We asked industry experts to share one creative or unconventional way they leveraged automation in their business that yielded positive results — and what made the approach unique. Learn how these groundbreaking techniques are enhancing efficiency, driving growth, and reshaping the future of work.
- Automate Lead Flow for Real-Time Sales
- AI-Driven Data Analysis Enhances Human Intuition
- Auto-Summary Engine Speeds Up Proposal Process
- Engineering-Driven Nonprofit Scales Healthcare Funding
- Predictive Narratives Revolutionize Client Reporting
- Real-Time Analytics Drives Strategic Management
- Emotion-Focused Automation Improves Student Retention
- Personalized Follow-Ups Enhance Candidate Experience
- AI Matches Writers to Client Briefs
- Streamline SEO Content Creation with AI
- AI Agent Initiates Recruiting Process
- Hourly Live Reports Drive Company Performance
- AI Sentinel Monitors Broker Risk
- Continuous Automation Aligns Cloud Infrastructure
- Competitor Intelligence Automation Identifies Opportunities
- Website Visitor Tracking Reveals Buying Signals
- Internal AI Assistant Boosts Team Performance
- Automation Elevates People in Education
18 Creative Uses of Unconventional Automation
Automate Lead Flow for Real-Time Sales
One creative and highly effective way we leveraged automation was for an auto dealership in Poland, where we built a custom workflow that connected Facebook Lead Ads directly to Google Sheets via n8n — an open-source automation platform. This eliminated manual lead processing and created a near real-time response system that significantly improved sales follow-up and conversions.
The dealership was running Facebook Lead Ads to promote used cars, but the leads were landing in Facebook’s native interface. Sales reps had to manually download them, often with delays of several hours — or worse, days. By the time they followed up, many leads had already moved on or bought elsewhere.
We set up a workflow using:
- Facebook Lead Ads to capture user data (name, phone number, car interest)
- n8n to act as the integration hub
- Google Sheets as the central lead tracker, updated in real time
Whenever a new lead came in, n8n automatically:
- Pulled the lead data from Facebook Ads
- Cleaned and standardized the fields
- Pushed the data to a Google Sheet shared with the sales team
- Triggered an email + SMS notification to the assigned rep
- Created a follow-up task in their CRM if integrated
Instead of relying on paid tools like Zapier (which can get expensive at scale), we used n8n as a fully self-hosted, cost-effective automation engine tailored to the client’s infrastructure.
We also added logic to:
- Assign leads based on the car brand selected
- Flag duplicate entries
- Automatically add UTM parameters to track ad performance by car model
The Results:
- Response time dropped from hours to under 5 minutes
- Lead-to-sale conversion increased by 22% in the first month
- Sales reps became more efficient, focusing only on fresh, high-intent prospects
- The dealership had better visibility on ad performance and lead quality
This approach shows that automation isn’t just about saving time — it’s about creating a seamless experience between marketing and sales. By customizing the flow with n8n and connecting it to tools the team already used (Google Sheets), we built something scalable, cost-efficient, and incredibly effective.
Maksym Zakharko
Chief Marketing Officer / Marketing Consultant, maksymzakharko.com
AI-Driven Data Analysis Enhances Human Intuition
Most people think automation means “set it and forget it.” That’s dead wrong.
One unconventional move we made was combining AI-driven data analysis with human intuition in real time. Our proprietary sales platform is informed by extensive data from millions of sales emails, buyer intent signals, and years of campaign insights.
It helps our representatives craft outreach and tailored messaging across email, LinkedIn, and calls, all fine-tuned for the Ideal Customer Profile (ICP) and buyer persona. Not generic copy, but messaging tuned for each company’s ICP and buyer persona.
Every SDR on our team uses AI daily for prospecting, outreach, and follow-ups. But AI doesn’t replace strategy. Our representatives review and refine every output. While AI provides scale, humans provide context and judgment.
What makes it unique is that it’s automation with a brain, driven by representatives who know how to read the room and make the right moves.
Pro tip: Automation that doesn’t work with your people is just noise. Build systems that amplify your team’s skills, not replace them. That’s how you win.
