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Compliance Core

Turn Data Into Trust.
Risk Into Clarity.

AI-verified, tamper-proof proof that reduces disputes, accelerates decisions, and unlocks new business models — for operations where integrity matters.

We don't sell dashboards. We deliver decisions, proof, and automation for risk-critical, multi-party operations.

Enterprise-Grade Architecture for Trust & Compliance

🛡️ Compliance Frameworks

  • GDPR / CCPA Templates
  • EU AI Act Alignment
  • SOC 2 Type II
  • ISO 27001 Controls
  • Industry-Specific Regs

🤖 AI / ML Pipeline

  • Explainable AI (XAI)
  • Bias Detection & Audit
  • Model Versioning
  • Drift Monitoring
  • Human-in-the-Loop

🔐 Crypto Infrastructure

  • Digital Signatures
  • Merkle Tree Proofs
  • Optional Blockchain
  • Zero-Knowledge Proofs
  • Tamper-Proof Ledgers

⚙️ Dev & Ops Workflow

  • CI/CD Pipelines
  • GitOps Deployment
  • API-First Design
  • Kubernetes / Serverless
  • Full Observability
⚖️
Regulatory Ready
Pre-built templates for GDPR, CCPA, and EU AI Act compliance
🔍
Bias Detection
Scan datasets and model outputs for hidden biases
🔒
Immutable Audit Trails
Every prediction and access logged on tamper-proof ledger
📊
Explainable AI
Human-readable explanations for every AI decision

AI-Driven Integrity, Risk, and Compliance Services

FyreOps provides AI-driven integrity, risk, and compliance services, with optional cryptographic verification to ensure evidence cannot be altered, disputed, or selectively shared.

1

AI-Based Integrity & Risk Scoring

We use AI to analyze operational signals (telemetry, events, logs, environmental data) and generate a single, explainable integrity or risk score for each operation, shipment, or process.

Integrity / Risk Score (0–100)
Pass / Fail classification
Clear reasoning behind decisions
Audit-ready evidence package
Cold Chain Logistics SLA Enforcement
2

Tokenised Proof & Evidence Certificates

Convert AI decisions into digitally signed, tamper-proof certificates that can be independently verified by customers, partners, insurers, or regulators. Raw data stays private — only verified proof is shared.

Integrity Certificates
Cryptographic verification
Public/permissioned links
Long-term retention
Claims Prevention Audit Certainty Trust Building
3

Automated Compliance & Audit Evidence

Automate compliance verification by continuously checking operational data against defined rules and standards, then issuing machine-verifiable compliance proof.

Continuous compliance checks
Automated pass/fail decisions
Evidence bundles for audits
Reduced compliance workload
Pharma Food Safety ESG Reporting
4

Parametric Triggers & Risk Automation

Design and implement rule-based, AI-verified triggers that automatically initiate actions when predefined risk conditions are met — claim initiation, SLA breach notification, penalty workflows.

Defined trigger logic
AI validation (no false positives)
Automated downstream actions
Full traceability
Claims Penalties Escalations
5

Secure Data Sharing & Access Control

Enable controlled, auditable data sharing between organizations without exposing raw datasets. Access is granted, monitored, and revoked dynamically with AI-based anomaly detection.

Fine-grained access control
Time-bound access
Anomaly detection
Complete audit trails

"We use tokenisation as infrastructure, not as a product. If cryptography adds no value, we don't force it."

Eliminating Friction in Risk-Critical Operations

  • "Your data vs our data" arguments — replaced with verified, shared truth
  • Disputes between parties — resolved with explainable AI decisions
  • Claims fraud and manipulation — prevented with tamper-proof evidence
  • Manual investigation delays — eliminated with automated scoring
  • Spreadsheet-driven compliance — upgraded to continuous verification
  • Audit uncertainty — solved with immutable evidence packages

Clear, Phased Deliveries — No Open-Ended Experiments

🔍

Phase 1: Discovery & Design

Understanding your operations and defining success

  • Use case definition
  • ROI and risk impact assessment
  • Architecture & trust model design
⚙️

Phase 2: Build & Validate

Implementing and proving the solution

  • AI scoring model implementation
  • Certificate & verification pipeline
  • System integrations & pilot deployment
🚀

Phase 3: Operate & Scale

Continuous improvement and expansion

  • Model monitoring & tuning
  • SLA & incident support
  • Scale-out to new use cases

From Raw Data to Verified Proof

📥
Step 1

Data Ingestion

Telemetry, logs, and events flow into our secure pipeline

🧠
Step 2

AI Analysis

Explainable models evaluate integrity and detect anomalies

📊
Step 3

Risk Scoring

Single 0-100 score with clear reasoning and classification

🗃️
Step 4

Certificate Generation

Cryptographically signed, tamper-proof evidence package

Step 5

Verification Portal

Partners and auditors verify independently — no trust required

94
Integrity Score
PASS
Compliance Status
2.3s
Processing Time
SHA-256
Signed & Anchored

Built for Operations. Designed for Trust.

AI-First, Not Hype-First

Real outcomes for real operations. We focus on what moves your business — not demos.

🔒

Enterprise-Grade Security

SOC 2, ISO 27001, GDPR-ready. Your data stays yours. Always.

🎯

Clear Business Outcomes

Reduced disputes, faster decisions, lower risk — measurable impact from day one.

Industries Where Trust and Compliance Are Non-Negotiable

Cold Chain & Logistics Pharma & Life Sciences Insurers & Risk Carriers High-Value Asset Logistics Regulated Enterprises Food Safety ESG-Driven Reporting

Let's Talk

If your business depends on trust, compliance, and risk control, FyreOps can help you turn operational data into decisions that stand up to scrutiny.

Contact Us for a Pilot Discussion