Intelligent AI Bots Built for Real Business Workflows

We build customer support bots, lead qualification bots, appointment booking bots, internal knowledge bots, onboarding bots, feedback collection bots, e-commerce assistants and data collection bots. Each bot is custom-trained on your specific business data and workflows.

Yes — our bots integrate with CRMs like Salesforce and HubSpot, helpdesk tools like Zendesk and Intercom, calendars, payment systems, databases and virtually any platform with an API. Bots can also be deployed across website chat, WhatsApp, SMS, Slack and custom mobile apps.

Our bots are powered by the latest foundation models including GPT-4o, Gemini and Claude, trained on your specific company data. They understand context, handle multi-turn conversations naturally and know when to escalate to a human agent with full conversation context attached.

SupportIQ escalates complex cases to your human team with full conversation context intact — the agent sees everything the bot collected before taking over. It handles FAQ resolution, ticket routing and status updates autonomously, targeting a 70%+ first-contact resolution rate before any human involvement is required.

LeadQualify Pro engages website visitors, asks targeted qualifying questions and scores each lead from 0 to 100 using AI. High-scoring leads are booked directly into your calendar and synced to your CRM in real time — delivering meetings automatically without sales team intervention.

Yes — BookingBot operates across website chat, WhatsApp Business and SMS simultaneously. Customers can book, reschedule or cancel appointments through whichever channel they prefer, and automated reminders are sent before each appointment to reduce no-shows by 40%.

Yes — MedBilling Assistant is built on HIPAA-compliant infrastructure. It answers patient billing questions, checks insurance eligibility in real time, explains Explanations of Benefits in plain English and collects patient balance information securely, with support for English and Spanish.

DispatchBot monitors inbound dispatch requests, assigns the nearest available driver, sends status updates to customers and logs every action automatically in your dispatch management system — eliminating the manual coordination steps where human error typically occurs. It operates 24/7 with a sub-5-minute response SLA.

PropertyIQ engages real estate website visitors, qualifies buyer and seller intent through natural conversation and assigns an AI lead score from 0 to 100. Hot leads are routed to agents instantly with the full conversation context attached, so no qualified prospect goes cold before a human follows up.

DocExtract AI reads invoices, contracts, forms and records of any format. It extracts structured data, validates extracted values against your business rules and pushes results directly into your downstream systems — achieving 98%+ accuracy and processing documents roughly 10 times faster than manual data entry.

ReviewBot monitors Google, Yelp and other industry platforms continuously, alerting your team to negative reviews within under an hour. It drafts professional responses automatically for your approval before sending, and tracks your overall reputation score and sentiment trends over time.

Every bot is designed with defined escalation paths — when a query falls outside the bot's knowledge or confidence threshold, it transfers the conversation to a human agent with the full chat history attached, so the customer never has to repeat themselves. Edge cases and failure modes are tested thoroughly before deployment.

Most bots are customised and live within one to three weeks. The process covers three stages: defining conversation flows and integration architecture, building and training on your data, and deploying across your chosen channels — all agreed upfront before any code is written.

Yes, and ongoing improvement is built into the deployment model. After launch, bot performance is monitored against agreed metrics — resolution rate, response time, escalation rate, booking conversions — and the bot is refined based on real conversation data to improve accuracy over time.

Bots are built on the foundation model best suited to each use case — options include OpenAI GPT-4o, Google Gemini, Anthropic Claude and Meta Llama, implemented through LangChain and Python. The model selection is agreed during the design phase, not imposed as a fixed platform choice.

Bots are trained on your data and deployed on your infrastructure. Our policy is no third-party data sharing, no vendor lock-in and complete data ownership for the client — so your customer conversations and training data remain under your control.

Yes — BookingBot, for example, is explicitly built to operate across website chat, WhatsApp Business API and SMS (via Twilio) at the same time. Multi-channel deployment is part of the standard architecture, not an add-on, and channel scope is agreed during the design phase.

We agree on clear metrics before deployment — specific to each bot's function, such as resolution rate and response time for SupportIQ, no-show reduction for BookingBot, or lead score accuracy for LeadQualify Pro. Performance is tracked against those targets and reported on an ongoing basis.

Yes — our shopping assistant bots help customers find products, track orders, handle returns and upsell based on browsing behaviour and purchase history, all integrated with your store's existing order management systems.

Unlike scripted chatbots that follow fixed decision trees, our bots are trained on your specific data and powered by large language models that understand context and handle conversation variation naturally. They improve with real usage data, handle edge cases gracefully and are built for production reliability — not demo conditions.