Fixing Clinical Burnout with AI
In this episode of The Brainiac Blueprint by Left Brain AI, Kyle sits down with Lauren Funaro, Content Marketing Manager at Freed, to discuss one of healthcare’s toughest challenges: clinician burnout.
At a time when many professionals are leaving medicine due to paperwork overload, Freed’s mission is refreshingly clear – use AI to reduce documentation, restore balance, and rebuild human connection in healthcare.
As Lauren puts it, “We’re not building doctors. We’re working with doctors – helping them spend less time clicking buttons and more time connecting with patients.”
Where It All Started: A Personal Mission to Give Time Back
Before Freed became one of healthcare’s most promising AI platforms, it began with something simple – a husband wanting to spend more time with his wife.
Freed’s founder built the company after watching his wife, a medical resident, spend long nights charting instead of resting. That frustration turned into a mission: build a tool that gives clinicians back their time.
Lauren says that story still defines the company’s culture today.
“Our whole value system is based on one question – ‘Is this going to benefit a clinician?’ If the answer is yes, that’s where we invest.”
That north star continues to guide Freed as it grows, shaping how it builds, markets, and measures success.
Rethinking AI’s Role in Healthcare: Efficiency Without Losing Empathy
When Kyle asked Lauren to finish the sentence “I think AI is…,” her answer captured Freed’s philosophy perfectly:
“I think AI is about making the work we care about easier – and making the work we don’t like to do disappear as much as possible.”
For clinicians, that means getting back the hours lost to admin tasks. Freed’s AI scribe eliminates tedious documentation, giving doctors and nurses more time for what really matters – patient care and personal well-being.
Lauren explained that many clinicians spend nearly 19 hours a week on notes and documentation, often after work hours. Freed’s technology now saves them millions of those hours – over 2.5 million since 2023 – without taking away their human touch.
“They love their patients, but they also love who they are outside of work,” Lauren said. “It’s our responsibility to help them do that without spending all their time staring at screens.
”Freed’s approach proves that AI doesn’t need to replace empathy – it can protect it.
How Freed’s AI Evolved from a Scribe to a Full Clinician Assistant
Kyle and Lauren then turned to how Freed is evolving. The company’s next phase goes beyond note-taking.
“Right now, we’re focused on the experience within the visit,” Lauren explained. “Next, we’re looking at how to support clinicians before the patient even walks in – and after they leave.”
With a $30 million Series A led by Sequoia, Freed is expanding into a full clinician assistant – helping with pre-charting, follow-ups, and seamless EHR (electronic health record) integrations.
The idea is simple: let AI handle the repetitive logistics so clinicians can focus on care. Lauren described the roadmap as “an evolution from a great scribe to a true right-hand assistant.”
And that vision ties back to Freed’s founding goal: not replacing doctors, but enabling them to thrive.
Marketing with Empathy: How Freed Builds Trust and Community
As Freed’s Content Marketing Manager, Lauren leads strategy for a growing community of more than 20,000 clinicians. Her focus isn’t on flashy growth hacks – it’s on trust.
Before joining Freed, she helped scale another SaaS company, Scribe, from 8,000 to 130,000 monthly visitors. Now, she applies those lessons with a different lens: storytelling that genuinely helps healthcare professionals.
“We’re a genuine PLG motion,” she said. “We speak to individual clinicians and small practices. Our content isn’t just top-funnel SEO – it’s lifecycle nurturing and education.”
Instead of relying on typical B2B platforms like LinkedIn, her team meets clinicians where they already are – inside niche Facebook groups, healthcare forums, and publications they read daily.
“Clinicians aren’t as active on LinkedIn,” Lauren explained. “So we go where they gather, listen to what they’re asking, and build resources that actually help.”
That strategy has turned Freed’s users into advocates – building a content ecosystem rooted in empathy, not ads.
Creating Depth Over Volume: Why Expertise Outranks Algorithms
When the conversation shifted to content quality, Lauren was direct:
“If you just use AI, it’s not going to perform well.”
