Enterprise
generative AI
use cases
Introduction
Generative AI has opened up new frontiers in the business world. If you’re here, you’re ready to explore this newly discovered landscape but don’t know where to start. After all, the opportunities are growing, but so are the challenges. As with any successful venture, it’s important to craft a plan, secure the right resources, and align your team. The sooner you start this journey, the more likely you are to maintain a competitive edge over others vying for the same opportunities.
Welcome to your Big book of enterprise generative AI use cases. This is your starting point. It’s a launch pad to get you and your colleagues thinking about what generative AI use cases can accelerate growth, increase productivity, and safeguard governance across your business. It’s a place for you to see the value you can get from it and how to get started. It’ll also help you figure out your requirements for a generative AI platform partner, so you can avoid some of those snafus that seem to come up with just about every new project. And because it’s based on real-world experiences from folks who have accelerated their business with generative AI use cases, you’ll get real, practical insights.
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How to get the most out of this guide
We organized this guide in modules and by function. You’ll find sections for finance, human resources (HR), legal, marketing, sales, and support. Within each function, we then slice it up by generative AI use case types specific to each department.
(We could’ve done more, but we had to draw the line somewhere.)
Three big ideas for
generative AI in the enterprise
At the heart of our generative AI platform is a desire to create a product that your people will love, guided by three core value pillars — accelerating growth, increasing productivity, and enabling compliance.
Here’s a summary of the benefits we’ll explore
Finance
Finance use cases
Generative AI empowers finance and accounting departments to focus on initiatives that help the company grow. Say goodbye to tedious, time-consuming tasks.
Reduce friction and timeline in the close process with quick summaries of sales contracts.
Prepare for earnings calls by summarizing previous transcripts and looking for trends across Q&A.
Quickly research tax questions across private rulings or SEC draft legislation to inform guidance.
Ensure the proper disclosures are included where necessary across financial documents or marketing content.
Draft language that documents accounting policies and procedures.
Trace and vouch audit evidence against transactional data and summarize findings.
From S-1s to 10Ks/10Qs, create and update templates as a starting point for your drafting sessions.
Draft faster responses to IRS and SEC notices across all divisions and portfolio companies.
Functional requirements for generative AI:
- Delivers highly accurate and reliable results
- Backed by an LLM with financial expertise
- Securely connects to company’s data
Case study
Finance team simplifies the manual tasks of updating corporate polices
Challenge
A finance team is bogged down by updates to corporate policies and procedures every time there’s a change in business need or regulation.
Solution
Using a Writer custom AI app, the finance team now improves updates to corporate policies such as travel and expense (T&E) or infosec. Instead of manually doing this every time an update is needed, the team uses Writer to instantly locate where to make the change and drafts the appropriate language to add.
Key Writer capabilities
Knowledge assistant app, Knowledge Graph
Human resources
Human resources (HR) use cases
HR and talent teams rely on Writer to simplify their work and prioritize a people-first approach throughout the entire HR lifecycle. Writer enables HR and talent teams to focus on supporting and nurturing their employees, enhancing the overall employee experience.
Create an always-on resource that can answer common questions about employee policies and benefits.
Write sourcing emails and make sure language is on brand, crisp, and effective.
Ensure on-brand and inclusive language in all internal and external communications.
Simplify updates to employee policies everywhere they live, like the employee handbook, offer letters, and internal docs.
Write first drafts of L&D materials from existing content such as recordings of internal meetings or employee documentation.
Attract the right talent with job descriptions that match internal requirements.
Summarize how employees are feeling across feedback cycles and get ahead of trends.
Surface trends across recruiting reports and draft insights for internal presentations.
Functional requirements for generative AI:
- Writes in your voice
- Reflects company values
- Securely connects to internal knowledge base
Case study
A people ops team embeds Writer across day-to-day workflows
Challenge
A people team was fielding many of the same employee questions, day after day. Meanwhile, understanding people trends required slow and manual analysis of dense quarterly engagement results.
Solution
Using a Writer custom FAQ chat app that references all internal documents, the HR team can now self-service answers faster. With every engagement survey report added to the Writer Knowledge Graph, a custom AI app processes the last year of results to identify top trends, insights, and direct feedback.
Key Writer capabilities
Custom-built AI applications, Knowledge Graph
Legal
Legal use cases
Legal and compliance teams trust Writer to expedite legal processes and facilitate compliance. Give attorneys and compliance experts time back so they can focus on more strategic work.
Review commercial and other contracts for specific terms or known issues.
Create a synopsis of lengthy legislative or judicial updates before diving into specific details.
Compare the current version of a document or URL, like a contract or a statute, to the prior version and identify what’s different.
Review target company’s existing contracts for terms like change of control or assignment provisions.
Confirm that new marketing assets, Including text and imagery, use approved claims and include appropriate disclaimers.
Enable non-legal teams with self-service compliance tools to reduce legal review times and effort.
Create a self-service resource for employees to get instant answers to common legal questions.
Functional requirements for generative AI:
- Can process high volume of dense content
- Produces highly accurate and reliable results
- Securely connects to company’s legal documents
Case study
From long hours of research to instant answers with Writer
Challenge
A legal team needs to analyze earnings call transcripts from similarly situated public companies to identify common disclosures about risk factors related to regulation.
