campaign-icon

The Context OS for Agentic Intelligence

elixir-logo

Book Executive Demo
section-tag

The Decision Gap

Why Periodic Compliance Fails for AI

AI operates continuously, producing thousands or millions of decisions between periodic reviews. Each action could create regulatory exposure — evidence must be generated and policy enforced in real time

Audit Lag

Compliance Checked Late

Traditional compliance cycles only capture past activity — they cannot prevent gaps in governance as AI continues to operate

Delayed inspection cycles

Unmonitored AI actions

Manual reconstruction needed

Compliance gaps persist

Exposure grows unnoticed

star-icon

Outcome: Delays increase exposure risk

Continuous Exposure

AI Decisions Are Constant

Every minute, AI may make actions subject to GDPR, HIPAA, SOX, or emerging AI rules, all requiring verifiable proof

Thousands of decisions daily

Continuous regulatory risk

Logs lack reasoning

Policies unenforced in execution

Gaps remain undetected

star-icon

Outcome: Regulatory gaps persist undetected

Real-Time Control

Enforce Policy

ElixirData produces evidence for every AI decision as it happens, applying policies and ensuring compliance automatically

Evidence generated live

Policies applied instantly

Authority verified automatically

Continuous monitoring embedded

Real-time audit ready

star-icon

Outcome: Compliance becomes proactive

section-tag

Core problem

The Compliance Gap

Human-speed compliance cannot govern continuous AI decisions. Every ungoverned AI action introduces regulatory risk unless evidence is produced and policies are enforced in real time

Limitations

Human Compliance Limits

Traditional frameworks rely on periodic audits, documentation, and sampling — they cannot keep pace with continuous AI decision flows

Periodic audits only

Manual evidence collection

Sampling-based verification

Retrospective assessment

star-icon

Outcome: Human frameworks fail at AI speed

Production

Evidence Production Bridges Gap

Evidence Production generates proof automatically as decisions occur, enforcing policy, capturing context, and verifying authority in real time

Automatic evidence generation

Real-time policy enforcement

Continuous decision coverage

Authority verification embedded

star-icon

Outcome: Compliance keeps up with AI operations

get-organization-ready-for-context-os

Close the AI Compliance Gap Instantly

Evidence Production enforces policies and generates proof in real time, ensuring AI decisions are always auditable, compliant, and accountable

Request Demo
section-tag

Continuous Compliance

What Continuous Compliance Means

Continuous compliance ensures that regulatory requirements aren’t just recorded — they are enforced, evidenced, and auditable as every AI decision executes, creating trust and accountability

grid-icon

Compliance enforced automatically at every AI decision

grid-icon

Policies, rules, and authority captured and verified continuously

grid-icon

Evidence produced live for audit and regulatory review

cube-icon

Real-time compliance visibility ensures proactive governance

Explore the Deployment Model

Rules as Code

Compliance requirements are encoded as executable policies, capturing jurisdiction, context, version history, and machine-executable logic to ensure automated enforcement

Decision-Time Enforcement

Every AI action evaluates all applicable policies before execution, deterministically blocking non-compliant decisions and leaving no ambiguity

Automatic Evidence

Evidence is generated as each decision executes, documenting rules evaluated, context, outcomes, and authority for audit-ready accountability

Real-Time State

Organizations continuously know their compliance posture — current, verified, and backed by evidence — rather than relying on retrospective audits

Regulatory Change Management

When regulations change, traditional compliance relies on documentation, training, and manual verification — creating delays and gaps

Immediate Policy Enforcement

New regulatory requirements are encoded as executable rules and deployed directly into the AI decision layer, ensuring every action complies instantly

Traditional delays are eliminated, and compliance is enforced deterministically, reducing exposure and risk for the organization

Learn about Platform

Automatic Evidence Generation

Every updated rule produces verifiable evidence as decisions occur, documenting which regulations applied and how compliance was satisfied in real time

This removes reliance on manual audits and provides audit-ready proof continuously, not after the fact

Request a Demo
section-tag

Frameworks

Mapping to Regulatory Frameworks

Evidence Production supports compliance across industries and AI-specific regulations, ensuring every decision is governed, auditable, and defensible in real time

Financial Services Compliance

ElixirData governs financial decisions under BCBS 239, SR 11-7, SOX, MiFID II, and AML/KYC requirements, producing complete evidence of every action

This ensures models, transactions, and compliance decisions are fully auditable and aligned with regulatory expectations

sparkle-icon

Decisions are fully compliant

Healthcare & PHI Governance

Evidence Production enforces HIPAA, FDA SaMD, and HITECH requirements, controlling access, traceability, and security of protected health information and clinical decisions

Compliance is built into every AI execution, producing auditable evidence for regulators and internal teams alike

sparkle-icon

Decisions remain fully auditable

Data & AI Regulations

ElixirData ensures GDPR, CCPA, data residency, EU AI Act, NYC Local Law 144, and emerging AI regulations are enforced automatically at decision time

