Lindsay Rosenthal

Founder | Creator | Strategist | Building AI, Leaders, & Ideas That Move Markets

For sponsorships + booking + speaking: hello@cred.marketing
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I build AI, leaders, products, and ideas that move markets.

As a founder, creator, and strategist, I’ve taken products from concept to market, scaled sales engines, built teams, and created campaigns that drive both revenue and cultural relevance. Deeply integrating AI in every step of the way. 

My experience spans SaaS, AI, B2B, and beyond, working alongside the companies and executives shaping tomorrow’s most important industries. (Would love to work with yours!)

I operate where innovation meets execution. 
Blending the reach of a creator, the precision of a strategist, and the perspective of an AI founder who has built and scaled from the ground up. 

The result: content, campaigns, AI, and go-to-market strategies that cut through the noise and position brands at the forefront of their markets.

Founder

1 month of content in 1 hour

The playbook I use to see trends early:

(my unfair advantage going into 2026)

I’ve led top brand campaigns w/ some of the coolest companies.
And right now, I’m deep in planning mode for what’s next.

A huge focus for me is spotting where trends actually start.
Then plugging campaigns into those moments.
Cutting in while people are still deciding.

Cause this messy middle (where Q’s repeat, opinions clash, community hangs) is where the real signal lives.

That’s why Reddit for Business is ranking at the top for me right now.
I use Reddit to:

- uncover golden audience insight from authentic convos
- activate audiences before they’ve made up their minds
- carry signal all the way through the funnel without losing trust

One example: I used Reddit Pro keyword tracking to spot a pattern forming across multiple communities. That signal showed up weeks before it appeared on other platforms.

We shaped the campaign around that language. Message landed immediately. Performance followed.

My 2026 system looks like this:
listen first → identify repeated intent → shape the narrative → then distribute.

The real edge now isn’t louder marketing. It’s understanding people earlier andddd meeting them while they’re already deciding.

That’s the playbook I’m building around.

Reddit is such an unfair advantage.

You can even sign up here with Reddit Ads to earn $500 in ad credit when you spend $500!!

LINK: https://lnkd.in/ghXdVeB6

feeling overwhelmed with content for 2026?

it might not be a content problem
but an AI tool stack problem.

too many tools, tabs, workflows would drive anyone crazy.

more AI hasn’t made content better.
it’s made it heavier.

the best creators I know aren’t running massive stacks.
they’re using 4 tools max.

because fewer decisions means more brain space saved.

here’s the stack to simplify your workflows:

𝟭. 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗽𝗮𝗿𝘁𝗻𝗲𝗿
something to help you pressure-test ideas, structure thoughts, sharpen voice, get unstuck.

𝟮. 𝗼𝗻𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗼𝗿 𝗲𝗱𝗶𝘁𝗶𝗻𝗴 𝘁𝗼𝗼𝗹
used sparingly for clarity and flow.

𝟯. 𝗼𝗻𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗰𝗮𝗽𝘁𝘂𝗿𝗶𝗻𝗴 𝗶𝗱𝗲𝗮𝘀
catch thoughts fast!

𝟰. 𝗼𝗻𝗲 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺
a calendar, checklist, or light scheduler to help you stay consistent + intentional.

that’s it.
everything else is complexity disguised as productivity.

AI should reduce friction, not add it.

if your stack feels heavy, that’s the signal.
simplify!!

how to prevent scaling the wrong ideas:

(despite what AI tells you!)

AI is making bad ideas scale faster than ever.
but the problem isn’t AI’s.
it’s us hitting publish too fast.

something sloppy, half-baked, or just wrong can now reach hundreds, thousands, even millions, before anyone notices.

so how do you avoid amplifying mistakes?

pressure-test your thinking first.

here’s how:
1. slow it down
don’t hit publish right after generating a post.
take a breath. review. reconsider.

2. read it out loud
does it sound like you?
does it convey what you actually mean?

3. flip perspectives
what would a critic say? 
what would someone outside your industry think?
(critics aren’t the end-all, but can be worthy of thought)

4. share with another human
even one person spotting a gap can save you a lot of trouble.

your job isn’t to make more content.
it’s to make better content.

slow down.
pressure-test.
then scale.

I’m revealing my 3 layer storytelling strategy:

(copy my hack for better, more human outputs!!)

AI can generate words, but it can’t automatically tell your story the way your brand does.

to get consistent, on-brand output, teach the model your narrative in 𝟯 𝗹𝗮𝘆𝗲𝗿𝘀:

𝟭. 𝗰𝗼𝗿𝗲 𝗯𝗲𝗹𝗶𝗲𝗳𝘀
define the principles your brand stands for.