Vito Vishnepolsky
Founder and Director, Martal Group
Auto-Summary Engine Speeds Up Proposal Process
We use an auto-summary engine for long discovery calls, trained to highlight pain points and desired outcomes. It plugs directly into our Notion system and adds structured notes under each client. Our strategist can then jump in and build a pitch based on that synthesis. It sped up our proposal process from three days to a few hours.
The standout here was cutting down context gathering, not cutting out the conversation. We kept the human connection but automated the data capture. This allowed our team to move fast without losing nuance. Clients felt seen, not sold to, and we closed more work.
Jason Hennessey
CEO, Hennessey Digital
Engineering-Driven Nonprofit Scales Healthcare Funding
We didn’t merely adopt automation — we built an entirely new model around it. Traditional nonprofits often separate engineering from core programs. We did the opposite. We invested early in in-house engineering, keeping our developers close to the problem: how to fund healthcare for people around the world, transparently and efficiently.
We created a custom platform that allows our medical partners — across 34 care centers in 8 countries — to securely submit patient stories, track funding progress, and report on outcomes. We’ve automated everything from intake to updates, layered in real-time dashboards using Metabase, and minimized manual data entry through structured templates and training. That’s allowed us to mobilize over $18M to fund care for more than 30,000 patients globally — at a scale and speed most nonprofits can’t reach.
In 2025, we’re building on this foundation with AI tools that help us spot trends, speed up internal workflows, and continue improving the donor experience on our website.
Automation wasn’t an add-on for us but the engine that made our entire model work. And that’s what’s made it stick and sustainable.
Mackinnon Engen
Executive Director, Watsi
Predictive Narratives Revolutionize Client Reporting
I automated client reporting using “predictive narratives” that generate written explanations of metric movements. Instead of static dashboards, our system identifies why performance changed. When conversion rates drop 15%, it automatically analyzes traffic source changes, seasonal patterns, or technical issues, providing context-rich explanations.
One fintech client saved 12 hours weekly previously spent interpreting data, while our client retention increased 60% because they understood performance drivers without explanation calls.
The unique approach: combining data analysis with natural language generation. Most agencies automate data collection; we automated data interpretation. Clients receive actionable insights, not just numbers, making them feel smarter about their marketing investment and significantly less likely to churn to competitors offering similar services.
Shantanu Pandey
Founder & CEO, Tenet
Real-Time Analytics Drives Strategic Management
One of the most effective and, at the same time, non-trivial automation solutions we’ve implemented is the automation of management and analytical processes — particularly within the sales department. Previously, a significant amount of time was spent manually consolidating data, analyzing team performance, and preparing weekly and monthly reports. Now, all of this is automated: data from our CRM and financial spreadsheets is automatically collected into a single analytics environment.
This allows us to see, in real-time, what’s happening with leads, the cost of acquisition, and more. This solution has become not just an optimization, but a tool for strategic management. Thanks to this automation, we respond to changes faster, adjust our tactics, and stay focused on growth.
Alexandr Korshykov
Founder & CEO, DreamX
Emotion-Focused Automation Improves Student Retention
Automation is synonymous with time-saving for everyone. We used it to save emotional energy. Homeschooling parents can be overwhelmed, so we built an AI-powered onboarding flow that not only handles logistics but also walks families through the first two weeks with personalized messaging, milestone check-ins, and nudges written in a warm, human tone.
It didn’t so much feel like automation as having a very sympathetic, very orderly friend in your pocket. The result? A 40% decrease in early-stage support tickets and a quantifiable improvement in student retention.
The unconventional twist? We developed the system backward — from feeling to function. We started by mapping how a parent would feel at every stage along the journey — confused, hopeful, anxious — and only then did we write what the system ought to do.
Automation should not just make business easier. It should make people feel understood. That’s where technology becomes revolutionary.
Vasilii Kiselev
CEO & Co-Founder, Legacy Online School
Personalized Follow-Ups Enhance Candidate Experience
One unconventional way we leveraged automation was by creating automated, personalized follow-ups for candidates based on how they performed in assessments — not just generic “thank you” emails.