All high-risk AI decisions produce evidence, ensuring compliance across jurisdictions and evolving regulatory frameworks

sparkle-icon

Decisions are always auditable

section-tag

What It Enables

Multi-Regulatory Coordination

ElixirData coordinates multiple regulatory requirements simultaneously, ensuring policies are composed, conflicts resolved, and evidence produced for every jurisdiction in real time

01

Policy Composition

Multiple rules are evaluated together to produce a single, unified compliance outcome for every AI decision in real time

02

Conflict Resolution

When regulatory requirements conflict, the most restrictive rule is applied automatically, ensuring risk is minimized and compliance maintained

03

Evidence Production

Each regulation generates its own verifiable evidence, documenting how rules were evaluated and satisfied during AI execution

04

Jurisdiction Handling

Policies respect geographic and jurisdictional differences, applying rules based on context, location, and applicable legal frameworks automatically

01

Policy Composition

Multiple rules are evaluated together to produce a single, unified compliance outcome for every AI decision in real time

  • checkmark-icon

    Rule Combination : Merge multiple regulations efficiently for decisions

  • checkmark-icon

    Unified Evaluation : Produce one compliance outcome automatically

tab-context
02

Conflict Resolution

When regulatory requirements conflict, the most restrictive rule is applied automatically, ensuring risk is minimized and compliance maintained

  • checkmark-icon

    Strictest Rule : Apply the most restrictive requirement first

  • checkmark-icon

    Gap Prevention : Avoid any regulatory compliance gaps

tab-agentic
03

Evidence Production

Each regulation generates its own verifiable evidence, documenting how rules were evaluated and satisfied during AI execution

  • checkmark-icon

    Rule Evidence : Record proof specific to each regulation

  • checkmark-icon

    Audit Ready : Evidence available instantly for audits

tab-governance
04

Jurisdiction Handling

Policies respect geographic and jurisdictional differences, applying rules based on context, location, and applicable legal frameworks automatically

  • checkmark-icon

    Context Awareness : Adjust rules based on situation

  • checkmark-icon

    Local Rules : Apply jurisdiction-specific compliance automatically

tab-orchestration
section-tag

Key capabilities

What defines true Compliance

Capabilities that transform regulatory compliance into real-time, auditable, and evidence-backed execution

regulatory-rules-as-code

Regulatory rules as code

Executable, version-controlled policies

decision-time-enforcement

Decision-time enforcement

Compliance validated before execution

multi-regulatoy-support

Multi-regulatory support

Overlapping requirements coordinated

automatic-production

Automatic evidence production

Regulatory proof generated at execution

jurisdiction-awarness

Jurisdiction awareness

Different rules for different contexts

real-time-compliance

Real-time compliance state

Know compliance status continuously

audit-ready-retrieval

Audit-ready retrieval

Evidence accessible instantly

change-management

Change management

Regulatory updates deployed as policies

section-tag

Outcomes

Real-Time Compliance Results

Evidence Production delivers measurable impact by making compliance continuous, automated, and auditable in real time

Continuous Compliance

Evidence is generated for every AI decision automatically, ensuring governance is always active, not just assessed during periodic audits


Organizations can monitor compliance continuously, gaining real-time insights into regulatory adherence without manual intervention

sparkle-icon

Compliance is always current and fully verifiable across all decisions

Lower Costs

Automation eliminates the need for manual policy checks, documentation updates, and evidence reconstruction, reducing labor and administrative expense


When questioned, decisions stand on evidence, not assumptions or memories

sparkle-icon

Manual effort is minimized with significant operational cost savings

Faster Audits

Auditors can retrieve complete evidence instantly, removing weeks of reconstruction and interviews typically required to prove compliance


This transforms audit cycles from reactive investigations to proactive, streamlined reviews

sparkle-icon

Audits are completed faster with full verifiable evidence available

Reduced Risk

Violations are prevented at decision time through deterministic policy enforcement, not merely detected after the fact


Evidence Production ensures accountability and protects organizations from regulatory, financial, and reputational exposure

sparkle-icon

Risk is proactively mitigated for all AI decision processes

section-tag

FAQ

Frequently Asked Questions

ElixirData supports BFSI, healthcare, data protection, and emerging AI regulations through its extensible policy framework. Custom regulations can be encoded as needed

Legal interprets new requirements, which are encoded as executable policies and deployed to the decision layer. Enforcement is immediate upon deployment

No. Compliance teams focus on interpretation, policy design, and relationship management. ElixirData handles enforcement and evidence production — the operational aspects

Human Authority gates are included in the policy framework. Some decisions require human approval — this is enforced through the Authority Model

Continuous, Real-Time Compliance Enforced in Every AI Decision

Evidence Production ensures every action is explainable, justified, and provable — not just recorded, but backed by immutable, real-time evidence

See How It Works Request Enterprise Demo