InTech Operate — Managed AI, Application & Workflow Operations
We run the system, govern the AI, and improve the outcome.
We operate the systems your product or business depends on — keeping them reliable, keeping AI behavior under explicit control, and continuously improving the business result they exist to move. Launch is where our responsibility begins, not where it ends.
One accountable team stays responsible from opportunity through operation. Specialists join as needed, but context, intent, and ownership never reset.
INTECH OPERATE / QUOTE-TO-ORDER WORKFLOWWITHIN SLO
ILLUSTRATIVE EXAMPLEAVAILABILITY
99.95%
Within SLO
NIGHTLY AI EVALS
142 / 142
No regression
OPEN EXCEPTIONS
11
↓ 34% this quarter
COST PER COMPLETED QUOTE
$0.84
↓ 18%
INCIDENT → IMPROVEMENT
- INC-042Third-party timeout runbook + retry policy + regression eval
- EV-118Override spike prompt rule adjusted, review threshold retained
- COST-07Unit cost drift model routing changed, cost per completed quote down 18%, no quality loss
NEXT VALUE REVIEWQuarterly · executive owner · roadmap refreshed
Reliability metrics earn trust. AI evaluations control behavior. Business telemetry determines what improves next.
Managed Adaptation — Not Managed IT
If you're picturing a help desk, picture again.
InTech Operate applies mature MSP and SRE disciplines — but to the systems we're positioned to understand and improve, not to endpoints and printers.
WHAT WE DON'T OPERATE
- Endpoints, devices, and printers
- Generic help desk and password resets
- Network and Microsoft administration
- Undifferentiated infrastructure support
- Ticket queues with no outcome accountability
- Systems we cannot access, understand, govern, or measure
WHAT WE DO OPERATE
- Custom applications your business depends on
- Integration estates and data pipelines
- AI-enabled products, agents, and workflows
- The cloud platforms underneath them
- The business outcomes they exist to move
- The evaluations and controls that keep AI behavior in bounds
The Service, In Three Layers
Most partners keep it running. We keep it improving.
1 · Run the system
- Monitoring against defined service objectives
- Incident and problem management
- Change and release controls
- Integrations, maintenance, and recovery
- Security practices and escalation paths
2 · Govern the AI
- Evaluation suites run on every change
- Model and prompt change management
- Human override and exception handling
- Tool permissions and policy compliance
- Cost, latency, and portability watch
3 · Improve the outcome
- Adoption and user-behavior telemetry
- Exception-pattern analysis
- Business-outcome measurement
- New-capability opportunity scans
- A continuously refreshed value roadmap
Every quarterly value review identifies what operating evidence changed, what action follows, and how the next improvement will be verified.
Two Ways In
Start from what we built — or what you already have.
We built it. We stand behind it.
We designed and built the system. Operational readiness, observability, evaluations, and runbooks are part of the delivery plan — not negotiated after launch.
- Operational readiness built into the Pod roadmap
- Runbooks, observability, and evals ship with the system
- No context-losing transition into Operate
- Telemetry feeds the next Pod cycle
The Gate
We don't promise against unknowns.
A takeover begins with a Managed Transition Assessment. No fixed operational promise is sold against unknown architecture, debt, ownership, or recovery risk — and we'll decline a system that can't be governed. The willingness to say no is what makes the yes worth something.
THE ASSESSMENT ANSWERS
- Who owns the code, infrastructure, data, and vendor contracts?
- What incidents, outages, and recurring defects have occurred?
- What monitoring, documentation, backups, and recovery testing exist?
- Which promises secretly depend on third parties?
- What AI models, prompts, tools, permissions, and evaluation assets are in production?
- What data restrictions or compliance obligations apply?
- What must be remediated before we can accept responsibility?
- What coverage does the business truly require?
Shared Responsibility
Written down before service begins.
Operating trouble usually starts where ownership was assumed rather than agreed. Here is the shape of the model — who runs what, who decides what, and where the two of us work together.
| RESPONSIBILITY | INTECH | CLIENT | SHARED |
|---|---|---|---|
| Application & integration monitoring | Yes | No | No |
| Incident response & problem management | Yes | No | No |
| Release controls in supported scope | Yes | No | Yes |
| AI evaluation execution & reporting | Yes | No | Yes |
| 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
Coverage matched to the business — examples, not defaults.
Business-hours
- Weekday coverage aligned to your operating hours.
- Suited to internal workflow systems where the business absorbs an overnight pause.
- Monitoring runs continuously; response starts when the coverage window opens.
Extended-hours
- Early-to-late coverage across US and Latin America working hours.
- Suited to customer-facing applications with demand outside a single time zone.
- Escalation paths defined for severities that cross the window.
Critical 24/7
- Around-the-clock response for systems with a justified business requirement.
- Suited to revenue-critical or safety-relevant workflows.
- On-call rotation, severity definitions, and restoration objectives agreed in advance.
Coverage, response, and restoration objectives are defined per system and severity before service begins.
The 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.
- Outcome metrics against the baseline we agreed
- Incidents, overrides, and what each one changed
- The next constraint, and how its fix will be verified
How It's Structured
Not unlimited engineering. Defined, priced, and honest.
01
Managed-service baseline
The core run-and-govern scope
02
Coverage & response tier
Matched to what the business needs
03
System complexity
Priced to what we actually support
04
Improvement capacity
Defined continuous-improvement work
05
Direct consumption
Cloud, model, and vendor consumption shown separately and transparently
From Friction to Proof
What are you running that no one truly owns?
Tell us about the application, integration, or AI workflow that is fragile, ungoverned, or quietly expensive. The assessment tells us both exactly what taking control would take.