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Engage Bot is an AI powered bot and workflow automation engine tailored for modern businesses aiming to deliver exceptional customer experiences. With plug and play integrations across WhatsApp, website, and mobile, it automates tasks such appointment scheduling.
The platform supports multilingual NLP, predefined bot journeys, and agent handoff for high priority cases. Its no code flow builder enables rapid deployment of intelligent chat experiences. With full support for API integrations and real-time analytics, Engage Bot is trusted by sales teams, support centers, and government services to increase efficiency and satisfaction.
Whether for lead generation, service desk, or, Engage Bot offers scalable, personalized, and secure engagement.
Highlights
- - AI powered conversations via WhatsApp, Web, and Messenger - No code flow builder for quick bot setup and custom workflows - Built in lead capture, document collection. - Agent handover for complex or high touch queries - Native integration with , databases, APIs. - Multilingual support for regional and global reach - Real time dashboard with user analytics and bot performance - Trigger alerts, reminders, and campaigns via broadcast
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Delivery details
Engage Bot: Smart Customer Engagement & Workflow Automation
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
This version introduces the initial release of Engage Bot, an intelligent Conversational Automation Platform designed to enhance customer engagement across WhatsApp, web chat, and social media. Engage Bot features real-time workflow triggers, human handoff capabilities, and integration ready APIs to streamline sales, support, and onboarding processes.
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Usage instructions
1: AWS Account Setup Ensure you have an AWS account with permissions to deploy ECS/EKS services.
2: Oracle Database Setup Use Oracle XE as a containerized service. Visit: https://container-registry.oracle.com/ords/f?p=113:1:112386527061997:::1:P1_BUSINESS_AREA:3&cs=33aq0dNGinPzNGhdb8FqM1LcXwmuAn0-bhhY4ca8-yvL8Y3fY5FznJGAfLruW_Igntwx-lmvlMnTscnb5pi3plAÂ
3: Domain and SSL Setup Point your domain e.g. app.engagebot.works to the server IP. Use a valid SSL certificate:
- certificate.crt: Public certificate
- private.key: Private key
- ca_bundle.crt: Intermediate chain (recommended) You can use Lets Encrypt or a commercial CA.
4: Pull Docker Images command: docker pull <aws_account_id>.dkr.ecr.<region>.amazonaws.com/<image>:<tag>
5: EngageAI Service Setup a. Prepare directory: mkdir -p /home/EngageAI && cd /home/EngageAI b. Docker Compose: Create docker-compose.yaml and copy config from: https://workdrive.zohopublic.com.au/external/59f0031822fa6c22e3689033d5dd9824e67ce4ecc47c30bdc3d800b29f44fd80Â c. Environment Variables (environment_var.py): hf_token = "<Your Hugging Face token>" nvidia_key = "" openai_key = "<Your OpenAI token>" redis_pass = "<Redis Password>" redis_url = "redis://<Server IP>" redis_port = 6364 qdrant_url = "http://<Server IP>:6333/" qdrant_port = None Generate Hugging Face token: https://huggingface.co/settings/tokensÂ
6: Run EngageAI Containers docker-compose up -d docker-compose ps Ensure all three containers are running.
7: EngageMain Service Setup a. Prepare directories: mkdir -p /home/EngageMain/logs/backend mkdir -p /home/EngageMain/chatbot-backend/uploaded-docs mkdir -p /home/EngageMain/chatbot-backend/bbLicenseUtils mkdir -p /home/EngageMain/chatbot-backend/License mkdir -p /home/EngageMain/chatbot-backend/ai-uploads b. Docker Compose: Create docker-compose.yaml in /home/EngageMain, using this reference: https://workdrive.zohopublic.com.au/external/33911ee7eb1a3ea811ab3bfa3fe61f2fe721ea8b2a37107b641ac4cbbfe69a3e c. Start containers: docker-compose up -d docker-compose ps Verify all containers are running
8: NGINX Reverse Proxy Setup Refer the below sample for NGINX proxy configuration: https://workdrive.zohopublic.com.au/writer/open/074bwebd07011e5654aa3a28cec3b3540202f?authId=%7B%22linkId%22%3A%22wTDkNVxVTc-7E2cAV%22%7DÂ
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Ram Mote (ram@collabrix.works ), Rahul Jadhav (rahul@collabrix.works )
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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