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Microsoft Low-Code Platform

Microsoft Power Platform Services for the Enterprise

We architect, govern, and scale Microsoft Power Platform deployments that turn business users into value creators while keeping enterprise IT in control. From CoE Starter Kit rollouts and Dataverse data models to Power BI semantic layers and Power Virtual Agents, our consultants deliver production-grade low-code solutions at enterprise scale.

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500+
Enterprise Clients
10,000+
Engineers Deployed
50+
Countries Served
99.4%
CSAT Score
48h
Team Assembly

The Challenge

Ungoverned low-code adoption is creating shadow IT and technical debt at scale

Business units across your organization are already building Power Apps and Power Automate flows - often without IT visibility, DLP policies, or ALM controls. The result is a growing inventory of unmanaged solutions that break on Microsoft updates, expose sensitive data through unsanctioned connectors, and cannot be supported or audited. Without a governed platform strategy, the promise of low-code innovation collapses under the weight of maintenance debt and compliance risk.

73%
of enterprises report ungoverned Power Platform apps in production
4x
higher support cost for citizen-built apps without ALM governance
$2.4M
average annual cost of unmanaged automation technical debt
61%
of Power BI reports contain stale or undocumented data models

Why QuickHire

Why Enterprises Choose QuickHire

01

Governance-First Architecture

We implement CoE Starter Kit governance before scaling citizen development, establishing DLP policies, environment strategies, and approval workflows that prevent shadow IT from the outset. Every environment, maker, and solution is visible, auditable, and compliant from day one.

02

Deep Microsoft Ecosystem Expertise

Our consultants hold Microsoft Power Platform, Azure, and Dynamics 365 certifications and understand the full Microsoft cloud stack including Fabric, Purview, Entra ID, and Defender. This ecosystem depth enables integration architectures that leverage your existing Microsoft investments rather than duplicating them.

03

Enterprise Power BI Practice

We build semantic layers, composite models, and incremental refresh strategies that serve thousands of concurrent report consumers without performance degradation. Our Power BI architects design deployment pipelines and dataset certification processes that bring software engineering discipline to analytics.

04

Production-Grade ALM Pipelines

Every solution we deliver is version-controlled in Azure DevOps or GitHub and promoted through environments using automated build and release pipelines. Managed solution packaging, solution checker enforcement, and environment variable management ensure repeatable, auditable deployments.

05

Citizen Developer Enablement Programs

We design tiered maker communities with role-based training curricula, approved template libraries, and coaching programs that accelerate business-led innovation within governed guardrails. Your internal platform team leaves each engagement with the skills and playbooks to sustain the program independently.

06

Dataverse Data Modeling Excellence

Our data architects design normalized, performant Dataverse schemas that scale from dozens to millions of records while respecting API call limits and storage cost targets. We implement column-level security, business unit hierarchies, and Dataverse Link to Azure for advanced analytics workloads.

Challenges

Common Enterprise Pain Points

01

Environment Sprawl and Tenant Chaos

Organizations that enable self-service environment creation without policy controls accumulate hundreds of trial and developer environments containing business-critical data and processes. Without a structured environment strategy and automated hygiene scripts, tenant administrators lose visibility into what exists, who owns it, and what data it touches. The CoE Starter Kit provides the foundation, but it must be configured and actively managed to be effective.

02

Data Loss Prevention Policy Conflicts

As the connector catalog grows past 900 options, maintaining DLP policies that block risky connectors without breaking legitimate business scenarios becomes increasingly complex. Overly restrictive policies block productivity; overly permissive ones expose sensitive data through connectors that exfiltrate to consumer services. We design tiered connector groups and environment-specific DLP policies that balance security with usability.

03

Power BI Performance at Scale

DirectQuery models against operational databases frequently degrade as user counts grow, generating thousands of concurrent queries that strain source systems. Import mode datasets hit the 1 GB limit and require incremental refresh and composite model architectures to remain manageable. Poorly designed DAX measures create fan-out joins and context transition errors that are invisible in development but catastrophic in production.

04

Custom Connector Maintenance Burden

Custom connectors built against third-party APIs break silently when the upstream API changes its authentication scheme, endpoint URLs, or response schema. Without version-controlled connector definitions and automated regression tests, these breakages surface as user-facing errors and require emergency developer intervention. We establish connector lifecycle management practices that include change monitoring, automated testing, and versioned rollback.

