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AI Risk Due Diligence
For companies using AI assistants, copilots, automated decisions or LLM-powered workflows in sensitive business processes.
Technical risk intelligence for owners and operators
Understand the systems your business depends on.
Hlinor reviews AI workflows, legacy websites, CRMs and backend systems to uncover hidden risks, technical debt and operational blind spots before they turn into expensive emergencies.
Read-only discovery first. Clear reports. Human-reviewed recommendations. No blind rewrites.
What Hlinor reviews
We focus on systems where business risk hides inside code, workflows, integrations and undocumented decisions.
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Kintsugi Kode
For old websites, CRMs and backend systems where the original developer is gone, documentation is missing and every change feels risky.
03
Legacy Store Risk Triage
For older ecommerce sites that still make money but show visible signs of legacy risk, fragile integrations or risky maintenance history.
New service
Kintsugi Kode: legacy system audit in 72 hours
We map your old website, CRM or backend, identify technical risks, document hidden dependencies and prepare a practical modernization plan. Selected legacy ecommerce systems can start with a paid pilot audit in the $500-700 range.
- System map and integration overview
- Risk register and technical debt review
- Quick wins and 30/60/90-day roadmap
- Owner-friendly summary plus technical appendix
AI risk
AI due diligence for workflows that affect customers
We review where AI is used, what it can decide, what data it touches, how humans review outputs and where governance gaps may create product, legal or operational risk.
- AI workflow inventory
- Human review and escalation checks
- Audit log, limitation and incident-response gaps
- Practical risk reduction plan
Low-friction first step
Not ready for a full audit? Start with risk triage.
Legacy Store Risk Triage checks public signals first: outdated stack clues, checkout friction, exposed artifacts, metadata issues and modernization red flags. If the system looks risky, move into Kintsugi Kode.
Case studies
Two anonymized legacy e-commerce audits now published.
See how Kintsugi Kode found hidden risks in legacy e-commerce systems and closed serious issues without breaking the storefront or admin panel.
Have an unclear system? Start with discovery.
Send us what you can safely share. We will review the case and recommend the right audit path.