She credits Freed’s visibility to E-E-A-T – expertise, experience, authority, and trustworthiness – and to collaborations with real clinicians. Every blog, article, and workflow guide pairs clinical accuracy with relatable storytelling.
“When I write about SOAP notes or charting, I work with real clinicians to show their actual templates,” she said. “It’s about making content that’s truly helpful.”
Freed’s internal blog, called “Note Bloat,” plays off a clinician term for overly long notes. The posts are intentionally short – two to three minutes – and deliver value fast.
The result? Content that earns credibility, not just clicks.
Turning Conversations into Actionable Content
Lauren doesn’t guess what clinicians need – she asks them. In her first year, she personally met with more than 50 clinicians to understand their workflows, pain points, and jargon.
“If I hadn’t spoken to them, we wouldn’t know what content works – or what doesn’t,” she said. “A single chat can lead to a blog, a demo, or even a product fix.”
That feedback often loops back into product development. When users highlight friction points, Freed’s marketing team passes those insights directly to engineering.
It’s content marketing that doesn’t just promote the product – it shapes it.
Where AI Fits – and Where It Doesn’t
Lauren made it clear that AI is a partner, not a replacement.
“People think AI on a marketing team means AI is writing everything. It’s not. What matters is figuring out where it’s actually useful and where it falls flat.”
At Freed, AI is used for analysis and efficiency, not storytelling. It helps identify gaps in content, generate summaries, and visualize data – but humans still write every final piece.
“AI gives me the foundation,” Lauren said. “Then humans layer in the expertise. That’s what makes content specific and valuable.”
That philosophy aligns with Freed’s product approach – automate what slows you down, but keep people at the center.
Protecting Privacy While Personalizing Care
When Kyle asked how Freed balances personalization with HIPAA compliance, Lauren didn’t hesitate.
“Security is fundamental. I can’t do anything if I’m not thinking about the safety of the user and their patient.”
Freed doesn’t touch patient data – it’s deleted after each use. What the team studies instead is interaction data: how clinicians use features, which tools they prefer, and where they encounter friction.
That insight helps shape product priorities – from pre-charting tools to post-visit instructions – while maintaining complete privacy.
“We’re not building doctors,” she emphasized again. “We’re working with doctors – and strengthening the administrative side so they don’t have to do it all themselves.”
It’s a model of ethical AI in action: personalization without compromise.
Empowering Humans Through AI Collaboration
As the discussion turned to the future, Lauren described how Freed’s internal hackathon led to one of her favorite innovations – an AI-powered trend-tracking system that monitors online conversations across healthcare forums.
“It’s 100 AI agents scanning the internet so we can spot new themes before they go mainstream,” she said.
The tool helps Freed stay ahead of emerging clinician topics long before they show up in search data – a perfect example of how AI can enhance creative instincts rather than replace them.
“Use AI to free you up for the fun stuff,” Lauren said. “That’s the goal.”
Looking Ahead: The Future of Content and Care
Lauren believes the next chapter of content marketing will go deeper, not broader.
“We’ll see a shift toward specificity, expert partnerships, and product integration,” she said. “It won’t just describe tools – it’ll explain workflows and real outcomes.”
That philosophy drives Freed’s plan to launch specialty-specific content hubs featuring real clinician workflows, templates, and case studies – practical assets, not just thought leadership.
The message is clear: depth and usefulness will define authority in the AI era.
Rapid-Fire Highlights
If you could snap your fingers and have a fully automated process or AI solution in place – what would it be?
“I might already have it with the hackathon – I wanted something that helps predict what’s coming, and I think we built it.”
Harder to perfect – headlines or visuals?
“Headlines can take forever because how do you distill something that’s going to catch attention? They see that first.”
Describe a crunch-time night before a big deadline.
“I have a cup of coffee and I’m crying – just kidding.”
“Usually, I’m refining copy with my team and sending it to my CMO, hoping she’s awake on the East Coast.”
Current social-media obsession?
“The musical Death Becomes Her on TikTok. Not useful to my marketing brain – but very fun.”
Beyoncé or Taylor Swift?
“Beyoncé, hands down.”