 • write 2-3 sentences describing your values.
 • prompt AI: “use these beliefs as the foundation for all messaging”
   example: “we believe marketing should build trust, not just clicks”

𝟮. 𝘀𝗶𝗴𝗻𝗮𝘁𝘂𝗿𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀
collect stories, case studies, or examples that capture your voice.

 • list 3-5 recurring stories or wins.
 • prompt AI: “reference these examples to illustrate points naturally”
   example: “highlight how brands scale with AI while keeping human creativity central”

𝟯. 𝘀𝗵𝗮𝗿𝗲𝗱 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲
document recurring phrases, terminology, and tone.

 • compile 5-10 phrases or words you always use.
 • prompt AI: “write content using this tone, language, and style consistently.”
   example: “always lowercase, concise, educational, with punchy takeaways”

𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲:

 1. feed all three layers to the model before generating content
 2. ask AI to produce the first draft
 3. review, tweak, and add new examples to refine outputs

the better you teach, the less editing you need.
and AI becomes a true storytelling partner.

everyone’s asking how to use AI for content in 2026.
but that’s not really the question.
the real advantage is knowing what AI can’t do.

AI can generate ideas but it can’t live the moment that led to them.

AI can summarize what happened but it can’t show the tension while it was happening.

AI can clean up copy but it can’t recreate the back-and-forth, the second guessing, the almost wrong call.

that gap is where the human opportunity is.
in 2026, the content that actually works will be more real.
really, truly, real.

what to share instead of generic AI content:
• the decision you went back and forth on
• the thing that didn’t work + why
• what surprised you this week
• how something actually got approved
• what you changed after seeing real results
• the part of the process you normally skip over
• your real personality and human-ness

so show the tradeoffs, constraints, the imperfect execution.
what makes us truly humans, all giving our best go at this.

bc people don’t trust you because you sound smart.
they trust you because they understand how you think.

AI will keep raising the baseline.
but ultimately humans still win on depth and being real.

The AI Workforce Academy | Building Enterprise AI Agent Capability

AI Teacher, Speaker, Consultant, Executive Workshops Host

I work with executives who are navigating real pressure around AI. Revenue expectations. Headcount questions. Speed. Risk. And the growing gap between what is possible and what is actually being delivered.

Before tools like ChatGPT made AI mainstream, I was implementing AI inside large organizations. In one deployment, AI driven initiatives exceeded a 90 million dollar annual sales pipeline target in just three months, reaching 115 million. 

That experience shaped the AI Impact Alignment™ process. It forces hard choices. What matters. What does not. What should be automated now. What should remain human. And how leaders stay in control while moving faster.

Today, I advise leadership teams, speak to executive audiences, and teach organizations how to make AI decisions that hold up under scrutiny. 

If AI feels both unavoidable and unclear inside your organization, you are asking the right questions.
________________________________________________________________

Partnerships@theashleygross.com for Brand partnerships and sponsorships

Ashley@aiworkforcealliance.com for AI strategy consulting, AI agents, and business process automation

Ashley@aiworkforceacademy.io for Speaking engagements, conferences, company offsites, and universities

Ashley Gross

I swear my five year old is better at marketing than I am, especially at dinner when he loves to tell elaborate stories to get out of eating his veggies.

Yesterday one of his anti-veggie rants started with him telling his dad that he was strong. Just not stronger than a T-Rex. Then he followed it up with a helpful suggestion. If you throw broccoli at a T-Rex you could probably win because everyone hates broccoli.

Did I let him get out of eating his greens after that pitch? Yes. Yes I did.

And because creativity deserves a bonus, I rewarded his imagination by turning his idea into his very own comic style coloring page using ChatGPT. 

Strong dad. Brave kid. Angry T-Rex. Weaponized broccoli.

Honestly no notes.

CEO & Founder x2 | Wiley Author 2026 | Building Enterprise AI Agent Capability

Charlie Hills 🦩 and I were talking about ChatGPT Atlas & Perplexity Comet

(Here’s what we noticed)

Both tools are impressive, but they shine in different ways:

→ Atlas 
Keeps all your conversation history in one place, making follow-ups easy.

→ Comet 
Lets you pick the best LLM for each task, from Perplexity to Gemini, giving ultimate flexibility.

→ Both 
Powerful for content, research, and experimentation, and yes, you can even try them for free.