Instead of sending a single response to every applicant, we built logic that sent different follow-ups based on their scores, skill gaps, and even response behavior (like time taken or incomplete tests). Top scorers would get a fast-tracked scheduling link. Mid-level candidates received upskilling resources. Those who didn’t complete the test got a gentle nudge and a flexible retake window.
What made it unique was how we used automation to maintain the human touch — something most companies lose. The result? Higher completion rates, better candidate experience, and a 22% reduction in time-to-hire. Automation isn’t just about speed — it’s about being smart with how you scale personalization.
Abhishek Shah
Founder, Testlify
AI Matches Writers to Client Briefs
An example of such innovative uses of automation that we put into practice at iNet Ventures was a bespoke AI-based AI content-matching technology that matches freelance writers with client briefings based on the writing style, tone, and past performance indicators. The automation of the task delegation didn’t make this approach unique, as many companies do it nowadays; the difference is that we have added the layer of intelligent, data-driven creativity to the process.
Increased efficiency is achieved through the automation of brief and available writers’ reviews that allow for increasing efficiency, usually through subjective evaluation of the brief or broad knowledge of the past work of a writer. We felt the guesswork should be removed, and efficiency was taking a toll on quality, so we created a system that could analyze several real-time variables before determining assignments: the SEO competitiveness of the keywords, the tone rules of the brand, comparative historical CTR and bounce-rate data collected on the results of earlier articles, even latent semantic analysis of the available portfolio of a writer.
Incorporating such data, our system would rate writers on a constantly ongoing and automatic basis and also match them with tasks that they would best qualify for, not only technically speaking, but also creatively. Outreach to freelancers as well as the follow-ups with deadline reminders is attempted manually as well, which saves more than 40% of the time spent on project management.
The outcome has been very good. Within three months, we increased client satisfaction scores by 25% and cut revision requests to fewer than 30%. Above all, it allowed us to unload our editorial team to work on strategic planning and more strategic assignments, instead of spending their days as triage workers.
Essentially, the novelty is in employing the technology of machine learning but matching it with the sense of editorial intuition, which enabled us to increase the scale of content production without reducing the quality. It was not automation to save time, but automation that increased creative dwelling and editorial performance on all levels.
James Allsopp
CEO, iNet Ventures
Streamline SEO Content Creation with AI
For my ecommerce store, I automated the process of optimizing my product pages, category pages, and blog pages for SEO. Initially, I used ChatGPT prompts to create SEO-focused product and category pages, but I quickly realized that it was not the most efficient use of my time (as I had to copy and paste back and forth), especially with a Shopify store which had no direct integration with ChatGPT. I then found a Shopify-integrated tool in the app store (Plug In AI) that helped me populate the relevant content inside my Shopify store.
This approach was unique because it’s slightly different from how other e-commerce store owners might approach AI-optimized store content. It bypasses the need to copy and paste and further smooths out the workflow between generating prompts for my store and actually implementing the results.
Ada Powers
Content/SEO Strategist, Hello South Korea
AI Agent Initiates Recruiting Process
We let an AI agent take the first swing at recruiting, and it worked.
Instead of wading through every resume, we set up our platform to parse applications and grade them against key skills or keywords. The automation process even includes drafting personalized emails to the most promising candidates.
Most people reserve automation for back-office busywork, but here, it kicked off a deeply human process.
The process paid off!
We had faster access to high-fit candidates, quicker engagement, and way more freed-up hours for the hiring team.
The best part about using AI in your hiring process is that it’s time-saving. Just give it clear criteria and let AI handle the sifting without sacrificing the personal touch needed later in the process.
Alexander De Ridder
Co-Founder & CTO, SmythOS.com
Hourly Live Reports Drive Company Performance
One creative way we used automation was by setting up an hourly “live report” for one of our biggest clients, showing the current run rate for daily and monthly revenue, along with insights like top-performing products. What makes it unique is that it runs so frequently it should be annoying — but instead, it became the heartbeat of the company. If the report doesn’t go out, or sales are low in one interval, I often get messages like, “Is the site down?” It keeps everyone involved, boosts morale on good days, and serves as a subtle motivator on slower ones. It also creates real-time transparency around which campaigns or products are driving results.
