Roadmap & Vision

This page describes the direction BondGovernance is building towards. It sets out the certification path and the technical architecture we are engineering the platform against, so that counterparties, prospective enterprise customers and prospective investors can evaluate the trajectory alongside the current state.

Statements on this page are forward-looking. They describe intent and design targets, not certifications already held or capabilities already generally available. Current controls are documented on the Security page.

BondGovernance is engineered to the ISO/IEC 27001:2022 control set from day one. The intent is to obtain independent certification against the standard once the platform reaches the appropriate operating maturity. Until certification is issued, we do not claim to be certified.

• Information Security Management System (ISMS) scoped to the BondGovernance governance-infrastructure service.
• Annex A controls mapped to internal policies, deterministic pipelines and append-only audit logs.
• Underlying platform services (Microsoft Azure, EU Data Boundary) already carry ISO/IEC 27001 and SOC 2 Type II certification at the platform layer.
• Roadmap alignment with adjacent frameworks used by our counterparties: SOC 2 Type II, DORA operational-resilience expectations, and ISAE 3402 for processor assurance.

Certification timing depends on external audit availability and is disclosed under NDA on request via trust@bondgovernance.com.

The platform is being built so that all model inference relevant to governance decisions can be executed inside the customer's own trust boundary. We refer to this as the in-house AI posture. It is the architectural direction we are engineering against, not a feature already generally available.

• Model calls isolated behind a deterministic gateway; every model-derived value carries provenance and never bypasses the audit trail.
• Deployment topology designed to support customer-managed regions and, for enterprise customers, deployment inside the customer's own Microsoft Azure tenant.
• No customer content used to train third-party models. Prompts and documents remain within the EU data boundary of the selected deployment.
• Governance decisions are produced by deterministic rules over extracted evidence, the model extracts, the engine decides.

Enterprise procurement in regulated finance repeatedly stalls on the same questions: where does the data sit, who can see it, which model is used, and can the vendor be audited. The in-house AI direction is designed so that the answer to each of these is resolvable inside the customer's existing controls.

• Data residency answered by the customer's own Azure tenant, not by a vendor promise.
• Model governance answered by the customer's own model catalogue and DLP policy.
• Audit answered by an append-only ledger the customer already controls the retention of.

The intended effect is a shorter path from first conversation to production, without the multi-quarter pilot cycles typically required to admit a new SaaS vendor into an enterprise data perimeter.

• Managed EU tenant, default today. Sovereign EU data residency on Microsoft Azure.
• Customer-managed region, on the roadmap. Compute pinned to a customer-nominated Azure region.
• Bring-your-own tenant, target enterprise posture. BondGovernance deployed inside the customer's Azure tenant, model calls routed to the customer's own Azure OpenAI or approved inference endpoint.

Roadmap items are prioritised against the deterministic-code standard that governs the platform: any change that would break provenance, reproducibility or auditability is rejected regardless of commercial upside. Detailed engineering timelines, contractual commitments and third-party dependencies are shared under NDA via trust@bondgovernance.com.

Enterprise architecture and security review requests: trust@bondgovernance.com. General enquiries via the contact page.