Intent
Business objectives become explicit missions, KPIs, budgets and stop conditions.
SHOFIELD AI PLATFORM
One control system for agents, models, knowledge and action.
The Shofield AI Platform is the planned orchestration layer for governed AI operations. It brings missions, AI workers, organisational knowledge, model routing, tools, permissions, approvals, evaluations and auditability into one operating architecture.
PLATFORM ARCHITECTURE
Intent becomes controlled execution through six connected layers.
The Control Plane surrounds the architecture rather than appearing as a final security checkbox.
- 01
Mission Command
PlannedObjectives, missions, decisions, approvals, KPIs, budgets and exceptions.
Explore layer - 02
AI Workforce
PlannedRole-based AI workers with objectives, tools, permissions, escalation and measurable performance.
Explore layer - 03
Shofield Brain
PlannedVersioned organisational knowledge, evidence, decisions, policies and operating memory.
Explore layer - 04
Model Gateway
PlannedApproved models routed by capability, quality, cost, privacy, region and fallback.
Explore layer - 05
Tool Registry
PlannedControlled access to approved enterprise systems, integrations and APIs.
Explore layer - 06
Control Plane
PlannedIdentity, permissions, approvals, evaluations, audit, budgets, monitoring and rollback.
Explore layer
OPERATING LOOP
Plan, constrain, act, verify and improve.
Automation is valuable only when its purpose, authority and evidence remain visible.
Context
Approved knowledge and evidence are retrieved within permissions and customer boundaries.
Selection
Models and tools are selected through policy, capability, privacy, cost and fallback rules.
Action
AI workers act only through approved tools, limits and human gates.
Evidence
Evaluations, audit, monitoring and operating outcomes determine whether work continues or rolls back.
DEPLOYMENT
One platform architecture across four control levels.
The selected edition changes infrastructure, connectivity, model execution, keys, administration and update authority.
CloudControlled PreviewFastest deployment. Managed operation.Review deployment PrivateCustom DeploymentDedicated environment. Greater isolation.Review deployment SovereignCustom DeploymentJurisdiction, data, model and operational control.Review deployment Air-GappedPlannedMaximum runtime isolation. No external connectivity.Review deployment
MANAGED AI OPERATIONS
Keep the system current after go-live.
Performance, evaluations, permissions, providers, cost and workflow expansion continue to require accountable operation.
SECURE AI DEPLOYMENT ASSESSMENT
Turn one qualified AI initiative into a decision you can defend.
Define the workflow, architecture, controls, economics, acceptance criteria and 90-day production route before committing to implementation.