Your Biggest Revenue Leak Isn’t Marketing – It’s Missed Calls
If you run a home-service or trades business, you probably think you have a marketing problem. Most of the time, you don’t. You have a missed-calls problem.
You’re already paying to make the phone ring. Google Ads, Local Service Ads, Facebook, mailers, truck wraps – all of it is doing its job. The phone rings. But then what?
You’re on a roof.
You’re under a house.
You’re driving between jobs.
It’s 7:30 pm and you’re finally sitting down with your family.
The call comes in, you can’t get to it, and voicemail grabs it. That’s where you lose the job.
Industry data shows that a large chunk of service calls never get answered live – especially during peak hours, evenings, and weekends. The customer does what you would do: hangs up and calls the next company in Google.
Every Missed Call Is Real Money Walking Away
Think about your average job value. If one booked job is worth 300–700 dollars (or more), then:
Miss 3 calls in a week – you just lost 900–2,100 dollars.
Miss 10 calls in a month – you just lost 3,000–7,000 dollars.
Miss calls consistently – you plateau, even while “doing more marketing.”
Now multiply that by a year.
This is why so many service businesses feel like they’re stuck at the same revenue level. It’s not that you need more leads. It’s that you’re leaking the ones you already have.
Your Competitors Answer on the First Ring
Here’s the part that stings: your competitors are answering faster.
They have someone whose only job is to answer calls.
Or they’ve already implemented AI to pick up every call in under a second.
When a homeowner has an emergency, they don’t care who has the best logo, or the most followers, or the funniest TikTok. They call the first company that answers and can give them an appointment.
Speed-to-lead wins. Every single time.
AI Receptionists: Answering Every Call, 24/7
The good news: you don’t need to hire another receptionist, or build a call center, or sit by the phone. You can use AI to:
Answer every inbound call in under one second
Qualify the caller and gather details (name, address, job type, urgency)
Book the appointment directly onto your calendar
Send follow-up texts so the customer never feels ignored
Done right, AI costs less than a single part-time receptionist – but it never sleeps, never calls in sick, and never sends anyone to voicemail.
You stay on the tools. AI stays on the phone.
What an AI Readiness Assessment Does for You
Before you bolt AI onto your business, you need to know:
Where you’re currently leaking leads
How many calls you’re missing
Which touchpoints (phone, web forms, Facebook messages, etc.) need automation
What “booked automatically” could look like for your exact workflow
How Can AI Answer My Customer Calls When I’m Busy?
If you run a service business, you’ve lived this scene more times than you can count.
You’re on a job. Your hands are full. Your phone rings. Again.
You glance at the screen, see “Unknown Number,” and tell yourself, “I’ll call them back at lunch.” But by the time you’re free, that customer has already called your competitor and booked with them.
You’re not alone. For many small and mid-sized service businesses, missed calls are the single biggest source of silent revenue loss.
The good news? AI can now answer those calls for you, 24/7, without you hiring another person or building a call center.
What Is an AI Call Answering System?
When we say, “AI answers your calls,” we’re talking about a software-based assistant that connects directly to your phone system, responds to customers in real time, and handles many of the same tasks a human receptionist would.
Think of it as:
A digital receptionist that lives in the cloud
Always available, whether it’s 2 p.m. on a Tuesday or 2 a.m. on a Sunday
Trained specifically on your services, pricing ranges, service areas, and scheduling rules
When a customer calls, the AI:
Picks up in under one second
Greets them in a friendly, natural voice
Asks a few simple questions to understand what they need
Either books the appointment, routes the call, or sends you a concise summary (if human input is needed)
Instead of calls hitting voicemail, or worse, ringing endlessly, the AI catches them all.
How AI Connects to Your Existing Phone Setup
You don’t have to rip out your current systems to make this work.
Most AI call solutions sit in front of or alongside your existing phone service:
Call forwarding: When your business line rings, unanswered calls forward to the AI after a set number of rings.
