In case you’re constructing a Software program as a Service (SaaS) product and nonetheless treating generative AI like a aspect mission… I’ve bought unhealthy information: your opponents aren’t.
They’re constructing with it. They’re transport options round it. They’re closing offers quicker, supporting customers higher, and rethinking all the means their groups work.
This isn’t nearly including a chatbot or slapping an AI-powered sidebar onto your UI. SaaS corporations are utilizing GenAI to essentially change how they function, from automating workflows and rewriting playbooks to embedding LLMs instantly into the instruments their prospects use day by day.
And that shift is already exhibiting up within the information. The AI SaaS market is predicted to succeed in $101.73 billion in 2025. G2 additionally discovered that generative AI options have been added to merchandise throughout practically 200 software program classes, from product information administration (PDM) to human useful resource administration techniques (HRMS).
If that sounds overwhelming, don’t fear, G2’s Generative AI Software program class is a good place to discover what’s on the market and see how different corporations are approaching it.
On this report, I’ve damaged down how SaaS corporations are utilizing GenAI, what adoption seems to be like, and real-world functions. In case you’re nonetheless determining the place GenAI suits into your roadmap, your stack, or your inside workflows, that is the place to start out.
How are SaaS corporations utilizing GenAI in 2025? Preview
As of 2025, these are the highest use instances for generative AI in SaaS companies.
| Use case | The way it works | SaaS merchandise with the built-in use case |
| Content material era | Customers generate textual content like weblog posts, product descriptions, or emails contained in the product, and in addition refine or rewrite content material contained in the platform | Shopify Magic, Grammarly |
| Personalization | AI customizes product experiences, suggestions, or messaging based mostly on consumer habits and context | HubSpot, Zendesk |
| Design automation | AI generates visible property, layouts, or artistic content material | Canva Magic, Adobe |
| Language translation | AI interprets textual content or speech in actual time inside communication or workflow instruments | Slack, Zoom |
| Information insights and augmentation | AI analyzes, summarizes, or simulates information to assist customers make quicker choices | Tableau, AnswerRocket |
| Voice and video intelligence | AI analyzes conferences, calls, or recordings to summarize content material, extract insights, or auto-tag occasions | Gong, Salesforce Gross sales Cloud |
| In-product AI assistants | GenAI copilots information customers by actions, setup, or decision-making in context | G2.ai , ClickUp |
Be aware: The use case listing is derived from my analysis on the main AI options that SaaS corporations ought to embody, and the instance merchandise are these I’ve personally seen or labored with.
SaaS companies incorporating GenAI into their merchandise: By use case
On the subject of customer-facing options, generative AI is exhibiting up all over the place, from serving to customers write content material and emails to serving up smarter suggestions, automating design, translating in actual time, and even performing as a built-in writing assistant.
And corporations aren’t losing time. In keeping with the 2024 SaaS Benchmarks Report by Excessive Alpha, 56% have already launched or examined AI options of their merchandise, whereas one other 25% have them on the roadmap. That leaves simply 19% with no plans in any respect, that means the overwhelming majority of SaaS corporations are already constructing with GenAI or gearing as much as roll it out quickly.
1. Content material era: Enabling customers to create blogs, emails, and extra inside your product
One of many best methods SaaS merchandise are utilizing GenAI proper now? Serving to customers create content material with out ever leaving their platform. Whether or not it’s weblog posts, e-mail copy, social media captions, or product descriptions, built-in AI is giving customers a head begin and saving them tons of time.
Mostly, writing assistant options are showing in numerous SaaS instruments, starting from CRMs and CMSs to assist desk platforms and documentation software program.
Whereas GenAI-powered content material era helps customers create solely new textual content inside your product, AI writing assistants concentrate on refinement: rewriting, enhancing, and optimizing present content material for tone, readability, and accuracy. The 2 capabilities typically coexist, turning SaaS platforms into end-to-end writing environments the place customers can ideate, draft, and polish with out switching instruments.
