Operational Systems
I design and implement custom business operating layers. Every system is built resilient, verifiable, and documented to minimize maintenance overhead.
AI Customer Support System
Problem ContextSupport teams spend hours answering repetitive questions, leading to delayed response times and missed opportunities after-hours.
Proposed SolutionA self-correcting response engine integrated directly into your website chat or support channels, equipped with deterministic escalation filters.
Visitor submits query through frontend widget or chat API
API route sanitizes input and performs context verification
AI engine matches query against approved product context
Response synthesized with safety guardrails
Uncertain intents escalated to human support via CRM notification
WhatsApp Lead Automation System
Problem ContextLeads arriving from meta ads or outbound channels remain uncontacted for hours, reducing conversion likelihood by up to 80%.
Proposed SolutionInstant, automated WhatsApp acknowledgement pipeline that scores leads, validates contact credentials, and dispatches custom template followups.
Inbound lead event captured from Webhook (Facebook Ads, landing forms)
Zod schema validation sanitizes name, email, and phone number
Lead scoring node grades qualification level in real-time
WhatsApp Cloud API dispatches interactive template message
Slack/Telegram alert notifies sales team with lead summary
CRM & Operations Integration System
Problem ContextSales representatives waste time duplicating contact data across tools, spreadsheets, email lists, and bookkeeping tools.
Proposed SolutionA resilient, webhook-driven data router that synchronizes records across your stack with automated field mapping, retry loops, and failure alerts.
Webhook signals record update in source CRM
Normalizer maps custom fields to target schema
Deduplication check queries target system via API
Synchronized record written; audit log timestamped
Transient failures automatically retried with exponential backoff
Document Processing & AI Extraction System
Problem ContextOperations teams spend hours daily copying data from invoices, contracts, or application PDFs into database systems.
Proposed SolutionAn automated extraction pipeline that parses files, uses GPT models to structure data, and queues doubtful records for manual administrator review.
File uploaded or received via automated email webhook
File parser extracts text blocks or executes OCR scanning
GPT model extracts parameters based on predefined JSON schema
Confidence score calculated; failures routed to review queue
Verified data exported to production database system
Internal Approval Workflow System
Problem ContextPurchase requests, expense claims, or operational sign-offs get lost in email threads or chat channels without audit trials.
Proposed SolutionA central sign-off engine that manages request routes, dispatches action cards to Slack/WhatsApp, and logs decisions to a tamper-proof sheet.
Requester submits detail form on company intranet portal
Approval engine matches parameters against corporate matrix
Notification sent to approver containing dynamic accept/reject buttons
Approver registers choice; decision written to audit sheet
Requester notified; downstream execution triggered