From where we are now, integrating generative AI in the enterprise isn’t just a nice-to-have anymore – it’s quickly becoming essential. It has become a necessary business tool for automating tasks, improving customer experiences, and speeding up work processes. The sooner you embark on this journey, the faster you’ll get the results and stay ahead of the competition. So let’s dive in!
Generative AI is a powerful type of artificial intelligence that allows the creation of new content. This content often resembles what humans create.
To achieve this, generative models are trained on large datasets. To become “smart,” neural networks must learn from millions, and sometimes billions, of images, texts, music compositions, or videos, depending on the domain.
Today, generative AI is one of the fastest-growing technologies. Neural networks optimise human activities, enhance productivity, and improve decision-making processes in various industries, from healthcare and finance to education and entertainment. Generative AI helps us experience a unique level of personalisation.
In most companies, information is saved across multiple data sources: internal wikis, intranets, data lakes, and data warehouses, in formats ranging from documents and PDFs to audio files. Searching for relevant, updated information in this chaos can be a real headache.
Modern organisations need new technology to help employees navigate this information jungle. This is where AI-powered search solutions come into play.
Tovie Data Agent lets you quickly and securely find data using a one-window chat format. With Data Agent, you can effortlessly create a no-code AI chatbot for any use case. It is trained on your unstructured data, is easily customisable, and is deployable across various channels.
The result? Reduced informational overload and up to 2 hours saved each day for employees, who can now effortlessly access the information they need.
To learn more about Data Agent, visit this page or contact our sales team.
Generative AI for enterprise offers possibilities to accelerate growth and drive real business impact. Employees get new tools for increased productivity, and business leaders can make more informed decisions.
Understanding how enterprise generative AI can be used across various teams can help companies make smart choices about using this technology in their processes.
1. Customer support chat and voice bots
AI is already giving customer support teams a massive leg up, thanks to enterprise conversational AI solutions like chat and voice bots, which can fasten communication with clients from the first point of contact.
Generative AI bots can bring communication with your customers to a new level. These solutions can give relevant, context-aware responses to their queries in seconds. Think of AI chatbots deployed across any channel your customers use, from websites and apps to messengers and email.
They provide prompt, accurate, and customised answers to user inquiries. They can manage numerous conversations simultaneously across different platforms, providing consistent help to everyone. This allows human representatives to focus on solving more complex support issues.
Generative AI-powered voice bots can be used both for inbound and outbound communication. They can be deployed in various scenarios, such as appointment reminders, rescheduling options, and follow-up notifications. Enterprise AI bots now confirm orders, automate targeted promotional campaigns, and provide updates on loyalty programs, making it easier for human agents and reducing costs.
2. Feedback collection and review analysis
Many businesses, like the hospitality sector, private clinics and banks, to name a few, strongly depend on positive ratings on social media and review websites. Companies struggle to track and analyse huge amounts of reviews, comments and mentions on websites and social media to respond promptly to customers who complain.
Generative AI agents can help with this problem by analysing and performing sentiment analysis of customers’ reviews. Smart AI systems, trained on your company data and guidelines, can prepare context-relevant responses to the comments. They can also bring attention to problems the company needs to address, helping improve customer service.
3. Internal search bots for customer service employees
Train your AI chatbot on company guidelines and product documents to deploy for customer service agents, helping them deliver personalised and prompt responses to client queries.
Implementing such a solution accelerates access to information, reduces the time spent searching for documents, and enhances productivity. This translates directly into cost and time savings for the organisation.
1. Writing job descriptions
AI enterprise solutions support HR teams in their key functions. Hiring managers can easily get help in creating job descriptions. For more accuracy, AI can prepare a list of questions for the prospective team leader, such as required skills, nice-to-haves, or time zone, to ensure no important details are missed.
AI can identify potential unconscious biases and language issues, all while respecting the company’s guidelines and tone of voice. The result will be a complete job post ready to be published online.
2. Employee onboarding and training
One of the HR key challenges is to put employee onboarding on guardrails, making sure the new colleagues acclimate well and become confident and self-sufficient more quickly. New hires need to get training on company products and services and access to up-to-date policies and procedures, no matter if they work on-site or remotely. AI-powered enterprise search tools, like Data Agent, can provide access to the corporate portal or intranet, answering practical employee questions in a one-window chat format.
GenAI can even help prevent employee burnout, creating a friendlier, less stressful work environment. We’ve researched this topic, speaking with AI experts and HR professionals who shared valuable insights on addressing burnout. You can find all the details in our free whitepaper.
