decision.ezee
Modernize Your Logic with the
100% No-Code Business Rules
Management System.Launch Products in Weeks.
A unified (BRMS) business rule management system that eliminates IT dependencies. Drag, drop, and deploy logic via an AI-driven business rules engine to launch loan products fast and error-free.
Days, Not Months
Rule Deployment Time
100% Auditability
Every Rule Tracked
Secure
ISO 27001 Certified
Built for Leaders Who Win
Executives who can’t afford another delayed launch
The Automation Imperative
Speed Defines Success
AI Amplifies Intelligence
Consistency Creates Trust
🏆 Enterprise AI Innovation Award 2023 🔒 SOC 2 Type II Certified
Why Enterprises Choose decision.ezee
Transform operations with intelligent rules automation
Zero-Code Platform
Real-Time Decisioning
Regulatory Agility
Visual Workflow Maker
Scalability & Security
Vendor Independence
The Cost of Manual Operations
What traditional processes cost your enterprise
- Current Challenges
IT Bottlenecks
Every business rule change requires IT development cycles.
Impact: 6-month delays for simple changes
Inconsistent Decisions
Manual processes create varying outcomes and errors.
Cost: 15-20% operational inefficiency
Scaling Limitations
Growth requires proportional workforce increases.
Challenge: Linear cost scaling
- Your decision.ezee Future
Business Autonomy
Teams manage their own rules without IT dependency.
Result: Same-day rule deployment
Intelligent Consistency
AI ensures optimal decisions every time.
Impact: 40% efficiency improvement
Unlimited Scale
Handle exponential growth without workforce increases.
Achievement: 10x processing capacity
Why Decisioning Feels Effortless with decision.ezee
Every capability solves a blocker you’re tired of facing.
Excel-Compatible
Empowers credit teams to update logic in familiar tools and sync seamlessly, cutting turnaround time.
Integrate Anything
No patchy middleware. Build decisioning on real-time, multi-source data.
JSON-Friendly, Credit-Ready
Seamlessly parse and route any complex credit application or KYC format from partner APIs or loan apps.
Formulas, Constants & Knockouts
Use no‑code formulas and dynamic variables to calculate custom ratios, thresholds, and disqualification rules.
Always-On Smart Logs
Enables audit trails, faster debugging, and intelligent refinements to credit strategy.
Multi-Tenant. One Platform.
Whether it’s regional compliance rules, department-level logic, or multi-brand governance—decision.ezee ensures every team works in its own secure space.
Workflow Engine for Rule-Based Triggers
Automates next steps post-decision—like KYC, rejection workflows, or routing to legal queues.
Rules-Based Access & Control
Aligns teams across management, compliance, and operations—without risk of overreach.
Real-world use cases that drive measurable results
Executives who can’t afford another delayed launch
Eligibility Checks for Procedures
Automate patient eligibility verification for medical procedures based on insurance, medical history, and treatment protocols.
Insurance Claim Decisioning
Streamline claim approvals with intelligent rule-based processing and fraud detection.
Treatment Plan Rule Validation
Ensure treatment plans comply with medical guidelines and insurance coverage requirements.
Dynamic Appointment Prioritization
Intelligent scheduling based on urgency, specialist availability, and patient conditions.
Health Risk Stratification
Automatically categorize patients by risk levels for preventive care and resource allocation.
Supplier Evaluation Logic
Automate vendor selection and performance evaluation based on quality, cost, and delivery metrics.
Production Scheduling Rules
Optimize manufacturing schedules based on demand, capacity, and resource availability.
Inventory Reorder Triggers
Smart inventory management with automated reorder points based on consumption patterns.
Safety Violation Rule Detection
Real-time monitoring and alerting for safety protocol violations and compliance issues.
Loyalty Program Rule Application
Dynamic loyalty rewards and tier management based on customer behavior and purchase history.
Dynamic Discount Rules
Real-time pricing adjustments based on inventory, demand, and competitive factors.
Return Eligibility Decisions
Automated return processing with intelligent fraud detection and policy enforcement.
Scholarship Eligibility Engine
Automate scholarship awards based on academic performance, financial need, and program criteria.
Admission Scoring Rules
Intelligent admission decisions based on academic records, test scores, and program requirements.
Fee Waiver Decisioning
Automated fee waiver approvals based on financial hardship and academic merit criteria.
Route Optimization Rules
Intelligent route planning based on traffic, delivery priorities, and vehicle capacity.
Load Prioritization Logic
Smart cargo prioritization based on urgency, destination, and customer importance.
Penalty Rule for Delays
Automated penalty calculations and dispute resolution for delivery delays.
