AI put to good use.
Leveraging Azure AI Services, Azure Cognitive Services, and Azure OpenAI Services to provide the best solutions for your organization to stay competitive in the new AI-dominated world of technology.
NITRO Copilot
NITRO Copilots use AI technologies aligned with OpenAI’s ChatGPT 4o, Anthropic’s Claude 3, Google’s Gemini, and other LLMs.
Using your data, NITRO Copilots provide concise answers to users based on simple prompts.
NITRO Copilots are set up to utilize your data sources without sharing this data with the external LLM models. NITRO Copilots access data and content that already exist in your organization, making disparate and heterogenous data formats easily consumable and available to employees.
KB Copilot for Help Desk
Leverage the power of ChatGPT working with your data (FAQs, docs, manuals, tickets, pdfs, etc.) to provide accurate and synthesized answers to user inquiries.
HR Copilot
Give your employees a simple, quick, and easy way to get answers to common HR questions by using ChatGPT to access HR information sources such as FAQs, docs, pdfs, manuals, etc..
ChatGPT Generative AI
ChatGPT and Generative AI are all the buzz these days. The question is, how to use them effectively to drive business process automation? With NITRO AI Services, we use ChatGPT to produce quick and relevant responses for users and staff.
An important part of using ChatGPT is to have enterprise data ready, available, and in the right format for use by the tool. This requires Data Optimization as described in the section below. Enterprise data comes from historical ticket data, FAQs, manuals, user guides, and other sources to provide a rich and relevant source of data to fuel the ChatGPT engine.
Crow Canyon offers data optimization services to take enterprise data sources and get them ready for use by ChatGPT.
User Self-Help.
Users of NITRO Help Desk can enter a prompt that will return a response relevant to the user’s question or issue. This is done by using ChatGPT in conjunction with enterprise data to generate responses that are contextually appropriate, making them useful and practical for the user.
Staff Augmentation.
NITRO Help Desk uses ChatGPT to make staff’s work easier and more efficient. By analyzing incoming emails, tickets, and requests, ChatGPT can generate auto-responses that are focused and relevant. Tickets can be prioritized, categorized, and routed automatically based on content and context of the user’s inquiry.
Natural Language Prompting for Reports.
Managers and staff can generate NITRO Reports through Natural Language prompts. They can enter text such as “compare this month’s ticket activity to last month’s in a bar graph” or “show me a report on ticket aging,” for example.
NITRO Engage Bots
Using a customizable template, we can configure Crow Canyon’s NITRO Engage Bot to work for any service. This broad tool can be fitted for most Microsoft Teams Bot options, including FAQ Bots, Staff Support Bots, Teams Bots, and IT Support Bots.
Implementing Bots can save time for both the end user and your staff in answering repetitive questions, and being available 24×7! We pride ourselves in providing a unique, fluid option for any industry.
Custom Chatbot Solutions
We can help you build Chatbots that follow your specific business process, including integration with intelligent services like LUIS, Text analytics, Q&A Maker, and more. Integrate pre-built NLP-based Chatbots with your Crow Canyon applications.
Bot Discovery Service
We will work with you to design a Bot that meets your specific needs. Through conversations with you and your staff, we will come up with cost and timeline estimates based on the purpose, range, personality, and deployment of the Bot. We will also address options for Bot onboarding and analytics.
Email Sentiment Analysis
Often, the first indicator of a customer service issue is when a customer sends an email that details, in no uncertain terms, that they are not happy with your company. Wouldn’t it be good to know about such emails right away?
By knowing as soon as possible that a customer is not happy with the service or products delivered, staff can provide solutions and pre-empt further escalation. Addressing a dissatisfied customer’s concerns quickly results in better service and a higher level of customer care.
Email Synchronization
A component of our applications, this parses emails and maps them into requests and ticket. Email Sentiment Analysis takes this one step further and analyzes that content of the email. When certain negative indicators are found, staff and managers can be alerted so that they can take immediate action.
“Reading” Your Emails
Email Sentiment Analysis “reads” emails, looking for language and structure that indicates a problem, and alerts staff if a customer needs special attention. Issues are identified and addressed before they balloon into more serious matters.
NLP-Based KB Searches
When doing searches or looking up information, people are getting used to typing in what is called “natural language,” not structured queries. For example, inputting “How do I change the toner cartridge on my printer?” is more natural than “printer toner cartridge change.”
Utilizing Microsoft’s Language Understanding tool “LUIS”, we apply intelligent machine learning to the user’s natural language input. From this, we can predict overall meaning and intent and extract relevant terms. We are able to provide appropriate search results without requiring exact search terms.
Active Learning
Our system uses active learning to continuously improve the quality of the Natural Language Processing, thereby making interactions with users better and better over time. Enhance your list search by letting users type in natural language.
Custom NLP Solutions
Crow Canyon can help you create an application-specific LUIS natural language model to provide natural language interface and capabilities. These can be chat bot applications that will help users complete common tasks and can also be search-based applications that provide better results and are more user friendly.
Data Optimization
Your Service Desk most likely has a large number of tickets, issues, requests, questions, etc. You may be using this information for reporting and trend analysis, which is important, but it can also be used as a rich source of data for building KB articles and FAQs.
Our Data Optimization service turns this unstructured set of historical data into a powerful tool for Service Desks. An optimized, well-categorized KB speeds resolution and help you provide better service. When used in conjunction with our Chatbot technology, the Service Desk can see a significant reduction in calls that need staff time and input to resolve.
Building a Knowledge Base
We analyze your historical ticketing data and compare it to your current Knowledge Base. If you don’t have a KB, we build it for you. We optimize categorization and content to align with the actual “on-the-ground” reality of your Service Desk, resulting in a much more comprehensive data set that can speed resolution.
Data Organization
Rather than have data from past support requests or user issues sit untapped, our data optimization can distill and structure this set of information for use directly by users, staff, or chatbots. We help you extract the key data, organize it, and present it so that your Service Desk can use it to its best advantage.
