Listed logistics company
- Challenge
- 1,200 monthly vendor invoices processed by four FTEs manually.
- Simplileap solution
- UiPath bots with Document Understanding and SOX audit logs.
- Outcome
- Straight-through processing 38% → 81%; audit finding closed.
// Automate
Rule-Based Task Automation
Rule-based automation is the most reliable automation, deterministic, testable, and transparent. For tasks governed by clear business rules, rule-based automation delivers 100% consistency that human execution never can.
// Key benefits
What makes this service valuable
Deterministic execution
Rules execute the same way every time, no variability, no fatigue, no off-days. Every automation decision is documented and auditable.
Business rules engine
Complex conditional logic, eligibility checks, pricing rules, routing decisions, implemented in a rules engine that business stakeholders can understand and modify.
Audit and compliance ready
Every rule execution is logged with inputs, the rule applied, and the outcome, providing a complete audit trail for compliance and dispute resolution.
// Details
Automation that follows the rules exactly
Rule-based automation is appropriate when decisions can be fully specified: if X, then Y. Compliance checks, eligibility validation, pricing calculation, and document routing all fit this profile.
We implement rule engines (Drools, business rules APIs, or custom) with rules that business teams can understand and modify without engineering involvement.
// What this includes
- Business rules documentation and validation
- Rules engine selection and implementation
- Decision table management interface
- Rule execution logging and audit
- Exception routing for rule gaps
- Performance testing at volume
- Business stakeholder training
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our rule-based task automation service.
- 01Business rules documentation
- 02Rules engine implementation
- 03Decision management interface
- 04Execution audit log
- 05Exception handling
- 06Performance test results
// In practice
How rule-based task automation engagements run
Deterministic rules live in Drools, AWS EventBridge rules, or your app's policy engine — versioned and unit-tested like application code. Complex eligibility (discounts, compliance checks, routing) is readable by business analysts via decision tables, not buried in scripts. Audit logs capture rule version, inputs, and outcome for every automated decision.
// Stack & frameworks
Stack we use for this
AI & LLM
- OpenAI / Anthropic APIs
- LangChain pipelines
- RAG architectures
- Confidence thresholds
Integration
- Salesforce / HubSpot
- Zapier / Make
- Custom webhooks
- ERP connectors
Governance
- LangSmith observability
- PII handling
- Audit logs
- Rollback procedures
// Delivery
Simplileap execution framework
01
Architecture mapping
Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.
02
Secure sprints
Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.
03
QA & handover
Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.
// Proof
Real deployments from Bangalore
// Engagement models
How teams engage us
Currency
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Workflow automation | Ops teams | ₹3L – ₹10L |
|
| AI / LLM integration | Product teams | ₹4L – ₹12L |
|
| RPA implementation | Back-office | Scoped per process |
|
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
Common questions about rule-based task automation
When should I use rule-based vs AI-based decision automation?+
Rule-based for decisions that can be fully specified, compliance checks, eligibility, pricing. AI for decisions that are too complex or variable to specify fully, fraud detection, personalisation, demand forecasting.
Ready to get started with rule-based task automation?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.