The best no code automation I built cut lead response time from about 2 hours to under 10 minutes. That single change helped convert more paid traffic into calls before leads went cold because people got a quick reply right after submitting a form. Before this, every form submission sat in HubSpot waiting for someone to assign it, so half never got a follow up. The setup runs on Zapier, connecting Google Ads, Webflow forms, and HubSpot. When a form comes through, Zapier filters out junk leads and routes qualified ones straight to the right sales rep through Slack. It also sends a Twilio message that mentions the exact service the person asked about so the response feels personal and relevant. It took about a day to build and test the workflow. Later, I added a simple ChatGPT API step that rewrites the first text based on the ad keyword. That small tweak improved response rate and dropped CAC by about 10 percent across those inbound campaigns. The best part is that it runs quietly in the background. It doesn't need constant updates, just a quick refresh on filters every few months. What was once a slow manual process now moves automatically so high intent leads reach the right person fast. It turned a bottleneck in the funnel into a point of speed and consistency. Name: Josiah Roche Title: Fractional CMO Company: JRR Marketing Website: https://josiahroche.co/ LinkedIn: https://www.linkedin.com/in/josiahroche
Industry Leader in Insurance and AI Technologies at PricewaterhouseCoopers (PwC)
Answered 4 months ago
#1 I created a no-code claims intake and triage system for a mid-sized insurance client to make case routing and reporting more efficient. The workflow checks claim data, sorts it by severity, and starts the next steps for review automatically. #2 Make.com for automation, ChatGPT to summarize data, Google Sheets to store records, and Slack to send real-time notifications. #3 Before automation, the client's team spent over 20 hours each week sorting claims and checking for duplicates by hand. The new system cut processing time by 65%, made claim routing more accurate, and shortened reporting from two days to just two hours. #4 The whole setup, including prompt tuning and testing the workflow, took about 12 hours. #5 As the AI & Insurance Modernization Lead, I designed and built the workflow. I'm happy to join a short Q&A to share the results and what I learned.
1 / Our system uses Zapier to link Shopify order information with Airtable and Slack which sends immediate alerts when it detects suspicious patterns including multiple refunds and unusual buying speed and suspicious delivery locations. The system enables our operations team to detect problems such as fraud and delivery mistakes before they create major issues. 2 / The solution employs Zapier together with Airtable and Shopify API and Slack and Excel for rule development. The system operates without needing any engineering support. 3 / The daily order volume made it difficult to track refund-related losses because these exceptions remained hidden from view. The system we implemented resulted in a 30% decrease of refund-related losses during two quarters according to our internal assessment. The system revealed weaknesses in our methods for detecting problematic customers who place multiple orders. 4 / The complete setup required 12 hours to establish Airtable schema and Zapier logic paths and perform filter testing. The team performed multiple weeks of testing to resolve false positive occurrences. 5 / Hans Graubard serves as co-founder and COO at Happy V which operates under happyv.com. The ops team worked under my direction to execute this project. I am available to answer additional questions about this project if you need further clarification.
At my company, Hey Rachael, we built a no-code automation that completely transformed our client onboarding process! What used to be an inconsistent, manual setup with delayed responses, is now a seamless, automated experience. As soon as a client signs a proposal (no matter what day or time), the system instantly delivers personalized welcome emails, intake forms, and immediate scheduling options, while also internally generating their ClickUp project onboarding + Google drive folders automatically. Tools Used: Dubsado (CRM) - Zapier - ClickUp + Google Before automating, onboarding a new client took roughly 45 minutes of manual work per project: duplicating templates, sending forms, and double-checking details. The new automation completes the process in under 2 minutes, and eliminates setup errors and delays entirely! Beyond the time savings, it's also improved our client experience dramatically. I work with clients around the world, so being able to move the project forward no matter the day or time is super helpful in solidifying a great client experience! The immediate, organized handoff has increased our referral and testimonial rate, and clients consistently mention how supported they feel from day one. We've found that starting the relationship with this level of responsiveness sets the tone for amazing long-term partnerships! I also set these things up for my clients as well, creating the same amazing white glove client experience inside their businesses too.