3. Compliance analysis of candidate CVs
AI can assist in screening resumes by extracting relevant experience and skills, simplifying recruitment. This may be particularly helpful in the case of mass hiring. Imagine a large warehouse and shipping centre that recruits hundreds of seasonal employees. Generative AI can help in this process by predicting peak hiring needs, analysing CVs and shortlisting candidates.
Finance and legal
1. Document processing and report generation
GenAI can help your finance and legal teams put their best foot forward by automating many routine and time-demanding tasks, like document processing and report generation. With its help, teams can efficiently summarise key indicators and market trends and quickly create textual reports.
By implementing this AI use case, finance and legal teams benefit from easy access to accurate information, saving time and enabling swift responses. Share this bot in Microsoft Teams or another channel for specialised report inquiries to enhance team collaboration and efficiency in feedback gathering in your organisation.
2. Planning and analysis
Teams can take advantage of AI’s massive productivity gains by removing processing bottlenecks. Smart search tools allow stakeholders to quickly search and evaluate data from multiple sources, making it easier to roll out plans and conduct analysis in a coordinated and programmatic way. With AI-powered scenario modelling, teams can quickly explore different outcomes without manual data sorting, which speeds up analysis and offers clearer insights into potential financial and legal impacts.
This solution isn’t limited to finance and legal. It also enhances scenario modelling across departments, supporting more inclusive planning. Generative AI simplifies complex financial models, leading to better decision-making and reducing the need for manual data processing.
3. Market analysis
Market analysis is a practical use case valuable across various teams that can be easily automated with GenAI. It provides comprehensive insights, cost details, and comparative analysis reports, saving employees hours of painstaking work.
Feed your enterprise AI search bot competitor data, text-heavy documents, reports, and articles, and it will help understand market trends, competitor activities, and customer sentiments with precision and in mere seconds.
4. Enforcing regulatory compliance
Generative AI can help ensure accuracy and regulatory compliance. It can monitor documents and transactions against laws and regulations, flagging potential issues and helping organisations follow policies more efficiently. This reduces manual work and lowers compliance costs.
GenAI enhances legal research efficiency by automatically processing case laws, statutes, and regulations. It can track changes in laws and regulations and notify the legal department about any developments impacting the organisation.
This use case is valuable for legal and finance teams, as well as industries such as healthcare, insurance, or banking, where strict compliance requirements are crucial.
5. Contract generation and document drafting
Document drafting is one of the simplest, most effective uses of generative AI. Use it to write drafts of contracts, legal agreements, and more. AI tools deployed in your organisation know the context, have access to relevant internal information, and will save you time and effort.
Think of AI as your virtual assistant to draft documentation tailored to your company’s needs. AI can match the brand’s tone of voice and add the right level of technical detail for both internal use and external communication.
You can also try using AI for other tasks, like drafting official emails, claims, and appeals. Simply outline your requirements and add any necessary documents to your custom enterprise solution that will generate drafts for you to review. It’s as easy as it sounds.
1. Content creation
Marketers are constantly under pressure to create and distribute high-quality, hyper-personalised content and tailor messages to specific target audiences. This is where AI can make a big difference in helping teams produce content on a scale for marketing materials, decks, product descriptions, and more.
You can automate the most mundane tasks like mass press realise writing, social media posts or report recaps (pinpoint what’s bothering you the most!). Enterprise-level AI tools know your products inside and out, speak in your voice and uphold our brand’s identity across different channels. All while freeing up time for more creative tasks.
AI can also really help with brainstorming and generating ideas, making it easier to get rid of the fear of a blank page.
2. Strategy planning, channel evaluation, and analytics
AI can bring a fresh perspective to a company’s marketing strategy and how it aligns with business goals. Feed it information like KPIs and campaign analytics, audience segmentation, tone of voice, product stats and market data. AI will come back with a list of the most relevant channels and strategies to reach your objectives.
GenAI provides teams with key insights, enabling them to bring ideas to market faster. It can also analyse customer preferences and online behaviour, allowing you to segment leads into specific groups. From these segments, you can build detailed buyer personas and plan highly targeted marketing campaigns that will serve overall business goals.
1. Revenue generation with AI voice bots
AI voice bots help automate outreach and lead generation. These smart bots can call potential customers, hold natural conversations, and schedule follow-ups or appointments with human sales reps.
Today’s generative AI voice bots sound more human than ever before. They maintain the right tone, handle interruptions smoothly, and adapt to the flow of the conversation without rigid scripts. Voice bots can take on the gruelling work of cold calling and prospecting engaging in meaningful conversations to identify qualified leads. They then pass interested prospects to the sales team for further follow-up.
