Empowering Businesses Through
Agent as a Service

We help businesses embrace the future with cutting-edge digital solutions, enabling automation, efficiency, and growth. From AI-driven insights to seamless digital transformation, we provide the tools and expertise to keep you ahead in a rapidly evolving world.

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Automate post-visit patient engagement with AI-driven care recommendations

Detect and prevent vehicle issues early with AI-powered maintenance insights

Analyze customer feedback in real time using AI-driven sentiment detection

Uncover market trends and investment signals with AI-powered stock analysis

Integrate AI into your app ecosystem

Connect and automate your favorite tools with AI-powered workflows

Gmail

Slack

Airtable

Drive

Calendar

Jira

OpenAI

Deepseek

Anthropic

Discord

Instagram

Linkedin

X

Meta Ads

Zendesk

Sheets

Docs

Perplexity

Search

Outlook

Analytics

Notion

GitHub

Reddit

Healthcare

Automate patient data management and clinical decision support

HealthDesk AI

Patient Care AI Agent

Automotive

Automate vehicle diagnostics and manufacturing workflows

Automotive Sales Assistant

Predictive Maintenance AI Agent

Retail

Automate inventory management and customer behavior analysis

Personalised Recommendation AI Agent

Personalized Retargeting AI Agent

AI Customer Sentiment Analyzer

Logistics

Automate supply chain tracking and route optimization

Delivery Support AI Agent

Finance & Accounting

Automate financial processes and analysis

Automated Invoice Processing from Gmail to Google Sheets

Stock Analysis Agent for Trading Signals

AI Practice to deliver AI expertise and
AI-as-a-Service across Gateway Group

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An automated workflow that guides patients from initial contact to confirmed appointments by understanding intent, collecting intake details, checking availability, and managing bookings—reducing manual tasks and streamlining the entire scheduling process.

Step-by-Step Flow

User Initiation:
- Patient visits website or app
- AI Agent (Dialogflow) greets via chat or voice (WebRTC)
- Understands intent using LLMs (OpenAI, Cohere, Gemini, Ollama)
Patient Intake:
- Collect name, contact, preferred doctor, date/time, and visit type
- Use conversational forms (LangChain)
- Validate structured input with regex or schema (Pydantic)
Availability & Verification:
- Check doctor availability (Google Calendar API)
- Pull existing patient records
- Detect conflicts or overlapping appointments
Smart Action Execution:
- Booking: Confirm slot and schedule (Calendly API)
- Rescheduling: Show alternate slots using AI scheduler (x.ai)
- Info Requests:
  - Fetch clinic location (Google Maps API)
  - Show doctor hours and pricing
Confirmation & Notifications:
- Send confirmation (SendGrid Email)
- Share appointment details, directions, pre-visit instructions
- Optional: Add to patient calendar (Google Calendar)
Feedback Collection:
- Post-visit: Send feedback form (Tally.so)
- Store responses (Google Sheets)
- Analyze sentiment for quality improvement (Hugging Face)

Tools Used

Gemini 2.0

Firebase

Calendly

Twilio

An automated post-discharge workflow that engages patients with timely reminders, symptom check-ins, and educational content—escalating care when needed and syncing data with your EHR—reducing manual follow-ups and streamlining recovery management.