05

License Cost Optimization Complexity

Power Platform licensing is multidimensional, spanning per-user and per-app plans for Power Apps, per-user and per-flow plans for Power Automate, Power BI Pro versus Premium Per User versus Premium capacity, and Dataverse storage add-ons. Organizations frequently overspend by assigning per-user licenses to light consumers who would be served by a shared capacity model, or underspend by avoiding Premium features that would reduce third-party tool costs. Our license optimization assessments identify reallocation opportunities that typically reduce annual spend by 20 to 40 percent.

Our Approach

A governed, scalable Power Platform foundation that delivers enterprise-grade automation, analytics, and intelligent applications

We deliver Power Platform engagements as a structured discipline - beginning with tenant governance and environment strategy, layering in solution delivery against prioritized business processes, and establishing the citizen developer communities and ALM practices that sustain long-term value. Our engagements combine Microsoft-certified architects with business analysts who translate process requirements into governed, production-ready solutions.

01
Platform Foundation and Governance
CoE Starter Kit deployment, environment strategy, DLP policies, and ALM pipeline setup that govern the entire tenant before scaling solution delivery.
02
Solution Delivery - Power Apps and Automate
Canvas and model-driven app development, complex Power Automate cloud and desktop flows, and custom connector engineering delivered through two-week sprints.
03
Analytics and Power BI
Dataverse Link and Synapse Link integration, semantic model design, Power BI Premium capacity management, and deployment pipeline setup for enterprise reporting.
04
AI and Copilot Studio
Power Virtual Agents and Copilot Studio bot design, generative AI grounding on organizational knowledge bases, and Teams and omnichannel deployment.

Delivery Models

How We Deliver

Rapid Foundation Sprint

Focused eight-week engagement to establish CoE governance, environment strategy, DLP policies, and ALM pipelines - the non-negotiable foundation for safe scale.

Timeline
8 weeks
Team Size
3-4 consultants
Solution Delivery Program

Ongoing sprint-based delivery of prioritized Power Apps, Power Automate, and Power BI solutions with embedded ALM, testing, and citizen developer coaching.

Timeline
12-24 weeks
Team Size
4-8 consultants
Managed Platform Service

Post-go-live tenant health monitoring, DLP policy maintenance, performance tuning, support desk, and quarterly roadmap alignment with a named platform architect.

Timeline
Ongoing
Team Size
2-3 engineers

Capabilities

Technical Capability Matrix

Power Apps
Canvas App DevelopmentModel-Driven App DesignPCF Custom ControlsPower Pages (Portals)Offline-Capable Mobile Apps
Power Automate
Cloud Flow AutomationDesktop RPA (Attended and Unattended)Approval Workflow DesignBusiness Process FlowsAI Builder Integration
Power BI and Fabric
Semantic Model DesignDAX and M Query EngineeringPower BI Premium Capacity ManagementMicrosoft Fabric LakehousePaginated Reports and SSRS Migration
Platform Governance
CoE Starter Kit DeploymentDLP Policy ArchitectureALM Pipeline ConfigurationDataverse Environment StrategyLicense Optimization Analysis

Engagement Models

How We Engage

Choose the model that fits your programme governance, budget cycle, and team structure.

01

Staff Augmentation

Engineers embed directly under your management.

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02

Dedicated Developers

Full-time team aligned to your product roadmap.

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03

Managed Teams

End-to-end delivery with SLA-backed outcomes.

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04

Engineering Pods

Autonomous cross-functional pods per domain.

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05

Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

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06

Build-Operate-Transfer

We build and run it. You take ownership on schedule.

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Our Process

From Discovery to Delivery

1

Discovery and Assessment

Days 1-5

We audit your existing tenant, inventory current apps and flows, assess governance gaps, and interview business stakeholders to prioritize the solution backlog.

2

Foundation and Governance Setup

Weeks 2-3

CoE Starter Kit deployment, environment and DLP policy configuration, ALM pipeline creation, and security role design are completed before any solution development begins.

3

Sprint Zero - Architecture and Design

Week 4

Dataverse data model design, integration architecture, Power BI semantic layer planning, and solution naming conventions are finalized with your technical stakeholders.

4

Iterative Solution Delivery

Weeks 5-16

Two-week sprints deliver prioritized solutions - apps, flows, reports, and bots - each passing through development, automated testing, peer review, and managed deployment to production.

