Revino Solutions
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Automate Workflows. Reduce Costs 30–50%.

End-to-end BPM design, RPA and AI-powered workflow automation, KPI governance frameworks, and process dashboards. 30–50% operational cost reduction for BFSI, manufacturing, and services companies.

What We Deliver

Business Process Management is the foundation of operational excellence. Before you can automate a process, you have to understand it — its inputs, steps, decision points, exception paths, and failure modes. Before you can improve a process, you have to measure it — against a baseline, against targets, against industry benchmarks.

Revino's BPM practice starts with rigorous process discovery and documentation, moves to redesign using lean and Six Sigma principles, and implements the redesigned process using the right combination of RPA, AI automation, workflow platforms, and system integration — not just whichever automation tool is in fashion.

Core Capabilities

As-Is Process Discovery & Documentation (BPMN 2.0)
Process Mining from System Logs (ProM, Celonis methodology)
To-Be Process Design using Lean Six Sigma
RPA Implementation (UiPath, Automation Anywhere, Power Automate)
AI-Enhanced Decision Automation (replacing rule-based routing)
BPM Platform Deployment (Camunda, Pega, Appian, ServiceNow)
KPI Dashboard Design & Implementation
Change Management & Employee Training
KEY OUTCOMES
30–50% reduction in manual processing costs
60–80% faster cycle times on automated processes
Error rates reduced to near-zero on structured data processes
Full activity trail and compliance documentation

Our Delivery Framework

01
Process Discovery
Stakeholder interviews, process observation, system log mining, and As-Is documentation in BPMN 2.0 format with full exception mapping.
02
Analysis & Redesign
Root cause analysis of inefficiencies, lean redesign workshop, To-Be process design, ROI modelling for automation candidates.
03
Automation Build
RPA bot development, AI decision component build, workflow platform configuration, and integration with source systems.
04
Testing & Validation
Unit testing of RPA scripts, UAT with process owners, exception handling validation, and performance load testing.
05
Go-Live & Govern
Production deployment, exception monitoring dashboards, KPI tracking, and continuous improvement cycle.

Results Across Industries & Geographies

40%
Average cost reduction
Across BPM engagements
70%
Faster process cycle times
Post-automation average
99.2%
Accuracy on structured processes
RPA + AI combined
3mo
Typical payback period
ROI on BPM investment
100%
Review trail coverage
All automated steps
80%
Exception auto-resolution
With AI decision layer

The Revino Difference

Without Revino
With Revino
Process documentation
Undocumented, tribal knowledge
BPMN 2.0 documentation, version controlled
Automation approach
None or basic macros
RPA + AI + workflow platform
Decision making
Manual routing by staff
AI-enhanced automated routing
Monitoring
Excel tracking sheets
Real-time KPI dashboards
Compliance
Manual activity trail
Automated, immutable review log
Improvement cycle
Reactive, annual reviews
Continuous process mining analytics

Business Process Management: Complete Enterprise Guide

Business Process Management: The Enterprise Practitioner's Complete Guide

Business Process Management failures — and there are many — almost always share the same root causes. Understanding them is how Revino's BPM practice consistently delivers the 30–50% cost reductions our clients expect, while most BPM programmes deliver marginal improvement at high cost.

The Six Root Causes of BPM Programme Failure

1. Automating broken processes. The most common and most expensive BPM mistake. A 15-step manual process with 3 redundant approvals and 2 unnecessary handoffs is not improved by making it 15 automated steps with 3 automated approvals. Lean process redesign must precede automation — and redesign typically eliminates 30–40% of process steps entirely.

2. Technology selection before process understanding. Committing to UiPath, Pega, or ServiceNow before completing process discovery is backwards. The technology must serve the process requirements. Most expensive "failed BPM" projects are really expensive software licence projects — the platform was selected from a vendor demo rather than after rigorous process analysis.

3. Ignoring exception paths. The standard finding in process mining is that 80% of cases follow the happy path but 80% of cost comes from the 20% exception cases. Automation that handles the happy path and escalates all exceptions to manual handling still requires most of the original labour. Comprehensive exception mapping and AI-driven exception resolution is what separates transformative BPM from marginal cost improvement.

4. No change management. Employees whose jobs are automated do not automatically embrace the change. Without structured change management — clear communication, retraining on the skills that matter after automation, and visible leadership commitment — even technically excellent automation projects fail in adoption.

5. KPI definition after implementation. Process improvement cannot be measured without a baseline. Before any redesign begins, Revino establishes measurement frameworks: current cycle time, error rate, cost per transaction, and customer satisfaction. These baselines make ROI attribution unambiguous.

6. Point automation without end-to-end thinking. Automating one step in a 12-step process produces localised efficiency but rarely business impact. The process still has the same total cycle time because the automated step was not the bottleneck. Revino maps the complete end-to-end process to identify where automation generates system-level improvement.

The Revino BPM Delivery Framework

Stage 1: Process Discovery (Weeks 1–3) Stakeholder interviews, shadow observation of actual process execution (not the documented version, which is typically inaccurate), system log mining using process mining methodology, and complete As-Is documentation in BPMN 2.0 format.

Stage 2: Analysis (Weeks 3–4) Root cause analysis of inefficiencies using the five-whys and fishbone methodologies, quantified cost of each failure mode, identification of automation candidates by ROI, and priority ranking using effort-impact matrices.

Stage 3: To-Be Design (Weeks 4–6) Lean process redesign workshop with process owners, To-Be BPMN documentation, ROI model for each automation initiative, technology selection per automation type (RPA for structured data manipulation, AI for document processing and decisions, workflow platforms for orchestration).

Stage 4: Build and Test (Weeks 6–16) RPA bot development or workflow platform configuration in 2-week sprints with UAT after each sprint. Exception handling validation — every exception path tested with real historical data. Performance load testing at 2× expected peak volume.

Stage 5: Deploy and Govern (Week 16+) Production deployment, exception monitoring dashboards, KPI tracking against baseline, and monthly process mining reviews to identify new optimisation opportunities as volumes and patterns evolve.

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Realistic ROI projections with conservative assumptions
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