In keeping with CoSchedule’s “The State of AI In Advertising 2025” report, 84% of entrepreneurs say AI has helped them ship high-quality content material quicker. That pace benefit doesn’t simply apply to weblog writers. Gross sales reps can use AI to refine outreach emails. Assist brokers can polish canned responses. Inside groups can enhance readability in documentation. With fewer handbook edits and quicker iterations, writing assistants are serving to customers get from draft to completed in file time.
Supply: CoSchedule
And the momentum is just choosing up. Valued at $1.7 billion in 2023, the AI writing assistant market is on observe to develop at over 25% CAGR by 2032, pushed by rising demand for quicker, smarter content material creation throughout groups and industries.
Right here’s one other stat to notice. In keeping with The Enterprise Analysis Firm, the AI content material era house is about to develop from $3.28 billion in 2024 to $4.84 billion in 2025, and hit $22.91 billion by 2029. That’s a whopping 47.5% compound annual development charge (CAGR), fueled by the necessity for quicker content material, higher personalization, and assist for a number of languages.
Supply: The Enterprise Analysis Firm
GenAI adoption is already mainstream amongst advertising groups, reflecting how deeply AI-driven content material creation has turn out to be a part of on a regular basis SaaS workflows. 53% use it for high quality management duties like spellchecks and rewrites, 50% for producing advertising content material corresponding to blogs and emails, and 48% for creating visible property for advertisements and social media. This momentum continues to develop, signaling a transparent shift in consumer expectations. SaaS platforms at the moment are anticipated to assist all the content material lifecycle, from creation to refinement, instantly inside the product.
Why add GenAI-powered content material era to your SaaS product
- Beats the clean web page: Customers don’t have to start out from scratch; AI provides them a strong first draft.
- Saves time: Solo customers and small groups can create content material quicker, with out exterior instruments.
- Retains customers in your product: No must copy-paste from ChatGPT; they get what they want proper inside your app.
- Shortens time to worth: AI helps customers see outcomes quicker, decreasing churn threat throughout early use.
Must you construct this in?
In case your platform includes writing, enhancing, planning, or publishing, then incorporating content material era is a simple, low-effort GenAI software that customers already anticipate. Furthermore, in case your platform handles any type of written communication, corresponding to emails, paperwork, descriptions, or assist responses, including a writing assistant could be a easy, high-impact enhancement.
2. Personalization: Turning consumer habits into real-time steering
Personalization has moved from a function to a consumer expectation. In keeping with Salesforce, 39% of persons are snug with AI getting used to higher perceive their wants, and 40% folks say that AI raises the bar on buyer experiences. For SaaS companies, because of this personalization should be constructed into the product itself, using GenAI to adapt experiences, suggest actions, and information customers in real-time.
Supply: Salesforce
And enterprise leaders are betting closely on it. 58% say AI-powered chatbots would be the most impactful personalization know-how within the subsequent 5 years. It highlights the sturdy confidence in AI to ship higher experiences at scale.
Why add GenAI-powered customized suggestions to your SaaS product
- Delivers worth quicker: GenAI analyzes consumer habits in actual time to floor the following greatest motion, function, or useful resource, decreasing friction and serving to customers see outcomes sooner.
- Boosts engagement: AI fashions constantly study from consumer interactions, making certain suggestions evolve with altering wants and maintain customers lively longer.
- Feels tailor-made (even at scale): In contrast to rule-based logic, GenAI can adapt to every consumer’s context, function, and intent, delivering really individualized experiences with out handbook setup.
- Will increase improve potential: Clever, context-aware upsell recommendations really feel natural, not pushy, as a result of they’re based mostly on precise consumer habits and timing.
Must you construct this in?
In case your platform gives a variety of options or serves totally different consumer roles and objectives, then sure. GenAI-powered suggestions help customers find what they want extra rapidly, with out overwhelming them with choices, which helps enhance engagement from the start.