Step-by-Step Flow

Patient Discharge Trigger:
- The system is notified via EHR or hospital management software when a patient is discharged.
Initiate Follow-Up Sequence:
- AI agent sends a welcome-back message via SMS.
- Introduces itself as the follow-up assistant for post-discharge care.
Medication Reminder & Monitoring:
- Sends automated medication reminders based on discharge prescription schedule.
- Asks the patient to confirm when medication is taken (via chatbot or voice).
Symptom Tracking:
- Daily check-ins (chat or IVR call) with questions like:
  - Are you feeling pain?
  - Any unusual symptoms (nausea, fever, etc.)?
  - Are you able to eat, walk, and sleep normally?
Intelligent Escalation:
- If patient reports concerning symptoms or no response after multiple attempts:
- Escalates to assigned nurse or care team.
- Generates a ticket or alert with patient data and conversation log.
Patient Education:
- Shares educational content:
  - Post-op care guides
  - Nutrition tips
  - Recovery milestones
Follow-Up Appointment Booking:
- Offers to schedule follow-up visits with doctor or therapist.
- Integrates with clinic calendar APIs (e.g., Google Calendar, EHR scheduler).
Feedback Collection:
- After 7 or 14 days, asks the patient for a short survey:
  - Was the care satisfactory?
  - Any improvement since discharge?
Data Sync & Reporting:
- Updates hospital CRM or EHR with:
  - Medication adherence logs
  - Symptom trends
  - Escalation history
  - Patient feedback

Tools Used

Google Sheets

Google Calendar

Gemini 2.0 Flash Model

Tableau

The automation reads a Product Requirements Document (PRD) from Google Docs, uses AI to analyze its content, and automatically creates a complete Jira project structure with epics and tasks in just two clicks.

Step-by-Step Flow

User Entry & Greeting:
- User lands on dealership website or opens mobile app.
- Automotive Sales Agent pops up (chat widget or voice assistant) with a personalized greeting.
- Uses NLP to detect intent (e.g., “I’m looking for a new SUV” or “I want to trade my old car”).
Preference Discovery:
- Agent engages in a quick Q&A to gather:
  - Desired car type (e.g., sedan, SUV, EV)
  - Budget range
  - New or pre-owned
  - Brand/model preferences
  - Trade-in option (if applicable)
Intelligent Recommendation:
- Based on inputs, VroomBot:
- Filters inventory in real-time using dealership CMS/API
- Presents 2–3 ideal vehicle matches with:
  - Images, specs, pricing, comparisons
  - Feature highlights or differences between trims
Trade-In Evaluation (if applicable):
- Asks details about user’s current car:
  - Make, model, year, condition, mileage
- Pulls market data or links to tools like Kelley Blue Book or in-house valuation system
- Gives estimated trade-in value with option to schedule physical inspection
Test Drive Scheduling:
- Asks user if they want to:
  - Book a test drive
  - Schedule a video walkaround
- Syncs with dealership CRM or calendar API to offer available slots
Financing & Offers:
- Answers user queries about:
  - EMI, lease vs buy, special offers, down payment
- Pulls pre-qualification or financing info if user is interested
- Can connect to human finance team for complex cases
Lead Capture & Handoff:
- Captures contact info (if not already done)
- Logs all interactions
- Routes lead to appropriate salesperson or department (e.g., trade-in, finance)
- Option to continue the conversation via WhatsApp, SMS, or email
Post-Interaction Follow-Up:
- Sends a summary email/text:
  - Vehicle suggestions
  - Trade-in quote (if given)
  - Test drive confirmation
- Option to schedule future reminders or follow-ups via CRM integration
Feedback & Improvement:
- Prompts user for quick feedback on the experience
- Logs feedback and interactions to continuously improve recommendations

Tools Used

OpenAI

MongoDB

Calendly

Google Sheets

An intelligent maintenance workflow that automates everything from ingesting vehicle data to predicting service needs, sending smart reminders, and booking appointments—minimizing manual effort and keeping vehicles road-ready with precision and ease.

Step-by-Step Flow

Data Ingestion:
- Connects to:
  - Past service records from dealership CRM or third-party garages
Profile Creation:
- Builds a maintenance history profile for each vehicle:
  - Last oil change, tire rotation, brake service, battery change, etc.
  - Vehicle make, model, mileage, and usage pattern
Predictive Analysis:
- Uses AI/ML to:
  - Predict wear patterns based on driving behavior
  - Identify upcoming service needs (e.g., “Brake pads likely due in 2 weeks”)
  - Estimate dates for next maintenance milestones
Smart Notifications:
- Notifies user via:
  - App push notification
  - SMS or email
  - In-car infotainment screen (if integrated)
- Message includes:
  - Service type needed
  - Suggested date
  - Nearest available service center or dealership
Booking Assistance:
- Offers to schedule a service appointment
- Syncs with:
  - Dealership workshop calendar
  - Preferred garage system
- Can pre-fill user info and vehicle data
Feedback Loop:
- After service, system:
  - Updates records with new data
  - Refines prediction models over time
  - Asks user for quick feedback or confirms completion