Direct routing: You can route all calls to AI first and only send high-priority or complex calls to you.
Hybrid setups: During business hours, calls ring your team first; after-hours, AI takes over automatically.
The key point: your customers still dial the same number they always have. From their perspective, they’re just getting a faster, more consistent response.
What Can AI Actually Handle on a Call?
Modern AI can do far more than play a generic message or collect a voicemail.
Here are common tasks an AI call assistant can manage for a service business:
Basic Q&A: Service areas, hours, types of jobs, payment options.
Lead qualification: “What’s the issue?” “How urgent is it?” “Where are you located?”
Appointment booking: Offering available time windows and confirming a slot.
Estimates and site visits: Scheduling on-site estimates or remote consultations.
Multi-channel follow-up: Sending confirmation texts, emails, or reminders.
For example: A customer calls about a leaky faucet. The AI:
Confirms they’re within your service area.
Asks a few questions to gauge urgency.
Finds your next available slot that fits your rules (e.g., “no same-day jobs after 3 p.m.”).
Books the visit, sends the customer a confirmation, and updates your calendar.
By the time you finish your current job, tomorrow’s schedule is fuller without a single extra email or phone tag.
Why AI Is Often Better Than Voicemail (and Sometimes Better Than People)
Voicemail has one fatal flaw: it’s a delay. The longer you take to respond, the more likely your customer is to move on.
AI fixes that by:
Answering instantly, every time
Responding consistently (no “bad moods”)
Never putting someone on hold for 10 minutes
Handling simple tasks faster than a human
And unlike a traditional call center, AI:
Costs far less than a full-time employee
Scales with you—no hiring, training, or turnover
Works across time zones and holidays without overtime pay
Humans are still essential for complex issues, relationship building, and on-site service. AI simply covers the repetitive, time-sensitive front-line tasks that you and your team don’t have time for.
Will AI Sound Robotic?
This is one of the biggest concerns owners have.
However, modern AI voice systems can:
Use natural pace, tone, and pauses
Personalize responses based on caller information
Handle interruptions and clarifying questions
When configured correctly, many callers won’t even realize they’re talking to AI—they just know someone answered quickly and solved their problem.
The key isn’t to pretend the AI is human. It’s to make sure the interaction is clear, helpful, and respectful of the customer’s time.
Where AI Fits in Your Service Business Today
AI answering is especially helpful if:
You’re often on jobs and can’t grab every call
You rely on a small office staff that gets overwhelmed
You offer after-hours or emergency service
You run ads or campaigns that cause spikes in call volume
You can start small:
Let AI answer after-hours and weekends first
Then gradually increase coverage during busy times
Finally, decide whether AI should be the default front line
Each step gives you more data on how many calls you were missing—and how much revenue you were leaving on the table.
How SPS Contact Helps You Implement AI Without the Headache
Most business owners do not want another system to learn or another login to memorize.
At SPS Contact, we handle the entire AI call-answering setup for you:
Mapping your call flows and scripts
Integrating with your existing phone system and calendar
Training the AI on your services and policies
Testing and fine-tuning how it responds
Monitoring performance and making ongoing improvements
You stay focused on running your jobs. We make sure your calls are answered.
Ready to See If AI Call Answering Fits Your Business?
Not every business is ready for AI on day one. You need the right call volume, processes, and goals.
That’s why I offer a simple, no-pressure 15-minute AI Readiness Assessment.
On this call, we’ll:
Review how calls currently come into your business
Identify where you’re missing opportunities
Estimate the revenue upside of answering every call
Outline a clear, affordable AI plan tailored to your business
If you’d like AI to answer when you’re busy—without hiring more staff—let’s talk.
Call-to-Action:
Contact me directly to schedule your free 15-minute AI Readiness Assessment. Together we’ll find out how many jobs you’re leaving on the table and what AI could do for your business this month.
