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Architecture Diagrams Twelve reference designs, from simple to advanced.Insights Practical AI, Power Platform and Azure perspectives.Ways to Work Together Scope, deliverables and next steps.Find Your Starting Point Five questions to explore the fit.
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SEE HOW THE PIECES CONNECT

From the User’s Day
to the System Design.

Twelve reference patterns, from foundational workflows to multi-layer Azure and AI architectures. Each pairs a people view with a technical design, drawn in the format that explains it best: sequences, state models, journeys, timelines, Gantt plans and layered architectures.

Capability Map / ADVANCED PATTERN

Connected Expertise. One Delivery Model.

Timeline. How an engagement moves from discovery to ongoing improvement, with a clear finish point at each stage.

Layered architecture. How business analysis and project management connect Power Platform, AI services and Azure under shared governance.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. Business analysis turns goals into requirements; project management plans and controls the delivery around them.
  2. Power Platform, AI services and Azure are designed as connected layers rather than separate tools.
  3. Shared identity, environment policies and runbooks keep the whole solution governable after launch, and measured outcomes feed the next round of requirements.

Design Considerations

A capability map, not a promise that every engagement needs every platform. Licensing and integrations depend on scope.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

AI & Automation / ADVANCED PATTERN

Extract the Detail. Keep People in Control.

Sequence diagram. Who hands what to whom, in order, when an invoice arrives—and what changes when the numbers do not match.

Layered architecture. Five layers from intake to audit, with confidence thresholds and tolerance rules deciding where people step in.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. An authenticated integration retrieves approved invoice and timesheet documents for processing.
  2. Document Intelligence extracts fields; Python matching logic compares contractor identities, hours and rates with the approved records.
  3. Exceptions go to finance for review. Only approved items continue into the agreed downstream workflow.

Design Considerations

Based on the recruitment accounts-payable project using Document Intelligence, Python and MSAL. This is a simplified pattern; extraction is not treated as a payment approval or a guarantee of accuracy.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

AI & Automation / ADVANCED PATTERN

Find the Answer. Respect the Access Boundary.

User journey with satisfaction scores. How the experience feels at each step, scored from 1 to 5, including the moment an answer is not available.

Dual-pipeline architecture. A scheduled ingestion pipeline and a per-question query pipeline, joined by a permission-aware index and an evaluation loop.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. Approved sources are chunked, embedded and indexed on a schedule, with access-control fields stored alongside each passage.
  2. Each question is searched with the user’s own group claims as a security filter, then re-ranked for relevance.
  3. The model answers only from retrieved passages, with citations. When evidence is thin, it says so and refers the question to an owner.

Design Considerations

An illustrative retrieval-augmented generation design informed by the case-file search project. Index design, refresh frequency and evaluation criteria are agreed per use case.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

AI & Automation / INTERMEDIATE PATTERN

Self-Service When It Helps. A Human When It Matters.

Sequence diagram. A real conversation pattern: resolved by guidance, or handed to a technician with the context already captured.

Component architecture. Channels, the agent runtime, the service desk and the improvement loop behind the reported 30% ticket reduction.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. An employee describes the issue. The assistant retrieves relevant approved support material within the intended access boundaries.
  2. The employee tries the guidance and confirms whether it helped. Missing or unsuitable answers are routed to a human rather than presented as certainty.
  3. The handoff carries the issue and steps already attempted. Employee feedback and reporting inform a reviewed knowledge-improvement process.

Design Considerations

A reference flow based on the supplied employee support-agent project, which reported 30% fewer IT tickets over three months. Feedback does not automatically retrain a model; improvements require review and the agreed implementation process.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Power Platform / FOUNDATIONAL PATTERN

One Request. A Visible Decision.

User journey with satisfaction scores. The same request scored before and after the app, from the requester’s and manager’s point of view.

State diagram. Every state a request can be in, and the event that moves it on—including clarification and escalation.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. A structured request captures the business reason and required details before routing.
  2. A workflow applies the agreed approval rules and records decisions, with clarification and escalation paths.
  3. Only approved requests move to fulfillment. Ownership, status and completion remain visible to the requester and delivery team.

Design Considerations

An illustrative reference pattern linked to the supplied hardware approval project. Platform choices, approvers, escalation periods, licensing and integrations require discovery. A workflow status does not itself authorize spending or procurement.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Power Platform / INTERMEDIATE PATTERN

Capture Once. Sync When Connected.

Process flow. The field worker’s loop: capture offline, keep working, sync when coverage returns.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

Sequence diagram. What passes between the mobile app, the on-device store, Dataverse and Power Automate, including conflicts.

How It Works

  1. Users sign in and prepare the app and permitted records while connected, before heading into the field.
  2. The app stores supported changes locally while offline and displays their sync status.
  3. When connectivity returns, changes synchronize and conflicts or errors are surfaced for resolution. Reporting uses synchronized records.