I run Castle of Chaos and Alcatraz Escape Games in Utah. We built an automated booking optimization system that completely changed how we handle corporate team-building inquiries--which make up about 40% of our escape room revenue. **The automation:** Corporate inquiry comes in via web form - Make.com routes it based on group size and date - Pulls real-time room availability from our booking system - Auto-generates a custom proposal PDF with pricing tiers and available themes - Sends personalized email with proposal + calendar link for immediate booking - If no response in 48 hours, triggers follow-up sequence with social proof (we have 1,000+ five-star reviews). We're using Make, Calendly, and our booking platform API. **Results:** Response time dropped from 4-6 hours to under 3 minutes. Our corporate booking conversion rate jumped from 34% to 61% because companies can lock in dates immediately instead of waiting on back-and-forth emails. We're saving roughly 15 hours per week that our staff previously spent on quote requests and follow-ups. Setup took about 3 days to build and test all the conditional logic for different group sizes. The game-changer was realizing corporate clients need speed and simplicity--they're comparing multiple venues and whoever responds first with clear pricing usually wins. This automation captures that urgency without requiring our team to monitor emails 24/7.
I've spent 15+ years helping companies automate NetSuite workflows, and one pattern keeps delivering huge wins: invoice approval automation. Most mid-market companies drown in approval bottlenecks--CFOs manually reviewing 50-70 invoices that should never hit their desk. We built a rules-based automation using NetSuite's native workflow engine (no external tools needed) that routes invoices by dollar threshold, vendor type, and department budget status. Invoices under $5K with approved vendors auto-approve if budget exists. Anything flagged gets escalated with full context already attached. One client went from 12-day approval cycles to 2.3 days, cut late payment fees by $18K annually, and freed up 25 hours per month of finance team time. Setup took roughly 5-6 hours because we templated the logic from previous implementations. The real business impact isn't just time saved--it's strategic. Their AP team shifted from chasing approvals to analyzing spend patterns and negotiating better vendor terms. They spotted a duplicate vendor billing situation worth $31K because they finally had time to look at the data instead of pushing paper. That's what good automation does--it doesn't just eliminate tasks, it open ups the work that actually grows the business.
I've been running an architecture firm for almost 30 years, and about two years ago we automated our initial client intake and project scoping process. When potential clients submit our contact form, the system automatically sends them a custom questionnaire based on their project type (residential/commercial/renovation), schedules a preliminary call using Calendly, and creates a pre-populated project folder in our system with all their responses organized by phase. **The setup:** We used Zapier to connect our website forms to Airtable (our project database), then trigger customized email sequences through Mailchimp and sync everything to our internal project management system. Took about 5 days to build and test, mostly because we had to map out 15+ years of questions we'd been asking manually. **Results we actually measured:** Our initial findy meetings dropped from 90 minutes to 35 minutes because clients already answered the basics. We're now handling 60% more inquiries without adding staff, and our proposal turnaround time went from 8-10 days to 3-4 days. The biggest win? We stopped losing prospects who'd go cold during those long wait times--our conversion rate from inquiry to signed contract jumped from 24% to 41%. The key was realizing that architects spend way too much time on repetitive questions. Every residential client needs to tell us their budget, timeline, and square footage whether it's a kitchen remodel or new build. Automating that collection process freed us to actually do architecture instead of playing phone tag and retyping the same information into three different places.
I run Service Ranker, a boutique agency for home service contractors and law firms. About 8 months ago I built a lead attribution system that connects every phone call and form fill back to the exact marketing channel--and then pushes that data into clients' CRMs to tie it to quote values and closed jobs. **The setup:** We use CallRail for dynamic number insertion and call tracking, Zapier to push call/form data into Google Sheets and the client's CRM (usually Jobber or ServiceTitan), then a Make.com workflow that pulls closed job revenue back into our reporting dashboard. The whole loop shows not just "12 leads from Google Ads" but "12 leads, 7 booked, $18,400 in revenue." **Results:** One HVAC client was spending $6K/month on Google Ads and another $3K on SEO but had no idea which drove actual jobs. After we connected the system, we finded 73% of their booked revenue came from Local Service Ads they were barely monitoring. We shifted budget, and their cost per booked job dropped from $310 to $180 in 6 weeks. Setup took about 12 hours including CRM integration and testing, but now it runs fully automated. The biggest win isn't the dashboard--it's that my clients finally stop guessing. They know exactly what's worth paying for, and I don't have to defend campaign performance with vanity metrics like impressions. It's changed how we price and how clients view marketing as an investment instead of an expense.