3. Design automation: Serving to customers create visuals, layouts, and extra
Design automation is likely one of the flashiest (and most helpful) methods GenAI reveals up inside SaaS merchandise. As a substitute of beginning with a clean canvas, customers can generate social media posts, slide decks, product banners, and extra with only a immediate. It’s an enormous time-saver, significantly for non-designers.
And the market is just getting hotter. In keeping with latest projections, the worldwide AI-powered design instruments market is predicted to develop from $4.4 billion in 2023 to $26.5 billion by 2033, with a robust CAGR of 19.6%. From advertising and structure to trend and product growth, industries are turning to AI to speed up design workflows and increase artistic output.
Supply: Market.Us
What’s particularly attention-grabbing is who advantages probably the most. Skilled designers report strong features (69% say they’re happy with AI instruments, and 54% report improved high quality), and builders report even increased satisfaction at 82%, 68% saying AI improves the standard of their work. With AI dealing with the heavy lifting, even new designers or hobbyists can now create polished, on-brand designs.
Why add GenAI-powered design automation to your SaaS product
- Sooner visible creation: GenAI transforms prompts into polished visuals, templates, or layouts in seconds, serving to customers produce skilled designs with out artistic experience.
- Expands artistic entry: Non-designers, corresponding to entrepreneurs, gross sales representatives, and founders, can generate on-brand property immediately, eradicating the dependency on specialised groups.
- Improves model consistency: AI learns from present model types and pointers to generate templates and visuals that keep uniformity throughout campaigns and channels.
- Reduces tool-switching: With built-in GenAI capabilities, customers can brainstorm, design, and export inside your product, eliminating the necessity for exterior design instruments.
Must you construct this in?
In case your product touches advertising, gross sales, publishing, or artistic work, design automation is price contemplating. It’s fairly impactful for groups that want to maneuver quick with out sacrificing polish.
4. Language translation: Making real-time communication and content material accessible throughout languages
Language boundaries are an instantaneous blocker for product adoption. GenAI helps SaaS corporations break by by translating content material, assist, and even in-app interactions in actual time. As a substitute of leaping to Google Translate or struggling by English-only directions, customers get a extra pure, localized expertise, proper the place they’re.
The market’s development is pushed by demand for real-time, high-accuracy translation throughout industries. In keeping with Future Market Insights, the AI language translation instruments market is projected to develop at an 8.5% CAGR from 2024 to 2034.
Adoption can also be accelerating. A latest survey signifies that whereas over 70% of language service suppliers have adopted conventional language applied sciences, AI instruments are rapidly catching up. If all deliberate and present implementations proceed, AI-powered translation instruments will attain the identical degree of adoption. In truth, solely 15% of corporations report having no plans to implement GenAI translation in any respect.
Supply: ELIS Analysis
Why add GenAI-powered language translation to your SaaS product
- Attain extra customers: GenAI permits real-time translation of content material, interfaces, and messages, serving to customers interact of their most popular language.
- Enhance onboarding: AI-driven translation ensures that directions, tooltips, and assist content material are localized immediately, decreasing friction for brand spanking new customers.
- Make your UX extra inclusive: GenAI understands linguistic nuances and context, permitting your platform to speak naturally with customers from various areas and backgrounds.
- Make localization scalable: AI makes it simpler (and cheaper) to assist a number of languages with out an enormous elevate.
Must you construct this in?
In case your product serves a worldwide viewers, or plans to, then sure. Language translation is likely one of the clearest methods to make your SaaS platform extra inclusive, user-friendly, and future-ready.
5. Information insights and augmentation: Serving to customers analyze, summarize, or act on their information quicker
As a substitute of digging by spreadsheets or operating advanced queries, customers can ask plain-language questions and get AI-powered summaries in seconds. Some instruments even go additional, flagging anomalies, writing efficiency highlights, or figuring out correlations robotically. It’s a shift from static stories to residing, conversational analytics.
And the momentum behind this shift is huge. The worldwide AI in information analytics market is forecast to develop from $18.5 billion in 2023 to $236.1 billion by 2033, with a CAGR of 29%.
