AI Deployment is the build that follows the AI Opportunity Blueprint™. We take the workflows the Blueprint priced, connect them to the systems you already run, and stay until your team runs them without us for 30 days.
days your team runs it without us before we call the job done.
handoff documents: an Owner's Manual, a Loom walkthrough, a governance doc and an ROI report.
fixed project fee, quoted after the Blueprint. Any monthly support is quoted on its own line.
The Blueprint already mapped the workflow, flagged every manual copy-paste step and priced the fix. We turn that map into a build spec and one fixed fee.
We connect to the tools you run today (HubSpot, NetSuite, Microsoft 365, GoHighLevel) through their APIs. Your core systems and databases stay as they are.
Your people run the new workflow on live cases while we watch for the edge cases the map missed, then fix them before go-live.
Your staff are trained before go-live. Then they get the Owner's Manual, the Loom walkthrough and the governance doc, and run it for 30 days without us.
Hours back on the work they dislike.
The copy-paste, re-keying and status chasing goes to the system. Your staff keep the judgment calls, and they're trained on the new workflow before it goes live.
A number before the build.
Every build traces back to an ROI figure from the Blueprint. If a task won't save at least 20% of the time it takes, we drop it from the plan before anyone writes code.
Built on what you already pay for.
We work inside HubSpot, GoHighLevel, Make, Microsoft Copilot Studio and Power Automate, and the other tools you run today. Nothing gets ripped out and replaced.
Will deploying AI break our current software (CRM, ERP, etc.)?
We build on top of your existing stack. Your current tools (Salesforce, HubSpot, NetSuite) stay in place, and we connect AI to your data through secure API layers and platforms like Zapier or Make, without changing your core database. Your daily operations keep running while we build.
How long does a typical AI deployment take?
Most deployments go live in 2 to 6 weeks. A simple workflow can launch in days. A retrieval-augmented generation (RAG) system that needs data cleanup and security testing usually takes 4 to 6 weeks. You get the launch timeline during the AI Opportunity Blueprint™.
Is my company data secure when deploying AI models?
We build on zero-retention setups. Whether it's Azure OpenAI or a private Vertex AI environment, we configure it so your inputs are never used to train public models, and your data stays inside your own cloud tenant.
Do we need to hire developers to maintain the system after you leave?
No. We hand over low-code workflows your operations or IT lead can read and update, and we avoid black-box code wherever we can. For more complex custom agents, we offer monthly maintenance and support, quoted separately from the build.
Do you come to our office for the deployment?
For clients in Fort Wayne and the surrounding Midwest, yes. For clients elsewhere, most of the work happens remotely through secure cloud access, and we can come on site for the go-live session so your staff are trained and confident on day 1.
10 days, $5,000 flat, three workflows mapped and priced. Not sure it fits? Book 20 minutes and bring the task that eats your team's week.
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