We loved seeing how each tool approaches AI differently, it’s not about which is “better,” it’s about which fits your workflow.

Which one are you using, Atlas, Comet, or something else  and why?
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Your Team Has an AI Problem… 

(Or do they?)

I see this in almost every team.

Everyone talks about adding AI.

But the real issue isn’t whether you have AI… it’s whether your AI actually understands how your team works.

Because knowledge is scattered:

Tickets lost in Jira.

Docs buried in Drive.

Dashboards no one updates.

Slack threads no one remembers.

And one person who “just knows everything” They take a week off, and work slows everywhere.

That’s why I started using Rovo by Atlassian. An AI built directly into your Atlassian tools, powered by your team’s existing knowledge.

No model training.

No complex prompting.

No rebuilding context from scratch.

Rovo uses what already lives across Jira, Confluence, Slack, and more, and turns it into action.

Need answers fast?

↳ Rovo Search answers natural language questions and surfaces links from knowledge across all of your apps.

Stuck on a decision?

↳ Rovo Chat uses your internal context to summarize, brainstorm, and create tickets or pages (with your approval).

Repetitive work piling up?

↳ Rovo Studio lets you create agents and automations to handle everyday tasks and custom workflows without writing a single line of code.

After using it, I spend less time hunting for information and more time actually moving work forward.

Work flows better.

Decisions come faster.

And progress doesn’t depend on who’s in the office that day.

If you Rovo, you know. 

Explore Rovo here: https://bit.ly/4asYlhn

#AtlassianPartner #iyryk

AI Strategies to Grow Your Business | Featured in Forbes | Wiley Author AI Consulting, Courses & Keynotes ➤ @theashleygross

Ashley Gross, CEO of AI Workforce Alliance  in a professional setting. Text reads: "Stop Wasting Time Searching. Unlock AI-Powered Knowledge with Atlassian Rovo."

ChatGPT vs Claude isn’t about which is “better.”

(It’s about what you need it to do.)

Like most people, Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO® uses ChatGPT every day.

It’s the default.

But when he’s coding, that changes.

He reaches for Claude.

Not because ChatGPT is bad.

Not because Claude is “the future.”

Simply because, for him, Claude handles code better.

→ Cleaner logic.

→ Fewer rewrites.

→ Less back-and-forth.

That’s the part most AI debates miss.

It’s not about picking a winner.

It’s about picking the right tool for the job.

What’s your daily driver  and what job do you trust it with most?
___________________________
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Why AI Content Still Fails to Convert

(It’s not what most teams think)

I asked Audrey Chia a simple question:

What’s the one thing about AI that confuses clients the most?

Her answer wasn’t about prompts, tools, or platforms.

It was about expectations.

Many teams use AI to produce more content and assume results will follow.

More posts. More blogs. More output.

But volume doesn’t create traction.

In this conversation, Audrey breaks down why AI-generated content often underperforms and what actually changes when teams fix the strategy behind it.

If your AI content looks busy but isn’t driving results, this is worth watching.
___________________________
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Why Clay is More Than Just an AI Tool

(It works differently than you expect)

Clay is known for its sleek CRM features, automation, and flexibility, but the real value lies in how and where AI is applied.

I asked Jérémy Grandillon about his favorite tool with AI capabilities and why he values it. 

His answer? Clay.

Why Clay works for him:

→ It’s not purely an AI tool, but it lets AI enhance processes where it truly matters

→ AI is applied with precision, just the right dosage at the right moment

→ Its flexibility allows meaningful AI integration, not just flashy features

The magic isn’t having more AI, it’s using it smartly within processes that benefit from it.

Watch the full video and share your own takeaways in the comments!
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Your customers don’t see "channels." 

(They just see one conversation with your brand.)

For most businesses, that conversation is fragmented. 

SMS is in one tool, email in another, and voice sits on its own island.

In my consulting work, I see how this disconnect creates friction, especially in FinTech and Financial Services, where every interaction is a matter of trust.

If a customer gets a fraud alert but has to repeat their entire story when they call support, you’ve already lost their trust.

I’ve been looking through Sinch’s 2026 Predictions, and the takeaway is clear: 

The next two years aren't about sending more messages. They are about making those messages smarter and more secure.

As we look toward 2026, three shifts stand out for the financial sector:

1. Trust-first communication: 
→ With the rise of AI-driven fraud, verified and secure messaging isn't a luxury, it's a requirement to keep customers engaged.

2. The evolution of Voice: 
→ We are finally moving past rigid "Press 1" menus toward Voice AI that actually understands intent and responds in real-time.

