HomeProjectsVenueX AI: Multi-channel Sales Agent Engineering
VenueX AI: Multi-channel Sales Agent Engineering
Lead Engineer
- Client
- Client · VenueX AI
- Category
- Category · AI / SaaS
- Year
- Shipped · 2024
Lead engineering for VenueX AI — the AI sales platform built for wedding venues, event spaces, golf clubs, and caterers. The product positions itself as an always-on sales team that replies in seconds across email, SMS, and website chat, then qualifies leads and books tours on real calendar availability.
Platform capabilities I helped engineer include a unified knowledgebase (pricing, packages, policies), configurable guardrails for escalation and tone, Draft Mode for human-reviewed replies that retrain the agent, a Playground for pre-launch testing, lead management across channels, custom workflows and campaigns, and analytics on lead journey and conversion. White-glove onboarding — the kind of integration work described on my AI sales agent development page — connects lead sources, shared inboxes, calendars, and existing event-management tools.
Business problem
Venue sales teams need to handle inquiries, follow-ups and tour scheduling across multiple channels while continuing their on-site work.
My role and architecture
As Lead Engineer, my documented responsibilities include full-stack development, AI integration, LLM pipelines and system architecture. The delivered platform connects web, SMS and email conversations with lead qualification, scheduling, campaign workflows and unified history.
Constraints and safeguards
Responses need consistent knowledge and a route to human review. The platform includes a shared knowledgebase, configurable escalation and tone guardrails, Draft Mode and a pre-launch Playground. These are delivered controls; they are not a claim of perfect model accuracy or incident-free operation.
Relevant engineering services
Explore AI agent development, agent testing or a broader production readiness audit.
Planning a similar product?
Share your product stage, constraints and the next milestone. We can scope a build, code audit or focused remediation.
Discuss your projectExplore a code auditFocus areas on this build: full-stack development, AI integration, LLM pipeline engineering, system architecture.
What I built
- Architected AI agents that handle venue inquiries 24/7 via website chat, SMS, and email
- Built automated lead qualification and tour scheduling into a single conversation flow
- Integrated AI-powered follow-up workflows and campaign triggers based on lead behavior
- Engineered self-improving agent that retrains on team feedback
- Designed multi-channel lead tracking with unified conversation history
Outcome
Delivered multi-channel lead qualification, follow-up and tour-scheduling workflows with shared conversation history and human review controls.
This case study is part of the portfolio of Baqir Naqvi (Senior Full Stack Software Engineer), Full-Stack Software & AI Agent Engineer. For a similar AI / SaaS build—architecture review, MVP delivery, or production hardening—see the other indexed projects or start a conversation from the home page contact section.
- Next.js
- AI / LLM integrations
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