Workload-based selection
Choose model and service configurations against representative tasks. Compare answer quality, reasoning needs, response time and consumption.
PLATFORM / THE CONEXIQ INTELLIGENCE LAYER
The Conexiq
Intelligence Layer.
Enterprise intelligence infrastructure connecting models, knowledge, tools and governance into an operational system—implemented within the organisation’s tenant and approved service boundaries.
MODULAR PLATFORM ARCHITECTURE
Interaction. Orchestration.
Governance.
Three connected layers give agents a useful experience, a controlled route to enterprise knowledge and actions, and an accountable operating foundation.
INTERACTION LAYER
A useful experience in the right channel.
Capture structured or conversational intent in the employee’s existing work context. Establish the caller and maintain a consistent answer, evidence and status experience.
Interface: user request and authenticated context → response, references and operation status.
TENANT-BOUND DEPLOYMENT
Your identity. Your enterprise context. Defined execution boundaries.
We design deployments around the client’s tenant and approved cloud resources, with scoped identities, permitted knowledge and tools, and an explicit record of data flows and service boundaries.
REFERENCE ARCHITECTURE
See how the pieces
connect.
The experience connects to knowledge and tools through an explicit orchestration boundary. Identity and authority are established by the services responsible for each operation.
KNOWLEDGE AND GROUNDING
The right context.
A response with evidence.
Establish authoritative sources, ownership and retrieval boundaries before a model forms an answer.
Curated enterprise knowledge
- SharePoint, Microsoft 365 and connected repositories
- Domain-specific source and indexing strategies
- Review ownership, freshness and publication decisions
Permission-aware retrieval
- Caller identity and source access enforced at the retrieval boundary
- Evidence-linked responses and controlled summarisation scope
- Defined behaviour for missing or conflicting guidance
MODEL AND REASONING CONTROL
Deliberate model use.
Measurable behaviour.
Select and configure models around the workload: quality, reasoning depth, latency, cost and the sensitivity of the business operation.
Versioned behaviour
Version prompt policies, system templates, retrieval configuration and tool contracts alongside the application release.
Reasoning and escalation
Define which decisions the system can support, where evidence is insufficient and when human review is required.
Consumption controls
Design request limits, workload budgets, usage visibility and exception handling around the operating model.
AGENT ORCHESTRATION AND TOOLS
Connect intent to
bounded execution.
Agent routing, tool selection and workflow orchestration operate through defined interfaces and enforceable permissions.
Orchestration patterns
- Single-agent and multi-agent designs where the business scenario warrants them
- Explicit hand-offs, shared context boundaries and result contracts
- Event-driven and synchronous integration
- Retries, duplicate handling and partial-completion paths
Governed tool execution
- Scoped read, write and update operations
- Role-bound action enforcement and server-side validation
- Structured approval checkpoints before consequential actions
- APIs connecting ERP, ITSM, CRM and line-of-business systems
GOVERNANCE CORE
Identity and policy
carried through the system.
Entra ID, Microsoft Graph and service-level authorisation establish the caller, the permitted context and the operations that may proceed.
Identity-first boundaries
Choose delegated access, application identities and managed identities deliberately. Test permitted and denied journeys under the relevant identity.
Policy-aligned progression
Translate agreed policy decisions into checks, approval responsibilities and exception paths at the service boundary.
Traceable execution
Connect the request, approval, tool invocation and business result through correlation and structured run records.
EVALUATION AND CONTINUOUS ASSURANCE
Prove the behaviour.
Keep measuring it.
Treat evaluation as part of the module lifecycle, including changes to knowledge, models, prompts and tools.
Before release
- Representative evaluation harnesses and regression sets
- Answer grounding, tool routing and restricted-access scenarios
- Policy alignment and human-review paths
- Pre-release quality and environment promotion gates
During operation
- Feedback, source freshness and answer-quality trends
- Behaviour drift detection and re-baselining when inputs change
- Monitoring, alerting and incident diagnostics
- A prioritised improvement backlog with accountable owners
OPERATIONS AND OBSERVABILITY
Inspect what happened.
Support what runs.
Run-history and dataset retrieval, cross-system correlation, monitoring and diagnostic access connect technical activity to the business operation.
- Execution state, failures and partial outcomes
- Scoped diagnostic and run-data access
- Rate limiting and cost visibility
- Incident escalation, replay rules and recovery procedures
INTELLIGENCE FLOW
Ask. Validate. Execute. Return.
Each stage carries a defined responsibility through the operation.
01
Ask
Capture the user’s intent and relevant context.
02
Validate
Check identity, policy, knowledge scope and authority.
03
Execute
Orchestrate the permitted retrieval or approved operation.
04
Return
Provide a useful response, references and traceable status.
LET’S BUILD THE NEXT CAPABILITY
Build a coherent enterprise intelligence capability.
Start with a reusable module, connect the relevant sources and tools, and deploy through the organisation’s enterprise controls.