Bots can also assist with product upselling and cross-selling, contacting existing customers with personalised offers or upgrades based on their purchase history. Overall, this can boost customer satisfaction and increase revenue through targeted upselling.
Another valuable use case is debt collection and payment reminders for financial organisations. Bots will remind customers of upcoming or overdue payments, offer options for immediate payment, and set up payment plans.
2. Targeted sales pitches and decks
Sales reps can implement AI to accelerate sales enablement and uplevel their daily work. Trust AI to produce varied sales content, like pitches, decks and one-pagers, all customised to meet each prospect’s needs.
Your company’s AI app can be purposefully trained to align with corporate guidelines, offerings, and messaging, ensuring all sales materials are consistent and accurate. This tool helps sales teams enhance efficiency and articulate your products’ competitive advantages and unique selling points.
3. Sales training
Teaching a sales team how to deliver a new complex product can be challenging, but AI can simplify this process.
A GenAI app will allow your team to access internal databases with relevant documents, training manuals, and product updates. Serving as a unified, reliable source of truth, it helps stakeholders stay in the loop and catch the latest updates.
4. CRM data management
Managing CRM data just got a lot easier with generative AI, which is already built into many popular cloud CRM systems. AI ensures up-to-date interactions are logged, analyses massive data volumes, and advises on the next steps to successful follow-ups and deal closures. It processes customer purchase history and preferences, providing sales reps with insights for further upselling and cross-selling. In-house AI systems provide the same capabilities when integrated into an enterprise’s on-premises environment.
When using generative AI in business, especially in highly regulated industries, data security and privacy are top priorities. Companies need to address potential risks, such as legal and financial exposure, data misuse, bias, and inconsistency.
Here are the key considerations to keep in mind:
1. On-premises deployment
Deploying AI applications on-premises provides a higher level of control over sensitive data by managing access levels and keeping data within a secure environment. By deploying AI models on-premises in your private cloud, you can leverage their powerful capabilities while maintaining complete control over how your data is handled, stored, and managed.
2. Tackling hallucinations
AI hallucinations are a common problem that can’t yet be fully eliminated but is gradually improving as new, more advanced AI models are developed. The term refers to situations when a neural network encounters a gap in its knowledge. It is programmed to provide an answer, so it “makes up” a response, which can sometimes lead to errors.
The accuracy of AI responses relies heavily on the quality of input data. Hallucinations in AI models often occur when data isn’t processed properly. For example, when documents are chunked or pre-processed incorrectly or the context is fragmented across different chunks, the AI model may struggle to produce incorrect answers.
Documents must be pre-processed correctly to ensure all necessary context is included to reduce hallucinations. Tovie AI provides services to help clients prepare their data, making AI-generated responses more accurate and reliable.
3. Regulation compliance
Our solutions are built with privacy and security in mind. We ensure your data remains private and isn’t used for external training, following security practices and compliance standards.
We’re also committed to staying compliant with evolving regulations, including the EU AI Act, and closely following our obligations under current and emerging laws. As laws and guidelines change, we will monitor these updates closely and adjust our methods accordingly.
According to Gartner, only about 10% of companies using AI have extensive experience and success in deploying AI, with the majority still in the early experimental or pilot phases.
Successful integration depends on many factors:
- stakeholder and leadership support
- infrastructure readiness
- technical talent on board
- a clear understanding of the most impactful use cases that can bring real tangible benefits to the business
Tovie AI partners with companies like yours to help them evaluate their business processes and AI readiness and identify areas where the technology has the highest optimisation potential. Our experts will collaborate with you to map the most valuable use cases and design solutions that can enhance performance across your teams.
Curious about how Generative AI could work for you? Get in touch, and we’ll help you explore the possibilities. Not quite ready? Visit our free AI use case library to learn more.
With the rapid growth of generative AI, choosing the right tools for your business is more important than ever. Look for secure, reliable, and customisable tools with various data sources and formats.
Tovie Data Agent is an AI chatbot trained specifically on your corporate data and tailored to specific requirements. It is a powerful GenAI tool that integrates diverse databases and generates contextually accurate responses across your company’s unstructured data.
Data Agent works with multiple data formats and sources like Google Drive, Dropbox, SharePoint, CRMs, and even audio files. It provides deep and contextually correct responses to queries in an easy chat format.
Choosing a vendor with a proven track record in conversational and generative AI is essential. Contact our team to learn more about Tovie AI’s product stack and how we can support your enterprise needs.