For risk and model risk
A signed pack you can put in front of a supervisor without a scramble.
Govern. Guard. Observe. Respond.
Deploy AI in production. Prove what it did, under which rule, on whose authority.
An AI governance control plane sits between enterprise workflows and AI systems. It enforces ownership, policy, guardrails, telemetry, and response so regulated institutions can run AI in production and prove what happened. solvly is that plane: Govern, Guard, Observe, and Respond, with Jurisdiction Packs that encode supervisory instruments as policy-as-code.
The pilot works. Production stalls for months in serial risk, security and compliance gates.
Shadow AI in SaaS tools, embedded vendor models, agents with unbounded tool access.
Model risk lives in a spreadsheet. Assembling an answer for the supervisor takes weeks.
The best models are public APIs. The most valuable data cannot leave the building.
1.5%
of organisations say they have enough people for AI governance.
Industry research on capacity. Context for the hiring barrier, not a solvly metric.
Policy, risk classification, identity, ownership
Safety, prompt injection, PII, grounding
Audit, drift monitoring, telemetry capture
Incidents, notification, escalation, kill switch
Same control plane. Different outcomes depending on who you are in the room.
A signed pack you can put in front of a supervisor without a scramble.
Guardrails on prompts, tools, and data boundaries, with kill-switch paths.
Observe mode first. Enforcement when your own telemetry makes the case.
One plane across public and sovereign models. Prompts stay inside your walls.
9
HKMA AI circulars published since 2019
4
HKMA AI circulars issued in 2026 alone
12 mo
MAS transition window once Singapore guidelines are final
Banks to hospitals. Same bar: ownership, policy, telemetry, response.
Credit decisioning: fairness testing and reasons you can defend.
Underwriting and claims: pricing fairness and explainability.
Clinical decision support: high-risk class and post-market monitoring.
Trials and GMP: traceability and predetermined change control.
Fraud, network, biometrics: leakage risk and fairness.
Grid and demand automation: bounds on rogue action.
Contract review, audit, tax: hallucination and confidentiality.
An AI governance control plane is software between enterprise workflows and AI systems that enforces ownership, policy, guardrails, telemetry, and incident response. solvly is that plane for regulated institutions: Govern, Guard, Observe, and Respond.
Most programmes still run on spreadsheets. Cloud suites stop at one ecosystem. GRC tools stop at policy and inventory. Specialists usually cover validation or monitoring or policy, not all three with multi-jurisdiction packs. solvly combines those in one control plane.
solvly is an AI governance platform from solvly global limited in Hong Kong. It encodes supervisory instruments as Jurisdiction Packs, runs observe mode before enforcement, and keeps prompts inside the client environment across public and sovereign models.
Risk, model risk, security, and compliance leaders in banks, insurers, hospitals, pharma, telecom, energy, and professional services that need production AI they can prove and switch off.
No. Policy ships down as signed bundles. Telemetry returns as redacted metadata. Prompts and responses stay in the client environment.
Hong Kong and Singapore Jurisdiction Packs are in build first. Australia and New Zealand, the United Kingdom, the United States, Canada, the European Union, Southeast Asia, and East Asia follow on a published roadmap.
Forty-five minutes on your stack and your jurisdiction. We map the control gaps and leave you a clear next step. No slides.
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