Business Process Automation
Cross-department workflow automation replacing email approvals and spreadsheet trackers.
System architecture
Modules and integrations delivered for this engagement.
Project Value
₹5L–₹15L
Timeline
8 weeks
Industry
Manufacturing
Team Size
5–8 engineers
Business Outcome
Efficiency
Support Period
12 months
Overview
Executive Summary
Workflow automation engine with maker-checker approvals, SLA alerts, document attachments, and integration hooks to ERP and HR systems.
Client Profile
Leading manufacturing organization
Cross-department workflow automation replacing email approvals and spreadsheet trackers.
- Size
- Mid-size enterprise
- Sector
- Manufacturing
Initial Situation
Where they started
Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
Before
- Email approval chains
- No SLA tracking
- Lost audit history
After
- Digital workflows
- SLA dashboards
- Full audit log export
Strategy
Challenges & Project Goals
What blocked progress before delivery — and what leadership signed off to achieve.
Key challenges
- Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
- Manual processes causing errors and delays
- No integration with accounting systems
Project goals
- Reduce manual work
- Improve data accuracy
- Enable real-time visibility
Discovery & Planning
How we planned the engagement
- 1On-site process mapping
- 2Stakeholder workshops
- 3Phased rollout plan
Solution Architecture
Technology architecture
Workflow automation engine with maker-checker approvals, SLA alerts, document attachments, and integration hooks to ERP and HR systems.
Process
End-to-end workflow
Capture
Data entry at source
Approve
Role-based workflows
Report
Live dashboards
UI/UX design process
- 1Role-based UX for operators and managers
- 2Mobile-first field interfaces
Development process
- 1Agile sprints with weekly demos
- 2Phased module delivery
Technical
Technology stack & deployment
Technology stack
Deployment strategy
- Pilot go-live
- Training program
- 30-day hypercare
Timeline
Project timeline
Phased delivery from discovery through rollout and hypercare.
Discovery
2 weeksProcess mapping and scope
Build
10–14 weeksCore modules and integrations
Go-live
2 weeksTraining and hypercare
Key milestones
Discovery complete
Signed-off scope
UAT
User acceptance on staging
Go-live
Production deployment
ROI
Results & ROI
Measurable business impact delivered within the agreed timeline.
Average approval cycle time cut in half
Timestamped approval history
Automated routing and reminders
HO admin team capacity recovered
Engagement summary
Delivery at a glance
Documented delivery parameters for a Leading manufacturing organization — documented in case study review.
Challenge
Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
- Manual processes causing errors and delays
- No integration with accounting systems
Solution
Workflow automation engine with maker-checker approvals, SLA alerts, document attachments, and integration hooks to ERP and HR systems.
Business outcome
50% Approval speed
Automated routing and reminders
Timeline
8 weeks
Support: 12 months
Team size
5–8 engineers
Technology stack
ROI indicator
50% — Faster approvals
Average approval cycle time cut in half
Client feedback
“Approval cycles halved once routing and reminders were automated—we finally have an audit trail.”
ROI highlight
50%
Faster approvals
Average approval cycle time cut in half
- Timeline
- 8 weeks
- Team
- 5–8 engineers
Insights
Lessons learned
- Shop-floor discovery is non-negotiable
- Phased rollout beats big-bang
Key results
50% Approval speed
Automated routing and reminders
15hrs Weekly time saved
HO admin team capacity recovered
ROI: 50% Faster approvals — Average approval cycle time cut in half
Implementation approach
How delivery was structured
Existing process
Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
Pain points
- Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
- Manual processes causing errors and delays
- No integration with accounting systems
Solution
Workflow automation engine with maker-checker approvals, SLA alerts, document attachments, and integration hooks to ERP and HR systems.
Timeline
8 weeks
Technology stack
React · Node.js · PostgreSQL · Redis
Strategic insights
Lessons for similar operators
- →Shop-floor discovery is non-negotiable
- →Phased rollout beats big-bang
“For manufacturing engagements like this, executive sponsorship and phased go-live matter as much as architecture — 8 weeks only works when change management keeps pace.”
Evidence-backed data
Statistics & benchmarks
Sourced from Maxwell research, reports, and documented client engagements — with publication dates.
Industry statistics
22%
Majority still rely on spreadsheets, Tally-only setups, or fragmented tools.
Source (2024-06-01): IDC India SMB Survey 2024
#1
Specialty chemical manufacturers in GIDC clusters.
Source (2026-03-01): Maxwell Electrodeal — Digital Transformation in Chemical Industry Report
Market trends
30%
Manufacturing teams re-keying dispatch, GRN, and production data into spreadsheets.
Source (2023-09-01): Deloitte India Operations Report 2023
$2.5B
Projected market size driven by SME digitization and GST compliance pressure.
Source (2024-11-01): NASSCOM 2024 SMB Tech Report
Benchmarks
8–12 mo
Mid-market manufacturers with custom ERP and Tally integration.
Source (2023-09-01): Deloitte India Operations Report 2023
6–9 mo
Barcode + ERP sync engagements in manufacturing SMEs.
Source (2026-01-15): Maxwell Electrodeal — Inventory Automation Case Study
Case study FAQs
- What was the main challenge for this manufacturing engagement?
- Purchase, leave, and capex approvals scattered across email with no audit trail or SLA tracking.
- What was the implementation timeline?
- 8 weeks — Discovery (2 weeks); Build (10–14 weeks); Go-live (2 weeks).
- What ROI or business outcomes were achieved?
- 50% Approval speed — Automated routing and reminders
- What technology stack was used?
- React, Node.js, PostgreSQL, Redis
Related resources
Resources & guides
Industries
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