I'm Debra Vanderhoff, Founder and COO of MicroLumix--we developed GermPass, an automated UVC disinfection system. Before this, I spent years in enterprise performance consulting, so I've seen how operational bottlenecks kill growth. **The automation:** We built a facility certification workflow using Airtable + Zapier + DocuSign. When a hospital or facility fills out our "Become GermPass-Safe" form, it auto-populates their profile in Airtable, triggers a custom proposal in Google Docs with their specific touchpoint data, routes it through DocuSign for signatures, and feeds completed deals into our fulfillment pipeline. We also added automated follow-up sequences via email at Days 3, 7, and 14 if they don't convert. **Results:** Our sales cycle dropped from 28 days to 11 days average. We're closing 34% more deals per quarter without adding sales headcount, and our VP of Sales gets back 15+ hours weekly that used to go to manual quote generation and contract chasing. Setup took about 3 days of tinkering--I'm not an engineer, just resourceful. The big lesson from my consulting days: most "sales problems" are actually operations problems. Speed matters more than perfection when you're trying to protect facilities from Hospital Acquired Infections that kill 54,000 people daily. This automation let us move fast enough to matter.
I'm John, CEO of ASK BOSCO(r)--an AI marketing platform I built with the Skyscanner co-founder. Before this I scaled multiple digital agencies, so I've lived the pain of manual client reporting for 25+ years. **The automation:** We onboarded 300 clients for agency partner Mabo in under two weeks using our no-code data connector system. Their 70 account managers previously spent hours each week manually pulling data from Google Ads, Meta, SEO tools, and affiliate networks into spreadsheets. Our platform auto-connects all their clients' data sources, standardizes reporting across every account, and generates performance dashboards without writing a single line of code. **Results:** The agency saved 50% of their time on reporting and forecasting. That's roughly 20-25 hours per week freed up across their team to focus on strategy instead of spreadsheet gymnastics. Their client retention improved because reports are now consistent, accurate, and delivered faster. Setup per client averaged about 15 minutes--most of it just OAuth connections. The key insight: agencies don't fail because of bad strategy, they fail because they drown in manual reporting work. We automated the data consolidation layer that was eating their margins. Another client, Visualsoft, told us "you can't put a price on" the accuracy gains--their forecasting went from educated guesses to 96% accuracy because clean, unified data flows automatically into their decision-making.
I don't have a pure no-code automation story to share since my background is in software engineering, but I've built plenty of low-code workflows that stripped manual work out of my coaching practice. The one that moves the needle most: automated client check-in sequences that keep accountability flowing between sessions without me lifting a finger. **The Setup:** After each coaching session, Calendly triggers a Zapier workflow that sends a personalized email recap within 2 hours, drops action items into a shared Notion doc, and schedules a midweek check-in prompt via email. If they don't respond in 48 hours, it auto-sends a gentle nudge. Tools: Calendly + Zapier + Notion + Gmail. **Business Impact:** Client engagement between sessions jumped about 35%, and I'm saving roughly 6-8 hours per week that I used to burn on manual follow-ups and tracking commitments. More importantly, clients report feeling more supported, which directly improved retention--I've had zero mid-engagement dropouts since implementing this six months ago. **Setup Time:** Took me about 4 hours to build and test across different client scenarios. The key was keeping the language warm and human--people can smell robotic automation a mile away, especially in coaching work where trust is everything.
I run an MSP in Santa Fe and Stroudsburg, and we built a client onboarding automation that cut our setup time from 3 weeks down to 4 days while eliminating about 90% of configuration errors. **The system:** When a new client signs, Make.com triggers a workflow that creates their folder structure in our documentation system, generates standard security policies customized with their company name and industry compliance requirements (HIPAA for medical, PCI for retail, etc.), provisions monitoring agents using our RMM API, and schedules their first three check-ins automatically. We feed client intake form data through a simple ChatGPT prompt that rewrites our template policies with their specific details. **Real impact:** We onboard about 2-3 clients monthly, so this recovered roughly 35 hours per month my team spent on repetitive documentation and setup tasks. More importantly, we went from missing compliance items about 15% of the time to essentially zero--which matters a lot when you're dealing with medical practices that could face HIPAA violations. Build time was around 12 hours spread over two weeks of testing. The surprise benefit was that clients noticed. They'd mention during kickoff calls that they received their customized security documentation the same day they signed, and it made us look significantly more organized than previous IT providers they'd worked with. For a 20+ year company, finally automating this stuff felt overdue but the ROI showed up immediately.
I've been in franchise marketing for 20+ years and just built an AI appointment-setting automation that's handling our client findy calls 24/7. When franchise leads come through--whether it's 2pm or 2am--our custom AI agent immediately engages them via SMS, qualifies their interest level, answers initial questions, and books directly into our calendar. **Stack:** Custom GPT-4 wrapper + Twilio for SMS + Calendly API + our CRM. The AI pulls context from our knowledge base to handle questions about GEO strategy, lead gen pricing, and franchise development services. Complex questions trigger handoff to our team with full conversation history. **Results:** We went from 31% contact rate on new leads to 89% within first hour. Booked qualified meetings jumped from ~12 per month to 34. That's nearly 3x our pipeline without hiring a BDR. Setup took about 5 days of prompt engineering and integration testing. The game-changer was training the AI on actual findy call transcripts--it learned our qualification criteria and tone. Most franchise inquiries happen after 6pm when prospects finally have downtime, so capturing that window was leaving serious money on the table before automation.