Built for Your Growth
Scale without limits, implement without delays
True SaaS Model
No Costly Infrastructure
Rapid Onboarding
While You Deliberate, Competitors Accelerate
Automation isn’t a future investment—it’s today’s competitive necessity. Every manual process is a competitive disadvantage.
300x
Faster Deployment
95%
Less Decision Time
89%
Reduced IT Dependency
Trusted by 100+ Banks & NBFCs Across Segments
Financial institutions globally choose ezee.ai for its unparalleled security, compliance, and AI-driven automation capabilities.
14 out of 43 RRBs in India Run on ezee.ai
Your Complete Lending Technology Suite
Three powerful platforms that work together to transform how you
build, deploy, automate and manage lending products.
Launch Credit Products in Weeks, Not Quarters
Cut loan processing time by 70%
Boost STP rates by 50%
Optimize, Automate & Accelerate Lending Decision
Launch complex rules in minutes
Reduce decisioning time - 80% with AI
Turn Collections into Customer Conversations
Cut collection cycle times by 60%
Handle 10x more accounts
Real Implementations, Real Results
See how leading financial institutions launch credit products with unprecedented speed using ezee.ai
Lending Innovation, Explained Simply
Insights from the frontlines of digital lending transformation.
ezee.ai in Media
Ready to Leave Competition Behind?
See how decision.ezee revolutionizes your lending operations in a personalized demo.
Your Demo Includes:
- 5-minute rule deployment demo
- AI suggestions for your policies
- ROI calculator for transformation
- Custom implementation roadmap
Business Rules Management System FAQs
What is a business rules management system and how is it used in enterprise decisioning?
| Aspect | Hardcoded Rules | BRMS |
|---|---|---|
| Storage | Buried in app code | Central repository for non-technical updates |
| Updates for RBI changes | Requires code redeploys, risking delays | Live updates for faster TAT in loan approvals |
| Maintenance | Higher costs and errors | Reduced costs through separation |
How does a business rules management system differ from embedding rules directly in application code?
Unlike hardcoded rules buried in app code, a BRMS stores rules in a central repository that non-technical users can update without developers. Hardcoding demands code redeploys for RBI policy changes, risking delays; BRMS updates rules live for faster TAT in loan approvals. This separation cuts maintenance costs and errors.
What operational bottlenecks in financial services are typically addressed by a BRMS?
- BRMS tackles manual rule checks and IT dependency in high-volume decisions like credit scoring.
- It automates eligibility during online applications, reducing TAT from days to seconds.
- This curbs errors in collections workflows.
- Gartner notes up to 70% faster decision cycles in similar setups.
When should enterprises move from static rule execution to full decision orchestration?
Shift to full orchestration when rule volumes exceed 100 daily changes or compliance audits spike, as static execution falters under scale. In lending, this hits during peak disbursals needing real-time CIBIL pulls and risk adjustments. It delivers 15% CAGR in BRMS adoption for agility.
What criteria do enterprises use to evaluate business rules management platforms during vendor shortlisting?
Enterprises evaluate BRMS platforms when decision volumes, regulatory scrutiny, and rule complexity exceed manual control. Key criteria include rule governance, audit trails, API latency, and business user control; analysts report organizations prioritize platforms that support high STP without code dependency (Forrester).
How do risk and operations teams calculate ROI after deploying a business rules management system?
Teams measure ROI by avoided manual hours in underwriting and reduced compliance fines, tracking TAT drops and error rates pre/post-deploy. For instance, quantify savings from 5-second approvals versus hours manually. Risk ops weigh prevented losses against setup costs.
How are business rules governed, versioned, and audited across teams and environments?
Rules get governed via workflows tracking changes, who edited what, and approval logs across dev/staging/prod. Versioning uses visual diffs and comments for rollback; audits log every action for RBI reviews. This ensures traceability in loan rule updates.
What security, role-based access, and control requirements apply to BRMS in regulated industries?
BRMS demands role-based access, so operations views rules, but risk alone approves changes, plus encryption for CIBIL data. In BFSI, it enforces AML/KYC segregation and immutable audit trails. Compliance hinges on least-privilege controls.
How does a business rules management system integrate with loan origination, CRM, and data sources?
BRMS hooks via APIs to pull CRM borrower history, LOS application data, and credit bureaus for real-time scoring. During origination, it triggers rules on CKYC matches before disbursal. This unifies decisions without code rewrites.
How do organizations test performance and scalability of a BRMS under real-time decision loads?
Organisations simulate peak loads like 10,000 concurrent loan apps, monitoring response times under ramped users and data volumes. They define thresholds for throughput and CPU, using automation for passes. Continuous tests align with growth.