For those who’re constructing a Software program as a Service (SaaS) product and nonetheless treating generative AI like a aspect challenge… 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 approach 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 straight into the instruments their clients use day by day.
And that shift is already displaying up within the knowledge. The AI SaaS market is anticipated to achieve $101.73 billion in 2025. G2 additionally discovered that generative AI options have been added to merchandise throughout almost 200 software program classes, from product knowledge administration (PDM) to human useful resource administration programs (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 appears to be like like, and real-world purposes. For those who’re nonetheless determining the place GenAI matches into your roadmap, your stack, or your inside workflows, that is the place to begin.
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 primarily based on person conduct and context | HubSpot, Zendesk |
| Design automation | AI generates visible property, layouts, or inventive 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 knowledge to assist customers make quicker selections | 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 way of actions, setup, or decision-making in context | G2.ai , ClickUp |
Word: The use case record is derived from my analysis on the main AI options that SaaS corporations ought to embrace, and the instance merchandise are these I’ve personally seen or labored with.
SaaS companies incorporating GenAI into their merchandise: By use case
In relation to customer-facing options, generative AI is displaying up in all places, 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 firms aren’t losing time. In line 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, electronic 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 varied SaaS instruments, starting from CRMs and CMSs to assist desk platforms and documentation software program.
Whereas GenAI-powered content material era helps customers create totally new textual content inside your product, AI writing assistants deal with refinement: rewriting, modifying, and optimizing present content material for tone, readability, and accuracy. The 2 capabilities usually coexist, turning SaaS platforms into end-to-end writing environments the place customers can ideate, draft, and polish with out switching instruments.
In line with CoSchedule’s “The State of AI In Advertising and marketing 2025” report, 84% of entrepreneurs say AI has helped them ship high-quality content material quicker. That velocity benefit doesn’t simply apply to weblog writers. Gross sales reps can use AI to refine outreach emails. Assist brokers can polish canned responses. Inner groups can enhance readability in documentation. With fewer handbook edits and quicker iterations, writing assistants are serving to customers get from draft to accomplished in document time.
Supply: CoSchedule
And the momentum is barely choosing up. Valued at $1.7 billion in 2023, the AI writing assistant market is on observe to develop at over 25% CAGR by way of 2032, pushed by rising demand for quicker, smarter content material creation throughout groups and industries.
Right here’s one other stat to notice. In line with The Enterprise Analysis Firm, the AI content material era area is ready 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 price (CAGR), fueled by the necessity for quicker content material, higher personalization, and help 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 develop into 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 equivalent to blogs and emails, and 48% for creating visible property for adverts and social media. This momentum continues to develop, signaling a transparent shift in person expectations. SaaS platforms at the moment are anticipated to help all the content material lifecycle, from creation to refinement, straight inside the product.
Why add GenAI-powered content material era to your SaaS product
- Beats the clean web page: Customers don’t have to begin from scratch; AI offers 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 have to 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 danger throughout early use.
Do you have to construct this in?
In case your platform includes writing, modifying, 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, equivalent to emails, paperwork, descriptions, or help responses, including a writing assistant could be a easy, high-impact enhancement.
2. Personalization: Turning person conduct into real-time steering
Personalization has moved from a characteristic to a person expectation. In line with Salesforce, 39% of individuals are comfy with AI getting used to higher perceive their wants, and 40% individuals say that AI raises the bar on buyer experiences. For SaaS companies, which means that 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 expertise within the subsequent 5 years. It highlights the robust confidence in AI to ship higher experiences at scale.
Why add GenAI-powered personalised suggestions to your SaaS product
- Delivers worth quicker: GenAI analyzes person conduct in actual time to floor the following greatest motion, characteristic, or useful resource, decreasing friction and serving to customers see outcomes sooner.
- Boosts engagement: AI fashions repeatedly study from person interactions, guaranteeing suggestions evolve with altering wants and preserve customers lively longer.
- Feels tailor-made (even at scale): Not like rule-based logic, GenAI can adapt to every person’s context, function, and intent, delivering really individualized experiences with out handbook setup.
- Will increase improve potential: Clever, context-aware upsell options really feel natural, not pushy, as a result of they’re primarily based on precise person conduct and timing.
Do you have to construct this in?
In case your platform provides a variety of options or serves completely different person roles and targets, then sure. GenAI-powered suggestions help customers to find what they want extra shortly, with out overwhelming them with choices, which helps improve engagement from the start.
3. Design automation: Serving to customers create visuals, layouts, and extra
Design automation is among the flashiest (and most helpful) methods GenAI exhibits up inside SaaS merchandise. As an alternative 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, notably for non-designers.
And the market is barely getting hotter. In line with current projections, the worldwide AI-powered design instruments market is anticipated to develop from $4.4 billion in 2023 to $26.5 billion by 2033, with a powerful CAGR of 19.6%. From advertising and structure to trend and product improvement, industries are turning to AI to speed up design workflows and enhance inventive output.
Supply: Market.Us
What’s particularly fascinating is who advantages probably the most. Skilled designers report strong positive aspects (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
- Quicker visible creation: GenAI transforms prompts into polished visuals, templates, or layouts in seconds, serving to customers produce skilled designs with out inventive experience.
- Expands inventive entry: Non-designers, equivalent 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 kinds 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.
Do you have to construct this in?
In case your product touches advertising, gross sales, publishing, or inventive work, design automation is value 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 obstacles are an prompt blocker for product adoption. GenAI helps SaaS corporations break by way of by translating content material, help, and even in-app interactions in actual time. As an alternative of leaping to Google Translate or struggling by way of 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 line 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 current survey signifies that whereas over 70% of language service suppliers have adopted conventional language applied sciences, AI instruments are shortly catching up. If all deliberate and present implementations proceed, AI-powered translation instruments will attain the identical stage of adoption. In reality, 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 help a number of languages with out an enormous raise.
