Why I Built an AI Follow-Up Assistant (After Losing a $15k Consulting Project)
After Watching My Consulting Leads Slip Away, I Discovered the $8,316 Monthly Problem Every Service Business Faces
My manual follow-up system was bleeding potential clients. When I researched how bad this problem really is, I found something shocking: small service businesses lose 70% of revenue opportunities to poor follow-up. Here's what I'm building to fix it.
The Wake-Up Call That Started Everything
Three months ago, I lost a $15,000 consulting project because of a follow-up email that never got sent.
The prospect had shown genuine interest in AI transformation services. We had a great initial call. I promised to send a proposal within 48 hours. Then life happened—a production issue at my day job, family commitments, the usual chaos. When I finally sent that proposal five days later, they'd already hired someone else.
"We loved your approach," they said, "but the other consultant stayed on top of communication."
That stung. Not because I lost the money, but because I lost it to something so completely preventable.
So I did what any engineer would do: I started digging into the data to understand just how big this problem really is.
What I found was shocking.
The Hidden Revenue Hemorrhage
My personal failure wasn't unique—it was epidemic.
Research reveals that 70% of leads and sales are lost due to poor follow-up practices, with the average B2B sales team taking 42 hours to respond to new inquiries. For small service businesses like mine, this translates to an estimated 15-25% loss in potential annual revenue.
Let me put that in perspective: if you're generating 100 leads monthly at the typical acquisition cost of $198 per lead, poor follow-up is literally burning $8,316 every single month.
The numbers get worse from there:
- 78% of customers buy from the first company to respond
- Nearly half of salespeople never make a single follow-up attempt
- Only 7% of companies respond within the critical 5-minute window
- Companies that do respond quickly are 100 times more likely to connect
I realized my $15,000 loss was just the tip of the iceberg.
When Your Tools Become Your Biggest Problem
Like most growing consultants, I tried the "professional" solutions first. I signed up for HubSpot's free tier, thinking I'd upgrade as I scaled.
Big mistake.
What started as a simple CRM quickly became a monthly budget nightmare. The pricing jumps are brutal: from $15/user/month on Starter to $1,170/month for 5 users on Professional. One business owner I spoke with summed it up perfectly: "What they thought would be a $5,000/year tool is now costing them $20,000/month."
But cost wasn't even the worst part. The complexity was crushing.
As a principal software engineer, I can navigate pretty much any interface. But setting up automated follow-up sequences in HubSpot felt like building a space shuttle when I just needed a bicycle. Every simple task required watching tutorials, configuring workflows, and debugging why my "simple" email sequence wasn't firing.
The final straw came when I spent 3 hours setting up what should have been a 10-minute automation, only to have it send the wrong email to the wrong prospect.
I wasn't alone in this frustration.
The Real Stories Behind the Statistics
I started interviewing other service business owners about their follow-up challenges. The stories were eerily familiar:
"Everyone was stepping on each other's toes and had no idea who was called and what was discussed. Some inquiries were never replied to - just lost," shared a marketing director from a 30-employee agency.
A construction company manager told me: "My less-computer literate coworkers struggled to get the hang of it." They eventually abandoned their $200/month Pipedrive subscription.
Another consultant reported system chaos: "I would have stuck with this software if it had not merged my calendars and copied things from previous years causing me a lot of stress, headache, and confusion."
The pattern was clear: the tools meant to solve our follow-up problems were creating bigger problems.
Why Smart Businesses Are Turning to AI
Here's where the story gets interesting.
While I was struggling with overcomplicated CRMs, other businesses were quietly solving this with AI. The adoption numbers are staggering:
- AI adoption among organizations jumped from 55% in 2022 to 78% in 2024
- 93% of small business owners agree that AI tools offer cost-effective solutions
- Businesses implementing AI-powered follow-up report 60-70% reduction in manual tasks
- Lead generation improvements reach up to 451%
The success stories started adding up:
- Lumen Technologies cut sales prep time from 4 hours to 15 minutes per seller
- An industrial solutions company saw 35% increase in conversions within 3 months
- Carson Group's client adoption jumped from 10-13% to 50-75% with AI lead scoring
But here's what caught my attention: the average ROI stands at $5.44 for every $1 spent on marketing automation, with payback periods under 6 months.
Those are numbers that make sense, even for a bootstrapped consultant.
