Beyond the Hype: How AI is Redefining Brand Architecture with Caroline Rothwell Gerstein

Posted on July 21, 2026 by florencekigehi — Leave a comment

Is your business AI-native, AI-assisted, or building an agentic layer? Discover why true branding isn’t about output it’s about human judgment and trust at scale.

In a landscape dominated by rapid technological shifts, understanding the true intersection of brand identity and automation is crucial for long-term survival.

We sat down with Caroline Rothwell Gerstein founder of Caro Marketing / CRO Consulting, brand architect, and fractional CMO to unpack how artificial intelligence is fundamentally changing the way we scale businesses and engage audiences.

With over two decades of experience building early e-commerce infrastructure for disruptive brands, Caroline offers a refreshing, grounded perspective on the current AI wave.

Rather than viewing AI as a simple yes-or-no question, she breaks down the three distinct paths a company can take: becoming AI-native, AI-assisted, or deploying an agentic layer.

The Judgment Paradox
A critical mistake many modern leaders make is attempting to automate the soul of their company.

While AI completely industrializes the mechanical side of marketing such as AB testing, complex segmentation, and content variation it leaves the second half of the equation entirely untouched.

Taste, deep discernment, and core character remain exclusively human traits.

True brand scaling relies on knowing which data patterns to trust and which signals to ignore when making high-stakes commercial decisions.

The Silent Killer of Growth
Many founders frequently mistake their internal origin story for their market story.

While the passion behind building a product matters internally, everyday consumers do not purchase historical narratives; they purchase concrete outcomes.

Shifting the marketing lens from “why we started” to “why this matters to the user” is the core driver behind category-defining companies.

This clarity allows emerging brands to build deeper, localized trust in a noisy, crowded marketplace.

The Future of Ambient Commerce
Looking ahead over the next five years, the traditional concept of launching a marketing campaign will begin to feel completely outdated.

As agentic workflows begin to dominate web traffic, AI will handle the constant, real-time work of matching messages to specific consumer moments.

Marketing will morph into an ambient layer, making clean data structures and authentic human craft the ultimate competitive advantages.

The winning companies will be those that use technology to express truth faster, rather than simply producing cheaper content variants.

Listen to the Full Interview

Connect with the Guest

To learn more about Caroline’s strategic frameworks, visit the official website at Caro Consulting: https://caro.consulting/

You can also subscribe to her industry deep dives via her Substack, Threads of the Future, and stay connected with the team by following Caro Marketing on LinkedIn: https://www.linkedin.com/company/caro-marketing/

Tagged with: , , , , , , , ,
Posted in AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized

The Rise of Agentic Commerce: Are AI Agents Your Next Biggest Customers?

Posted on June 30, 2026 by florencekigehi — Leave a comment

As e-commerce continues to scale rapidly across North America and Europe, the way digital transactions occur is about to undergo a fundamental transformation.

We are moving beyond traditional human-driven shopping into the realm of “Agentic Commerce” a future where AI agents don’t just recommend products, but actively handle the entire customer journey from discovery to purchase.

On a recent episode of the Aiscento Podcast, AI-powered performance marketing expert Kim Reynolds shared her insights on how agentic commerce will disrupt the digital marketplace and how brands can prepare.

What is Agentic Commerce?

In practical business terms, agentic commerce refers to an ecosystem where an AI agent researches products, evaluates brands, and eventually completes transactions on behalf of the consumer.

While humans will still engage in “retail therapy” for the fun of shopping, AI will increasingly handle recurring purchases and consumable goods.

Reynolds predicts that mainstream adoption of this technology could become a serious reality in as little as six months.

The primary missing piece holding it back right now is standardized secure payment handling for AI agents.

Preparing Your Store for AI Buyers

For small and mid-sized e-commerce brands, agentic commerce actually levels the playing field against massive enterprise competitors.

If you put in the legwork to make your store “agentic ready,” AI will recommend your products regardless of how big your marketing budget is.

How do you get ready?

It all comes down to structured data.