Your New Best Employee Might Be AI What if your newest employee never called out, never missed a deadline, and helped your business before your first cup of coffee? In this episode of In the Queue, we make the case that AI is not just another tech trend. For small business owners, retailers, and operators, it may be the most practical productivity tool available today.
The argument is simple: most small businesses are already better prepared for AI than they think. Why? Because they already run on systems, checklists, schedules, policies, and repeatable tasks. AI performs best in structured environments, and that is exactly how many successful small businesses already operate.
How Small Businesses Can Use AI to Improve Operations
Why small businesses are ready Large companies often struggle with AI adoption because they have too many stakeholders and not enough operational clarity, while smaller businesses often rely on established routines and direct decision-making. SPS Contact positions itself around building and scaling AI-enabled service operations, which makes this message especially relevant for business owners trying to create efficiency without sacrificing customer experience.
If you open your business the same way every day, train staff with repeatable steps, handle common customer questions, and rely on standard procedures, you already have the foundation AI needs. The opportunity is not to reinvent your operation. It is to plug AI into the systems you already use.
Stop treating AI like Google One of the biggest mistakes business owners make is treating AI like a search engine. AI works better when you treat it like a team member: give it a role, explain the situation, tell it what you need, and specify the format you want back.
That management mindset is the shift. Instead of typing vague prompts like “write me an email,” operators get better results when they brief AI like a new employee. This reflects the same operational discipline SPS Contact emphasizes in its work with AI-enabled contact centers, retail businesses, and service teams.
The four-part AI briefing method This framework is practical and easy to apply:
Tell AI who it is, such as customer service manager, inventory analyst, or operations lead.
Explain what you are working on so it understands the business context.
State exactly what you need right now, with specifics rather than broad requests.
Define the format, such as bullets, script, checklist, or paragraph.
This approach turns random outputs into usable business assets. In real terms, it can help create customer email replies, complaint-handling scripts, onboarding guides, and operational checklists faster and with more consistency.
Daily ops and deep work The episode breaks AI use into two categories: daily ops and deep work. Daily ops includes quick, repeatable tasks like social captions, review responses, store-hour updates, and internal staff communications. Deep work involves building more valuable documents such as SOPs, onboarding guides, marketing calendars, and training frameworks.
That distinction matters because it helps business owners start small without missing the bigger payoff. Quick wins build confidence, but deep work is where AI can create real leverage across operations, customer service, and internal process design.
Build a master context A standout idea from the episode is the concept of a “master context.” Mike describes it as the orientation packet you would hand a new employee on day one: your business name, location, voice, products, customer profile, policies, and current priorities.
This is one of the smartest ways to improve.
The SMB AI SOP Starter Kit
For readers to get a fast track to implementing basic AI wins in their business, The SMB AI SOP Starter Kit was created to give you an immediate advantage over your competition. It’s a complete set of AI Powered Standard Operating Procedure templates designed for independent business owners. It includes everythingfrom customer service scripts to inventory processes to employee onboarding. The prompts are prebuilt. The Master Context worksheet is included. you plug in your information and you have a professional ops system running in a day.Get it HERE
What does it really take to build a future‑proof, AI‑driven website strategy in today’s digital economy? In this episode of the In the Queue Podcast, host Mike Schiano talks with Laurens Tyson, founder of Breathpage.com, a European website agency that has designed and launched more than 400 websites for over 150 companies worldwide.
Laurens shares his journey from earning his first online income at just 14 to becoming a digital ecosystem architect, helping entrepreneurs turn their websites into true business engines—not just online brochures.
What You’ll Learn About AI‑Driven Website Strategy
1. Why Your Website Is Still the Backbone of Your Digital Business
Even with AI chatbots, social media, and marketplaces, Laurens explains why your website remains the core of any AI‑driven website strategy. It is the only digital asset you fully control, and when optimized, it becomes the hub for traffic, leads, data, and revenue.
2. The “Attention → Interaction → Transaction” Ecosystem Framework
Laurens breaks down his Attention → Interaction → Transaction model for building a scalable online ecosystem:
Attention – Attracting the right visitors from search, social, email, and other channels.