In parallel, 60% of senior executives say they’ve already seen ROI from AI-enhanced decision-making, proving simply how impactful AI-driven insights may be for groups that depend on information to maneuver rapidly.
Supply: Adobe
Why add information augmentation to your SaaS product
- Quickens decision-making: Helps customers go from query to reply with no need an analyst.
- Will increase function worth: Turns your dashboards and stories into actionable, user-friendly instruments.
- Helps non-technical groups: Gross sales, assist, and advertising groups can all profit from instantaneous perception.
- Surfaces hidden patterns: AI can catch what people may miss in massive datasets.
Must you construct this in?
In case your product collects any sort of operational, behavioral, or efficiency information, this is likely one of the highest-leverage GenAI use instances to discover. Particularly worthwhile for platforms with broad consumer bases or cross-functional information wants.
6. Voice and video intelligence: Extracting insights from calls, conferences, and recordings
Voice and video conversations are a number of the richest sources of buyer perception — however traditionally, they’ve been onerous to trace, analyze, or share at scale. GenAI is altering that. As a substitute of counting on reminiscence or scattered assembly notes, AI-powered voice and video intelligence instruments can transcribe calls, summarize key factors, determine sentiment, and tag motion gadgets robotically.
Whether or not it is a gross sales demo, a assist name, or a staff huddle, each dialog turns into a searchable, structured asset inside your product. A latest survey revealed that 76% of corporations now embed dialog intelligence in over half of their buyer interactions, making it a core a part of how groups interact and study.
The market is increasing quickly, too. The dialog intelligence software program house is projected to develop from $25.3 billion in 2025 to $55.7 billion by 2035, with a CAGR of 8.2%. In the meantime, the speech analytics market, a key part of this use case, is projected to develop from $5.11 billion in 2025 to $18.85 billion by 2034, highlighting its rising significance in product ecosystems.
Supply: Priority Analysis
Why add voice and video intelligence to your SaaS product
- Powers higher choices: Surfaces key themes, motion gadgets, and objections to information product, gross sales, and buyer success methods.
- Allows real-time assist: Helps ship teaching suggestions or recommendations throughout dwell calls, not simply after they finish.
- Reduces handbook work: Eliminates the necessity for reps to take notes or write name summaries.
- Enhances inside visibility: Let cross-functional groups faucet into voice-of-the-customer insights with out digging by name recordings.
Must you construct this in?
In case your product includes buyer calls, staff collaboration, or service supply, completely. GenAI-powered voice and video intelligence provides you a option to mine each dialog for insights, and use that information to enhance workflows, teaching, onboarding, and extra. It’s significantly worthwhile in instruments for gross sales, assist, recruiting, and distant collaboration.
7. In-product AI assistants: Guiding customers in actual time, proper the place they’re
AI assistants have gotten the brand new default for consumer assist, embedded instantly into the product expertise. As a substitute of opening a brand new tab or ready for a assist desk, customers can ask questions, get step-by-step steering, or troubleshoot points instantly within the interface. These assistants pull from product documentation, assist facilities, data bases, and even previous consumer habits to ship quick, related solutions.
The most important shift? These assistants aren’t simply passive chatbots. GenAI permits them to turn out to be proactive copilots, suggesting subsequent steps, highlighting options, and even finishing actions based mostly on pure language prompts.
It’s no shock that funding is rising quick. Virtually 51% of organizations are actively exploring AI brokers, and an extra 37% are already piloting them, signaling sturdy intent to undertake. And the market development is in consensus: the worldwide AI brokers market, valued at $5.4 billion in 2024, is projected to surge to $50.3 billion by 2030, rising at a outstanding 45.8% CAGR. What was as soon as a novel function is quickly changing into a core expectation.
Source: Grand View Analysis
Why add in-product AI assistants to your SaaS product
- Assist customers within the stream of labor: No want to depart the product or look ahead to assist tickets.
- Reply questions with actual context: Use product information to ship extra correct responses.
- Cut back onboarding time: Help customers with setup, steering, and suggestions in actual time.
