Monitoring coverage and service objectives
Agreed monitoring hours, targets, alerts, and how quickly we respond.
Vectrel's Ongoing Support keeps AI and software systems healthy after launch: monitoring, incident response, model checks, security updates, and prioritized improvements. The agreement spells out which systems are covered, how fast we respond, and who owns what.
Overview
Things change after launch: models drift, APIs and dependencies update, business needs move. Ongoing Support sets out the monitoring, upkeep, response, reporting, and improvement work for the systems we cover. The agreement makes the specifics clear: coverage hours, how fast we respond, how issues escalate, what you handle, and what we own.
Agreed monitoring hours, targets, alerts, and how quickly we respond.
A clear path for triaging, fixing, and communicating when something breaks.
Regular checks that decide whether to fix, retrain, or replace the model.
Keeping dependencies patched and security holes closed on the agreed schedule.
We review performance against a baseline before prioritizing any optimization work.
New features chosen through the roadmap, capacity, and release process we agreed on.
Regular reports and reviews covering uptime, incidents, and the health of your systems.
Illustrative use cases
Illustrative example: check a document-processing system against the standards you agreed on, assess new document types, and prioritize any fixes or retraining.
Illustrative example: watch an agreed set of platform signals, investigate regressions, and sequence performance or feature work through a shared roadmap.
Teams running AI-enabled or complex software systems that need defined engineering coverage after launch.
Technologies
FAQ
01
It can include monitoring, incident response, model checks, dependency and security updates, performance work, reporting, and prioritized improvements. The agreement names the systems covered, the coverage hours, the targets, how fast we respond, how issues escalate, the reporting cadence, and who does what.
02
It suits teams running AI-enabled or complex software that needs defined coverage after launch. We can support systems we built, or, after an assessment, systems built by someone else. Fit depends on the architecture, the documentation, the risk, the access, and how much you want us to own.
03
Model behavior can drift as the inputs change, and APIs, dependencies, security findings, and business needs move too. Defined checks and a clear incident process help you spot real changes early and decide when to fix, retrain, replace, or adjust how it runs.
04
Support can be a retainer or another defined service period. The agreement records the scope, the capacity, the coverage hours, the response targets, the reporting, the roadmap reviews, the exclusions, and any extra work. The shape depends on the system, the risk, the access, and how much you want us to own.
05
We can, after a technical assessment. We review the code, the infrastructure, the documentation, the access, the dependencies, and the known risks to decide whether support is workable. Some fixes may be needed before coverage starts, and whatever we take on is written into the agreement.
Every project starts with a conversation. Tell us what you are working on and we will take it from there.