Interaction – Using content, design, and automation to nurture trust and engagement.
Transaction – Converting qualified attention into sales, bookings, or applications with clear, frictionless paths.
This framework shows how to connect every part of your AI‑driven website strategy, so channels reinforce each other instead of operating in silos.
Laurens Tijssen founder of Breathpage.com
3. European vs. American Digital Branding Approaches
Mike and Laurens compare European and American website and branding strategies:
U.S. businesses typically favor direct offers, clear CTAs, and conversion‑first design.
European brands often lean into subtlety, brand storytelling, and long‑term relationship building.
You’ll learn how combining these styles can make your website strategy both high‑converting and brand‑strong.
4. How to Start Online Without Overwhelm
If you are launching or rebuilding a digital business, this episode gives you a clear, anti‑overwhelm starting point:
Begin with one core offer and a focused website.
Add channels and automation gradually as systems stabilize.
Prioritize consistency and clarity over chasing every new platform or tool.
This is especially valuable for founders and teams trying to build an AI‑driven website strategy without burning out or wasting budget.
5. Practical AI Tools for Real Business Growth
Laurens shares how he uses tools like Perplexity, Grok, and Gemini inside his workflow to support research, content, and decision‑making. Instead of collecting dozens of tools, he focuses on a lean stack that amplifies execution and keeps the website at the center of the digital ecosystem.
This episode is ideal for:
Entrepreneurs and founders building an online business
Coaches, consultants, and creators selling expertise
Digital marketers, web designers, and agencies
Business owners overwhelmed by AI tools and marketing platforms
Anyone serious about building a scalable, AI‑driven website strategy that supports long‑term growth
Connect with Laurens Tyson (Breathpage)
To learn more from Laurens and explore his resources:
Visit Breathpage.com to:
Access his free growth blueprint
Request a power audit of your website and digital ecosystem
See how his team helps businesses turn websites into revenue‑driving assets
You can also reach him at: Tijssenlaurens@outlook.com
This isn’t just another talk about websites or AI tools. You’ll get:
Clear frameworks for structuring your AI‑driven website strategy
Real‑world lessons from launching hundreds of sites
Actionable insights you can apply immediately to make your website work harder for your business
If you want your website to be a profit center and strategic asset, not just a static page, this episode is a must-listen or, if you’d like to watch it on You Tube here is a link.
Support the In the Queue Podcast
If this conversation helps you think differently about your digital ecosystem:
Subscribe for more high‑level founder conversations
Comment: Which part of your AI‑driven website strategy needs the most work right now—traffic, engagement, or conversion?
In contact center‑driven businesses, the COO isn’t just “running the back office” anymore. They’re the architect of how revenue, margin, and customer experience show up every day.
Three things boards should expect from a modern COO:
A clear operating model, not just KPIs. The COO should define what “good” looks like across the value chain, make it visible in a simple system of metrics, and build an operating cadence that leaders at every level can run.
A practical AI and automation roadmap. Not hype decks—prioritized workflows where AI, speech analytics, and automation are already changing unit economics and experience, with before/after metrics.
A culture of accountable, empowered frontline leaders. The best COOs invest heavily in frontline leaders who understand the numbers, coach effectively, and can keep operations stable while the business scales or transforms.
This is the lens I bring to SVP/COO roles in healthcare and tech‑enabled services: board‑level clarity on the operating model, and day‑to‑day leadership in the contact centers and service teams that power the business.
Over 18 months, I led a 500‑seat healthcare contact center from flat growth and inconsistent performance to double‑digit EBITDA expansion and stronger CX.
Here’s how we did it:
Starting point: Stagnant revenue, inconsistent service levels across sites, high overtime and attrition, limited visibility into true unit economics.
Workforce model: Rebuilt forecasting, staffing, and scheduling using WFM discipline, reduced overtime dependence, and rebalanced onshore/offshore mix.