Platforms like Shopify are currently on the bleeding edge of this transition.

Simply toggling on their commerce features automatically builds out much of the necessary product schema.

The Takeaway

The future of e-commerce isn’t just about selling to humans; it’s about making your brand logically appealing to algorithms.

By focusing on detailed product descriptions, reliable inventory data, and robust schema markup, you ensure that when an AI agent goes shopping for its owner, your products are the ones going into the cart.

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: Youtube

#FounderStories #TechStartups #AiscentoPodcast #VC #Scaleups #AIInnovation #AgenticCommerce #EcommerceGrowth #ArtificialIntelligence

Tagged with: , , , , , , , , , ,
Posted in Agile, Agile Teams, AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized

From Agile Compliance to Modern Adaptability

Posted on June 30, 2026 by florencekigehi — Leave a comment

Over the last few years, a quiet exhaustion has settled over enterprise transformation communities. Many veteran consultants are actively dropping the word “Agile” from their professional vocabularies entirely.

The term has grown corporate, rigid, and tired.

Organizations became so completely obsessed with framework compliance checking boxes, tracking velocity metrics, and enforcing ceremonies that they entirely lost sight of the original goal: building a business that can pivot instantly in the face of disruption.

Now, as AI and quantum computing threaten to rewrite the corporate landscape, true adaptability is making a fierce comeback.

The Sovereign Value of Human Judgment

If a machine can compile a market report, parse a balance sheet, or build a functional app prototype in under ten minutes, where does a human leader provide a competitive advantage?

The answer lies entirely in contextual judgment and analytical skepticism.

AI operates strictly on historical data; it can predict patterns based on the past, but it cannot navigate unprecedented global events, understand human workplace dynamics, or apply creative reason to highly sensitive business constraints.

The AI Analytical Loop
1. System generates data-driven output.
2. Human applies contextual judgment.
3. Human challenges the model: “Explain your data and logic.”
4. Result: Verified, strategic action.

The most capable leaders in this new paradigm are those who treat AI as a volatile asset that requires rigorous audit loops. They don’t blindly accept what a model spits out; they demand to know the exact data and methodology used to reach that conclusion.

Managing the Volatility of Change
True agility in the machine age requires extreme fiscal and strategic discipline.

AI tools are not free; token costs stack up rapidly, and massive enterprise integrations can quickly bleed capital if left unmanaged.

As technology shifts at an exponential rate, long-term five-year strategic roadmaps are officially dead.

The companies that win won’t be the ones holding on tightly to rigid, decades-old process frameworks.

They will be the deeply adaptable organizations that protect their human core, ruthlessly manage their technology costs, and confidently rewrite their business models every six months.

Join the Aiscento Community
1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: Youtube

#FounderStories #TechStartups #AiscentoPodcast #VC #Scaleups #AIInnovation

Tagged with: , , , , , , , , , , ,
Posted in Agile, AI, Artificial Intelligence, Uncategorized

The AI-Enhanced Executive: What to Delegate and What to Protect

Posted on June 24, 2026 by florencekigehi — Leave a comment

As artificial intelligence moves from theoretical potential to practical application, executives face a critical strategic question: What should be handed over to algorithms, and what must remain firmly in human hands?

During his recent appearance on the Aiscento Podcast, strategic business advisor Cary Prejean broke down the realities of AI delegation for modern enterprises.

While AI is poised to become the ultimate virtual assistant for the C-Suite, leaders must understand its limitations to utilize it effectively.

What You Should Delegate Immediately

AI excels at rapid assimilation, data processing, and repeatable tasks.

Prejean recommends that organizations immediately start exploring AI integration for:

Financial Analysis: AI can ingest complex monthly financial statements and spit out detailed ratio analyses and industry comparisons in under five minutes a task that historically took human analysts hours.

Customer Service and Scheduling: Modern AI agents can cross-reference buyer history, answer nuanced questions with infinite patience, and seamlessly schedule appointments 24/7 without ever dropping the ball.