Heinz Klemann
Senior Marketing Consultant, BeastBI GmbH
AI Sentinel Monitors Broker Risk
For anyone in the trading space, the biggest fear is being blindsided. You can have a perfect strategy, but if your broker or prop firm suddenly changes its conditions, experiences server issues, or tightens payout rules, you’re the one who pays the price. The information available is almost always reactive — by the time you read a bad review, the damage is done.
Our most game-changing automation was built to solve this exact problem. We developed a proprietary suite of AI and automation tools we call the “Broker Risk Scanner.” It’s not just a data scraper; it’s a 24/7 sentinel that constantly monitors the digital ecosystem of brokers.
The system pulls in dozens of data streams around the clock — we’re talking about real-time spread fluctuations, server latency from various global nodes, subtle changes to the text on a firm’s Terms of Service page, and even sentiment analysis from niche trading forums and social media chatter.
But the real magic isn’t just in the “what” we collect; it’s in the “how” we use it. Our AI isn’t programmed to just report the data. It’s trained to recognize patterns and precursors to problems. For instance, it won’t just tell us, “Broker X had high slippage today.” It will alert us that, “Broker X’s server ping times in London have been degrading by 8% over the last 48 hours,” which is a leading indicator of future slippage and execution problems. Or it might flag that a prop firm has quietly removed the phrase “no restrictions on EAs” from its FAQ page.
What made this approach unique?
This automation isn’t about replacing human analysis; it’s about arming our team with intelligence that’s impossible to gather manually. Our analysts get alerts on their dashboards that are essentially early warnings, allowing us to advise our community and adjust our own strategies before a problem becomes common knowledge.
The results have been profound. It has become our single greatest competitive advantage and, more importantly, the biggest source of trust with our user base. They know our recommendations aren’t based on last month’s news, but on what’s likely to happen next week.
Shaun David
Senior Market Analyst, CleaRank
Continuous Automation Aligns Cloud Infrastructure
One unconventional way we’ve seen automation unlock major value is through enabling our customers to fully automate the management of their cloud infrastructure — not just provisioning, but everything that happens after deployment.
Traditionally, Infrastructure as Code (IaC) tools like Terraform are used to define cloud environments, but once deployed, those environments tend to drift. Manual changes, legacy resources, and compliance blind spots build up quietly over time — especially at scale. What we’ve helped organizations implement is a continuous automation layer that keeps their cloud and code aligned, remediates drift, enforces guardrails, and ensures infrastructure stays compliant without slowing developers down.
What makes this unique isn’t just the technical challenge — it’s the shift in mindset. Automation isn’t just about moving faster; it’s about creating a system that can sustain scale, avoid configuration sprawl, and reduce the operational burden on DevOps teams.
We’re seeing more companies recognize that post-deployment infrastructure control is where real risk and complexity lie — and automation is the only scalable answer. This is becoming the new normal: IaC isn’t a one-time activity anymore; it’s a lifecycle that needs continuous oversight, delivered automatically.
Looking ahead, we believe the future of cloud automation lies in closing the loop between code, cloud, and compliance — with minimal human intervention. That’s what’s letting our customers move faster, with confidence.
Ori Yemini
CTO, ControlMonkey
Competitor Intelligence Automation Identifies Opportunities
We developed a “competitor intelligence automation” that monitors our clients’ competitors for content gaps and business changes, then automatically generates personalized opportunity alerts with ready-to-execute marketing strategies. This system goes beyond basic social media monitoring by analyzing competitor website updates, job postings, press releases, and content publishing patterns to identify strategic opportunities our clients can exploit.
The automation tracks 15-20 competitors for each client, using web scraping tools and AI analysis to detect significant changes like new product launches, leadership departures, pricing adjustments, or content strategy shifts. When it identifies opportunities, such as a competitor removing a key service page or posting job openings that signal strategic pivots, the system automatically generates a detailed brief explaining the opportunity and suggesting 3-5 specific marketing tactics our client could implement within 48 hours. One client gained 23% market share in their local market after we detected their main competitor’s website went down for maintenance, triggering an automated alert that led to a targeted PPC campaign capturing their competitor’s search traffic.