AI & speech analytics: Deployed AI‑driven speech analytics and QA to identify friction points, target coaching, and streamline handle times without hurting quality.
Funnel redesign: Simplified referral and intake workflows, tightened routing, and clarified conversion ownership to reduce leakage in the sales and scheduling funnel.
Outcomes: Delivered double‑digit EBITDA growth, multi‑million‑dollar revenue lift, improved NPS/CSAT, reduced handle time and booking lag, and stabilized attrition.
This is the kind of work I enjoy most as an SVP/COO: turning complex, multi‑site operations into reliable, scalable growth engines.
In this special episode of “In the Queue“, Gobillot helps leaders understand how to resist the pressure to adopt AI while first asking whether it’s appropriate.
Emmanuel Gobillot is among the world’s foremost thinkers and authorities on leadership. He is described as “the first leadership guru for the digital generation.” People also refer to him as “the freshest voice in leadership today.” He provides consulting to CEOs across countries and industries.
Many of today’s leaders are spurred on by headlines warning of the danger of “being left behind.” They have come to frame technological progress as some kind of Darwinian process. Anyone questioning its application, value, and worth risks being a future victim of natural selection. Decisions that feed leaders’ fears of obsolescence, in turn, drive their need for obedience. This herd mentality drives copycat behavior without clear objectives.
When leaders become awestruck by AI and treat its adoption as inevitable, they stop asking whether it’s appropriate. But it’s critical to remember that, as leaders, we are the stewards of the values, purpose, and culture of our organizations. It’s our role to make choices. As leaders, we have to filter, question, and ultimately decide to employ a new tool based on our purpose rather than any pressure we may feel.
Drawing from his 20 plus-years of consulting across countries and industries, Emmanuel Gobillot addresses critical leadership concerns, including:
-How to protect our human edge while embracing technology -How our curiosity, compassion, and imperfections aren’t faults but competitive advantages -How vulnerability outperforms perfection -How an ethical lapse in the world of rapid automation will multiply exponentially -How to recognize when to make the decision to slow down or abandon a pursuit entirely
A business owner told me recently, “Mike, I tried AI—garbage. It doesn’t work.”
I asked what they typed.
“Write me a marketing email.”
That right there is the problem.
Most people don’t get bad results from AI because the technology is broken. They get bad results because they gave vague instructions and expected a specific outcome. In operations, we already know how this movie ends: unclear inputs create inconsistent outputs, rework, and frustration.
That’s why I teach this simple idea:
The Prompt is The SOP
If you treat your prompt like a real work instruction—clear, specific, structured—AI becomes useful fast. If you treat it like a wish, you’ll get wishful output.
This post breaks down a beginner-friendly prompt framework. It gives you copy/paste examples for marketing, customer support, and process documentation. This way, you can get real value from AI without needing to be “technical.”
Why prompts matter (more than the model)
AI is closer to a fast intern than a magic employee.
A fast intern can be incredible. But only when you give them a strong brief:
What are we trying to accomplish?
Who is it for?
What does “good” look like?
What are the rules?
When you skip those pieces, you get generic work. And generic work doesn’t move the business forward—it just creates more editing.
Small business owners don’t have time for that.
The new episode of “Mike Schiano In the Queue” covers this topic where you get your Podcasts.
Instead of asking AI to “help,” you give it a task. You assign it just like you would assign work to a team member.
The simple prompt framework: Task, Context, Format (plus two upgrades)
If you want one framework you can remember and teach your team, use this:
Task – What you want done (the outcome, not the topic)
Context – The details that matter (business, customer, offer, constraints)
Format – What “done” looks like (email, checklist, table, script, etc.)
Then add two upgrades that dramatically improve consistency:
Role – Who the AI should act as (support manager, ops leader, marketing copywriter)
Constraints – The rules (tone, length, what to avoid, must-include items)
That’s prompt engineering in plain English. No jargon required.
