Risk governance
You are accountable for AI governance outcomes. Your audit cycle runs quarterly. The risk moves in real time.
EU AI Act enforcement is open. ASIC has signalled on AI-assisted financial advice. Board directors face personal liability for governance failures they cannot demonstrate they had visibility over. The gap between the audit cycle and the risk cycle is where exposure builds.
Boris is the risk governance operator within our platform. Software that runs the five-track governance cycle continuously — supervised by a named GRC practitioner who signs every material verdict.
Recent work
Where the current model fails
Three structural gaps in every traditional GRC programme.
Periodic, not continuous
A quarterly controls cycle can't detect a risk that materialises in week six. The audit is clean. The exposure is live.
Sampling, not full-population
Sampling-based audits miss tail risk. Full-population review is the standard that regulators are moving toward and auditors can't yet deliver manually.
Reactive, not predictive
Post-incident reviews confirm what happened. They don't surface what's building. By the time the finding lands, the board conversation is already harder.
The five tracks
A continuous governance cycle across every material risk surface.
| Track | Replaces | Output |
|---|---|---|
| Controls Assurance | Quarterly controls-cycle audit | Controls register, live gap scoring, regulatory citation |
| Dynamic Audit | Annual sampling audit | Full-population review, anomaly flags, trend analysis |
| Third-Party Risk | Procurement-gate vendor assessment | Vendor risk register, live conformity scores, material-change alerts |
| Payment Integrity | Post-incident payment review | Anomaly detection, recovery pathway, population coverage rate |
| AI Governance | Ad-hoc AI compliance check | System inventory, lifecycle gate evidence, EU AI Act + NIST scoring |
Human sign-off
Every material verdict carries a named GRC practitioner’s signature.
Boris identifies. Boris flags. A named human practitioner with 15 years in regulated environments reviews every material risk finding before it reaches your board or your auditor. Software does the work. A human carries the accountability.
GRC practitioner
Peter Balcarek
15 years in GRC across regulated environments. Named human-in-the-loop for all material Boris verdicts — controls assurance, dynamic audit findings, and AI governance gate decisions.
Market validation
Enterprise advisory firms now describe agentic continuous monitoring as the only viable architecture for AI risk governance.
We built the same model for mid-market organisations that carry enterprise-grade AI exposure without enterprise-grade risk teams.
Regulated verticals
A board that can answer “what is our AI governance posture?” in real time.
An audit trail that is ready when the regulator asks — built continuously, not assembled under pressure.