AI POC

Design Guide: AI Tools and AI Integration Services Platform

Practical AI solutions for smarter business operations. This demo focuses on measurable outcomes: faster customer responses, reduced repetitive work, improved lead capture, and stronger decision support.

POC Demo Preview

Snapshot of the AI tools and integration services experience designed for business stakeholders and pilot discussions.

AI tools and integration services demo preview

Direction 01

AI Tools

Reusable products like website assistants, feedback analyzers, lead capture workflows, and internal copilots.

Direction 02

Integration Services

Tailored implementation across websites, communication channels, business workflows, and operational systems.

Outcome

Revenue Model

Recurring product subscriptions combined with project-based integration revenue and managed support.

Mission

Help businesses work smarter, respond faster, and grow more efficiently by applying AI in practical, reliable, and business-focused ways.

Vision

Become a trusted provider of practical AI solutions through product modules, implementation services, and long-term operational support.

Problem Statement

Many businesses want AI but lack a clear starting point, internal expertise, and operational integration support. Generic tools often miss real business workflows. This platform closes that gap with focused, outcome-driven AI solutions.

In scope

  • AI-powered website assistant
  • Lead capture and qualification
  • Feedback collection and summarization
  • Booking request assistant
  • Knowledge-based business Q&A
  • Human handoff and escalation
  • Dashboard for leads, conversations, and insights
  • Integrations with email and webhooks
  • Configurable automation rules

Out of scope (initial phase)

  • Fully autonomous enterprise agents
  • Regulated medical or legal decision automation
  • Voice-first experience as primary channel
  • Deep ERP orchestration in phase one
  • Mobile apps as the first delivery channel

Target Users

Small and medium businesses, agencies, consultants, local service providers, and teams in support, operations, and sales that need AI without enterprise complexity.

Business Objectives

Drive recurring revenue, convert service projects into subscriptions, accelerate client acquisition with demos, and build a scalable SaaS foundation.

Core Modules

Organization setup
Knowledge management
AI chat and escalation
Lead management
Booking requests
Feedback and sentiment trends
Integrations and connectors
Automation rules
Reporting and activity logs

High-Level Architecture

High-level architecture diagram for the AI platform

1. Presentation: website widget, admin dashboard

2. API/Application: chat, leads, booking, admin operations

3. AI Orchestration: prompting, retrieval, safety, tool calls

4. Business Logic: notifications, reporting, rule execution

5. Data Layer: organizations, messages, leads, settings

6. External Services: AI provider, email, webhook, CRM

Recommended stack: Next.js + React + TypeScript on frontend, API routes or Node.js service layer, PostgreSQL/Supabase data layer, and Vercel deployment with analytics and error monitoring.

Implementation Roadmap

Phase 1: POC

Validate a complete but focused end-to-end flow.

  • Organization setup and knowledge input
  • Chat widget with grounded FAQ answers
  • Lead capture, booking request, and feedback submission

Phase 2: MVP

Make the product usable by real customers.

  • Admin dashboard and conversation history
  • Lead and knowledge management improvements
  • Email notifications, integrations, and activity logs

Phase 3: Production Platform

Scale reliably across multiple businesses.

  • Role-based access and stronger multi-tenant controls
  • Subscription billing and advanced integrations
  • Monitoring, analytics, and prompt/version operations

Initial API Surface

`POST /api/chat/start`, `POST /api/chat/message`, `POST /api/leads`, `POST /api/booking-request`, `POST /api/feedback`, `GET /api/admin/leads`, `GET /api/admin/conversations`, `POST /api/knowledge`.

Success Metrics

Measure chat engagement, lead capture, booking conversion, unresolved question rate, notification reliability, and service-to-subscription conversion.

Positioning

We build AI tools and AI integration services that help businesses solve problems, automate work, improve customer response, and grow faster.