MarlonGPT turns a proven personal solution into a secure, repeatable Azure framework—adaptable to your organization’s data, workflows, teams, and business challenges.
Normalizes evidence, applies business policy, correlates signals, validates outputs, and routes actions.
A shared Python intelligence fabric runs inside Container Apps before and after every model call.
Deterministic filters, bounded schemas, source preservation, and explicit failures prevent silent drift.
Higher-availability capacity in East US 2 with 800 AI-assisted runs, production telemetry, protected workloads, and room for traffic bursts. Planning range: $180-$350/month.
Azure Container Apps
Container Registry
Azure AI Foundry
Logic Apps + connectors
Azure Files
Log Analytics
Identity + Key Vault
Defender for CloudSignals move through a governed IQ layer before a specialized agent converts them into an action, report, plan, or customer communication.
Grounded enterprise and public information.
The shared intelligence fabric for every agent.
Role-specific agents with bounded responsibilities.
Audience-ready outcomes with explicit controls.
Microsoft Purview governs, protects, classifies, audits, and applies compliance controls to organizational data, prompts, outputs, and agent interactions.
Microsoft Agent 365 provides registry, lifecycle administration, access oversight, health, analytics, and centralized management for the AI workforce.
Azure Container AppsElastic application and agent runtimeAzure Logic AppsManaged connectors, email, and schedulesAzure AI FoundryGPT-5.6 Sol editorial and reasoning modelAzure Container RegistryVersioned, repeatable application deliveryManaged IdentityPasswordless service-to-service accessDefender for CloudPosture and workload protectionThe IQ layer combines deterministic software controls with model reasoning so outputs remain grounded, useful, and governed.
Connects to approved sources, normalizes records, resolves identities, and preserves links back to evidence.
Applies filters, thresholds, ranking, correlation, and business policies before recommendations are produced.
Uses Foundry models for audience-aware synthesis while constraining facts, counts, links, and response structure.
Coordinates schedules, health, recipient routing, execution status, and delivery history across the network.
A repeatable six-stage process separates retrieval, policy, reasoning, validation, delivery, and observability.
Read approved enterprise and public sources.
Resolve records, owners, dates, links, and source context.
Filter scope and enforce agent-specific business rules.
Rank signals and compose the intended outcome.
Check structure, privacy, links, limits, and delivery readiness.
Publish, preload, or send one private message per recipient.
Each agent owns a clear business outcome while reusing the same secure platform, IQ controls, and delivery services.
A controlled learning loop lets agents compare evidence, recommend better collaboration, and improve only after Marlon authorizes the change.
Recorded agent collaboration provides specific evidence about handoffs, context, role boundaries, and working patterns. Complaints cannot be invented for entertainment.
Foundry facilitates daily or weekly peer reviews, with no more than one review per agent per day and no more than three pending suggestions per agent.
Every recommendation remains a proposal. Agents cannot modify their own instructions, behavior, responsibilities, workflows, or configuration.
An approved recommendation becomes a visible instruction. Confidential complaints stay in the private HR ledger and never enter shared meetings, reports, or agent conversations.
Customer-facing automation is bounded by explicit access, confirmation, validation, and delivery safeguards.
Cloud posture management and workload protection complement identity, connector, and application controls.
Passwordless administrator access, managed identities, and Microsoft-managed enterprise connections.
Dataverse changes are prepared locally and require explicit confirmation before submission.
Every outbound email is generated and sent to exactly one recipient. Multi-recipient requests are rejected.
Learn how the MarlonGPT framework can be replicated and adapted to address the unique challenges within your organization.