I run an electrical and systems integration company in Queensland, and we built an internal automation 2 years ago that transformed how we handle maintenance callouts across 400+ buildings we service. **The automation:** When a client reports an issue via email or our portal, Make.com captures it, logs it in Airtable with auto-assigned priority based on keywords (like "alarm" or "camera down"), then instantly routes it to the right tech based on their location, current jobs, and skill set. Our ops manager gets a Slack ping only if it's flagged urgent or unassigned after 10 minutes. **Results:** Our average response time dropped from 3.5 hours to 22 minutes. We cut coordination time by about 15 hours per week, which let our ops manager focus on quoting new projects instead of playing dispatch all day. Client retention improved noticeably--we tracked a 12% increase in contract renewals that year, and several strata managers specifically mentioned "you guys are always so quick to respond" in feedback. Setup took roughly 8 hours including testing with real jobs. The unexpected win was technician morale. They used to get frustrated waiting for job details or driving to the wrong site because info was unclear. Now everything's automatic and accurate, so they just show up and fix things. That alone was worth the build time.
I lead marketing at Rehab Essentials, where we help universities launch hybrid DPT and OTD programs. One of our biggest friction points was losing qualified university leads because they'd submit inquiry forms but we'd take 24-48 hours to respond with relevant materials--by then, they'd already talked to competitors or shelved the conversation. We built a Make automation that segments inbound inquiries by program type (DPT vs OTD vs post-professional) and institution size, then instantly delivers a personalized resource packet--case studies showing similar universities, ROI projections specific to their program size, and accreditation alignment docs. Hot leads from decision-makers (provosts, deans) trigger a Slack alert with their LinkedIn profile pre-pulled so our team can research context before the first call. Response time dropped from 36 hours to under 5 minutes for qualified leads. Our meeting booking rate jumped from 18% to 41% because prospects get exactly what they need to evaluate fit before we even talk. Setup took about 8 hours including testing the segmentation logic and building the resource library in Airtable. The payoff wasn't just speed--it was relevance at scale. We went from generic "here's our brochure" replies to "here's how three universities your size achieved $1.5M annual net revenue in year two." I built this with Make, Airtable, and our CRM, no dev work needed.
I've been running Direct Express in Florida for over 20 years, and last year we built a lead routing automation that's been a game-changer for our integrated real estate operation. When you're juggling brokerage, mortgage, property management, and construction under one roof, speed matters--especially in this market. **The automation:** Incoming lead hits our website - Zapier captures form data - Lead gets scored based on service type and location - Auto-assigned to the right agent based on territory coverage - Instant SMS to agent + pre-filled CRM entry in our system - Follow-up email sequence triggers if agent doesn't respond within 15 minutes. We used Zapier, our existing CRM, and Twilio for SMS alerts. **Results:** We went from manually distributing leads (which took 30-60 minutes during busy periods) to under 60 seconds. Our lead-to-contact time dropped from an average of 4 hours to 8 minutes. We're converting about 18% more leads into actual consultations, which translated to roughly $280K in additional closed transactions last year across all our divisions. The cross-sell rate also jumped--when a buyer gets instantly connected to both a realtor and loan officer, they're more likely to use both services. **Setup took about 5 days** to map out all the routing logic since we cover everything from St. Petersburg to Sarasota with different agents specializing in different areas. The trickiest part was the territory mapping and making sure investment property leads got routed differently than first-time homebuyers. I handled the initial workflow design, but our marketing director Morgan helped refine the lead scoring criteria. The ROI hit within the first month--those lost hours were costing us deals we didn't even know we were missing.