Solution
Using Ask Writer with document analysis, legal teams can upload dozens of earnings call transcripts to Writer. With a quick prompt, Writer summarizes the risk factors identified in those transcripts. An analysis that would previously take an attorney hours to days is now completed in minutes.
Key Writer capabilities
Ask Writer with document analysis
Marketing
Marketing use cases
Marketers trust Writer to transform processes, compress timelines, and say yes to big things. Generative AI gives marketers a leg up, helping them increase their content production by as much as 50% or more, get to market faster with distribution shortcuts, and keep all their people on brand.
Deliver accurate product descriptions and details from your database to all your channels and markets.
Digest competitive intelligence by pulling highlights from websites, financial filings, earnings calls, and analyst research.
Derive meta-descriptions, social posts, and abstracts from original content to streamline distribution.
Govern voice, across multiple brands, with copy suggestions, terminology guardrails, and style guide corrections.
Bring your message to any market with on-point content translation in 30+ languages.
Take existing content such as white papers and eBooks and recast it for a new vertical or persona.
Turn meetings and webinars into net-new content, such as blogs, white papers, and social posts.
Generate highly-tailored communications to multiple segments of a large audience.
Functional requirements for generative AI:
- Knows your products
- Speaks in your voice
- Writes in your style
- Integrates with your data sources
- Detects claims and checks facts against your data
Case study
How 6sense marketing uses Writer to get more efficient
Challenge
Scaling content output and maintaining brand consistency.
Solution
- Automatically rebranded 100 blog posts to align with 6sense brand style.
- Transformed product documentation to sound more conversational and aligned with the company’s voice.
- Verticalized content to cater to specific industries and personas.
Key Writer capabilities
Custom-built AI applications, Knowledge Graph, AI guardrails
Outcome
50% increase in writing output, improved brand consistency, and enhanced content personalization.
Sales
Sales use cases
Sales teams trust Writer to empower sellers, uplevel work, and reduce friction in sales cycles. Spend more time selling by saving time for account strategy, partner collaboration, and customer face time.
Arm your team with knowledge from your best sources so they can answer customer and product questions.
Create tailored communications to prospects based on their needs, corporate details, and your latest messaging.
Turn sales meeting and event transcripts into executive summaries, to-do lists, and follow-up emails.
Auto-generate tailored proposals based on customer needs and your corporate rules, offerings, and messaging.
Accelerate prospect research by synthesizing sources like social media, websites, earnings transcripts, and financial filings.
Analyze customers’ financial statements and risk assessment forms to comply with policies and regulations.
Put your best foot forward with the latest gold-standard RFP responses from your knowledge sources.
Digest competitive intelligence by pulling highlights from websites, financial filings, and earnings calls.
Functional requirements for generative AI:
- Work efficiently
- Be in the know
- Accelerate sales
Case study
Commvault enables
go-to-market teams with generative AI
Challenge
With multiple buying personas and new product capabilities, Commvault’s sales team could spend hours searching for the right content to tailor messaging.
Solution
- Launch a custom chat app for sellers to self-serve answers on buyer personas and competitive messaging.
- Reduce task completion times for creating web copy and longform documents from 8–12 hours to 20 minutes.
Key Writer capabilities
Custom knowledge assistant app, Knowledge Graph
Outcome
Deployed a powerful, highly customized chat app in weeks.
Support
Support use cases
Generative AI helps support teams put their best foot forward with your latest, most helpful content, every time. Support teams trust Writer to improve processes, align with brand rules, and execute with excellence.
Arm the team with fast and centralized knowledge from your best sources.
Turn support call transcripts into executive summaries, to-do lists, and follow-up emails.
Arm agents with a writing assistant to deliver crisp, clear, and empathetic responses.
Generate articles based on the latest documentation.
Support international and non-English-speaking customers with translation into 30+ languages.
Keep global team responses on brand and compliant with the style guide and terminology.
Log great responses and update the single-source “gold-standard.”
Summarize and identify key issues and themes across support tickets.
Functional requirements for generative AI:
- Knows your products inside and out
- Gives the latest answer, in your voice
- Writes in your knowledge base or FAQ format
- Ingests and understands most data formats
- Detects claims and checks facts against your data
Case study
How Uber creates a unified knowledge ecosystem with generative AI
Challenge
Create a knowledge ecosystem for five million pieces of support-related content.
Solution
- Build a custom AI app that references its style guides and legal terms.
- Integrate directly into agents’ workflows in Google Sheets.
- Improve user experience and optimize team capacity.
Key Writer capabilities
Custom text generation app, Knowledge Graph, AI guardrails
Outcome
Delivered one million saved replies and 50 thousand help articles tailored to Uber’s compliance and brand requirements while reducing duplicative work.
How to get started
- Assess business needs: Identify potential generative AI use cases at the intersection of speed and value.
- Decide whether to build or buy: ​​Opt for buying if your enterprise AI use cases align with the ones we mentioned, due to the high cost and time required for building. Consider a full-stack platform like Writer for a comprehensive solution.
- Start with a proof of concept: Begin with a small proof of concept (POC) to understand the processes involved.
- Ensure the right expertise is available: Have the right expertise and leadership — either internally or through external partners — to guide the implementation process.
- Set milestones: Figure out what “good” looks like, and establish a timeline for generative AI deployment.
- Assess outcomes: Gather user feedback and measure your generative AI solution’s performance against predefined metrics. Then build a roadmap for more functions and use cases.