- Scale your assist: Deal with repetitive queries with out overloading your CS staff.
Must you construct this in?
In case your product consists of advanced workflows, a number of modules, or a steep studying curve, an in-product AI assistant may be actually useful. It meets customers the place they’re, adapts to their habits, and lightens the load in your assist and success groups.
Different AI options SaaS companies are embedding of their merchandise
SaaS leaders aren’t stopping at content material era or chatbots. As generative AI capabilities broaden, so do the methods software program groups are placing them to work, typically in refined however highly effective ways in which make merchandise smarter, quicker, and extra useful by default.
Right here’s a breakdown of lesser-known AI options being constructed into SaaS merchandise:
- Sensible search and pure language queries: As a substitute of utilizing advanced filters or figuring out precisely the place to click on, customers can now sort plain English prompts like “Present me all leads over $5K within the final 30 days.” Platforms like CRMs and analytics instruments reply immediately with exact outcomes, making information extra accessible throughout groups.
- Auto-tagging and classification: Whether or not it is assist tickets, uploaded paperwork, or buyer data, AI can robotically label and categorize entries based mostly on context. This helps cut back litter, pace up sorting, and enhance downstream workflows with out handbook enter.
- Studying path era: Onboarding is changing into smarter. Some SaaS platforms now generate customized coaching sequences or tooltips relying on consumer habits, function, or actions taken, guiding customers by the product at their very own tempo.
- AI-assisted workflow builders: As a substitute of dragging blocks or writing guidelines, customers can describe what they need in pure language (e.g., “Ship a reminder e-mail if this type is incomplete”), and the platform builds the logic behind the scenes.
- Type and report mills: From CRM exercise logs to invoices and mission summaries, GenAI helps auto-fill repetitive fields or generate first drafts of stories. Which means much less time spent formatting and extra time performing on the insights.
How are SaaS corporations monetizing GenAI options?
Embedding GenAI isn’t nearly product innovation; it’s additionally opening up new income fashions. From tiered entry to usage-based pricing, SaaS companies are beginning to deal with AI like a premium utility.
Right here’s how GenAI options are being monetized right now:
- Utilization-based pricing: Many SaaS platforms now cost based mostly on AI credit score utilization, for actions like producing textual content, summarizing transcripts, or creating photos.
- Premium function tiers: GenAI instruments are sometimes gated behind increased pricing plans, making them a pure upsell lever.
- Add-on modules: Some merchandise supply GenAI capabilities as separate paid modules, like AI-powered analytics, writing help, or buyer insights, even inside present plans.
- Seat-based AI upgrades: AI performance may be offered per consumer or function, particularly in instruments with role-specific workflows.
- Freemium with AI watermarking: Free plans could supply AI options with restricted output high quality or seen watermarks, incentivizing customers to improve for full utility.
- Customized fashions or enterprise add-ons: For bigger prospects, distributors could supply fine-tuned AI fashions or integrations as a part of a customized enterprise settlement.
The AI edge: What fashionable SaaS cannot afford to overlook
Let’s be clear: GenAI is now not a novelty. It’s quickly changing into foundational to how customers interact with SaaS merchandise.
All through this piece, we’ve seen how prime platforms are integrating GenAI to simplify onboarding, personalize experiences, floor insights, and automate repetitive duties. From AI assistants to good suggestions and real-time transcription, these options are shaping consumer expectations throughout industries.
And it’s not nearly higher experiences. Firms are discovering actual worth. They’re monetizing GenAI by premium options, boosting adoption with clever UX, and positioning themselves as leaders of their class. The expansion figures from AI brokers to dialog intelligence solely verify that momentum is accelerating.
So when you’re constructing a SaaS product right now, the query isn’t whether or not you must undertake GenAI. It’s how rapidly you’ll be able to design significant use instances that serve your customers, suit your product, and drive ROI.
As a result of the hole between merchandise that use GenAI properly and those who don’t? It’s getting wider. And prospects are already beginning to discover.
Now’s the time to construct what they’re anticipating subsequent.
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