Inventory Management: AI is perfectly suited to monitor stock velocity, alerting leadership to slow-moving inventory that needs to be liquidated and recommending high-velocity items to restock.

The Boundary of Human Judgment

Despite these incredible capabilities, Prejean is adamant that AI will not replace the core functions of a CEO, CFO, or COO anytime soon.

Why?

Because AI lacks contextual human judgment.

AI can present a mathematical choice between Option A and Option B, but it cannot weigh the ethical implications, assess the impact on corporate culture, or navigate nuanced human relationships.

True leadership requires making value judgments that align with an organization’s deeper mission, something an algorithm simply cannot replicate.

How to Start in the Next 30 Days

If you are feeling overwhelmed by the rapid pace of AI, the worst thing you can do is freeze.

Prejean’s advice for the next 30 days is simple: don’t panic, but don’t hide.

Assign a trusted member of your leadership team to start researching how AI can solve your organization’s biggest, most specific bottleneck.

Dip your toe in, clean up your underlying data, and start experimenting.


Join the Aiscento Community

Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: Youtube

#FounderStories #TechStartups #AiscentoPodcast #VC #Scaleups #AIInnovation #FutureOfWork #CSuite

Tagged with: , , , , , , , , , ,
Posted in Agile, agile business, AI, AIScento, Artificial Intelligence, Uncategorized

Stop Automating Chaos: Why Your AI Strategy Needs a “Well-Oiled” Foundation

Posted on June 24, 2026 by florencekigehi — Leave a comment

In today’s hyper-competitive corporate landscape, leaders across North America and Europe are rushing to implement artificial intelligence.

The promise of massive productivity gains is incredibly alluring.

However, layering advanced AI tools over a broken, reactive operational framework is a recipe for disaster.

On a recent episode of the Aiscento Podcast, veteran CPA and strategic business advisor Cary Prejean warned against the dangers of “automating chaos” and outlined exactly how to build a foundation that is truly ready for AI integration.

The “Founder Bottleneck”

Before an organization can innovate, it must honestly assess its current state.

Prejean notes that most businesses eventually stall because the founder or CEO becomes the ultimate bottleneck.

When every decision must pass through one person, growth stops, and the company enters chronic “firefighting mode.”

You cannot successfully deploy AI if your organization relies entirely on heroic interventions from leadership rather than established systems.

The Three Pillars of a Well-Oiled Machine

To move away from bottlenecks and prepare for next-generation automation, leaders must establish what Prejean calls a “well-oiled machine.”

This requires three non-negotiable pillars:

Documented Processes: Every critical function must have a standardized, documented step-by-step process.

If employees are constantly guessing how to do their jobs, AI will have no clear parameters to operate within.

Actionable Financial Data: Managing by your “gut” or your checking account balance is obsolete.

Leaders need consistent Key Performance Indicators (KPIs) and regular financial ratio analyses to track liquidity, profitability, and efficiency.

Future-Focused Design: The CEO must declare a crystal-clear vision of what the company will look like in 5 to 10 years.

Clarity eliminates the distraction of chasing every shiny new technological object.

Making AI Work for You

Once your core processes are documented and your data is clean, AI becomes an incredible accelerator.

For example, instead of a manager spending hours drafting standard operating procedures (SOPs), they can feed rough employee notes into an AI agent to instantly generate comprehensive training manuals.

AI can also digest monthly financial statements in seconds, providing a detailed ratio analysis compared to industry standards.

But remember: AI is an amplifier.

If you feed it clean data and strong systems, you get a scalable enterprise.

If you feed it disorganization, you just get faster chaos.

Join the Aiscento Community

Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: Youtube

#FounderStories #TechStartups #AiscentoPodcast #VC #Scaleups #AIInnovation #BusinessStrategy #ExecutiveLeadership

Tagged with: , , , , , , , , , ,
Posted in Agile, AI, AIScento, Artificial Intelligence, Uncategorized

The ROI of Somatic Intelligence: Unlocking Executive Clarity in the AI Era

Posted on June 24, 2026 by florencekigehi — Leave a comment

When we discuss the future of corporate leadership, the conversation is heavily dominated by data analytics, automation strategies, and machine learning integration.

