MSTRO Intelligence Sprint
From Disconnected Systems to Real-Time Answers and Action in 30 Days
Deploy a working AI-powered capability across your systems - no rebuild, no data movement, no waiting on IT.
Most companies are investing in AI, but it can’t access real business data in real time. That’s why it never delivers.
Learn more and secure your spot. Limited time offer.
This is not a pilot. This is a production system
Stop Renting Software You’ll Never Actually Control.
Most IT leaders are managing a stack of SaaS subscriptions that technically work but never quite fit. You’re paying monthly for tools that own your data, set your limits, and update on their schedule. When you want something to actually work together, there’s a professional services engagement waiting for you. And another one after that.
The AI layer is the same story. Every platform wants to pull your data somewhere, index it somewhere, and give you access to it through their interface on their terms. You get capabilities. They get control.
The MSTRO System Sprint changes that math.
We deploy MSTRO directly into your hosted environment. Your data stays where it is. Your existing systems keep running. We connect MSTRO to the sources you designate, configure it around your organizational context, build out your first working business application, train your team, and hand it to you. Fully operational. Fully yours.
Example Rollout Schedule
WEEK 1
We install and activate.
MSTRO goes into your environment, your organizational memory gets configured in mCore, your target systems get connected and validated, and we lock in the first use case. By end of week, you’ve got a live intelligence layer and a clear build target.
WEEKS 2 - 4
Deploy & Stabilize.
The first application goes live on your real data. Users get trained. We monitor, adjust, and confirm the environment is solid before moving on.
WEEKS 4 - 8
Hand off.
Final validation, adoption support, and a clear picture of what you’ve got and where it goes next. Your team owns it. Your team runs it.
What You Walk Away With
A fully provisioned MSTRO instance in your environment. Your systems connected. mCore configured with your organizational context. One working business application running on live data. A trained user group ready to operate independently. Documentation of what’s built and what’s next.
This is how AI actually works in a business
Instead of moving data or rebuilding systems, MSTRO connects directly to what you already have.
It creates a real-time intelligence layer across your business so you can:
access data across systems instantly
ask questions and get answers in real time
trigger workflows and take action immediately
No pipelines. No duplication. No delays.
The MSTRO Operational Intelligence System
One problem. One sprint. One working solution.
In 30–60 days, we deliver a working capability your team can actually use.
Not a dashboard or just a pilot.
We deploy something your team can actually use.
Instead of switching between systems or waiting on reports, your team can:
see what’s happening across the business in real time
identify issues before they escalate
take action immediately based on live data
All from one place.
All using the systems you already have.
If it’s a fit, we scope it and move. If it’s not, you’ll leave with a clearer picture of your integration gaps and what it would actually take to close them.
Why this works
Why this works when everything else stalls
Works on top of your existing systems
No data migration or duplication
No dependency on IT backlogs
Built on live, real-time data
Designed for execution, not experimentation
Built for teams that need to move now
Organizations with multiple disconnected systems
Teams exploring AI but not seeing results
Leaders blocked by integration delays
Anyone tired of waiting on data to act
Let’s Create your first use case
In 20 minutes, we’ll:
identify a high-impact opportunity
show how it would work across your systems
outline what a sprint would look like
If it’s a fit, we scope it and move. If it’s not, you’ll leave with a clearer picture of your integration gaps and what it would actually take to close them.