Design Considerations

An illustrative Power Apps / Dataverse option based on the supplied offline-app project. Offline support, data security and conflict handling must be designed and tested for the selected devices and app type.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Azure / ADVANCED PATTERN

A Landing Zone With Clear Boundaries.

Decision tree. How each workload is assessed: retire, rehost, refactor or keep on-premises under Azure Arc.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

Network architecture. Hub and workload spoke networks, segmented subnets, private endpoints and shared platform services under policy.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. A hub network holds shared connectivity: the VPN gateway, firewall and Bastion for administrative access.
  2. Workloads sit in a spoke network with separate web, application, integration and private-endpoint subnets, so each tier is reachable only from where it should be.
  3. Key Vault, managed identities, monitoring, backup and budgets are shared platform services, governed by Azure Policy and role-based access.

Design Considerations

An illustrative reference pattern. The right topology, security services and SKUs depend on the workload, compliance needs and budget.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Azure / INTERMEDIATE PATTERN

A Consistent Desktop. A Planned Recovery Path.

Sequence diagram. A desktop incident from first report to business acceptance, with the two recovery paths that apply.

Component architecture. Identity, the AVD control plane, session hosts, the golden-image lifecycle and operations in one view.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. Users connect to Azure Virtual Desktop through identity controls and the managed service connection path.
  2. Session hosts run within the Azure network, with profile storage supporting the designed user experience.
  3. A maintained golden image supports repeatable host deployment. A separate recovery plan defines owners, escalation, dependencies and scenario exercises.

Design Considerations

An illustrative Azure Virtual Desktop design informed by the desktop and disaster-recovery projects. A golden image alone is not disaster recovery; backups, profile protection, application data, recovery targets and restore tests require their own design.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Azure / FOUNDATIONAL PATTERN

On-Premises Power. Managed From Azure.

Process flow. Five steps from a compute need to a server governed alongside cloud resources.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

Component architecture. An on-premises GPU server projected into Azure through Azure Arc for policy, monitoring and access.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. The GPU and high-memory server stays on-premises, close to the data and hardware it needs.
  2. The Azure Connected Machine agent registers the server with Azure Arc over outbound HTTPS.
  3. Azure Policy, monitoring, updates and role-based access then apply to it much like any other Azure resource.

Design Considerations

Based on the hybrid GPU compute project. Network requirements, agent support and the cost of Arc-enabled services are confirmed for each environment.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Business Analysis / INTERMEDIATE PATTERN

From a Business Need to a Tested Requirement.

Mind map. What a discovery workshop captures before anyone discusses tools.

Traceability diagram. Each requirement traces from the business objective to user stories, acceptance tests and sign-off.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. Workshops capture stakeholders, the current process, constraints and how success will be measured.
  2. Requirements are prioritized and broken into user stories the delivery team can build.
  3. Every story has an acceptance test, so sign-off checks the original need rather than a feature list.

Design Considerations

Illustrated with the accounts-payable example. The depth of documentation is matched to the size and risk of the project.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Project Management / INTERMEDIATE PATTERN

Phased Rollout. Controlled Change.

State diagram. How a change request moves from raised to delivered, deferred or rejected—without derailing the plan.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

Gantt chart. An illustrative phased migration plan with a pilot gate, rollout waves and a benefits review.

How It Works

  1. Initiation and design establish scope, inventory, licensing and the rollback plan before anything changes.
  2. A pilot with representative users ends in an explicit go or no-go decision.
  3. Rollout proceeds in waves, followed by handover, retirement of the legacy platform and a review of the benefits achieved.

Design Considerations

Modelled on the phased Mac fleet migration. Dates are illustrative; real plans reflect dependencies, availability and change windows.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

Migration / INTERMEDIATE PATTERN

Move the Content. Preserve the Way People Work.

Quadrant chart. Sorting content by use and value decides what moves first, what is archived and what is removed.

Phased process. Five phases with a pilot sign-off loop and wave-based migration.

🟣 Identity & Governance🔵 Applications & Services🟢 Data & AI🟠 Decisions🔴 Exceptions

How It Works

  1. Discover sites, content owners, permissions and dependencies. Identify outdated content, customizations and migration blockers before choosing the migration approach.
  2. Design the destination information structure and access model. Run a representative pilot and validate content, metadata and permissions with business owners.
  3. Migrate in agreed waves, reconcile changes and validate before cutover. Guide users to the new locations and hand over ownership and support documentation.

Design Considerations

A reference migration journey based on the supplied SharePoint migration project. Tool choice, supported metadata, custom solutions, retention requirements, delta migration and downtime must be assessed. Source decommissioning follows agreed validation and retention decisions.

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Illustrative reference patterns, not exact client deployment maps. Use View Full Screen to fit the complete diagram, or scroll within this panel to inspect detail.

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