Identity & access
Centralized authentication (SAML 2.0, SSO), role-based access control via Spatie Permission, multi-factor authentication, and session governance across all platforms.
Architecture
Built for clarity, isolation, and long-term maintainability.
Verisolutions structures platforms in explicit layers with per-customer isolation, controlled deployment models, and governance boundaries designed for regulated industries.
Layered model
Three layers of platform responsibility.
01
Corporate layer
verisolutions.io
Defines strategic direction, trust posture, and enterprise ownership standards. Establishes the governance rules that all products must follow.
02
Product layer
verigovern.com · trilled.app
Domain-specific products with independent release cycles, data models, and capability boundaries. Products inherit governance from the corporate layer but deploy independently.
03
Infrastructure layer
docs · status · monitor
Shared operational services including documentation, system status, monitoring, and health endpoints. Consumed by all products but owned centrally.
Isolation model
Per-customer infrastructure with no shared boundaries.
Every tenant operates within a completely isolated environment. There are no shared databases, no co-mingled storage, and no cross-tenant access paths.
Compute isolation
Each customer instance runs on isolated compute resources. No shared application processes between tenants.
Data isolation
Separate database instances per tenant. No shared tables, no co-mingled storage, no cross-tenant query paths.
Storage isolation
Object storage (S3-compatible) with tenant-specific paths and access controls. Evidence files are encrypted at rest with AES-256.
Identity isolation
Per-tenant authentication context with independent SAML provider configuration, role definitions, and session management.
Customer A
Compute
Database
Storage
Identity
Customer B
Compute
Database
Storage
Identity
Deployment models
Infrastructure aligned with procurement and compliance requirements.
All deployment models run identical application code. Only the infrastructure context changes — there is no separate enterprise version.
| Aspect | Managed Cloud | Dedicated Instance | IP Licensing |
|---|---|---|---|
| Infrastructure | Verisolutions-managed infrastructure | Dedicated server per customer | Customer-managed infrastructure |
| SLA | 99.9% uptime SLA | Enterprise SLA | Customer-managed |
| Updates | Automatic, managed schedule | Customer-approved windows | Customer-managed |
| Onboarding | Days | 1–2 weeks | Custom |
| Best for | Standard compliance requirements | Elevated compliance or data residency | Regulatory mandate for on-premise |
Control plane
Shared services that enforce governance across all products.
Audit & evidence
Immutable event logging with user identity, timestamp, and context. Change tracking and evidence capture designed to meet evidentiary standards for regulatory compliance.
Policy enforcement
Multi-step approval workflows with role-based routing, escalation, and delegation. Visual workflow design via Workflow Studio. Module-based licensing enforcement at the route level.
Principles
Architecture decisions that guide every platform.
Explicit boundaries
Every service, platform, and data domain has clearly defined ownership and integration contracts. When an auditor asks "who owns this data?", the answer is immediate.
Independent deployability
Products release on their own cadence without requiring cross-platform coordination. A change to one product cannot break another.
Shared governance
Identity, audit logging, and compliance controls are inherited from the corporate layer — maintained once, consumed everywhere.
Observable by default
Health endpoints, status pages, documentation, and infrastructure monitoring are first-class operational concerns — not afterthoughts.
Operational commitments
If production breaks, here is who handles what.
Operational maturity is not a policy document — it is a system property. These commitments define how issues are escalated, how updates reach production, and what service levels are guaranteed.
Support escalation model
01
Self-service Documentation & knowledge base
02
Support Ticketed support (email / portal)
03
Engineering Engineering escalation
04
Incident Incident response team
Update lifecycle
01
Development & testing
All changes pass automated test suites and code review before entering the release pipeline. No direct-to-production deployments.
02
Staging validation
Updates are deployed to a staging environment that mirrors production. Regression testing and smoke tests are executed before promotion.
03
Controlled rollout
Managed Cloud instances receive updates on a managed schedule. Dedicated Instance customers approve update windows in advance.
04
Post-deployment verification
Health checks, monitoring alerts, and automated smoke tests confirm system stability after every deployment. Rollback procedures are tested and documented.
SLA posture
Uptime commitment
99.9% availability SLA for Managed Cloud. Dedicated Instance SLAs are negotiated per contract. Maintenance windows are scheduled and communicated in advance.
Response time
Critical incidents: acknowledgment within 1 hour. Standard support: response within 1 business day. Engineering escalations: triaged within 4 hours.
Communication protocol
Status page updates for service-affecting events. Direct notification to affected customers for security incidents. Post-incident reports for severity 1 and 2 events.
Request an architecture review.
Technical discussions and architecture deep-dives available for enterprise partners.