power-platform

AI-Powered Process Discovery Copilot

Built an AI-powered Process Discovery Copilot to identify sales bottlenecks, automate analysis, and deliver real-time process intelligence.

softreetechnology.com/case-studies
AI-Powered Process Discovery Copilot
0%
Process Visibility
0%
Faster Bottleneck Detection
0%
Reduced Manual Analysis

Client Profile

A mid-market enterprise in the IT services sector, operating across USA and managing a complex IT environment. The client partnered with Softree Technology to leverage AI-Powered Process Discovery Copilot for improved IT service management and operational efficiency.

Use Cases
Process Automation, AI Copilot, Process Mining
Industry
power-platform
Project Type
Power Platform
Scale of Operation
2,400+ plant users
End Users
2,400+ plant users
Service Provided
Power Platform Development
The Client Challenge

Business Process Challenges

  • Lack of visibility into the sales workflow.
  • Delays occurring after initial client contact.
  • Frequent proposal rework cycles causing inefficiencies.
  • No-response scenarios slowing down deal progression.
  • Manual process analysis that was time-consuming and error-prone.
  • No centralized process monitoring system.
  • Difficulty identifying bottlenecks and process deviations.
  • Limited insights into case duration trends and process performance metrics.
  • Absence of process intelligence for variant analysis and optimization.
Our Approach

Our Strategic Approach

The project followed a structured implementation approach to build an AI-powered Process Discovery Copilot for intelligent sales process analysis.

Phase 1: Data Preparation

  • Collected and organized sales process event data.
  • Structured data within Dataverse for analysis and reporting.
  • Ensured data quality and consistency for process mining.

Phase 2: Process Mining Setup

  • Configured Microsoft Process Mining.
  • Discovered and mapped end-to-end sales process flows.
  • Performed variant analysis to identify process deviations and bottlenecks.

Phase 3: AI Copilot Development

  • Built an intelligent Copilot using Copilot Studio.
  • Enabled conversational access to process insights.
  • Generated AI-driven recommendations for process optimization.

Phase 4: Workflow Automation

  • Implemented Power Automate flows.
  • Automated follow-up reminders, approvals, and escalation processes.
  • Reduced manual intervention in sales operations.

Phase 5: Analytics & Visualization

  • Developed interactive Power BI dashboards.
  • Visualized process maps, KPIs, bottlenecks, and case trends.
  • Enabled real-time monitoring with drill-down analytics.
Our Solution Architecture

How we delivered it.

PA
Power Apps
Integrated Power Apps layer in the solution architecture.
PA
Power Automate
Integrated Power Automate layer in the solution architecture.
D
Dataverse
Integrated Dataverse layer in the solution architecture.
MPM
Microsoft Process Mining
Integrated Microsoft Process Mining layer in the solution architecture.
PB
Power BI
Integrated Power BI layer in the solution architecture.
CS
Copilot Studio
Integrated Copilot Studio layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

Featured Screenshot
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The Outcome

What changed for the client.

The integrated solution combined Process Mining, Copilot Studio, Power Automate, Power BI, and Dataverse to deliver intelligent process discovery, bottleneck detection, automation recommendations, and real-time sales process visibility.

Results & Business Impact

The numbers behind the rollout.

01
Process Visibility
100%
02
Faster Bottleneck Detection
78%
03
Reduced Manual Analysis
60%
Reference Tech Stack

The full integration layer.

Power Apps
Power Automate
Dataverse
Microsoft Process Mining
Power BI
Copilot Studio
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

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