The Market Gap Nobody's Talking About
The more I researched, the more frustrated I became. Not because the solutions didn't exist, but because they weren't built for businesses like mine.
Every AI tool I found was either:
- Too expensive: Enterprise tools "scaled down" to $200+ per month
- Too complex: Requiring dedicated teams to manage
- Too generic: Built for SaaS companies, not service businesses
- Too limited: Basic email automation without real intelligence
The closest option was Reply.io at $89/month, but even that felt like overkill for a solo consultant who just wanted smart, automatic follow-up that didn't sound like a robot.
I found massive gaps everywhere:
- No affordable multi-channel automation under $50/month
- No industry-specific AI trained on consulting language
- No simple setup for non-technical business owners
- No integration with the tools service businesses actually use
Building the Solution I Wished I Had
That's when I decided to build it myself.
Not another enterprise tool scaled down. Not another complex CRM with AI bolted on. Just a simple, intelligent follow-up assistant that understands how service businesses actually work.
Here's what I'm building:
Smart Follow-Up Assistant - An AI tool that:
- Automatically crafts personalized follow-up emails that sound human
- Schedules optimal send times based on prospect behavior
- Tracks responses and adjusts the approach accordingly
- Integrates with the simple tools service businesses already use
- Costs less than a nice dinner out each month
The technical architecture leverages modern AI (OpenAI's latest models) with the microservices patterns I've used in enterprise systems, but wrapped in an interface so simple my non-technical consulting colleagues could use it without training.
What Success Actually Looks Like
I'm not trying to build the next unicorn here. I'm solving a real problem that cost me real money, and apparently costs thousands of other service businesses real money every month.
Success for me looks like:
- Personal problem solved: Never losing another consulting project to poor follow-up
- Time recovered: Spending 10 minutes per week on follow-up instead of 5 hours
- Revenue protected: Converting more of the leads I'm already generating
- Stress reduced: Knowing my follow-up system runs while I focus on delivery
If this helps other consultants, agencies, and service businesses avoid the $15,000 mistake I made, even better.
The Real Numbers Moving Forward
I'm building this in public, which means sharing real data as I go:
Current stats (starting point):
- Follow-up time: 5-7 hours per week
- Response rate: ~40% (industry average is 1-3%)
- Lost opportunities: At least 2 per month that I know of
- Monthly cost of poor follow-up: Approximately $3,000 in lost consulting revenue
Target improvement (6 months from now):
- Follow-up time: <30 minutes per week
- Response rate: 65%+ (AI personalization + optimal timing)
- Lost opportunities: <1 per quarter
- Monthly recovered revenue: $5,000+ from better follow-through
These aren't vanity metrics. They're business metrics that directly impact whether I can transition from employee to independent consultant successfully.
Why This Matters Beyond My Business
The follow-up crisis isn't just my problem—it's systemic.
Small service businesses are the backbone of the economy, but they're hemorrhaging revenue because the tools built for them don't actually serve their needs. They're too expensive, too complex, or too generic.
Meanwhile, AI has reached the point where it can genuinely help with this problem, but only if implemented thoughtfully for real business constraints.
As someone who's spent 15+ years building enterprise systems, I have a unique perspective on what actually works in production versus what looks good in demos. I understand both the technical possibilities and the business realities that determine whether a tool gets used or abandoned.
What's Next
Over the next 8 weeks, I'm building and documenting this journey:
Week 1-2: Core message generation engine and basic UI
Week 3-4: Email integration and contact management
Week 5-6: AI optimization and personalization features
Week 7-8: Beta testing with real service businesses
I'll share progress, challenges, and real numbers throughout. Not because I want to build an audience, but because I believe transparency creates better products.
If you're running a service business and struggling with follow-up, I'd love to hear your story. The problems you're facing are exactly what I'm trying to solve.
And if you're interested in beta testing when it's ready, drop me a line. I'm looking for 5-10 service businesses willing to test this with real prospects in exchange for honest feedback.
Because at the end of the day, this isn't about building another SaaS tool. It's about solving a real problem that's costing real businesses real money every single day.
The follow-up crisis is solvable. Let's solve it.
Alex Strutsynskyi is a Principal Software Engineer transitioning to AI transformation consulting. He's building Smart Follow-Up Assistant to solve the lead management challenges he experienced firsthand. Connect with him on LinkedIn or follow his building journey at casual.solutions.