Manual Processes
Repeated emails, spreadsheets, handoffs, rework, and administrative work that slow the business down.
Automate the process, not the mess
Design business applications, automate processes, and connect Microsoft 365 using Power Apps, Power Automate, and Dataverse, with security, governance, and maintainability built into the architecture.
Power Apps • Power Automate • Dataverse • SharePoint • Microsoft 365 Integrations

Requirement first. Platform second.
Select Power Platform after the process, data, permissions, ownership, integrations, and lifecycle are understood.
What happens first
The first conversation frames the business process, current apps or flows, ownership, data, integrations, and governance constraints before recommending Power Apps, Power Automate, Dataverse, or custom engineering.
Initial consultation is used to determine whether the right next step is governance review, architecture design, remediation, or delivery.
Best for
Who should attend
What to bring
What you get
Business problems
The engagement starts with the process problem, not a product name. Power Platform is useful when it removes friction without locking a messy process into new software.
Repeated emails, spreadsheets, handoffs, rework, and administrative work that slow the business down.
Legacy or inefficient forms that need better user experience, validation, security, and control.
Business decisions handled through email threads or inconsistent manual follow-up.
Processes that need task-focused apps instead of spreadsheets, ad-hoc lists, or unmanaged workarounds.
Processes spanning SharePoint, Teams, Outlook, Microsoft 365 data, and business systems.
InfoPath, SharePoint Designer, and older SharePoint-based processes that need architecture decisions.
Architecture decision
These technologies are not mutually exclusive. Serious solutions often combine them, but the combination should follow the requirement.
Define the outcome, users, data, approvals, integrations, ownership, and exceptions.
Use Microsoft 365 configuration when it can satisfy the requirement without custom app or automation complexity.
Use automation when the process needs triggers, approvals, notifications, orchestration, or controlled handoffs.
Use an app when users need a structured interface, task flow, form, or operational experience.
Use Dataverse when relational data, role-based security, auditing, ALM, or stronger business data modeling is justified.
Use custom engineering when SharePoint UI or secured integrations exceed Power Platform-native boundaries.
Capability roles
Each platform capability has a different role. The architecture should make those roles clear before anything is built.
Business apps, forms, operational interfaces, and guided task experiences when users need more than a list view.
Production automation with trigger logic, validation, approvals, actions, error handling, monitoring, and ownership.
Business data architecture where structured relationships, security, auditing, packaging, and ALM are justified.
Data architecture
Choose the data platform based on the application’s requirements, not product preference.
Decision depth: Power Apps Data Source Decisions.
Solution architecture
Most business-process solutions connect user experience, automation, data, Microsoft 365 services and approved integrations. Not every project uses every layer.
Architecture checks
Target pattern
Apps, flows, data, and integrations are designed together so the process can be supported after launch.
User experience
Where people enter data, review work, and complete tasks.
Automation
Triggers, approvals, notifications, orchestration, exceptions, and scheduled work.
Business data
Structured records, documents, permissions, metadata, ownership, and retention.
Integration
Approved services, connection references, business systems, monitoring, and error handling.
Controls around every layer
Legacy modernization
InfoPath does not automatically become Power Apps, and SharePoint Designer does not automatically become Power Automate. First understand the process, data, logic, dependencies, owners, and target architecture.
Avoid one-to-one conversion thinking
Some legacy functionality should be retired, simplified, or handled with native Microsoft 365 before selecting Power Platform or SPFx.
Current
InfoPath
Current
SharePoint Designer
Current
Manual process
Process, users, owners, exceptions, volumes, and business value.
Data, logic, dependencies, permissions, integrations, and support risk.
Retain, replace, modernize, rebuild, or retire based on evidence.
Possible target architecture
Process discovery
Automation should remove unnecessary complexity, not encode it permanently. Discovery checks who owns the process, who uses it, where data lives, what permissions are required, what exceptions exist, what integrations are required, and what happens when automation fails.
Automate only after the process is clear
If the trigger, owner, approval path, and failure response are unclear, the first deliverable is process clarity, not a new flow.
Discovery output
The goal is to understand ownership, decisions, data, and failure paths before choosing Power Automate or Power Apps.
What starts the work?
Form submit, file created, request received, schedule, event, or system signal.
What information is required?
Fields, documents, metadata, request context, validation, and required attachments.
How is work routed?
Business logic, conditions, thresholds, ownership, delegation, and edge cases.
Who decides?
Approvers, escalation, timeouts, audit trail, notification, and exception handling.
What must be connected?
SharePoint, Dataverse, Teams, Outlook, Microsoft Graph, connectors, and business APIs.
What proves completion?
Records updated, documents created, notifications sent, reports generated, and failures logged.
Security, governance and ALM
The page outcome should not be a working demo with hidden risk. Production Power Platform work needs ownership, environment choices, connector strategy, monitoring, and lifecycle thinking.
Microsoft Entra ID, user context, connector identity, and ownership are part of the design.
SharePoint and Dataverse security boundaries should match the business data and user roles.
Connection references, approved connectors, and ownership reduce hidden production risk.
Protected credentials and privileged operations should not be exposed to clients.
Environment strategy, DLP considerations, lifecycle, monitoring, and support paths scale to solution criticality.
Solutions, environment variables, connection references, deployments, validation, and controlled releases where appropriate.
ALM lifecycle
A production app or flow needs a clear route from build to support, not direct edits in production.
