Pharma ingredients supplier
- Challenge
- Email-based PO approvals lagged 3–5 days with no audit trail.
- Simplileap solution
- Slack interactive approvals wired to SAP BAPI middleware.
- Outcome
- Approval-to-PO median 3.8 days → 11 hours.
// Automate
Business Workflow Automation in Bangalore
Business process automation for approval flows, document handling, multi-system orchestration, and task automation. We design workflows that handle failures gracefully, log every execution, and give stakeholders full visibility into their automated processes.
// Services
Workflow automation services
- Process mapping before any automation
- No-code platforms or custom workflow engines
- Idempotent, retry-safe execution
- Step-by-step execution observability
- SLA monitoring and alerting
Business Workflow Automation
End-to-end business process automation.
Task & Process Automation
Single-task automation, scheduling, data sync, notifications.
Approval & Notification Workflows
Multi-step approvals with stakeholder notifications.
Document & Data Automation
Automated document generation, parsing, and routing.
Integration-Based Automation
Multi-app orchestration with n8n, Make, or custom code.
// Standards
Workflow engineering standards
Idempotent by design
Workflows that can be safely retried without side effects, deduplication keys, at-least-once delivery handled gracefully with idempotency patterns.
Observable execution
Every workflow execution logged with step-by-step trace, input/output snapshots at each step, and searchable execution history for debugging.
Failure-resilient
Dead letter queues for failed executions, configurable retry strategies, circuit breakers for failing downstream services, and alerting on failure rates.
Maintainable architecture
Workflows as code where complexity demands it, version-controlled, testable, and deployable via CI/CD rather than point-and-click configuration drift.
SLA monitoring
End-to-end workflow duration tracking with SLA thresholds and stakeholder alerting when business-critical workflows exceed expected completion times.
Multi-system orchestration
Coordinate across CRMs, ERPs, databases, and communication tools without creating brittle point-to-point integrations between every pair of systems.
// Technology
Automation technology stack
No-code / Low-code
n8nMake (Integromat)ZapierWorkatoPower AutomatePipedream
Workflow Engines
TemporalPrefectApache AirflowDagsterInngestBullMQ
Backend
Node.jsPythonFastAPINestJSGoTypeScript
Queues & Events
RabbitMQApache KafkaAWS SQSGoogle Pub/SubRedis StreamsAzure Service Bus
Document Tools
DocxtemplaterPuppeteerpdf-libApache PDFBoxGotenbergCarbone
Monitoring
DatadogSentryGrafanaCloudWatchPagerDutyOpsGenie
// Process
From process map to monitored production workflow
01
Process Mapping
2–3 daysDocument the current workflow in detail, every step, decision point, actor, and exception path. Identify automation opportunities and boundaries where human judgement remains necessary.
// 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
Manufacturing distributor
- Challenge
- Salesforce and NetSuite duplicated customer records.
- Simplileap solution
- Event-driven sync with mapping table and DLQ replay.
- Outcome
- Reconciliation effort down 87%.
// 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 workflow automation
When should I use n8n/Make vs. custom code?+
No-code platforms work well for 3–10 step workflows with standard connectors and moderate volumes. Custom code (Temporal, Prefect, or simple Node.js workers) is better for high-volume workflows, complex error handling, custom business logic, or compliance requirements.
How do you handle workflow failures in production?+
Dead letter queues capture all failed workflow executions for manual inspection. Retry policies with exponential backoff handle transient failures. Alerting triggers on failure rate thresholds. Every failure is logged with complete context for fast diagnosis.
Can you automate multi-step approval processes?+
Yes, approval workflows with sequential or parallel approver steps, configurable deadlines, reminder notifications, escalation rules, delegation, and a complete audit trail. We typically implement these with n8n or a custom NestJS workflow engine.
What is the difference between a workflow and a simple script?+
Scripts are fire-and-forget with no state or retry logic. A workflow has persistent state, survives system restarts, handles failures gracefully, and provides visibility into every step. Temporal and Prefect provide durable execution guarantees that plain scripts cannot.
How do you ensure sensitive data is handled correctly in automated workflows?+
Input and output data at each step can be masked or excluded from execution logs. Data in transit is encrypted. Access to workflow execution history is role-controlled. We conduct data flow analysis as part of the design phase.