5

Enablement and Handover

Ongoing

Citizen developer training, platform admin playbooks, runbook documentation, and managed service onboarding ensure your team can sustain and grow the platform independently.

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Security & Compliance

Enterprise-Grade Security by Default

✓ISO 27001 Certified✓SOC 2 Type II Ready✓GDPR Compliant✓DPDP Act Ready✓NDA on Day 1✓MSA Available✓IP Assignment Clauses✓Escrow Options

Governance

Programme Governance

✓

Solution Lifecycle Management

All Power Platform components are packaged as managed solutions, version-controlled in Git, and deployed through CI/CD pipelines - no direct production edits permitted.

✓

DLP Policy Tiers

Connector policies are organized into three tiers (blocked, non-business, and business) applied at tenant and environment levels, with a change management process for new connector approvals.

✓

Maker Access Controls

Environment access and connector permissions are granted through Entra ID security groups aligned to maker tiers, ensuring citizen developers cannot access production environments or unsanctioned data sources.

✓

CoE Monitoring and Hygiene

CoE dashboards surface unused apps, flows with errors, orphaned environments, and connector usage anomalies - triggering automated cleanup workflows and escalation to platform admins.

Team Structure

Your Enterprise Team

Our Power Platform teams combine Microsoft-certified solution architects with Dataverse data engineers, Power BI analytics engineers, UX designers experienced in canvas app interfaces, and business analysts who bridge process requirements and technical implementation. Each engagement is led by a Principal Architect who owns the governance strategy and provides continuity across all workstreams.

✓Power Platform Solution Architect
✓Dataverse Data Engineer
✓Power BI Analytics Engineer
✓Power Automate RPA Developer
✓Canvas and Model-Driven App Developer
✓Copilot Studio Conversation Designer
✓DevOps and ALM Engineer
✓Business Process Analyst

Project Lifecycle

From Kickoff to Production

01
1 week

Discovery

Tenant audit report, governance gap analysis, prioritized solution backlog, and stakeholder interview summary.

02
2-3 weeks

Foundation

CoE Starter Kit configured, environment strategy documented, DLP policies active, and ALM pipelines operational.

03
1-2 weeks

Design

Dataverse schema design, integration architecture diagrams, Power BI semantic layer design, and solution architecture document.

04
8-16 weeks

Build and Test

Production-deployed Power Apps, Power Automate flows, Power BI reports, and Copilot Studio bots delivered in two-week sprints.

05
Ongoing

Enablement and Operations

Training curriculum, admin playbooks, CoE health dashboards, and optional managed service SLA with named platform architect.

Case Studies

Enterprise Outcomes

Financial Services

A regional bank had 400-plus ungoverned Power Apps in production with no DLP policies or ALM controls.

We deployed CoE Starter Kit governance, retired 180 redundant apps, and migrated the remaining portfolio to managed solutions with full ALM pipelines within 12 weeks.

62%reduction in support incidents
Manufacturing

A discrete manufacturer was manually consolidating production data from 14 plant systems into Excel for weekly executive reporting.

We built a Dataverse-integrated Power BI semantic layer with Synapse Link, eliminating manual consolidation and delivering real-time plant performance dashboards.

18hreporting cycle eliminated per week
Healthcare

A hospital network needed to automate credentialing workflows across five facilities without compromising HIPAA compliance.

We delivered a model-driven Power App with Power Automate approval flows, Dataverse auditing, and CMK encryption that reduced credentialing cycle time by 70 percent.

70%faster credentialing cycle

Start Your Engagement

Ready to Build Your Enterprise Engineering Team?

Speak with a solution architect. We scope your engagement together. No sales pressure, no commitment required.

Hiring Models

One platform, two ways to hire

Not ready for a long-term commitment? QuickHire Instant lets you book a vetted engineer in 10 minutes - no contracts required.

