InTech Operate
Managed operations for the applications, integrations, and AI workflows your business depends on. One accountable team keeps them reliable, governed, and improving.
Start with our AI agent. Find your next step.
Bringing an existing system?
Request a Managed Transition AssessmentThree layers. One accountable team.
One accountable team stays responsible from opportunity through operation. Specialists join as needed, and because intent, decisions and context are written down under CRAFT, they carry forward when people change. Launch is not where our responsibility ends.
Keep the applications and integrations your business relies on dependable, recoverable, and supported.
Keep model behavior within explicit boundaries, with evaluations, permissions, and human control.
Use operating evidence to decide what to improve next, then verify the business result.
InTech Operate applies proven managed-service and site-reliability engineering practices to the systems we are positioned to understand and improve.
Two ways in
Build to Operate
We designed and built the system. Operational readiness, observability, evaluations, and runbooks are part of the delivery plan — not negotiated after launch.
Take Over to Transform
We assess and stabilize what already exists, accept responsibility only after explicit criteria are met, then use operating evidence to drive modernization and AI priorities.
Before we take responsibility
A takeover begins with a Managed Transition Assessment. No fixed operational promise is sold against unknown architecture, debt, ownership, or recovery risk. We’ll decline a system that cannot be governed.
Request the assessmentThe quarterly value review
A quarterly value review is a business meeting, not a ticket report. Your executive owner sees what the operating evidence showed, what changed because of it, and what we recommend improving next. The people in the room know your system, because they run it.
Every review identifies what operating evidence changed, what action follows, and how the next improvement will be verified.
See how the value review fits the journeyAn illustrative service snapshot
Example metrics, not a live client system or a service commitment.
Reliability metrics earn trust. AI evaluations control behavior. Business telemetry determines what improves next.
The operating agreement
Who runs what, who decides what, and what the business needs. Written down before service begins.
Operating trouble usually starts where ownership was assumed rather than agreed. Here is the shape of the model.
| RESPONSIBILITY | INTECH | CLIENT | SHARED |
|---|---|---|---|
| Application & integration monitoring | Yes | No | No |
| Incident response & problem management | Yes | No | No |
| Release controls in supported scopeClient approves production releases | Yes | No | No |
| AI evaluation execution & reporting | Yes | No | No |
| Business policy & final decision authority | No | Yes | No |
| Subject-matter expert availability | No | Yes | No |
| Outcome metrics & quarterly value review | No | No | Yes |
| Improvement roadmap | No | No | Yes |
Exact ownership depends on the supported system, coverage tier, risk classification, and client controls. Responsibility is documented before service begins.
Coverage, response, and restoration objectives are defined per system and severity before service begins.
Tell us about the application, integration, or AI workflow that is fragile, ungoverned, or quietly expensive. A Managed Transition Assessment shows both of us what it would take for InTech to run it.