3. Context over everything: 
→ If a customer starts a chat and moves to a call, they expect the history to follow them. Disconnected data is the biggest hurdle to a good experience.

I like that Sinch focuses on the technical infrastructure, global delivery and compliance so that teams can focus on the actual strategy.

The companies that win in 2026 will be the ones that make their communication feel unified and secure.

You can find the full 2026 Predictions Report here: https://lnkd.in/eDx2zUCr

#SinchPartner

Brand partnership • CEO & Founder x2 | Wiley Author 2026 | Building Enterprise AI Agent Capability

Ashley Gross, CEO of AI Workforce Alliance  with text overlay: "Are Your Messages Secure Enough to Build Trust?" Promotional graphic for Sinch partnership highlighting message security and brand trust.

AI Isn’t Confusing…

(Your Approach Might Be)

AI promises efficiency, insights, and smarter decisions, but many teams still find it confusing. 

Why? Because it’s not always clear how AI fits with existing tools, workflows, and day-to-day work.

That’s exactly what Jérémy Grandillon pointed out in our conversation.

He’s seen teams struggle when leaders try to overhaul everything at once. 

The real success comes when AI is integrated into processes your teams already use, so adoption happens naturally without forcing people to learn a completely new system.

How are your teams making AI work in practice? 
___________________________
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Struggling to create LinkedIn content that feels like you?

(It’s one of the biggest challenges creators face)

Even seasoned LinkedIn users hit the same wall: running out of authentic ideas, struggling to maintain tone, and repeating themselves across posts.

In my conversation with Charlie Hills 🦩, he shared a tool that changed the game for him: Stanley.

He explained how it:

→ Analyzes your profile and suggests content gaps or new ideas

→ Writes authentic posts on any topic without constant manual prompts

→ Scrapes all your previous LinkedIn posts to capture your voice, tone, and style

For Charlie, it became a ‘cheat code’ for LinkedIn, helping him post consistently, stay authentic, and save time.

Content creation doesn’t have to feel repetitive or exhausting.

Which tools are you relying on to keep your LinkedIn content fresh and authentic?
___________________________
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Automation Isn’t Just for Business Teams

(It’s quietly running your systems)

Most people still think workflow automation is just for marketing tasks or simple ops.

But behind the scenes, high-performing teams are using n8n to protect systems, process data, and keep platforms alive while everyone else sleeps.

In this infographic, I share 3 workflow ideas focused on technical and operational teams:

1. Cybersecurity: 
→ Automatically detect and block security threats in real-time, reducing response times.

2. Data Science: 
→ Extract and structure data from raw PDFs into databases without manual work, ensuring data sovereignty.

3. System Health: 
→ Monitor website paths and trigger "self-healing" scripts to fix outages, maintaining system uptime.

The common thread here isn't just speed. It’s control, reliability, and removing human bottlenecks from critical infrastructure.

This is what automation looks like when it supports your foundation, not just your productivity.

PS: If you missed Part 2 of n8n workflow automation ideas, here’s the link: bit.ly/49KxIm8

___________________________
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Infographic by Ashley Gross, CEO of AI Workforce Alliance titled 'n8n Workflow Automation Ideas Part 3,' featuring three use cases: Neville Noel for IT Security, Nora Notebook for Data Science, and Noah Nightshift for Web Development. Each case outlines the sector, industry, functional area, automation details, and success metrics, illustrated with relevant icons.

AI in Marketing is Getting Smarter

(It’s not just about automation)

Marketers are using AI to generate content, analyze trends, and save time. but the real edge comes from turning information into actionable insights quickly.

One of Audrey Chia’s favorite tools for this is NotebookLM.

With it, she can:

→ Generate summaries, briefs, or even audio podcasts

→ Upload videos, ebooks, and internal briefs to build a knowledge base

→ Ask questions to quickly understand new industries and craft better content

Curious how this turns hours of research into actionable marketing insights?

Watch the full video below.
___________________________
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Do all AI systems hallucinate?

(It depends on how you use them)

One of the most common AI myths Leonard hears is that every AI output is unreliable by default.

In my conversation with him, he clarified this well.

He pointed out that hallucinations are a real risk, but not all AI behaves the same way. 

Systems built with:

→ A narrowly defined use case

→ Clear boundaries on what they can and cannot do

→ Data-grounded approaches like retrieval-based generation

The likelihood of hallucinations drops significantly.

The problem isn’t AI itself. 

It’s how loosely or thoughtfully it’s applied. 

That’s where a lot of the confusion starts.