Tools Used

Gum Loop (No-code automation platform)

Jira

Google Calendar

Slack

An AI-driven shopping assistant that automates the entire customer journey—from intent detection and personalized product suggestions to real-time Q&A, checkout help, and post-purchase support—creating a seamless, intelligent retail experience that learns and improves with every interaction.

Step-by-Step Flow

User Entry & Greeting:
- User enters the website/app.
- AI agent greets the user via chatbot popup or voice interface.
- Offers help:
  - “Looking for something specific today?”
  - “Can I help you pick a product?”
Intent Detection & User Profiling:
- Uses Natural Language Processing (NLP) to understand user queries.
- Recognizes intent:
  - “Looking for a blue dress under $100”
  - “Need a chair for my small apartment”
- Pulls user data (if logged in):
  - Past purchases, wishlists, size preferences
  - Browsing history or similar user segments
Personalized Recommendations:
- Filters product database using:
  - User intent (category, budget, style)
  - Behavior patterns
  - Trends or seasonal items
- Shows 2–3 personalized product options with:
  - Images, price, ratings, available sizes/colors
  - Estimated delivery time
Product Q&A / Deep Dive:
- AI answers questions in real time, like:
  - “Does this fit true to size?”
  - “Is it machine washable?”
  - “Are there matching accessories?”
- Cross-sells or upsells intelligently:
  - “Others bought this with…”
  - “Try this in a bundle.”
Cart & Checkout Assistance:
- Offers to add selected product to cart
- Applies eligible promo codes or loyalty offers
- Assists with:
  - Size or color confirmation
  - Shipping options
  - Gift wrapping or split payments (if applicable)
Post-Purchase Support:
- After purchase:
  - Confirms order summary
  - Sends tracking link
  - Offers styling tips (e.g., “How to wear your new jacket”)
  - Invites user to opt into return reminders or size adjustment feedback
Feedback & Continuous Learning:
- Collects feedback:
  - “Was this recommendation helpful?”
  - “Rate your experience”
- Logs data to improve future personalization for that user and others like them

Tools Used

Zendesk

Gemini

Salesforce

RAG application

An automated re-engagement workflow that tracks user behavior, detects abandonment, and delivers personalized content across channels—optimizing timing, messaging, and offers to boost conversions and reduce churn with minimal manual effort.

Step-by-Step Flow

User Visit & Behavior Tracking:
- AI agent monitors user interactions on the website/app:
- Pages viewed
- Products added to cart or wishlisted
- Time spent on product pages
- Exit point (e.g., left at checkout)
Data Collection & User Profiling:
- Captures user data via:
  - Cookies, device ID, session info
  - Logged-in user data (email, preferences)
- Builds or updates a behavioral profile for each user
Abandonment Detection:
- AI identifies abandonment scenarios:
  - Cart abandonment
  - Wishlist with no purchase
  - Browsed but didn’t add to cart
- Triggers a retargeting flow when thresholds are met (e.g., inactivity for 1–2 hours)
Dynamic Content Generation:
- Creates personalized emails, push notifications, or ads, featuring:
  - Abandoned items with images, pricing
  - Similar or complementary products
  - Limited-time offers, discounts, or restock alerts
Channel Selection & Delivery:
- Selects best communication channel:
  - Email
  - SMS
  - Push notification
  - Social ad (e.g., Facebook, Instagram, Google Display Network)
- Sends message at optimal time based on user behavior (AI-driven timing)
Re-Engagement & Conversion:
- User clicks through to return to:
  - Abandoned cart
  - Personalized landing page
  - A/B tested product offer
- AI assists with checkout or answers queries via embedded chatbot (optional)
Response Tracking & Optimization:
- Tracks:
  - Open rate, click-through rate
  - Conversions, bounce rate
- AI adjusts:
  - Message tone, product suggestions
  - Discount levels
  - Sending time/frequency based on what worked

