AI-DRIVEN CUSTOMER COMMUNICATION & SUPPORT SOLUTIONS
Tailored SOLUTIONS That PROPEL YOUR COMPANY FORWARD
Platform Setup & Installation
Configuring the infrastructure needed for the AI agent, including servers, cloud resources, and network setups. This ensures a robust environment for development, testing, and deployment.
Conversational Customer Profiling
Analysing real-time interactions to create detailed customer profiles, capturing preferences, behaviours, and needs as conversations unfold. This enables AI agents to deliver personalised responses, anticipate needs, and improve customer experience through tailored engagement.
Conversational Design
Crafting intuitive and engaging dialogue flows for seamless user interactions. This involves scripting responses, creating decision trees, and optimising user experiences in chat and voice interfaces.
LLM Modelling & Architecture Design
Designing and refining Large Language Models (LLMs) to ensure deep language understanding and generation. This includes selecting model architectures (e.g., transformers), tuning parameters, and training on diverse data to enhance comprehension and context retention
Third-party Platform and Software Integration
Setting up and connecting third-party platforms, like CRM and e-commerce systems, to enable seamless data flow and communication. This includes API or webhook configuration, plugin installations, and data syncing for optimised interoperability and efficiency.
Image Recognition & Synthesis
Integrating image recognition technologies for the AI agent to interpret and process visual information. This includes tasks like object detection, facial recognition, and image classification—crucial for applications that require understanding and interacting with visual data.
Natural Language Processing (NLP)
Developing NLP capabilities for the AI agent to interpret, understand, and respond to human language. Key tasks include tokenization, sentiment analysis, named entity recognition, and text summarization.
User Experience (UX) Design
Enhancing the usability and interaction flow to ensure intuitive engagement with the AI agent. This involves designing user-friendly interfaces and experiences that support seamless interactions.
Data Engineering & Processing
Collecting, cleaning, and structuring datasets necessary for training AI models. This includes data labeling, augmentation, and ensuring data quality to reduce biases and improve model accuracy.
Continuous Monitoring & Optimisation
Ongoing monitoring, evaluation, and improvement of the AI agent’s performance in real-world scenarios. This involves tracking KPIs, gathering user feedback, and making iterative updates for enhanced functionality.
Customised INDUSTRY Solutions
Hospitality
SAVE COSTS - INCREASE REVENUE
Business loses customers and potential revenue unwittingly due to ineffective customer communication methods and the inability to provide exceptional, 24/7 personalised support.
Unleash the power of AI in your business to drive better decisions, enhance customer experiences, and foster scalability and growth.
We Help DECREASE
- Repetition & Inefficiency
- Manual & Repetitive Tasks
- HR Cost & Resources
- Variation & Inconsistency
- Customer Frustration
- Human error
WE help INCREASE
- Customer Reach & Retention
- Bulk Lead Handling
- Customer Engagement & Experience
- Operational Productivity & Experience
- Process & Sales Conversion
- Reporting Visibility & Accuracy
Excel with AI-DRIVEN SOLUTIONS
Augment your existing sales teams and Processes
human
Agents
- Slow to respond, execute, or follow-up
- Human Errors & Mistakes
- Variation and Inconsistency
- Requires constant management
- Can only deal with one client at a time
- May include empathy and emotions
- Long one-way conversations
- Limited to working hours
- Back to slow email conversations
- Telephone based (Telemarketing)
vs
Ai-driven virtual assistantS
- AI – Based / Adaptive (Learns like a child)
- Learn from collected data overtime
- Multi-Functional Application
- Customer Focused
- Data driven (Customer Profiling)
- Machine Deep Learning (MDL)
- Natural Language Processing (NLP)
- Allow user to type responses freely
- Multi-Channel (Proffered User Interface)
- Chat-like Interface (Rich Media / Voice Commands (Buttons)
vs
traditional chatbots
- Scripted Chats
- Need human intervention & assistance
- Algorithm Based (Keywords)
- High % Fall-Backs
- Information Driven
- User can only input what chatbot allows
- “I don’t understand – talk to a human”
- Single-Channel (Website or WhatsApp)
- Conversational User Interface (Text)
- Operates by pre-programmed commands
OMNI CHANNEL
Reach your Customers on their preferred channel – from one single platform
Meet our PARTNERS & PLATFORMS
Reputable BrandS to leverage your business
Business Process Automation | AI Virtual Assistants | AI Chatbots | Marketing & Sales Automation