Example 1: “Write a marketing email” (and why it fails)
Let’s start with the most common prompt I see:
“Write a marketing email for my business.”
The issue isn’t that the AI can’t write. The issue is that it has nothing to anchor to. There is no goal, no audience, no differentiators, no offer details, and no tone boundaries.
Here’s the upgraded version that actually performs:
Copy/paste prompt (Marketing Email): You are a small business copywriter. Task: Write a marketing email that drives phone calls (or bookings). Context: My business is [type], we serve [city/area]. Best customers are [persona]. Our differentiators: [3 bullets]. Offer: [what you’re promoting]. Common objections: [price/timing/trust/etc.]. Format: Subject line + preview text + email body + P.S. Constraints: Under 180 words, warm and confident, no hype, one clear call-to-action to call or book.
Notice what changed: we stopped asking for “content” and started giving a brief.
That’s the difference between AI that “sort of helps” and AI that produces something you can actually send.
Example 2: Customer support that de-escalates (without creating risk)
Another place small businesses get burned is customer support.
Someone sends a heated message: “This is defective. I’m telling everyone. This is unacceptable.”
If you prompt casually, AI might accidentally:
admit liability,
make promises you can’t keep,
or escalate the tone.
Instead, you want a response that’s calm, clear, and resolution-focused—while protecting the business.
Copy/paste prompt (Support Reply): You are a customer experience manager. Draft a response to this customer message: [paste message]. Goals: De-escalate, protect the brand, move to resolution. Format: Email reply only. Constraints: Be empathetic. Do not admit legal liability. Offer two options (refund/replace OR troubleshooting + call). Keep the response under 120 words. End with one question to move forward.
That prompt is basically a support policy encoded in writing. Again: prompt = SOP.
Example 3: Build SOPs faster (where operators win)
This is the part that excites me most as an operations person.
Small businesses can use AI to create the first draft of SOPs, checklists, QA rubrics, and training guides—fast. Not as a replacement for leadership, but as a speed multiplier.
Let’s say you need a simple procedure for handling customer no-shows.
Copy/paste prompt (SOP Builder): You are an operations leader. Create an SOP for: “Handling customer no-shows.” Audience: New hire on day 3. Context: We schedule 30-minute appointments. We allow a 10-minute grace period. We confirm via text. We reschedule once without fee. The tone should be polite but firm. Format: Purpose, trigger, numbered steps, exception handling, and a QA checklist. Constraints: 8th-grade reading level; keep it practical and brief.
This is how AI stops being a novelty and becomes part of your operating system.
Three ways to look like the adult in the room with AI
If you want AI to be useful across a team—not just in your own browser—do these three things.
1) Create a prompt library
A “prompt library” is just a shared doc with your best prompts for repeatable work:
sales follow-ups,
customer responses,
SOP templates,
hiring scorecards,
meeting notes → action plans.
This turns one person’s experimentation into a company asset.
2) Use simple structure so nothing gets missed
Headings like:
TASK:
CONTEXT:
FORMAT:
CONSTRAINTS:
…make prompts easier to reuse and easier for AI to follow. It also makes it easier for a team member to review and improve.
3) Add a QA-style self-check
This is a pro move that’s still simple:
“Before finalizing, verify you included [X], avoided [Y], and matched tone [Z]. Then rewrite the final.”
Operators understand checklists. AI responds well to them. It’s a natural fit.
The real goal: predictable output, not “cool AI”
Most businesses don’t need AI that’s flashy.
They need AI that’s consistent.
When you standardize prompts the way you standardize processes, you reduce rework and get repeatable quality. That’s what creates ROI. And that’s why prompting isn’t a “tech skill”—it’s a management skill.
Try this today (10 minutes)
Pick one recurring task you do every week—just one:
writing a customer reply,
drafting a marketing email,
turning notes into actions,
creating a checklist,
rewriting a web page section.
Rewrite your prompt using: Task + Context + Format Then add: Role + Constraints
Run it three times, tighten it, and save it to your prompt library.