Build in the right environment with owners and configuration separated.
Use solutions, environment variables, and connection references where appropriate.
Release with controlled permissions, target connections, and rollback awareness.
Monitor failures, ownership, support handoff, and planned improvement.
Quality gates
Project approach
Seven stages focused on business process, data, security, architecture, controlled release, and lifecycle.
Business process, users, outcomes, owners, and current pain.
Data, security, ownership, integrations, exceptions, and failure paths.
Choose native M365, Power Apps, Power Automate, Dataverse, SPFx, or API architecture.
Implement app, automation, data model, integration, and configuration.
Test functionality, permissions, errors, performance, and user acceptance.
Release with controlled packaging, environment readiness, and change communication.
Define ownership, monitoring, support, documentation, and lifecycle decisions.
Engagement output
Consulting engagements end with working solutions plus the documentation and guardrails to operate them.
Process, data, security, ownership, and integration findings for the requirement.
Development, test, and production boundaries, solution movement, and ownership.
Tables, relationships, and security-role design for the scenario.
Power Apps and Power Automate built with error handling and owner clarity.
Guidance for environments, connectors, DLP, ownership, security, and deployment.
Validation criteria and documentation for handoff.
Existing solutions
Not every engagement starts from scratch. Existing apps and flows can be reviewed for ownership, reliability, security, configuration, deployment, and maintainability.
Flows without clear business or technical ownership.
Automations dependent on individual accounts or unclear connector identity.
Environment-specific values embedded directly in apps or flows.
Production flows that fail silently or notify the wrong owner.
Changes made without controlled environments, validation, or deployment discipline.
Apps or flows that depend on unmanaged lists, columns, permissions, or document paths.
Evidence of expertise
These are technical resources and architecture references. They are not customer case studies, testimonials, or claimed client outcomes.
Sample deliverable
Illustrative review output covering environment strategy, connectors, ALM, ownership, governance gaps, risks, and next actions.
Example Power Platform review output, not a real customer engagement.
Architecture hub
Navigation across Power Apps, Power Automate, Dataverse, governance, and integration content.
Breadth of platform coverage without turning the service page into a tutorial.
Production pattern
How reliable flows handle run-after paths, logging, retry, notification, validation, and monitoring.
Production automation thinking beyond simple flow creation.
Architecture guide
How environments, metadata, data, security, APIs, business logic, and ALM fit together.
Dataverse as a business application architecture, not just storage.
ALM guide
How development, test, and production environments support safer Power Platform delivery.
Environment and deployment discipline.
Decision guide
How to decide between SharePoint and Dataverse based on data, security, ALM, and app requirements.
Requirement-first data architecture.
Governance guide
Environment strategy, managed deployment thinking, and supportable delivery for production solutions.
Governance and lifecycle depth.
Business use cases
These are common scenario categories, not claimed customer projects.
Forms, approvals, notifications, ownership, and status tracking.
SharePoint documents with metadata, automation, approvals, and lifecycle actions.
Task-focused business apps with controlled data entry and business logic.
Structured decisions with clear outcomes, evidence, exceptions, and traceability.
Legacy forms and workflows reviewed before being rebuilt or retired.
SharePoint, Teams, Outlook, and related services connected around a business process.
Qualification
This service is for organizations that need process understanding, architecture decisions, responsible implementation, and supportable Microsoft 365 outcomes.
Email, spreadsheets, copy-paste work, and manual handoffs dominate the workflow.
Users need a structured interface rather than another list or spreadsheet.
SharePoint, Teams, Outlook, or related services need reliable orchestration.
SharePoint lists are no longer enough for the application’s security, scale, or relationships.
InfoPath, Designer workflows, or manual SharePoint processes need decisions before rebuilding.
Ownership, governance, reliability, ALM, or maintainability needs improvement.
Scope boundaries
The discovery conversation defines what is included. These items are scoped separately when they apply to your environment.
Licenses stay with your Microsoft agreements. Requirements are identified, not resold.
Enterprise-wide CoE programs are separate scope.
Power BI at enterprise scale and Dynamics functional consulting are scoped separately when needed.
Major API programs and ERP integrations are estimated separately.
Ongoing operations continue under a support agreement when one is defined.
FAQ
Use Power Apps when the requirement fits a business app, form, or workflow interface. Use custom development when the user experience, integration, or platform boundary needs pro-code architecture.
SharePoint often fits document-centric and simpler list-centric processes. Dataverse should be considered for relational data, stronger security, auditing, ALM, and structured business applications.
Sometimes, but not automatically. First assess the current process, triggers, approvals, data, owners, dependencies, and whether the workflow is still required.
Yes, where supported connectors, APIs, identity, security, licensing, and governance fit the scenario. Sensitive credentials should be protected behind the right integration boundary.
Only when the requirements justify it. Dataverse is useful for structured business data, relationships, security, auditing, solutions, and enterprise ALM.
Yes. Reviews can look at ownership, connections, error handling, configuration, environment strategy, SharePoint dependencies, permissions, and deployment approach.
It depends on solution criticality, data sensitivity, makers, release process, connectors, and support model. Small solutions may need lighter governance than business-critical systems.
Start with a discovery conversation about the business process, current pain, data, users, security, integrations, and whether Power Platform is the right fit.
Requirement first. Platform second.
Start with the business requirement. We will determine whether the right path is native Microsoft 365, Power Apps, Power Automate, Dataverse, or custom engineering.