Easie

It is a great honor to stand among the winners of the San Diego Business Journal CEO of the Year awards 2024. It's a privilege to lead such an incredible team at Easie and this achievement would not be possible without our team of 300 subject matter experts. This award acts as continued validation of Easie's business model, where clients ask us to implement almost any type of business project. Our work in automation, AI, analytics, research and 40 other services demonstrate that single-source consulting is extremely useful for businesses. Thanks again to the SDBJ and San Diego business community for this recognition. https://lnkd.in/e63Tdwag #leaders #ceo #teamwork

Excited to share Easie's launch of an AI-enabled chatbot service for businesses, universities, local governments and non-profits. Using OpenAI foundational models and embeddings-based search, Easie’s AI chatbots offer instant, accurate responses from multiple knowledge sources, designed to meet the specific needs of each organization. AI chatbots solve a critical pain point for many of our clients. Instead of waiting for a person, reading through an FAQ or searching with keywords, end users can now access broad information about an organization just by asking questions in natural language to a chatbot embedded on the organization's website. One high-impact application of AI chatbots is handling tier 1 support, managing routine inquiries and providing immediate solutions before being routed to human-based tier 2 support. This capability allows human agents to focus on more complex issues, optimizing the support workflow and enhancing overall efficiency. The AI chatbots offered under this service are trained on an organization-specific corpus of data using embeddings, ensuring they provide precise and personalized support. By integrating with existing systems, these chatbots streamline customer experience by offering 24/7 assistance on websites, customer portals and other digital platforms. This organization-specific corpus of data and its structure for training the model is highly unique to each business and is collected during the implementation of a given chatbot. The model's results depend heavily on the corpus of data being comprehensive, along with structuring the role, agent instructions and chat rules for the AI model to follow. Easie's process for developing a custom AI chatbot begins with a thorough understanding of the organization's use case. This involves gathering detailed information about the organization's needs and objectives, which informs the development of the comprehensive corpus of data unique to that specific chatbot’s role. Alongside this, organization-specific rules for the conversation are established to ensure the chatbot operates within the desired parameters. After the initial setup, Easie robustly tests the chatbot with the organization, allowing for iterative refinements and adjustments based on feedback. This rigorous testing phase ensures that the chatbot performs effectively and meets the organization's expectations before it is launched to the end user. Are any of you using AI chatbots for business operations or customer support? #AI #Chatbots #CustomerSupport #BusinessSolutions #DigitalTransformation #Automation #AIChatbots #OperationalExcellence

In a recent Harvard Business Review article, "Highly Skilled Professionals Want Your Work But Not Your Job," the tongue-in-cheek title underscores a notable shift in workforce dynamics. Increasingly, businesses are leveraging external workforces to handle skilled labor and specialized projects, creating a “blended workforce”. The rise of single-source, implementation-focused consulting firms like Easie presents a unique solution for accessing external, specialized labor without the complexity of hiring multiple firms with varied specializations. This shift is particularly relevant in a competitive market where hiring challenges and the limitations of traditional employee perks are evident. Businesses benefit from external workers' specific project deliverables, niche expertise, diverse cross-industry experience and customizability. They also benefit from traditional employees' ability to adapt to diverse and changing business demands, availability in times of crisis, dedication to sustaining company culture and commitment to continuous upskilling. Easie’s track record of over 600 projects completed highlights our focus on expert implementation of complex business projects as an external, centralized team. From optimizing tech solutions in healthtech, conducting comprehensive technology due diligence, performing advanced market research, AI implementation to complex data analytics, Easie has proven to be a valuable resource in expanding operational capabilities and completing technical projects for growing businesses, investment groups and portfolio companies. Does your company use a blended workforce? https://lnkd.in/ezNAct9J #OperationalExcellence #BusinessStrategy #TechnologySolutions #MarketTrends2024 #Innovation #WorkforceDynamics #BusinessTransformation #LeadershipStrategy

Using AI for automatically reviewing documents offers up to 95% time savings to focus on other areas of business. As more businesses consider AI pilot projects in 2024, a recurring question clients are asking at Easie is: "How is AI actually useful for my specific business?" Most businesses are not purely AI companies and are often interested in automating some element of their business that historically required manual input or advanced conditional algorithms to process information. Outside of chatbots or chat layers on top of a data repository, which on its own have huge potential, the fact that AI is multimodal and can accept files, images, audio, video and other file types opens huge doors for business automation. Using AI for back office operations and mass document processing is a major area of interest we are consistently seeing where documents can be automatically processed without the need for manual input. Businesses that regularly process large volumes of digital documents or have a large backlog of paper files are finding this use case especially interesting. Historically, automatic document processing relied on OCR or the setting up of complex processing rules that required maintenance and significant configuration. The ability to extract qualitative details or content summarization was limited. Today's API-driven AI models allow for more flexible back office document processing and can be configured more easily to specific use cases. Further, AI-driven document processing systems can be set up to extract field data across varying file formats as well as qualitative elements like sentiment or content. Extracting data and summarizing files can be especially useful for time-sensitive applications. Systems can also be set up to trigger further automation post-processing depending on the context of the document. To address this growing need for document processing, we built Easie document AI as a software product to help clients with automatic field recognition and mass document processing to automate back office operations and reduce manual entry. This system can recognize pre-defined field data across almost any format including handwritten data and can send the data to other databases or systems via API or Zapier. Here is a demo video of Easie document AI showing this application for financial invoices: https://lnkd.in/eBxvCsVv What are your thoughts on AI-driven document processing? #AI #computervision #documentprocessing #businessautomation