That’s how you start building an AI-ready business without hiring a giant team or buying a complicated platform.
Want a prompt upgrade?
If you tell me the exact task you want AI to help with, I’ll suggest the single best “missing piece” to add to your prompt. Specify whether it’s marketing, customer support, hiring, SOPs, or meeting follow-ups. This will improve the output.
P&L Ownership and Workforce Design: Where EBITDA Is Really Won
A lot of leaders say they “support” the P&L. Far fewer have actually carried it.
In my roles, I’ve owned P&Ls ranging up to $60M. I have owned accountability for growth, margin, and capital decisions. When you’re on the hook for the number, you stop treating workforce, operations, and tech as separate conversations. They become the same conversation.
How I think about revenue and margin
On the revenue side, I usually come back to four practical levers:
Capacity
Throughput
Referral flow
Clean billing
Margin is where most teams say they focus, but the work gets real specific, real fast:
Staffing models and productivity (what we staff, when we staff, and what “good” looks like)
Supply discipline and waste (the quiet killers)
Denial prevention and plugging revenue-cycle leaks
Capital ROI tied to removing constraints, not “nice-to-have” projects
Budgets and forecasts can’t be “last year plus x%.” I anchor planning in leading indicators and operational drivers that show up weeks earlier than the financials.
Workforce Design is a quality lever and a growth lever
Staffing isn’t just the biggest expense line. It’s the lever that determines speed, quality, customer experience, and capacity creation.
The approach that’s worked best for me looks like this:
Scheduling templates that match capacity to demand (not gut feel)
Fixing no-shows, documentation flow, and billing cleanliness to give time back
Clear productivity expectations that are sustainable, not burnout math
Monthly business reviews shouldn’t be slide parades. They should answer three questions:
What changed in our leading indicators?
What did that do to revenue, margin, quality, and experience?
What will we do differently in the next 30–90 days?
I also separate what we control (productivity, staffing, workflows, documentation) from what we influence (referrals, provider supply). That keeps accountability fair and makes execution better.
If you’re staring at your P&L and wondering why “operational excellence” isn’t showing up as EBITDA, let’s talk.
Most operations teams are busy. Far fewer are actually creating enterprise value.
When I step into a multi-site organization, I run the business like an investor. First, I start with outcomes. I then design the operating model around what “good” looks like. Finally, I hold leaders accountable for the few metrics that truly matter.
Outcomes over activity
Never start with “how hard everyone is working.” I start with clear definitions of success:
What does “good” look like for revenue, margin, quality, and experience?
How will we instrument it down to the site, team, and leader level?
How will we review it weekly, monthly, and quarterly?
I separate leading indicators (capacity, throughput, referral flow, authorization cycle time) from lagging indicators (revenue, margin, quality). If we only manage to lagging metrics, we’re already too late.
The operating system: KPIs, cadence, governance
Every high‑performing operation I’ve run has three things in common:
KPIs: A short list of leading and lagging metrics that everyone understands and can influence.
Cadence: Weekly execution reviews, monthly business reviews, and quarterly strategy resets relentlessly focused on root causes and actions, not storytelling.
Governance: Clear decision rights, escalation paths, and cross‑functional forums so decisions don’t die in meetings.
Compliance, quality, and safety are designed into workflows—not bolted on afterward. I define non‑negotiables (quality, safety, documentation, escalation) and then give local leaders room to optimize within those guardrails.
What this looks like in the first 90 days
When I take on a new portfolio or region, my first 60–90 days look like this:
Baseline every site.
Segment each into Protect & Grow, Stabilize, or Turnaround tiers.
Assign interventions and owners, and review progress weekly against a simple scorecard.
The result is an operating discipline that scales. Leaders know what’s expected. Teams know how they’re measured. The C‑suite sees a direct line between operational levers and financial outcomes.
If you lead a complex, multi-site operation, I’m available for a chat. You might want an outside perspective on your operating model. I’m always open to a brief conversation.