Tools Used

Instagram Ads

Google Tag Manager

OpenAI

Google Sheets

Zapier

An automated feedback analysis system that collects data from reviews, social media, and customer interactions—analyzing sentiment, detecting trends, and generating alerts for emerging issues—streamlining customer experience management and continuously improving insights.

Step-by-Step Flow

Data Collection:
- The AI agent collects feedback from multiple sources:
  - Product reviews (on-site and external platforms)
  - Social media comments, tags, and mentions
  - Customer surveys and NPS forms
  - Chat transcripts and email interactions
Sentiment Analysis:
- Uses large language models (LLMs) to:
  - Determine sentiment polarity (positive, negative, neutral)
  - Assign confidence scores to sentiment detection
  - Detect tone and emotion (e.g., angry, disappointed, thrilled)
Topic Extraction:
- Identifies key themes or product categories:
  - “Delivery delay,” “product quality,” “customer service”
- Tags each feedback entry with topics and subtopics
Trend Detection:
- Analyzes volume and changes over time:
  - Detects spikes in negative sentiment
  - Monitors keywords or hashtags gaining traction
  - Maps sentiment by region, product, or channel
Alert Generation:
- If sentiment drops or a complaint trend emerges:
  - AI generates an alert or report
  - Flags the issue to Customer Experience (CX), Product, or Marketing teams
  - Recommends actions (e.g., increase support coverage, review packaging)
Dashboard Visualization:
- Presents insights in a CX dashboard:
  - Sentiment trends over time
  - Positive/negative sentiment by product or category
  - Top complaints and praise areas
  - Social sentiment heatmaps

Tools Used

Google Sheets

Tableau

OpenAI

MongoDB

An AI-driven logistics support assistant that engages customers across chat platforms, detects intent like tracking, delays, or lost packages, and fetches real-time shipment data—resolving queries instantly or escalating complex logistics issues to human agents, while learning continuously to streamline post-purchase delivery experiences.

Step-by-Step Flow

User Initiation:
- Customer initiates contact through:
  - Website chatbot
  - Mobile app assistant
  - Messaging platforms (e.g., WhatsApp, Facebook Messenger)
- Greets user in their preferred language (auto-detected or selected)
Intent Recognition:
- Uses Natural Language Processing (NLP) to understand the query:
  - “Where’s my package?”
  - “I want to return an item”
  - “My order was damaged”
- Classifies the intent: Tracking, Return, Damage Claim, Delay, etc.
Identity Verification (if needed):
- If the query involves personal order details:
  - Requests user to confirm identity (e.g., order ID, phone/email, OTP)
  - Authenticates user via CRM or order management system
Real-Time Shipment Data Lookup:
- Connects to Order Management System (OMS) or Shipping Database
- Retrieves shipment info:
  - Current status (in transit, delivered, delayed)
  - Expected delivery date
  - Last known scan/location
- Responds with contextual updates like:
  - “Your order is out for delivery today with XYZ Logistics.”
  - “Your package is delayed due to weather in Dallas.”
Query Resolution (Automated):
- Depending on the request type:
  - Tracking: Provides live status and tracking link
  - Returns: Shares return policy and offers to generate return label
  - Delay: Apologizes, shares expected timeline, and logs case if needed
  - Replacement/Refund: Offers standard options, if policy allows
Escalation (if needed):
- If the issue involves:
  - Damaged product with image upload
  - Lost shipment beyond grace period
  - Highly dissatisfied customer
- The AI agent escalates the case to a human support agent
- Passes along the conversation history, order details, and customer profile for context
Post-Interaction Follow-Up:
- Sends confirmation of the support action taken (e.g., return request logged, refund initiated)
- Offers to:
  - Continue tracking updates
  - Get human follow-up
  - Submit feedback
Feedback & Learning:
- Prompts user for a quick rating or thumbs up/down
- Logs:
  - Satisfaction score
  - Resolution time
  - Whether escalation was needed