However, as AI handles more of the analytical and repetitive work, uniquely human capabilities like intuition, empathy, and nervous system regulation are becoming an organization’s ultimate competitive advantage.

Dr. Carley Corrado, a former PhD scientist in chemistry and physics turned leadership transformer, joined the Aiscento Podcast to explain why concepts like “somatic intelligence” are no longer just wellness buzzwords.

They are foundational requirements for executive clarity.

The Problem with the “Floating Mind”

Many executives operate as “floating minds,” entirely disconnected from their physical bodies and operating strictly on cognitive overdrive.

This disconnect is dangerous.

According to Dr. Corrado, tension, unaddressed conflict, and the sheer volume of modern information overload live within the nervous system.

When an executive team lacks cohesion or carries unresolved interpersonal “ick,” it ripples down through the entire company.

It forms “eddy currents” whirlpools of wasted energy where projects stall, engagement drops, and top talent leaves.

Composting the Past to Build the Future

One of the most powerful tools Dr. Corrado introduces to analytical leaders is the concept of “composting.”

This involves doing the deeper work to recognize and release internal triggers and biases that dictate poor decision making.

Expand Your Range: By engaging in somatic practices (like intentional breathwork or taking deliberate space to process frustration), leaders can shift out of reactive, fear based responses.

Access Direct Intelligence: Quieting the “default mode network” (the brain’s inner critic) allows executives to tap into profound, unforced creativity.

Often, the solutions to complex organizational problems arrive not from staring at a spreadsheet, but from accessing an open, flow state mind.

Incorporate AI into Wellness: You can actually use AI to support your state of being.

Executives can prompt AI to help them structure daily workflows that protect their creative time, or even ask it for quick, three minute reset exercises between intense meetings.

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: Youtube

#ExecutiveCoaching #LeadershipSkills #TechStartups #AiscentoPodcast #SomaticIntelligence #AIInnovation #BusinessGrowth

Tagged with: , , , , , , , , , ,
Posted in Agile, AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized

Why AI Efficiency is Causing Burnout (And How “Flow State” Leadership Fixes It)

Posted on June 24, 2026 by florencekigehi — Leave a comment

In the modern enterprise, artificial intelligence is massively accelerating the speed of work.

Every week, new models and tools are released that promise to make teams faster, leaner, and more productive.

Yet, for many organizations, this relentless acceleration isn’t resulting in breakthrough innovation, it’s resulting in information overload, nervous system burnout, and declining employee engagement.

On a recent episode of the Aiscento Podcast, Dr. Carley Corrado, founder of Enliven Leadership, shared a critical perspective: successful AI transformation is not just about adopting new technology; it’s about transforming the human environment to handle that technology.

The Cost of the “Vigilance” State

When technology outpaces human adaptation, teams often enter what Dr. Corrado refers to as a “vigilance state.”

Instead of feeling inspired and creative, employees operate from a baseline of stress and survival.

When your workforce is stuck in a high stress “beta brainwave” state, trying to frantically keep up with endless AI generated outputs, they cannot access the deeper creativity required for strategic problem solving.

This vigilance state inherently caps an organization’s potential because decisions are being made from anxiety rather than clarity.

Redefining High Performance Through Flow State

To counter this, Dr. Corrado advocates for “Flow State Leadership.”

This isn’t about pushing teams to work harder; it’s about creating an ecosystem where people feel psychologically safe to share their perspectives and “empty out” the noise.

How can leaders build this?

Prioritize Radical Clarity: Before asking AI to solve a complex problem, leaders must do the pre work.

Define the exact intention, the underlying “why,” and the metrics for success.

If you apply AI to a chaotic system, you just get faster chaos.

Democratize Information: High performance comes from the ground up.

When launching new AI initiatives, organizations must take the time to gather input from across the team, not just the executive suite.

Transparency builds the trust necessary to weather disruptive change.