Built by and for Clinicians
Freed’s journey comes full circle – from a husband coding through the night to help his wife reclaim her evenings, to a global platform saving millions of hours for healthcare professionals worldwide.
Lauren summed it up best:
“If we can make clinicians’ lives better, we’ll always make that choice. That’s the win that matters.”
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Why Google’s AI Ads Are a Game-Changer for Marketers
The Search Engine That Sells Itself
Imagine Googling “best CRM for startups” and getting not just a list of links, but an AI-crafted recommendation tailored to your business needs—with a polished ad for HubSpot or Salesforce baked right into the response.
Welcome to Google’s new AI Mode.
This isn’t a minor tweak to the algorithm. It’s a full-blown paradigm shift. Google is reinventing how search works, and with it, redefining how ads appear, behave, and perform. This is Google going all-in on AI, and marketers better be paying close attention.
What Just Changed: Ads Now Live in Google’s AI Overviews
Google’s AI Overviews — those neat, chat-like summaries that answer queries directly at the top of the search results page — now include ads.
Yep, the ads have officially entered the chat.
Google recently expanded these placements:
- Ads now appear in AI Overviews on both mobile and desktop in the U.S.
- They’ll soon roll out to international markets later this year
- Advertisers can target these placements using Performance Max and other existing campaign types
These aren’t banner ads or static promos either. They’re contextually woven into AI-generated responses, offering solutions right where users are looking for answers.
Why It Matters Now: Engagement, Relevance, and Reach
Here’s the kicker: Over 1.5 billion users interact with AI Overviews every month, according to Google executives at I/O 2025 as reported by The Verge. That’s not just a stat—it’s a spotlight on how fast users are adopting this new search experience.
This means your ad’s new front row seat isn’t just prominent — it’s prime real estate. These AI responses often preempt traditional organic results, catching eyeballs early and often.
And since these ads are deeply contextual, they show up when the user is actively looking for a solution. That’s performance marketing gold.
For marketers, this means:
- Greater engagement rates from intent-rich audiences
- Smarter targeting via Google’s AI-enhanced delivery
- A new kind of SERP visibility that rewards relevance over rank
Google’s AI-First Future: The Bigger Picture
This isn’t just a new feature—it’s a signal flare from Mountain View: Google is now an AI company.
The rollout of AI Mode, powered by Google’s Gemini model, shows they’re betting the search farm on generative AI. This means:
- Conversational search becomes the default experience
- AI-generated content leads the discovery journey
- Organic blue links might take a back seat to curated AI answers
If you think this only impacts ads, think again. It reshapes the entire marketing funnel, from SEO and PPC to content strategy and attribution modeling.
What Marketers Should Do Right Now
Don’t just watch this happen. Get in the game:
1. Double Down on Performance Max
These campaigns now fuel AI ad placements. Use them to reach high-intent users across Search, YouTube, Discover, and now, AI Overviews.
2. Rethink Your Content Strategy
Start optimizing for answer-based queries, not just keywords. Structure content to solve problems fast and earn favor with AI summaries.
3. Test and Tweak Relentlessly
Use Google’s tools to track how your ads are surfacing in AI Mode. Then adapt. Fast.
4. Focus on Value, Not Just Clicks
These new placements are less about cheap traffic and more about brand alignment and trusted recommendations.
Bottom Line: This Is Not a Drill
Google just rewired the way people search — and how brands show up.
If you’re still playing by last year’s rules, you’re going to miss the new wave of performance marketing.
AI is no longer a buzzword. It’s the battleground.
Need help adjusting your strategy? Let Action Hero Marketing be your AI-sidekick. We’re helping SaaS and performance brands get ahead of the curve and in front of the clicks that count.
Ready to rewire your search game? Let’s talk.
How AI is Reshaping Lead Generation: 2025 Trends You Can’t Ignore
Let’s face it—lead generation as we once knew it is dead. Cold calls? Meh. Generic email blasts? Passé. Today, AI is running the show, and if you’re not riding the wave, you’re getting left behind. As we dive into 2025, Artificial Intelligence isn’t just a buzzword; it’s the strategic backbone of next-gen marketing. From predictive analytics to hyper-personalized content, AI is transforming how we attract, qualify, and convert leads. Here are the key trends you absolutely cannot afford to ignore.