Both models use the same vetted talent network · PM always included · Multi-country billing

Frequently Asked Questions

An enterprise Power Platform engagement covers strategic roadmap definition, governance framework design using the CoE Starter Kit, Dataverse environment architecture, and hands-on delivery of Power Apps, Power Automate flows, Power BI reports, and Power Virtual Agents. We conduct a thorough discovery of your existing Microsoft 365 and Dynamics 365 investments to identify automation and analytics opportunities. Deliverables include environment strategy documents, data loss prevention (DLP) policies, solution ALM pipelines, and trained citizen developer communities. Ongoing support, monitoring, and iterative enhancement are included in long-term managed service arrangements.
The CoE Starter Kit is a collection of components built on Power Platform itself that gives your IT and governance teams visibility into all environments, apps, flows, connectors, and makers across the tenant. We configure the Core, Governance, and Nurture modules to enforce compliance policies, trigger approval workflows for new connectors, and surface usage analytics to platform administrators. Custom DLP policies are layered on top to prevent unauthorized data exfiltration through unsanctioned connectors. The result is a governed, auditable platform that balances innovation speed with enterprise risk controls.
Canvas apps offer pixel-perfect UI control, allowing designers to place controls anywhere on a screen and connect to hundreds of data sources using formulas. They are best suited for task-specific, mobile-first scenarios such as field inspections, approval workflows, and customer-facing portals. Model-driven apps are built on top of Dataverse and derive their UI automatically from the underlying data model, making them ideal for complex, data-rich business processes like CRM pipelines, case management, and inventory tracking. Our architects evaluate your process complexity, data relationships, and user personas to recommend the appropriate app modality - or a hybrid approach when warranted.
We follow Microsoft's recommended environment strategy of dedicated environments for Development, Test, and Production, supplemented by personal developer sandboxes for citizen developers. Dataverse solutions are structured as managed solutions that are promoted through environments using Azure DevOps or GitHub Actions pipelines, ensuring traceability and rollback capability. Data policies are enforced at the environment level, and Dataverse security roles are modeled on your existing organizational hierarchy using business units and teams. We also configure Dataverse auditing, data retention policies, and integration with Azure Purview for data governance alignment.
Power Automate cloud flows handle API-based and event-driven automation scenarios extremely well, replacing many traditional BPM tool use cases at lower cost and maintenance overhead. Power Automate Desktop (attended and unattended RPA) can replace legacy RPA tooling for UI-based automation of legacy systems that lack modern APIs. We conduct a process assessment to classify each automation by complexity, exception rate, and integration requirements before recommending migration or coexistence strategies. For enterprises with significant investments in platforms like UiPath or Blue Prism, we design phased migration roadmaps that preserve existing automations while migrating new development to Power Automate.
Power Platform holds certifications including ISO 27001, SOC 1 and SOC 2 Type II, HIPAA BAA eligibility, FedRAMP Moderate, and GDPR compliance mechanisms. Customer-managed keys (CMK) are available for Dataverse environments where organizations require control over encryption keys. Power Platform environments can be locked to specific geographic regions to satisfy data residency requirements. We configure conditional access policies, Microsoft Purview Information Protection labels, and audit logging to ensure your Power Platform deployment meets the compliance posture required by your industry regulators.
Custom connectors allow Power Platform to integrate with any REST or SOAP API that is not covered by the 900-plus certified connectors in the Power Platform connector library. Our engineers build custom connectors from OpenAPI specifications or by manually defining triggers, actions, and authentication schemes, then certify them for use across your tenant. Enterprise scenarios include connecting to internal ERP systems, proprietary data platforms, industry-specific SaaS tools, and legacy on-premises applications via the on-premises data gateway. Custom connectors are version-controlled, documented, and published to a curated internal connector library so citizen developers can reuse them safely.
Citizen developer enablement means training business users to build their own Power Apps and Power Automate flows within governed guardrails, reducing IT backlog while increasing business agility. We establish a tiered maker community: explorers (use approved templates), builders (create canvas apps with restricted connectors), and pro makers (full Power Platform access with ALM requirements). Governance guardrails are enforced through DLP policies, environment-based access controls, and mandatory solution checker runs before promotion. A quarterly review cycle identifies high-impact citizen-built solutions for migration to IT-managed production environments with proper testing and documentation.
