Integrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly.
Your customers live in different channels — some respond to email, others check Slack or WhatsApp. Our AI Assistant integrates directly with your communication tools so you can send follow-ups, negotiate payment plans, and manage customer replies across multiple channels — all without switching platforms or copying message templates. It’s AR outreach made smarter, faster, and more human.
Because today’s communication isn’t one-size-fits-all.
Some customers ghost email. Others reply instantly to a WhatsApp ping. We designed the assistant to meet people where they already are — so you get faster replies, fewer excuses, and better relationships. And for your team, it means managing everything from one command center — not ten inboxes.
Multi-Channel Follow-Up Delivery:
Send reminders, updates, and payment plan offers through:
- Email (Gmail, Outlook)
- SMS (via Twilio)
- WhatsApp Business
- Slack (for internal alerts and approvals)
Channel Optimization Per Customer:
Learns where each customer responds most quickly and adapts future outreach accordingly.
Brand-Aligned Messaging:
Messages are personalized, tone-aligned, and include your logo, custom footer, and any legal text needed — no AI-sounding templates here.
Two-Way Messaging & AI Replies:
Customers can reply in any channel, and the assistant will:
- Draft a smart reply
- Route to the right team
- Log the response with timestamp and tone analysis
Connects to your preferred channels (Gmail, Outlook, Slack, WhatsApp, Twilio SMS)
Automatically selects the most effective channel per customer based on past behavior
Sends AI-personalized messages and reminders with your company branding and signature
Allows customers to reply directly — and the assistant handles or flags those responses
Syncs all communication history to your activity log and real-time AR reports
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