Regulate the Collective Nervous System: Incorporate simple, human centric check ins.

Taking moments to celebrate wins, share genuine gratitude, or clear up small interpersonal tensions saves massive amounts of lost momentum down the line.

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

#FutureOfWork #LeadershipDevelopment #TechStartups #AiscentoPodcast #FlowState #AIInnovation #MentalHealthInTech

Watch the Full Video: https://youtu.be/EVJL5fdJs9M

Tagged with: , , , , , , , , ,
Posted in Agile, AI, AIScento, Artificial Intelligence, Auspicious Agile, Business Agility, Uncategorized

Why Traditional SEO Isn’t Enough: The Shift to Answer Engine Optimization (AEO)

Posted on June 24, 2026 by florencekigehi — Leave a comment

In today’s fast paced digital economy, Western brands and global enterprises are facing a massive shift in how customers discover products.

The days of relying solely on traditional SEO to capture human searchers are ending.

Instead, we are entering the era of Answer Engine Optimization (AEO), where AI bots are increasingly the ones evaluating and recommending your business.

In a recent episode of the Aiscento Podcast, digital strategist Kim Reynolds broke down exactly why traditional SEO is no longer enough and what businesses must do to remain visible.

The Evolution from SEO to AEO

For years, businesses have optimized content for human reading and search engine keyword matching.

However, as AI systems like ChatGPT, Claude, and Perplexity become primary discovery tools, the customer journey is changing.

According to Reynolds, the biggest difference in this new landscape is that AI bots cannot inherently read your content unless it is structured properly for them.

While AEO doesn’t replace SEO, good AEO is actually built on a foundation of strong SEO, and it adds a critical new layer to your digital strategy.

Schema: The Language of AI Bots

If there is one technical upgrade your business needs immediately, it is schema markup.

Schema is the structured data that tells AI exactly what your business is, what you sell, and the specific attributes of your products.

When AI agents are looking for a product to recommend, they don’t care how beautiful your website design is.

They look for hard data: dimensions, materials, inventory status, and shipping policies.

If your product descriptions and backend attributes are weak, your discoverability disappears entirely.

Stop Hiding from the Future

The most common mistake businesses are making right now is simply ignoring this shift because it sounds complicated.

But the businesses that take the time to set up organizational, service, and product schema today are the ones that will be successfully recommended by AI tomorrow.

Watch here :

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: https://youtu.be/CuHOiIxlKr4

#FounderStories #TechStartups #AiscentoPodcast #VC #Scaleups #AIInnovation #AnswerEngineOptimization #DigitalMarketing #SchemaMarkup

Tagged with: , , , , , , , , , ,
Posted in Agile, AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized

Why AI Won’t Fix Your Broken Sales Process: Getting Back to Fundamentals

Posted on June 24, 2026 by florencekigehi — Leave a comment

Every day, business feeds are flooded with the latest promises of AI powered revenue growth: AI SDRs, automated outreach, predictive forecasting, and intelligent call analysis.

Yet, despite massive investments in these cutting edge technologies, many organizations still struggle to consistently hit their revenue targets.

In a recent episode of the Aiscento Podcast, Mark Kesti, President and Chief Revenue Officer of Innovo Sales, joined the show to deliver a hard truth to growing enterprises: AI is a powerful accelerator, but it cannot replace fundamental sales strategy, leadership, and process discipline.

The “Shiny Object” Trap

When sales stall, leaders often look for a quick technological fix.

However, as Kesti points out, if you do not have an existing, repeatable, and scalable sales operating system, adding artificial intelligence will simply speed up the time it takes to uncover your foundational gaps.

AI deployed over a bad process just creates bad results faster.

Before investing in AI automation, organizations must establish a solid foundation.

A highly defined Ideal Customer Profile (ICP): Being “an inch deep and a mile wide” is the kiss of death for B2B companies.

You must narrow your focus to specific targets before you try to scale outreach.

A documented, repeatable buyer journey: You need to know exactly what a best in class discovery call looks like, what the typical objections are, and the specific actions required to move a deal from one CRM stage to the next.