I built a review response automation last year that's been quietly crushing it for our Google Business Profile management clients. When a client gets a review on Google, it triggers a Make scenario that pulls the review content, runs it through ChatGPT with brand-specific prompts we've customized for each client, then posts the response draft to a Slack channel where the business owner can approve or tweak it in under 30 seconds. The results hit hard: our cleaning industry clients went from responding to 40% of reviews (manually, 2-3 days late) to 95% within 4 hours. One franchise owner in particular saw their review volume jump 60% in three months because consistent responses trigger Google's algorithm to request more reviews. Their cost per lead dropped $18 because higher review counts mean better map pack rankings--people don't shop around as much when you've got 200+ reviews and competitors have 40. Setup was roughly 8 hours over two days--most of that was fine-tuning the ChatGPT prompts to match different brand voices and testing the approval workflow. I built it after tracking our clients' lead tracking data and realizing response rates were the biggest gap between top performers and everyone else. We use Make, OpenAI API, Slack, and the Google Business Profile API. The automation saves each client about 5 hours weekly, but the real ROI is the rankings boost and lead quality improvement that compounds month over month.
I run Lighthouse Energy, a 24/7 electrical contractor in South Florida. We built an after-hours lead qualification system that routes emergency vs. routine service calls automatically and dramatically improved our conversion rate on commercial projects. **The automation:** Inbound call or web inquiry hits our system - Zapier checks time of day and keywords (power outage, sparks, no AC = emergency flags) - Routes emergencies directly to on-call tech's mobile with SMS + all customer details - Non-urgent requests go into our CRM with auto-reply confirming next-day callback + sends them a PDF of our commercial capabilities if inquiry mentions "business" or "office." For commercial leads specifically, it triggers a 3-day drip sequence showcasing relevant past projects (we did a lot of aircraft obstruction lighting work that needs those case studies). Built with Zapier, our CRM API, and Twilio for SMS. **Results:** Our after-hours emergency response time dropped from 18 minutes to under 4 minutes because techs get structured data instead of frantic voicemails. More importantly, our commercial lead conversion jumped from roughly 28% to 47% because prospects get immediate proof of our capabilities instead of waiting until Monday for someone to dig up project photos. We're saving about 12 hours weekly on lead qualification and follow-up admin work. Setup took maybe 2 days since I already knew our call patterns from running jobs for 40+ years. The key insight was realizing our 24/7 availability claim was worthless if customers still waited for information--speed only matters if you're also delivering the right context. Commercial clients evaluating electrical contractors want to see you've handled similar projects before they'll even take a call.
I'm Marketing Manager at FLATS(r), managing $2.9M in marketing spend across 3,500+ units. I built a resident feedback automation using Livly that turned complaints into preventative content--cut move-in dissatisfaction by 30%. **The automation:** Livly captures all resident feedback and flags recurring issues by keyword frequency. When a problem like "oven confusion" hit a threshold (mentioned 12+ times in 30 days), it automatically created a Slack alert to our content team with the exact complaint text and unit types affected. We'd film a 60-second FAQ video, upload to our YouTube library via bulk upload template, then auto-link it to those specific unit pages using Engrain sitemaps. New residents in those units got the video in their welcome email sequence before they even asked. **Results:** Move-in maintenance tickets dropped 30%, positive reviews increased 18%, and we saved our onsite teams roughly 15 hours per week in repetitive "how do I..." calls. Our cost per lease dropped 15% partly because fewer frustrations meant better word-of-mouth. Setup took about 8 hours including testing the keyword triggers and building the video delivery workflow. **Tools:** Livly for feedback capture, Zapier for Slack notifications and email triggers, YouTube for hosting, Engrain for unit-level page mapping. The key was connecting resident pain points directly to scalable solutions instead of one-off support tickets. I built this myself--no dev team, just connecting APIs and being willing to iterate when the first keyword list was way too broad.
I built a visitor identification + automated outreach system at RED27Creative that turns anonymous website traffic into booked meetings. When a B2B company visits our clients' sites, our automation identifies the company, scores it against their ICP, enriches contact data for decision-makers, and launches personalized email sequences--all without anyone lifting a finger. We use a combination of visitor tracking (similar to Clearbit Reveal), Make.com for workflow logic, and API connections to enrichment databases and email platforms like Instantly. The whole system runs on webhooks and conditional logic--zero custom code. **Results that matter:** One manufacturing client went from 12 qualified leads per month to 47 in the first 30 days. Their sales team stopped cold calling and started taking inbound meetings from companies that had already shown intent by visiting specific product pages. We cut their lead response time from "whenever someone checked the form" to under 5 minutes, and their close rate jumped 31% because they were talking to warm traffic, not cold lists. Setup took about 6 hours to build the core workflow, then another 4-5 hours of testing and ICP tuning. I'm the founder and built this after watching too many clients waste high-intent traffic because they had no way to act on it fast. The biggest open up was connecting behavioral data (pages viewed, time on site) directly to outbound triggers--most people either track visitors *or* do outreach, but never connect the two automatically.