Service pillar
The team that built it can keep it running.
Svorus supports applications, cloud infrastructure, and AI systems with monitoring, incident response, maintenance, and improvement loops.
Jump to a capability
Overview
This pillar keeps shipped systems healthy after launch through structured support, observability, incident handling, and improvement planning.
Application managed services
What breaks without it
Applications decay when bug fixes, dependency updates, monitoring, and support ownership are treated as afterthoughts.
How Svorus approaches it
We maintain application health through defined support levels, release hygiene, and regular improvement reviews.
Deliverables
- Support scope and SLA model
- Maintenance backlog
- Dependency and security update workflow
- Monthly service review
Cloud infrastructure management
What breaks without it
Cloud environments drift when changes, cost, access, and reliability signals are not reviewed continuously.
How Svorus approaches it
We monitor cloud health, costs, access changes, backups, and platform reliability with clear operating routines.
Deliverables
- Cloud operations checklist
- Cost and usage reporting
- Backup and recovery checks
- Infrastructure change review
AgentOps monitoring
What breaks without it
AI agents need live oversight because prompts, tools, model behavior, costs, and user feedback change after launch.
How Svorus approaches it
We monitor agent runs, failures, approval patterns, costs, and evaluation drift as a managed operating loop.
Deliverables
- Agent run monitoring
- Evaluation drift review
- Prompt and tool change process
- Cost and failure reporting
Incident response and on-call
What breaks without it
Incidents get worse when escalation paths, severity levels, ownership, and recovery steps are unclear.
How Svorus approaches it
We define incident routines and support the response process with runbooks, escalation, and post-incident learning.
Deliverables
- Severity and escalation model
- On-call schedule support
- Incident runbooks
- Post-incident review process
Where this applies
Relevant industries
Related work
Product and case-study proof
Related work should connect service claims to verified Svorus products, repository-backed case studies, or clearly labeled lab projects.
SupportOps Agent: AI support workflow lab
SupportOps Agent is a Svorus Lab concept for AI-assisted support operations with ticket triage, retrieval, tool calls, human approval gates, and agent observability.
Enterprise RAG Copilot: document intelligence lab
Enterprise RAG Copilot is a Svorus Lab concept for private document intelligence with ingestion, hybrid retrieval, cited answers, governance, and evaluation loops.
Voice Booking Agent: realtime AI calling prototype
Voice Booking Agent is a Svorus prototype concept for realtime AI calling with slot extraction, calendar and CRM tools, transcript review, and human handoff controls.
Visual Inspection AI: defect detection lab
Visual Inspection AI is a Svorus Lab concept for computer vision defect detection with edge capture, anomaly localization, human review, and model feedback loops.
Eleviy: AI fitness and nutrition product
Eleviy is a Svorus-owned AI fitness and nutrition product with a Flutter mobile app, FastAPI backend, multimodal meal analysis, personalized coaching, and workout generation.
Loveton: mobile-first relationship app for couples
Loveton is a Svorus-owned couples app with a Flutter mobile experience, FastAPI backend, real-time partner interactions, shared rituals, mini-games, subscriptions, notifications, and media workflows.
Glowskin: AI skin and hair coaching platform
Glowskin is an AI skin and hair coaching case study with a Flutter mobile app, FastAPI backend, Gemini image analysis, routine generation, ingredient scanning, subscriptions, tracking, and compliance pages.
Sample engagement: AI-assisted operations review for fintech teams
An illustrative example of how Svorus could help a fintech operations team triage exceptions with governed agentic workflows.
Sample engagement: Healthcare intake platform modernization
An illustrative example of a privacy-aware intake workflow that connects product engineering, integration, data, and cloud reliability.
Sample engagement: Live-ops dashboard for a game studio
An illustrative example of a live-ops and analytics dashboard for a game team managing events, telemetry, and player-facing changes.
FAQ
Questions this service usually raises
Can Svorus manage systems it did not build?
What does managed support include?
Do you provide 24/7 support?
How do you report service health?
Scope the AI product, agent, SaaS, or platform you want to build.
Bring the workflow, data, users, integrations, and constraints. We will help shape the first responsible release path.