Run critical technology reliably. Improve it continuously.
Support that only closes tickets keeps a platform alive without improving it. INFOC operates applications, cloud, security, data and AI under one model, with named owners, service levels and a visible improvement backlog.
Service towers
One accountable model across the Microsoft estate.
One accountable model, sized to business criticality.
Applications
Business Applications
Business Central, Dynamics 365, Power Platform, extensions, integrations, environments, release and user support.
Cloud + work
Cloud & Modern Work
Azure, Microsoft 365, identity, endpoint, backup, collaboration, licensing and cost operations.
Security
Security Operations
Security posture, alerts, vulnerability, access, protection policy, investigation coordination and reporting.
Data + AI
Data & AgentOps
Fabric pipelines, semantic models, Power BI, AI agents, tracing, evaluation, incidents, cost and change.
Application management
Protect the transaction system and extension lifecycle.
ERP support must understand posting consequence, not just close tickets.
Prioritisation, triage, diagnosis, workaround, resolution, communication and knowledge capture.
Microsoft releases, extension compatibility, sandbox validation, regression testing and deployment.
Message health, API changes, failures, retries, ownership, reconciliation and partner coordination.
Posting issues, period locks, master data, number series, permissions, audit evidence and reconciliations.
Performance, process friction, automation, reports, roles, extension debt and adoption backlog.
Quarterly platform decisions, capability releases, AI opportunities, risk and investment sequence.
Cloud & workplace operations
Observe cost, health, security and user experience together.
Separate dashboards hide the problem that spans all four.
Operational coverage
- Azure health, backup, capacity, availability and cost
- Microsoft 365 service, collaboration and licence operations
- Identity lifecycle, privileged access and conditional-access review
- Endpoint posture, application deployment and update coordination
- Security configuration, alert handling and incident coordination
- Vendor, provider and third-party support management
Data platform & AgentOps
AI services need production operations.
Agents drift. Deployment is not completion.
Data reliability
Pipeline monitoring, freshness, quality, schema change, reconciliation, access and capacity.
AI behaviour
Tracing, task success, quality evaluation, safety, tools, latency, cost, feedback and regression.
Operational accountability
Approval, escalation, exception queues, incident ownership, rollback and change authorisation.
Service operating model
Make responsibility and escalation explicit.
The boundary is documented before transition, not after an incident.
Platforms, companies, environments, users, integrations, hours and exclusions.
Priority, response, resolution targets and reporting cadence.
RACI across INFOC, customer and third parties for each service.
Knowledge capture, access, runbooks and controlled handover.
Service reviews, risk, change authorisation and roadmap.
Backlog, automation, optimisation and measured outcomes.
Taking it over
Inherited environments, coverage and proof of value.
Can you support what another partner built?
Yes. Transition captures knowledge, access and runbooks so INFOC can operate an existing environment to defined service levels.
Do you cover AI and data platforms?
Yes. DataOps and AgentOps bring pipelines, semantic models and agents under observability, evaluation and controlled change.
How is value shown over time?
Service reviews report against SLAs and an improvement backlog, so operation and optimisation are both visible.
Next step
Tell us what you are running today.
Whoever built it, transition starts by capturing what exists before anything changes.