Tools Used

FedEX

Google Maps API

TypeScript

Ask AI Node

Custom Interface Builder

An automated system that monitors Gmail for incoming invoices (both PDFs and images), extracts key details like amount, vendor, date, and automatically organizes them into Google Sheets without coding, creating a self-updating accounting tool.

Step-by-Step Flow

Email Monitoring & Trigger
- System monitors Gmail inbox continuously
- Triggers automation when:
  - New email received with an invoice (PDF/CSV/attachment)
  - Email matches criteria (subject line, sender, keywords like "invoice")
Attachment Extraction
- Downloads the invoice file from the email
- Supports:
  - PDF, CSV, or inline HTML invoices
- Renames and stores a copy in Google Drive (optional)
Data Extraction with OCR/NLP
- Uses OCR (if PDF/image) or parses text (CSV/HTML)
- Extracts key invoice fields:
  - Vendor name
  - Invoice number
  - Invoice date
  - Total amount
  - Line items (optional, if needed)
- Validates fields for accuracy (e.g., numeric format, valid date)
Data Mapping & Cleanup
- Maps extracted fields to predefined columns in Google Sheets
- Standardizes formats (e.g., currency symbols, date formats)
- Flags missing or suspicious values for manual review (optional)
Google Sheets Entry
- Opens target Google Sheet
- Appends new row with invoice data
- Includes:
  - Timestamp of processing
  - Email subject or reference link (optional)
- Can update an "Invoice Log" or dashboard summary
Notification & Logging
- Sends confirmation (email or Slack message):
  - “Invoice from [Vendor] processed successfully”
- Error alert if parsing fails or validation fails
- Logs all processed invoices with status (Success/Failed) in a separate tab or log file

Tools Used

Gmail

Google Sheets

GPT-4 Vision

PDF OCR Reader

An automation that analyzes stock symbols by extracting company information, stock pricing data, income statements, and balance sheets to generate comprehensive trading reports and signals using AI.

Step-by-Step Flow

User Input & Initialization
- User enters:
  - Stock ticker symbol (e.g., AAPL, TSLA)
  - Date range for analysis (e.g., Jan 2020 – Jan 2024)
- System:
  - Validates input format
  - Uses AI to reformat or standardize dates if needed
Data Retrieval
- Company Metadata Fetched:
  - Industry, number of employees, market cap, exchange, etc.
- Historical Stock Pricing Data Pulled:
  - Daily closing price, volume, high/low
- Financial Reports Pulled:
  - Income statements (past 10 years)
  - Balance sheets (past 10 years)
Data Transformation
- Converts raw JSON data into text-based summaries or formatted input for the language model
- Cleans and structures the data into:
  - Narrative-style descriptions
  - AI-readable bullet points or formatted tables
- Flags missing data points (if any)
Financial Analysis via AI
- AI analyzes stock price data:
  - Detects trends, volatility, momentum indicators
- AI analyzes income statements:
  - Evaluates revenue growth, profitability, margins
- AI analyzes balance sheets:
  - Assesses debt, liquidity, equity health
Report Generation
- Combines all AI analysis sections into a comprehensive narrative
- Structures report into:
  - Executive Summary
  - Fundamental Analysis
  - Technical Analysis
  - Financial Ratios
  - Risk Factors
- Includes visual highlights (optional): graphs or summaries
Trading Signal Output
- Based on analysis, AI generates final insights:
  - Buy / Hold / Sell signal
  - Rationale behind the recommendation
  - Confidence score or uncertainty range
- Displays report in interface and provides:
  - Downloadable PDF
  - Option to email/share

Tools Used

ChatGPT

DocuSign