The AI-Powered Lead Generation Landscape
So, what’s changed?
AI in lead generation means smarter targeting, faster responses, and more meaningful engagement—all at scale. According to recent studies, companies that adopt AI in sales see a 50% increase in leads and appointments. Traditional methods just can’t compete.
1. Hyper-Personalization at Scale
In 2025, spray-and-pray is out. Hyper-targeted messaging is in.
AI tools analyze behavioral data, CRM history, and real-time interactions to craft personalized campaigns that feel tailor-made for every prospect. Whether it’s an email subject line or a landing page offer, personalization at scale drives engagement through the roof.
Example: AI-driven platforms like Mutiny and Segment are helping brands deliver dynamic website content that changes based on who’s visiting.
Why it matters: Personalized experiences can boost conversion rates by up to 202%.
2. AI-Generated Content That Converts
No, robots aren’t replacing writers—but they sure are helping.
AI writing tools like Jasper, Copy.ai, and even ChatGPT are generating high-converting email sequences, social posts, and ad copy. The result? Faster content creation and consistent brand messaging across channels.
Pro Tip: Use AI to create first drafts or A/B test variations, then add your human touch for authenticity.
3. Predictive Lead Scoring
Not all leads are created equal. AI knows that.
Predictive analytics use machine learning to identify which leads are most likely to convert, based on patterns in your CRM, website behavior, and past deals. Say goodbye to manual scoring—this is smarter, faster, and way more accurate.
Impact: Sales teams get to focus on the leads that actually matter, improving close rates and cutting time-wasters.
4. Chatbots That Actually Chat
Forget the clunky bots of the past. AI-powered chatbots today are conversational, context-aware, and always-on.
Whether it’s Drift qualifying leads on your site or Intercom guiding a user through the sales funnel, these bots can handle the heavy lifting: capturing contact info, booking meetings, and even answering detailed product questions.
Stat to Know: Businesses using AI chatbots for lead gen see a 67% increase in qualified leads.
5. Seamless Multi-Channel Integration
Your prospects don’t live on just one platform, and neither should your outreach.
AI connects the dots between email, social media, live chat, paid ads, and even voice assistants, creating one seamless journey for your audience.
With tools like HubSpot and Salesforce Einstein, marketers can deliver consistent, personalized messages wherever the lead is hanging out.
Bonus: AI helps time your messages perfectly based on when a lead is most likely to engage.
6. Smarter, Safer AI: Ethics & Data Privacy
With great power comes… a lot of compliance paperwork.
Increased reliance on AI means marketers must be laser-focused on data ethics and privacy. From GDPR to California’s CCPA, 2025 is all about transparent AI use, data consent, and eliminating algorithmic bias.
What to do:
- Choose AI tools with strong privacy safeguards
- Be clear about data collection practices
- Regularly audit for fairness and accuracy
Real Talk: Challenges Still Exist
AI isn’t plug-and-play. It takes strategy, training, and alignment between marketing and sales.
Common hurdles:
- Integrating new tools into existing tech stacks
- Ensuring human oversight to avoid “robotic” interactions
- Balancing automation with authenticity
But the ROI? Worth every bit of effort.
The Road Ahead
Looking beyond 2025, we’re talking about real-time intent data, emotional AI (yes, that’s a thing), and voice search optimization being powered by AI models. Staying ahead means staying curious.
One thing’s for sure: AI isn’t the future of lead generation. It’s the now.
Final Thoughts
The AI revolution in lead gen is here, and it’s changing the game. If you’re still relying on outdated tactics, it’s time to upgrade your playbook. Embrace AI not just as a tool, but as your co-pilot in crafting smarter, faster, and more human marketing.
Need help implementing AI in your lead gen strategy? That’s where we come in. Contact Action Hero Marketing and let’s build your future-facing funnel, together.
