Quotes that follow up on themselves
A quote goes out and its follow-ups schedule themselves. Instead of losing bids to silence, you get a short list of who's gone quiet and who's worth a call.
We help you find where AI fits, then we build it into how you work, and train your team to use it.
- Saved for businesses
- $0k+
- Building in AI
- 0 yrs
- Industries served
- 0+
Industries we work in
- Physical operationsManufacturingConstructionUtilitiesLogistics
- Expert servicesLegalHealthcareRecruiting
- Revenue teamsB2B salesOutbound marketing
You see the potential, but your process is still manual.
You can use ChatGPT or Claude to draft, summarize, and research, but you still end up copying between spreadsheets, inboxes, and tools. AI is helping around your work, not inside it. So the same work still waits on someone (you) to move it forward.
It all runs through you
Follow-ups, updates, and hand-offs all wait on one person. When that person is busy, the work waits too.
Leads wait in your inbox
A new lead sits while you're heads-down on something else. By the time you reply, the moment has passed.
Admin fills the week
Quotes from scratch, reports rebuilt by hand, the same admin every week. Over a year it's a salary's worth of hours, paid in your attention.
Good ideas never get built
A useful prompt, a half-built automation, a tool you meant to roll out. The idea was never the hard part. Building it in is.
We automate the admin, not your judgment.
You still set the prices and make the promises. The follow-ups, the CRM entries, the reminders you keep in your head - that's the part we take off your plate.
Reports that show up finished
Reports pull from the tools you already use and land ready for review. You read them instead of building them.
Leads answered before you're back at your desk
New inquiries get logged and answered with a draft reply waiting for your approval, so a lead isn't sitting in your inbox while you're busy elsewhere.
One view of what's stuck
Monday morning, one screen shows what's late and what needs a push, pulled from the tools you'd otherwise open one at a time.
How it works
- 01
IDENTIFY WHAT TO BUILD
We walk through how work actually moves in your business and choose the workflow where automation pays off fastest, including what should stay human.
- Real workflow walkthrough
- Fastest payoff first
- Human judgment protected
- 02
BUILD IT INTO YOUR TOOLS
We build it into your existing tools and run it on real work, human-reviewed where it matters. You commit to more only after you've seen it earn its keep.
- Built into your tools
- Run on real work
- Human-reviewed where it matters
- 03
TRAIN AND IMPROVE
We train your team, document how the system works, and keep improving it as real use shows what needs to change. When it's ready, we extend it into the next workflow.
- Team training and education
- Iteration from real use
- Next workflow when ready
You work directly with a builder.
I've helped scale technology startups past $30M and spent years as a senior software engineer before starting Dayshift Systems. I've reviewed hundreds of software patents for the U.S. government and worked across manufacturing, utilities, and legal - so I've seen which systems survive once a real team has to run them.
I write the code and build the workflows myself. I stay current on AI models and agent systems, but the real work is knowing the difference between what is useful and what is hype. I use AI when it solves a real problem - and straightforward automation when it does not.
When we work together, I'm the one doing the work. I map your workflows with you, build around how your team actually operates, and stay accountable for whether the system runs. Nothing gets handed off to a team you never meet.
★★★★★
“Kevin has a strong ability to explain technical concepts clearly to non-technical business owners and make complex AI systems feel practical and approachable.”
★★★★★
“At every milestone, he sent details and SOPs and asked us to review the work to make sure it was what we wanted.”