Do you have to construct this in?
In case your product serves a worldwide viewers, or plans to, then sure. Language translation is among 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 knowledge quicker
As an alternative of digging by way of spreadsheets or operating complicated 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 mechanically. It’s a shift from static studies to dwelling, conversational analytics.
And the momentum behind this shift is very large. The worldwide AI in knowledge 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 could be for groups that depend on knowledge to maneuver shortly.
Supply: Adobe
Why add knowledge augmentation to your SaaS product
- Hastens decision-making: Helps customers go from query to reply without having an analyst.
- Will increase characteristic worth: Turns your dashboards and studies into actionable, user-friendly instruments.
- Helps non-technical groups: Gross sales, help, and advertising groups can all profit from prompt perception.
- Surfaces hidden patterns: AI can catch what people would possibly miss in giant datasets.
Do you have to construct this in?
In case your product collects any type of operational, behavioral, or efficiency knowledge, this is among the highest-leverage GenAI use instances to discover. Particularly useful for platforms with broad person bases or cross-functional knowledge wants.
6. Voice and video intelligence: Extracting insights from calls, conferences, and recordings
Voice and video conversations are a few of the richest sources of buyer perception — however traditionally, they’ve been arduous to trace, analyze, or share at scale. GenAI is altering that. As an alternative of counting on reminiscence or scattered assembly notes, AI-powered voice and video intelligence instruments can transcribe calls, summarize key factors, establish sentiment, and tag motion gadgets mechanically.
Whether or not it is a gross sales demo, a help name, or a group huddle, each dialog turns into a searchable, structured asset inside your product. A current 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 area 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 selections: Surfaces key themes, motion gadgets, and objections to information product, gross sales, and buyer success methods.
- Permits real-time help: Helps ship teaching suggestions or options throughout reside 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 way of name recordings.
Do you have to construct this in?
In case your product includes buyer calls, group collaboration, or service supply, completely. GenAI-powered voice and video intelligence offers you a approach to mine each dialog for insights, and use that knowledge to enhance workflows, teaching, onboarding, and extra. It’s notably useful in instruments for gross sales, help, 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 person help, embedded straight into the product expertise. As an alternative of opening a brand new tab or ready for a assist desk, customers can ask questions, get step-by-step steering, or troubleshoot points straight within the interface. These assistants pull from product documentation, assist facilities, data bases, and even previous person conduct to ship quick, related solutions.
The largest shift? These assistants aren’t simply passive chatbots. GenAI permits them to develop into proactive copilots, suggesting subsequent steps, highlighting options, and even finishing actions primarily based on pure language prompts.
It’s no shock that funding is rising quick. Nearly 51% of organizations are actively exploring AI brokers, and an extra 37% are already piloting them, signaling robust 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 characteristic 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 go away the product or anticipate help tickets.
- Reply questions with actual context: Use product knowledge to ship extra correct responses.
- Scale back onboarding time: Help customers with setup, steering, and suggestions in actual time.
- Scale your help: Deal with repetitive queries with out overloading your CS group.
Do you have to construct this in?
In case your product contains complicated workflows, a number of modules, or a steep studying curve, an in-product AI assistant could be actually useful. It meets customers the place they’re, adapts to their conduct, and lightens the load in your help 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 develop, so do the methods software program groups are placing them to work, usually in delicate 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:
- Good search and pure language queries: As an alternative of utilizing complicated 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 knowledge extra accessible throughout groups.
- Auto-tagging and classification: Whether or not it is help tickets, uploaded paperwork, or buyer information, AI can mechanically label and categorize entries primarily based on context. This helps cut back muddle, velocity up sorting, and enhance downstream workflows with out handbook enter.
- Studying path era: Onboarding is changing into smarter. Some SaaS platforms now generate personalised coaching sequences or tooltips relying on person conduct, function, or actions taken, guiding customers by way of the product at their very own tempo.
- AI-assisted workflow builders: As an alternative of dragging blocks or writing guidelines, customers can describe what they need in pure language (e.g., “Ship a reminder electronic mail if this kind is incomplete”), and the platform builds the logic behind the scenes.
- Kind and report turbines: From CRM exercise logs to invoices and challenge summaries, GenAI helps auto-fill repetitive fields or generate first drafts of studies. 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 this moment:
- Utilization-based pricing: Many SaaS platforms now cost primarily based on AI credit score utilization, for actions like producing textual content, summarizing transcripts, or creating pictures.
- Premium characteristic tiers: GenAI instruments are sometimes gated behind increased pricing plans, making them a pure upsell lever.
- Add-on modules: Some merchandise provide 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 could be offered per person or function, particularly in instruments with role-specific workflows.
- Freemium with AI watermarking: Free plans might provide 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 clients, distributors might provide fine-tuned AI fashions or integrations as a part of a customized enterprise settlement.
The AI edge: What trendy SaaS cannot afford to overlook
Let’s be clear: GenAI is not a novelty. It’s quickly changing into foundational to how customers interact with SaaS merchandise.
All through this piece, we’ve seen how high platforms are integrating GenAI to simplify onboarding, personalize experiences, floor insights, and automate repetitive duties. From AI assistants to sensible suggestions and real-time transcription, these options are shaping person expectations throughout industries.
And it’s not nearly higher experiences. Firms are discovering actual worth. They’re monetizing GenAI by way of 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 affirm that momentum is accelerating.
So in the event you’re constructing a SaaS product right this moment, the query isn’t whether or not it’s best to undertake GenAI. It’s how shortly you possibly can 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 people who don’t? It’s getting wider. And clients are already beginning to discover.
Now’s the time to construct what they’re anticipating subsequent.
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