Effective coaching: AI can analyze calls, but consistent, one on one human coaching from a sales manager remains one of the most reliable ways to increase sales performance.

CRM Discipline is Non Negotiable

You cannot leverage AI effectively without clean data.

CRM discipline is vital, but getting compliance from a sales team is notoriously difficult.

To fix this, your CRM must be configured to do two specific things: help salespeople sell more products and decrease their sales cycle times.

When stages are strictly defined so a deal isn’t moved to “Proposal” until the proposal is actually presented the data becomes clean.

Once the data is clean, you can accurately measure predictive metrics like pipeline velocity and use AI agents to generate actionable, real time dashboards.

The Takeaway

AI is not a panacea for missed quotas or reactive sales teams.

Build a rock solid, well managed sales foundation first.

Once you know exactly what works, you can unleash AI to turbocharge those actions and give your sales professionals more time to do what AI can’t: build human trust.

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch the Full Video: https://youtu.be/Vs_ezS9SH14

#B2BSales #RevenueGrowth #TechStartups #AiscentoPodcast #SalesStrategy #CRM #AIInnovation #SalesLeadership

Tagged with: , , , , , , , , , ,
Posted in Agile, AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized

Scaling Beyond Founder-Led Sales: How to Institutionalize Tribal Knowledge Using AI

Posted on June 24, 2026 by florencekigehi — Leave a comment

One of the most common hurdles for growing tech companies and professional services firms across North America and Europe is the transition from founder led selling to a scalable revenue engine.

The CEO built the business, knows the product inside and out, and can overcome any objection.

But when it comes time to scale, handing a new hire a product deck and saying “just do what I do” is a recipe for disaster.

On the latest Aiscento Podcast, Mark Kesti of Innovo Sales explained how organizations can utilize artificial intelligence to extract critical tribal knowledge from the founder’s head and build a repeatable sales playbook.

The Problem with “Heroic” Selling

In many scaleups, early revenue is driven by heroics, usually the founder or a couple of superstar early employees carrying the entire quota.

The founder has had hundreds of discovery meetings.

They know exactly how to read a room, what competitors to watch out for, and the hidden value their product provides.

No new salesperson will ever naturally match that level of intuition.

Extracting Knowledge with AI

The solution isn’t to hope your new hires figure it out; it’s to institutionalize the founder’s experience.

AI makes this faster and easier than ever before:

Interview and Record: Record casual conversations with the founder walking through specific stages of the sales process.

Ask them how they handle discovery, how they pitch the unique value proposition, and how they overcome the most common rejections.

Generate Playbooks Automatically: Feed these transcripts into Large Language Models (LLMs) like Claude or ChatGPT and prompt the AI to distill the conversations into structured, best in class sales playbooks.

Create Interactive Knowledge Bases: Take your existing legacy documents, the new AI generated playbooks, and competitive intel, and organize them into a clean repository.

The End of the “Time Suck”

By layering an AI agent (like Microsoft Copilot) over your clean document repository, you instantly build a self serve enablement engine.

Instead of a new account executive having to interrupt a manager to ask a question about a process, they can simply ask the AI agent in natural language.

The AI instantly retrieves the exact, best in class answer based directly on the founder’s original strategies.

When you capture tribal knowledge and make it instantly accessible, you stop relying on sales heroics and start building a predictable, scalable growth machine.

Watch here:

Join the Aiscento Community

1️⃣ Listen: Hear from other innovators cutting through the noise: Aiscento Playlist

2️⃣ Discover: See the platform we are engineering: Aiscento Platform

Join our professional ecosystem on LinkedIn: Aiscento LinkedIn

Watch full video here: https://youtu.be/Vs_ezS9SH14

#FounderStories #Scaleups #AiscentoPodcast #VC #TechStartups #SalesEnablement #ArtificialIntelligence #BusinessGrowth

Tagged with: , , , , , , , , ,
Posted in AI, AIScento, Artificial Intelligence, Auspicious Agile, Uncategorized
Categories