Adiacent + Querlo AI: 1-6 Months End to End Service

We specialize in Chatbot and Digital Assistant development, integrated with enterprise and business intelligence platforms.

We have experience managing NLU, NLP and NLG solutions such as OpenAI and ChatGPT. Our partnerships with leading tech companies ensure we provide the latest technologies and tools.

The Project will be managed from start to finish from us, the process cycle will include:

1. Assessment, 1-2 weeks
2. proof of concepts, 2-6 weeks
3. implementation, 6-24 weeks
4. testing, 1-2weeks
5. publishing, 1-7days
6. analytics, ongoing
7. management. ongoing

By following the Grounded Approach, we ensure that the AI project remains aligned with the customer's needs, provides value, and drives tangible results.

We created over 19,000 conversational AI solutions and gathered over 7 million insights. We work with a diverse list of clients and applications.

• Cost variable: Each project has its specificities. When contacting us, we will be able to provide the specific cost about the solution implementation, based on the customer's requests.

• Deliverable: Adiacent-Querlo is able to release the indicated products and services, thanks to a team of certified resources.

• Outcomes: Thanks to the Microsoft Cloud, we are able to implement a high-performance, integrated and customer-tailored solution.

• Azure involvement: Our service uses a technological stach completely on Azure hosting. The AI ​​part uses the two services Microsoft Luis and AzureAI

• Router to address questions or conversations to various LLM engines. • Conversation flow builder for Deterministic, NLU, NLG, and NLP conversations. • Capability to serve images and videos. • Customized graphics layout • Escalate to human support when needed. • Redirect to other Chatbots for specialized queries. • Integration with any ERP and CRM platform. • User authentication and data security with secure handling of sensitive information. • Voice and Speech integration for voice-based interactions. • Advanced analytics and reporting to track user interactions, engagement, and performance metrics. • Integration with third-party APIs for accessing external services and data. • Integration with Avatars and Meta Humans • Multi-channel support: Deploy chatbots across various messaging channels for wider reach. • Multilingual support: Understand and respond to user queries in multiple languages. • Contextual awareness: Maintain context for natural and coherent conversations. • Personalization: Offer personalized responses based on user data and preferences. • Sentiment analysis: Gauge user emotions and tailor responses empathetically. • Proactive engagement: Initiate conversations based on triggers or events. • Natural Language Understanding (NLU) improvements: Continuously enhance NLU models for better understanding. • Emotion recognition: Understand user emotions from text or voice inputs. • Chatbot versioning and testing: Manage different chatbot versions and perform A/B testing for optimization. • Human-in-the-loop (HITL) integration: Seamlessly handover to human agents for complex queries. • GDPR compliance: Adhere to data protection and privacy regulations. • Continuous learning: Learn from user interactions and improve over time. • FAQ management: Easily manage and update frequently asked questions and answers. • Interactive media elements: Enhance with buttons, carousels, and quick replies for engaging interactions. • Emotional intelligence: Exhibit empathy and understanding in responses.