How do you ensure the AI tools you use are trustworthy and reliable?
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3 Ways Teams Are Quietly Using Zapier 

(And why it’s worth talking about)

One thing I keep noticing: Most teams don’t have a tooling problem. They have a handoff problem.

Leads arrive, but no one acts fast enough.

Support emails land, but ownership isn’t clear.

New hires start, but momentum stalls on day one.

What’s interesting is how some teams are fixing this, not by adding more processes, but by removing the gaps between steps.

Here are 3 Zapier use cases I see working well:

1. Lead management: 
→ Leads from ads or property forms go straight into the CRM and alert sales instantly. 
→ Response time drops, and nothing slips through because someone “didn’t see it.”

2. Support operations: 
→ Incoming tickets are tagged and routed to the right expert automatically. 
→ Fewer internal pings, faster resolutions, better CSAT.

3. People ops: 
→ Onboarding starts the moment someone is hired, welcome emails sent, first-day meetings scheduled, no manual chasing. 
→ Recruiters spend less time coordinating and more time hiring.

What stands out isn’t the automation itself.

It’s what teams choose to automate first: the moments where work usually stalls.

Curious how others think about this:

If you could remove friction from one handoff in your business, where would it be?

PS Stay tuned for part 2 of Zapier Workflow Automation Ideas!
___________________________
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Infographic by Ashley Gross, CEO of AI Workforce Alliance titled 'Zapier Workflow Automation Ideas Part 1' featuring three columns for different use cases. Each column includes sector, industry, functional area, automation function, and success measurement. Sectors are Marketing & Sales, Customer Support, and Operations & HR. Industries include Real Estate, Consumer Goods, and Consulting. 

Workflow Automation Isn’t Just About Saving Time

(Most teams miss the real impact)

Repetitive tasks, scattered data, and disconnected systems slow down even the smartest teams. 

The real question isn’t whether to automate, it’s how your workflows actually drive results.

In this infographic, we break down 3 ways teams are using n8n workflows to turn data into action:

→ Orchestrate complex data pipelines and AI agents

→ Capture and enrich leads, then personalize outreach

→ Monitor support channels and draft troubleshooting steps

These aren’t just time-savers. 

They help uncover hidden opportunities, scale impact, and make every workflow measurable.

Which of these workflows could transform how your team works?

PS Stay tuned for part 2 of n8n workflow automation ideas!
___________________________
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Diagram by Ashley Gross, CEO of AI Workforce Alliance titled "n8n Workflow Automation Ideas (Part 1)" showcasing three use cases: Technology & Data Engineering, Marketing & Sales, and Customer Support & Experience. Each use case is detailed with its sector, industry, functional area, automation process, and success metrics.

Are your best opportunities quietly slipping away?

(Here’s how teams make sure they never do)

Teams invest in marketing, sales, and product, but the small signals that actually drive growth often go unnoticed. 

A social mention, a repeat purchase, or a piece of customer feedback, these moments are gold, but they get lost in the noise.

Here’s how some teams use Zapier to capture them before it’s too late:

• Community & Marketing: 
↳ Automatically add high-intent users from social mentions to VIP email lists. Engagement rises, and no lead slips through.

• E-commerce & Retail: 
↳ Reward customers instantly when they hit key milestones. Loyalty grows and repeat purchases climb.

• Product & Development: 
↳ Collect app reviews and feedback into organized boards. Teams iterate faster, fix bugs efficiently, and keep product quality high.

It’s not just automation. It’s about acting on the moments that matter most. 

Small signals, when captured and amplified, become the difference between missed opportunities and measurable growth.

If you missed the part 1 of Zapier Workflow Automation ideas, here's the link:
https://lnkd.in/eP26FYBD
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An infographic by Ashley Gross, CEO of AI Workforce Alliance titled 'Zapier Workflow Automation Ideas (Part 2)' shows three columns labeled Zelda Zea, Ziggy Zenith, and Zara Zone, each with a sector, industry, functional area, automation description, and success measurement

What Sales and Marketing Teams are Missing?

(It’s not in plain sight)

Too often, teams rely on basic criteria like company size or job title, ending up competing for the same accounts at the same time. 

Insights that could give you an edge are scattered across tools or buried in unstructured data.

In my conversation with Jérémy Grandillon, he highlighted Claygent, his favorite feature in Clay, as a way to unlock insights that most teams simply cannot reach.

