Layer 01
Business Experience
Vibrant Outcomes, StoryBoardAI, AchieveAI and EnvisionAI provide distinct experiences while sharing common data, context, security and collaboration services.
Tailored by business purpose and role.
VibrantAI combines business configuration, federated data access, analytical services, AI orchestration, collaboration and enterprise operations in one scalable platform that can be hosted by VibrantAI, deployed within the customer environment or delivered as a dedicated fully managed instance.
The architecture is designed to preserve authoritative enterprise systems, connect only the evidence required for each business experience and align the deployment model to the customer’s cloud strategy, enterprise subscriptions, infrastructure standards and operating requirements.
The platform separates business experience, shared application services, analytics, AI, integration and cloud operations so each layer can evolve without rebuilding the entire solution.
Vibrant Outcomes, StoryBoardAI, AchieveAI and EnvisionAI provide distinct experiences while sharing common data, context, security and collaboration services.
Plans, Commitments, Value Streams, measures, hierarchies, pages, roles, review editions and access rules are defined as reusable configuration.
Query, transformation, scorecards, contribution, driver, sensitivity, scenario and operational analysis are delivered through shared analytical services.
Natural-language interaction, retrieval, document context, analytical synthesis and protected AI processing support EnvisionAI and AskAI.
Connections to systems, databases, warehouses, semantic models, files, documents, APIs and embedded BI bring evidence into the required business context.
Containerised application and analytical services support interactive queries, asynchronous workloads, analytical processing and AI-assisted execution across VibrantAI-hosted and customer-hosted environments.
Environment management, observability, deployment, release control, monitoring and support can be operated by VibrantAI, by the customer or through an agreed shared operating model.
Role-sensitive access, tenant boundaries, protected data, AI controls, auditability and customer-specific architecture apply across every platform layer.
VibrantAI supports both VibrantAI-hosted and customer-hosted deployment. Customers can also choose a dedicated, fully managed instance in the cloud of their choice, combining platform flexibility with a clear operating and support model.
Select a hosting profile to see how VibrantAI aligns to different enterprise cloud, infrastructure and operating models.
VibrantAI operates the platform services while the customer governs users, business definitions, source access and enabled experiences.
VibrantAI can query, retrieve, transform, cache, persist or embed information according to the capabilities of the source and the requirements of the business experience.
VibrantAI can operate alongside the customer’s existing cloud, data and application estate while using the organisation’s enterprise subscriptions, governance standards and infrastructure-management practices.
Deploy containerised VibrantAI services and supporting metadata components within the selected customer-controlled or dedicated cloud environment.
Use customer-managed analytical platforms for source processing, evidence and deployment patterns where supported by the customer architecture.
Connect to customer-managed business applications, APIs, files and document services while preserving existing access and governance practices.
Connect to supported databases, governed semantic models and embedded BI while maintaining the customer’s authoritative analytical architecture.
VibrantAI separates business context, retrieval, analytical execution and provider invocation so AI services can be selected according to security, contractual, performance and functional requirements.
Interactive dashboards, long-running analytical jobs, document processing, scheduled refreshes and AI workloads have different resource and response requirements.
Application, query, analytical, document and AI services can scale according to their own workload profile.
Separate immediate user interactions from scheduled, queued or long-running analytical work.
Reuse governed analytical results where appropriate to improve responsiveness and reduce unnecessary source workload.
Apply service limits, prioritisation and isolation patterns according to customer and deployment requirements.
Select query, extract, transform and persistence patterns according to source capability and latency.
Add users, data domains, outcomes and review editions without requiring a full platform redesign.
Use service telemetry, job history and error context to identify performance and reliability issues.
Define service capacity and performance objectives according to actual sources, concurrency and analytical demand.
Business configuration, source integrations, security rules and platform releases require coordinated change management so innovation does not compromise service stability.
Enterprise SaaS operation requires more than infrastructure availability. Data freshness, integration health, analytical jobs and AI services also affect the business experience.
Monitor availability, latency, capacity and service errors across the operating platform.
Track source access, scheduled work, failures, duration and data freshness for managed analytical processes.
Monitor enabled AI services, invocation status, protected context flow and operational exceptions.
Use defined support, escalation and change-management processes aligned to the customer service arrangement.
Technology implementation is tied to a defined outcome, review, analytical domain or conversational use case rather than delivered as an isolated infrastructure programme.
Users, business purpose, decisions and required evidence.
Sources, identity, deployment, AI and trust requirements.
Queries, APIs, files, documents, semantic models and BI.
Measures, entities, pages, roles, workflows and reviews.
Security, data, performance, AI, usability and support.
Release, monitor, support and measure business use.
Additional outcomes, functions, users and workloads.
VibrantAI provides reusable enterprise technology services across hosted and customer-controlled environments. The detailed deployment, integration, security, AI and operating design is aligned to the customer’s enterprise architecture.
The shared technology foundation provides consistent application, analytical, AI, collaboration and operational capabilities.
The selected architecture reflects customer requirements, existing technology investments and the enabled business experiences.
VibrantAI supports managed SaaS, customer-hosted and dedicated fully managed deployment—allowing organisations to use their preferred cloud, enterprise subscriptions, infrastructure practices and operating model while expanding progressively.