This approach is unconventional because most businesses only monitor competitors reactively, missing time-sensitive opportunities that require immediate action. Our automation creates competitive advantages by identifying windows of opportunity and providing actionable intelligence while competitors are vulnerable. The system generated $180k in additional revenue for clients last year by spotting strategic openings that would have been missed through manual monitoring. Automating competitive intelligence transforms it from periodic research into continuous strategic advantage.
Brandon George
Director of Demand Generation & Content, Thrive Internet Marketing Agency
Website Visitor Tracking Reveals Buying Signals
We automated “warm lead identification” by tracking website visitor patterns instead of traditional email marketing.
This behind-the-scenes approach revealed buying signals that transformed our sales process without any intrusive follow-up tactics.
Most service businesses use automation for email sequences or social media posting, but I discovered something more valuable: tracking how potential clients engage with our content over time. Instead of bombarding visitors with automated emails, we quietly monitor which pages they visit, how long they stay, and what content they download.
The insight was remarkable — serious prospects follow predictable browsing patterns before reaching out. They typically start with industry articles, move to case studies, then research our team backgrounds. When someone hits this sequence within a short timeframe, our system alerts us that they’re likely ready for conversation.
This approach allowed us to time our outreach perfectly instead of guessing when prospects might be interested. One manufacturing executive had visited our site six times over two weeks, reading specific content about nearshoring talent strategies. When we called with relevant insights about that exact topic, he was amazed by the timing and became a major client.
The uniqueness lies in being helpful rather than pushy — we use automation to understand prospect interests, then provide value instead of generic sales pitches.
When you track engagement patterns instead of sending automated messages, you can deliver perfectly timed human interaction that feels organic rather than mechanical.
Friddy Hoegener
Co-Founder | Head of Recruiting, SCOPE Recruiting
Internal AI Assistant Boosts Team Performance
One unconventional way we leveraged automation was by using our own AI platform internally. Most companies deploy AI solely for customer-facing support, but we transformed CoSupport into an internal AI assistant across our sales, product, and customer success teams. By training it on our internal documents, case studies, product specifications, and workflows, we provided our team with instant access to everything they need, directly in Slack. No more searching through knowledge bases or pinging team leaders. What made this approach unique is that we didn’t just automate support for customers; we automated support for ourselves. The result? Faster onboarding, smoother sales calls, and a more aligned, high-performing team.
Yevhenii Nesterenko
Marketing Director, CoSupport AI
Automation Elevates People in Education
When most people think of automation, they think of speed. I think of scale and soul.
I led one of the first education companies in Australia to go fully paperless and automated — long before it was trendy, or even common. At the time, the VET sector was buried in binders, whiteboards, and manual administrative processes. We knew we had a big vision: to build fast, and to build differently.
What made our approach unique wasn’t just the technology — it was why we used it. We weren’t automating for efficiency alone; we were automating for impact.
Within 24 months, we built a $30 million business in a highly regulated industry — not by undercutting the competition, but by collaborating with our five biggest competitors. That alone was disruptive. But automation was the critical piece that made it all work.
Here’s where it got unconventional: instead of using automation to cut costs or replace people, we used it to elevate our people.
We automated every repetitive, manual process — enrollments, compliance, data validation, assessment submission, reminders. This freed up dozens of staff who would have been stuck chasing paperwork. Instead of letting them go, we retrained them as customer engagement officers — a move that defied industry logic.
And it worked. Not only could we handle the massive surge in enrolments (thanks to our competitor-collaboration model), but we also did what most thought impossible: we raised our student completion rate from the industry average of 3% to over 85%.
Automation didn’t replace connection. It created it.
We gave students human support, fast service, and clear pathways — powered behind the scenes by smart systems. That’s what made it different.
In hindsight, automation was our quiet co-founder. It allowed us to scale with integrity, lead the sector into the digital age, and most importantly — turn what’s normally an isolated online experience into a human-centred one.
That’s not just tech. That’s transformation.
Joanne Brooks
The Circle Builder, Navig8 Biz
