How It Works
We build managed AI products and custom operating systems. That can mean a voice agent, lead follow-up workflow, reporting dashboard, custom CRM, document-processing agent, equipment monitor, or a larger platform connecting several of those jobs. See real delivered systems.
A subscription gives you access to software. We configure a managed product for a defined outcome or build a custom system around the way your operation actually works. Managed products include ongoing service; ownership and support for custom systems are defined in the written scope.
No. We handle everything: scoping, building, testing, and documentation. You don't need to know what an API is or how webhooks work. What you do need: a clear sense of what manual tasks are slowing you down, and the existing software tools we'll connect. We handle the rest.
We work with tools such as ServiceTitan, Jobber, Housecall Pro, HubSpot, GoHighLevel, QuickBooks, Stripe, Twilio, Google Workspace, Microsoft 365, Clio, and many industry-specific platforms. We prefer direct APIs and use workflow tools when they are the right fit. If your system exposes usable data or an integration path, we can usually connect it. We confirm that during scoping.
We spend 30 minutes reviewing your current tools, identifying the 3-5 highest-impact automations for your specific business, and giving you a clear scope: what we'd build, what tools we'd connect, and what it would cost. There's no obligation and no pitch. You get a written summary after the call.
Pricing & Timeline
Managed products have published packages or a clear configuration quote. Custom systems are priced from a written implementation scope based on integrations, logic, data, interfaces, and risk. You see the full cost, including expected third-party charges, before work begins. See the current breakdown on our pricing page.
Every business runs different tools and has different complexity. A lead follow-up sequence for a solo plumber is simpler than the same system for a 10-location dental group. We scope each project to an honest hour estimate, work against that scope, and don't bill for time beyond what was scoped without your approval.
Managed products include an ongoing Aplos service fee. Custom systems use a fixed implementation scope, with any support, hosting, model usage, phone, messaging, or third-party software costs listed separately before work begins. See the current breakdown on our pricing page.
Managed product configuration commonly takes 1–2 weeks after access is ready. Custom system timelines depend on integrations, data, interfaces, approvals, and risk; the delivery plan is written into the scope before work begins.
We can split larger projects into milestones: typically 50% upfront and 50% on delivery. For multi-phase projects, we invoice per phase. Reach out and we'll find a structure that works.
What to Expect
Active accounts on the software platforms we'll be connecting, access credentials (or an admin who can provide them), and clarity on the specific workflows you want automated. The audit call helps you get this straight before committing.
Usually no. We work with what you have. Occasionally a specific integration requires a plan upgrade on an existing tool (e.g., a software platform that only allows API access on higher tiers). We flag this during scoping: never a surprise after the build starts.
We provide 30 days of support after every build for bugs and fixes directly related to our work. If a third-party platform changes its API or breaks an integration, we'll diagnose the issue and quote a fix: usually a small amount of time relative to the original build.
Yes. Every build includes documentation and a walkthrough call. You'll know how to monitor the automation, how to update it for common scenarios (like changing the text in a message sequence), and who to contact if something looks wrong.
Yes. The industry pages represent our most common builds, but we've built automations for industries not listed. If you have a manual process that repeats, we can almost certainly automate it. Browse the industries we work in or start with the Book a Free Build Call to scope your specific situation.
Results & Expectations
Results depend on the workflow and the baseline. Before building, we define the operational measure that matters (response time, recovered leads, hours saved, invoice age, booking rate, or exception volume) and build the reporting needed to see whether the system is working. See measured examples on our case studies page.
We model the payback before we recommend a build. The answer depends on lead value, volume, labor saved, current conversion, and operating cost. If the conservative case does not justify the project, we will tell you not to build it.
We guarantee that we'll build exactly what was scoped, that it will work as specified at handoff, and that we'll fix anything that breaks within the first 30 days. We don't guarantee business outcomes: no honest automation shop does. What we do is give you conservative estimates based on real industry data and let you decide if the math makes sense.
Automation is best for repetitive, rules-driven work; people are best where judgment, trust, negotiation, and responsibility matter. We design systems to remove the repetitive layer and give the team better context, not to pretend every role should disappear. Read the full automation vs. hiring breakdown.
Yes. Starting with one measurable failure point is often the best approach. We can scope a focused workflow, prove it in the real operation, and only expand if the result justifies the next build. See how the process works.