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Answer
The voice agent handles inbound calls, captures issue context, and gives the caller a structured first response.
About
Skanetic is building practical AI systems for MSPs and IT support teams. We care about the full path from first contact to technical action: answering the issue, understanding it properly, and helping move it toward resolution.
What We Do
Skanetic sits between an incoming issue and the technical team that has to solve it. The job is not just to answer the contact. The job is to improve the quality of understanding and the quality of the next step.
Support teams lose time when calls are missed, messages are vague, ticket notes are incomplete, and first-line staff have to reconstruct the issue from scratch.
We use AI where it is genuinely useful: better intake, better issue understanding, better use of technical runbooks, and safer endpoint diagnostics in managed environments.
Framework
This is the clearest way to understand the product direction.
01
The voice agent handles inbound calls, captures issue context, and gives the caller a structured first response.
02
The knowledge layer synthesises previous issues, documentation, and technical runbooks into something more useful for triage and guidance.
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The endpoint layer performs managed diagnostics and supports approved actions so the workflow can move toward an actual fix.
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As the system sees more issues, the workflows, runbooks, and handoffs can be refined to reduce first-line friction over time.
What We Believe
We care more about reducing repeated questions and shortening time-to-resolution than about impressive but hollow demos.
A support system gets much stronger when it can reason from runbooks, prior issues, and technical patterns rather than a blank prompt.
Diagnostics and remediation have to operate within managed IT controls, with approval, visibility, and auditability.
Summary
Voice is part of the story, but not the whole story. The real product is the support workflow around it.