power-platform

AI-Powered Process Discovery Copilot

AI-Powered Process Discovery Copilot

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

100%Process Visibility
78%Faster Bottleneck Detection
60%Reduced Manual Analysis
AI-Powered Process Discovery Copilot

Project overview

AI-Powered Process Discovery Copilot

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

Project type
Power Platform Implementation
Industry
power-platform
Region
USA
Duration
12 Weeks
Team size
6–8 Members
End users
500+ Employees

The Client Challenge

The client needed governed systems that could ship fast without losing control of data, permissions, or approvals.

AI-Powered Process Discovery Copilot — project context

Manual Processes

Plant teams relied on spreadsheets and email for production approvals, causing delays and inconsistent data across facilities.

Lack of Visibility

Leadership lacked a single source of truth for operational KPIs — ERP, MES, and quality data lived in disconnected silos.

Delayed Approvals

Multi-step sign-offs over email stretched cycle times and created compliance gaps during quarterly audits.

Solution overview

How we delivered

Power Platform operations dashboard

Power Apps

Integrated Power Apps layer in the enterprise architecture.

Power Automate

Integrated Power Automate layer in the enterprise architecture.

Dataverse

Integrated Dataverse layer in the enterprise architecture.

Microsoft Process Mining

Integrated Microsoft Process Mining layer in the enterprise architecture.

What we built

What We Delivered

Deliverable 01

The project followed a structured implementation

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

Deliverable 02

Collected and organized sales process event data

Collected and organized sales process event data.

Deliverable 03

Structured data within Dataverse for analysis an

Structured data within Dataverse for analysis and reporting.

Deliverable 04

Ensured data quality and consistency for process

Ensured data quality and consistency for process mining.

Deliverable 05

Configured Microsoft Process Mining.

Configured Microsoft Process Mining.

Deliverable 06

Discovered and mapped end-to-end sales process f

Discovered and mapped end-to-end sales process flows.

Results

Results & Business Impact

75%

Reduction in manual work

60%

Faster approvals

500+

Users adopted

99.9%

System availability

MetricBeforeAfter
Report generation3–5 days manualSame-day automated
Approval cycle48+ hours emailUnder 4 hours
Data accuracy~82% spreadsheet99%+ governed
App deployment6–9 months custom8–12 weeks low-code

Reference tech stack

Microsoft Power Platform ecosystem

Governed low-code components integrated with Azure — built for enterprise scale and plant-floor reliability.

Power Apps

Enterprise integration layer

Power Automate

Enterprise integration layer

Dataverse

Enterprise integration layer

MI

Microsoft Process Mining

Enterprise integration layer

Power BI

Enterprise integration layer

CO

Copilot Studio

Enterprise integration layer

"The AI-Powered Process Discovery Copilot gave us unprecedented visibility into our sales processes. We can now identify bottlenecks faster, analyze process variants with ease, and make data-driven decisions through interactive dashboards and AI-powered recommendations."

AI-Powered Process Discovery Copilot

FAQ

Frequently Asked Questions.

question 01

How long does a Power Platform manufacturing rollout typically take?

Question Answer:

Most plant-floor and operations rollouts ship in 8–12 weeks. We start with a scoped MVP on one line or facility, validate adoption with floor teams, then expand to additional plants with reusable Dataverse schemas and Power Automate templates.

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question 02

Can Power Platform integrate with our existing ERP and MES?

Question Answer:

Yes. We design a governed integration layer — Power Automate connectors, Azure API Management, and event-driven flows — so Power Apps read and write operational data without replacing ERP or MES investments.

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question 03

How do you measure success on manufacturing Power Platform projects?

Question Answer:

We track manual effort reduction, approval cycle time, user adoption across plants, system availability, and audit-readiness. This case study highlights 75% less manual work, 60% faster approvals, and 500+ employees on the platform.

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question 04

Is the solution scalable across multiple facilities and regions?

Question Answer:

The architecture uses a centralized Dataverse model with environment strategy, role-based access, and reusable app components. New plants inherit the same governed templates while localizing workflows where regulations or processes differ.

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question 05

Can Softree build a similar solution for our operations?

Question Answer:

Absolutely. We specialize in manufacturing Power Platform programs — from discovery and architecture through deployment and change management. Schedule a consultation and we will map a fixed-scope plan based on your plants, systems, and compliance requirements.

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Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

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What we offer

Enterprise Integration
Cloud Architecture
AI & Automation
Microsoft Solutions
Offshore Engineering

Offices

BengaluruSoftree Technology Pvt. Ltd.11th Floor, Prestige Tech Park, Platina 2Outer Ring Rd, KadubeesanahalliBengaluru, Karnataka 560087, India
CuttackSoftree Technology Pvt. Ltd.PLOT 5C/1283, SECTOR-10, CDACuttack, Odisha 753014India
San Francisco28 Geary St., Suite 650San Francisco, CA 94108United States

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