Lead & SalesCRMTelegram
Lead routing and response upgrade
Lower risk of missed leads
Leads were arriving through forms and chat but follow-up timing was inconsistent.
Built lead intake workflow with validation, CRM sync, and Telegram notifications.
Lead response time
2-4 hours -> 10-20 minutes (-90%)
Lead loss risk
High -> Low (Major reduction)
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Unified lead intake mapValidation and dedupe logicCRM update flowTelegram alerts
View detailsSupportAIHuman-in-the-loop
AI-assisted support with approval
Faster draft cycle
Support inbox volume increased and drafting consumed too much team time.
Added AI draft generation with human approval checkpoints in Slack.
Draft preparation time
20-30 min -> 5-10 min (-60%)
Support queue pressure
High -> Moderate (Improved throughput)
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Inbox parsingAI drafting flowApproval routingFinal send logging
View detailsWebsiteConversionOperations
Website to CRM synchronization
Smoother lead pipeline
Website forms were not consistently connected to CRM and internal channels.
Redesigned form handling and connected submissions to CRM + team notifications.
Form to CRM sync speed
Manual / delayed -> Instant (Near real-time)
Operational workload
High manual effort -> Automated handoff (-50%+)
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Form UX cleanupSubmission validationCRM mappingNotification setup
View detailsCRMOperations
CRM sync control center
Trusted CRM reporting
Contact and deal records were inconsistent across CRM and operations tools.
Built bidirectional sync workflow with precedence rules, retries, and audit logs.
Sync error rate
14% -> 2.1% (-85%)
Weekly reconciliation time
9 hours -> 1.5 hours (-83%)
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Schema mapping blueprintConflict-resolution logicSync monitoring dashboardException queue
View detailsTelegramOperationsLead & Sales
Telegram real-time notification system
Faster incident response
Critical lead and SLA events were delayed because teams relied on email-only notifications.
Implemented Telegram event routing with severity logic and escalation automation.
Critical alert response time
18 min -> 2 min (-89%)
SLA breach frequency
High -> Low (Large reduction)
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Alert taxonomyMessage templatesEscalation flowAcknowledgment tracking
View detailsAIOperationsSupport
AI decision engine for workflow routing
Faster triage
Manual triage delayed high-priority requests and created inconsistent routing quality.
Built confidence-scored AI classification with deterministic fallback branches.
Triage time
12 min -> 2.5 min (-79%)
Routing accuracy
71% -> 92% (+21 pts)
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Intent model promptsConfidence gate logicManual review queueDecision logs
View detailsHuman-in-the-loopAISupport
Human-in-the-loop approval gate
Safer automation
AI-assisted actions needed compliance-safe approval controls before execution.
Added risk scoring, reviewer queues, and auditable approval checkpoints.
Risk incident rate
Moderate -> Very low (Major reduction)
Approval turnaround
45 min -> 11 min (-76%)
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Risk modelApproval queueEscalation timersImmutable approval logs
View detailsConversionLead & SalesWebsite
Conversion follow-up optimization
Higher booked-call rate
Lead capture was strong but follow-up inconsistency reduced booked-call conversion.
Implemented behavior-based multi-channel follow-up journeys with booking sync.
Lead-to-call conversion
8.4% -> 15.6% (+86%)
First follow-up speed
3 hours -> 4 minutes (-98%)
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Segmentation rulesFollow-up sequence engineBooking integrationAttribution tracking
View detailsOperationsCRM
Operations reporting dashboard automation
Faster decision cycles
Weekly KPI reports were manually assembled and too slow for operational decisions.
Built scheduled ETL workflow for KPI calculation, dashboard refresh, and anomaly alerts.
Reporting prep time
11 hours/week -> 2.8 hours/week (-75%)
KPI freshness
Weekly -> Daily / real-time alerts (Faster insight)
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Data connectorsKPI engineAutomated digestThreshold alerting
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