THE ENTERPRISE LEARNING LOOP.
Human accountability

Agents analyze. People decide.

Haven is designed to strengthen professional judgment, not replace it. The agents organize evidence, surface questions, test reasoning, retrieve relevant knowledge, and recommend potential next steps. They do not approve investigations, determine accountability, or make final safety decisions.

Evidence-linked

Findings remain connected to the evidence, source material, and reasoning that support them.

Auditable reasoning

Investigators and reviewers can examine how a finding was developed and which evidence informed it.

Company-specific grounding

Agents apply the procedures, standards, and expectations relevant to your organization.

Human accountability

Authorized users review and control final conclusions, root causes, corrective actions, and reports.

Enterprise governance

Role-based access and security controls support appropriate use across sites, business units, and investigation workflows.

Works with your existing environment

Haven complements your existing EHS and enterprise systems, adding reasoning and learning without requiring you to replace your system of record.

Put specialized safety intelligence behind every incident.

See how Haven combines coordinated AI agents, company knowledge, historical context, and evidence-based reasoning to improve investigations, scale quality assurance, and turn incident history into prevention intelligence.