Smarter systems. More room to grow.
We design and build automation, integrations, and practical AI for growing businesses. Faster lead follow-up, less manual work, and room to scale without overhead growing at the same rate.
A lead follow-up we might build. Plain automation for most steps, AI for one, and in this example nothing reaches the customer until you approve it.
New inquiry follow-up Illustrative
Example run
09:41
- Inquiry arrives from the website form Handled by Automation Using Web form Done at 09:41:02.
- Matched to the contact record Handled by Integration Using CRM Done at 09:41:03.
- Summarized, with the likely service flagged Handled by AI Using Language model Done at 09:41:05.
- Follow-up drafted, waiting for your approval Handled by You Using Email Waiting.
- Reminds you if there’s no reply in two days Handled by Automation Using Calendar Scheduled.
Small manual jobs pile up as a business grows. Most of them look something like this.
- Follow-ups slip. New inquiries wait in an inbox until someone has a minute, and some never get a reply.
- The same details get typed into several tools. A new customer or order is copied from one system to the next by hand, and small mistakes creep in.
- Reports are built by hand. Someone exports, pastes, and reformats the same numbers every week before anyone can use them.
- Answers live in one person’s head. How something works, or where it’s kept, depends on asking the one person who knows.
Growth is the goal. The systems are how we make room for it.
-
More revenue opportunities
Inquiries get a prompt, consistent reply, past customers hear from you at the right moments, and leads that go quiet are flagged instead of forgotten.
-
Less manual work
Details move between your tools on their own, routine steps run in the background, and reports update from the systems you already use.
-
Room to scale
When volume goes up, the same systems take on more of the routine work, so overhead doesn’t have to grow at the same rate.
We build what the problem needs. Often that’s simpler than AI.
-
Workflow Automation
Software takes over the repetitive steps that follow the same rules every time: routing, reminders, hand-offs, and updates between people and tools.
Can include
- Inquiry and lead routing
- Follow-up and reminder sequences
- Approvals and hand-offs between people
- Scheduled reports and alerts
-
AI Solutions
AI for steps that involve reading, sorting, or drafting language, like summarizing inquiries or answering questions from your own documents. When a simple rule or software you already have does the job reliably, AI is the wrong tool, and we’ll say so.
Can include
- Inquiry summaries and triage
- Drafted replies for your review
- Assistants that answer from your own documents
- Pulling details out of emails, forms, and PDFs
-
Integrations & Custom Tools
Connecting the tools you already use so information moves between them without retyping, plus small custom tools where off-the-shelf software doesn’t fit.
Can include
- CRM and marketing system integrations
- Syncing data between apps through their APIs
- Lightweight internal tools
- Dashboards and reporting across several sources
A few systems we’d build. Each one starts with a specific problem.
These are illustrative scenarios: a problem, what we’d build for it, and who handles each part.
-
Online orders into accounting
Illustrative
- Problem
- Each online order is retyped into the accounting system and a shipping spreadsheet.
- What we’d build
- An integration that sends every new order where it needs to go, with a daily list of anything that doesn’t match.
Who handles each part
- Integration
- Sends each new order to accounting and the shipping tool
- Automation
- Builds a daily list of orders that need a second look
- AI
- Not needed for this one
- You
- Check the list and sort out the exceptions
-
The Monday numbers report
Illustrative
- Problem
- Every Monday, someone exports figures from three tools and pastes them into a spreadsheet.
- What we’d build
- A report that pulls from each tool on a schedule and arrives ready to read.
Who handles each part
- Integration
- Pulls figures from the CRM, ad accounts, and accounting tool
- Automation
- Assembles the report and flags figures that moved more than usual
- AI
- Drafts a short note on what changed, for you to check
- You
- Read it and decide what to act on
-
Answers to routine internal questions
Illustrative
- Problem
- Staff ask the office manager the same questions about procedures, pricing rules, and where files live.
- What we’d build
- An internal assistant that answers from your own documents and links to the source of each answer.
Who handles each part
- Integration
- Connects to the shared drive where your documents already live
- AI
- Finds the relevant passage and answers in plain language
- Automation
- Logs questions it couldn’t answer
- You
- Keep the documents current and fill the gaps it finds
Start with one problem, not a transformation. Then decide what comes next.
-
1 Discovery
We look at how the work happens today: the steps, the tools, and where the time goes. Then we choose the problem worth solving first.
You get a short written plan for the first system: what it does, what it connects to, and where AI does or doesn’t belong.
-
2 Build
We build the system, connect it to your tools, and test it against real examples before it runs on its own.
You get a working system, a walkthrough of how it runs, and plain notes on how to change it.
-
3 Improve Optional, ongoing
Once it’s running, we keep it working, adjust it as your tools and processes change, and add the next piece when it’s worth doing.
You get someone who already knows your systems when something needs to change.
Chris Sciolla. The person who scopes your project builds it.
I’m a software engineer and growth technologist with over 15 years of experience helping businesses grow through technology. Throughout my career, I’ve worked across software engineering, marketing technology, analytics, and automation, building systems that streamline operations, improve efficiency, and support sustainable growth. I founded Quiet Lever to bring that experience directly to small and growing businesses, combining hands-on technical expertise with a practical understanding of business challenges to help them work smarter, scale efficiently, and uncover new opportunities.