Power BI Pro requires every consumer of shared content to hold a per-user license, which becomes cost-prohibitive when sharing reports with hundreds or thousands of users. Power BI Premium provides dedicated capacity in the Microsoft cloud and allows unlimited read-only consumers within the organization without additional per-user licensing. Premium also unlocks advanced features including paginated reports, AI visuals, larger dataset sizes (up to 400 GB), incremental refresh, deployment pipelines, and XMLA endpoint access for third-party tools. We conduct a license optimization analysis to determine whether Premium Per User, Premium Per Capacity, or Fabric capacity is the most cost-effective path for your reporting distribution model.
Microsoft Fabric is an end-to-end analytics platform that unifies Power BI, Data Factory, Synapse Analytics, and real-time analytics under a single SaaS umbrella with a common OneLake storage layer. Power BI workspaces can be upgraded to Fabric-enabled workspaces, enabling direct integration with Lakehouse, Warehouse, and Dataflow Gen2 artifacts without data movement. For enterprises building modern data platforms, Fabric reduces the need to stitch together separate Azure services and lowers total cost of ownership. Our architects design Fabric architectures that align with your Power BI reporting requirements while setting the foundation for advanced machine learning and real-time analytics workloads.
We implement ALM for Power Platform using Microsoft-recommended solution packaging, where all components (apps, flows, tables, security roles, connection references) are encapsulated in managed solutions. Azure DevOps or GitHub Actions pipelines automate solution export from Development, version it in source control, and deploy it as a managed solution to Test and Production environments. Power Platform Build Tools provide the pipeline tasks needed for solution import, checker analysis, and environment variable configuration. This approach ensures that every production deployment is traceable to a pull request, reviewed by a peer, and reversible to a previous solution version if issues arise.
The most common pattern is native Dataverse integration, where Power Apps and Power Automate directly read and write Dynamics 365 data through the shared Dataverse layer without API calls or middleware. For Azure services, Power Automate HTTP actions or Azure API Management gateways are used to invoke Azure Functions, Service Bus, Logic Apps, or Event Grid endpoints. Bidirectional sync between Dataverse and Azure SQL or Azure Data Lake is achieved using Dataverse Link to Azure (formerly Export to Data Lake) or Azure Synapse Link for Dataverse. We design integration architectures that minimize latency, avoid API throttling limits, and maintain data consistency across systems.
A focused single-process automation or canvas app typically reaches production in four to eight weeks, including discovery, design, development, testing, and deployment. A broader platform foundation engagement - covering environment strategy, CoE setup, DLP policies, ALM pipelines, and an initial portfolio of five to ten solutions - generally spans twelve to sixteen weeks. Enterprise-wide digital transformation programs involving multiple business units, complex Dataverse data models, and large-scale Power BI semantic layer builds may extend to six to twelve months in phased delivery. We structure all engagements with two-week sprint cycles and production deployments at each sprint boundary to deliver value early and continuously.
Power Virtual Agents, now branded as Microsoft Copilot Studio, builds conversational AI bots that can be deployed to Microsoft Teams, websites, mobile apps, and third-party channels like WhatsApp or Twilio. Bots integrate with enterprise systems through Power Automate flows triggered from conversation topics, enabling lookups, record creation, and approval submissions against Dataverse, SharePoint, ServiceNow, SAP, and other back-end systems. Generative AI features in Copilot Studio allow bots to answer unstructured questions by grounding responses in your organization's SharePoint or Dataverse knowledge base. We design conversation architectures, escalation paths to human agents via Dynamics 365 Customer Service, and analytics dashboards to monitor bot containment rates and user satisfaction.
Our managed services include tenant health monitoring through CoE Starter Kit dashboards, monthly DLP policy reviews as new connectors emerge, performance tuning of Power BI datasets and Dataverse queries, and a dedicated support desk for citizen developer questions. We provide a quarterly platform review that assesses capacity consumption, license optimization opportunities, and readiness for new Microsoft feature releases. Security patching for custom connectors, solution version upgrades, and Power Platform service update testing in non-production environments are also included. Enterprises on our managed service plans receive a named platform architect who participates in quarterly business reviews to align the platform roadmap with evolving business priorities.
ROI measurement begins with process baseline documentation during discovery, capturing current cycle times, error rates, manual labor hours, and associated cost per transaction. After deployment, we instrument Power Automate flows and Power Apps with telemetry captured in Application Insights or Dataverse audit logs to measure actual throughput, error reduction, and user adoption. A standardized ROI model converts hours saved to fully loaded labor cost savings, adds revenue impact from accelerated processes (such as faster quote-to-cash cycles), and subtracts platform licensing and implementation costs. Typical enterprise customers report three to five times ROI within eighteen months, primarily driven by manual process elimination and faster access to decision-relevant data through Power BI.
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