With it, you can:

→ Build, test, and iterate custom prompts risk-free to refine messaging

→ Pull context from Gong transcripts, Salesforce, or Google Docs to make smarter outreach

→ Research companies and people deeply, even from case studies or public web sources

These capabilities allow teams to find high-value prospects faster, personalize outreach with real context, and uncover opportunities that competitors might miss. 

No more guessing or working blind, every action is backed by data your team can actually use.

It’s not about AI doing tasks. It’s about uncovering information your team can act on.

How is your team finding insights that others overlook?
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Automation Is Quietly Becoming a Management Skill

(It’s no longer just an IT decision)

Most operational friction doesn’t come from complex problems.

It comes from simple processes repeated at scale.

Handoffs.

Approvals.

Status updates.

Microsoft Power Automate RPA is showing up in places where time, not talent, is the bottleneck.

This highlights a pattern I see often:

→ HR and finance lose time chasing approvals instead of making decisions

→ Sales slows down when quotes, documents, and systems don’t talk

→ Service teams struggle when requests live across inboxes and spreadsheets

RPA works best when it removes coordination work, not judgment.

The success isn’t the automation itself.

It’s the clarity and consistency it creates across teams.

Where do you see process friction showing up most in your organization?
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Infographic by Ashley Gross, CEO of AI Workforce Alliance, highlighting Microsoft Power Automate RPA use cases: professional services by Eddy Expneser, technology by David Dealer, healthcare by Sarah Server. Each column details the sector, industry, functional area, digital worker functions, and how to measure success. Emphasizes automation in HR, sales, and operations.

Could Your Workflows Do More Than Move Data?

(Most teams automate without unlocking real impact)

Too often, automation just moves tasks around. Workflows can do so much more when they generate insights, prevent mistakes, and create measurable results.

This infographic shows 3 ways n8n workflows are delivering impact:

1. Deploy AI agents to research competitors, summarize insights, and draft SEO-ready content

2. Monitor multiple warehouse systems to prevent stock-outs and maintain data parity

3. Automate compliance checks, cross-reference contracts, and capture previously unbilled revenue.

These aren’t just automations, they turn repetitive processes into actionable insights, scalable output, and operational confidence.

Want to see the first 3 workflow ideas? Check out Part 1 here: bit.ly/4bw6Fxe
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Infographic by Ashley Gross, CEO of AI Workforce Alliance titled "n8n Workflow Automation Ideas (Part 2)" featuring three columns for different use cases. Each column describes sectors, industries, functional areas, automation tasks, and success measures. 

Why UiPath Is Changing How Teams Work

(It’s not just automation, it’s precision)

UiPath isn’t about flashy tools, it’s about solving the repetitive, high-volume tasks that slow teams down.

In this infographic, you’ll see how it’s applied across different functions:

1. Finance  
↳ Invoice processing handled automatically, humans only handle exceptions. Faster approvals, fewer errors, lower cost per invoice.

2. Customer Service 
↳ Emails and tickets triaged and routed correctly, agents focus on solving problems, not sorting messages.

3. HR & Talent 
↳ Onboarding documents, payroll updates, and access requests synchronized automatically, reducing admin time and compliance risk.

UiPath works where it matters most, reducing friction, freeing teams to focus on high-impact work.

Which of these areas in your team could UiPath tackle first?
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Infographic by Ashley Gross, CEO of AI Workforce Alliance titled "UiPath RPA Top Use Cases." It highlights three use cases: Ivan Invoicer for professional services, Susan Supporter for telecom, and Trisha Talent for healthcare. Each section details the sector, industry, functional area, tasks of the digital worker, and success measurement metrics.

Why does “AI-powered” confuse so many companies?

(Here’s what I see with my clients every week)

Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO® asked me what confuses my clients most about AI. 

My answer: almost everything.

Many teams think adding AI makes their product instantly elite.

Almost every tool today has some AI component. It is no longer the differentiator.

Clients see “AI features” and get excited but rarely ask the right questions:

• Why was it added?

• What problem does it solve?

• How does it make the product different?

If your product says “powered by AI” but cannot show real impact, nobody gets the value, not customers, not your team.

The shift is simple: stop selling AI. Start showing impact.

Which outcome does your AI actually deliver?

taplio

The Battle

Lindsay Rosenthal

Ashley Gross

Followers

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Performance ScoreLindsay Rosenthal's LinkedIn Performance

Performance ScoreAshley Gross's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Lindsay Rosenthal

Ashley Gross

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Lindsay Rosenthal's LinkedIn Performance

Performance ScoreAshley Gross's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreLindsay Rosenthal's LinkedIn Performance