Connected source material
Ingest supported ticket, knowledge, and historical-resolution sources into normalized records.
KNOWLEDGE & LEARNING
Connect tickets, runbooks, and resolution history to current work. Capture what actually happened so future recommendations have better context.
AutoSolve ingests configured sources, retrieves relevant tenant-scoped context, and records resolution feedback. Learning includes retrieval and ranking improvements; curated model training is an optional, controlled workflow.
WHAT YOU CAN DO
Ingest supported ticket, knowledge, and historical-resolution sources into normalized records.
Find relevant context within the tenant using the issue, category, and environment.
Use prior results and capability performance as context for selecting a useful response.
Record whether the issue was fixed, operator edits, quality feedback, and rollback outcomes.
Select suitable successful examples for optional fine-tuning rather than treating every action as training material.
Review configured model choices and evaluation before adopting an updated model path.
FOLLOW THE WORK
An illustrative sequence. Your workflow defines the systems, actions, and acceptance criteria.
Select the permitted source material.
Find context relevant to the current issue.
Reuse or adapt a suitable resolution.
Capture the verified outcome and operator feedback.
Can the team find an applicable prior resolution and distinguish a successful outcome from an abandoned or rolled-back attempt?
Optional fine-tuning uses curated examples and configured providers. The product does not promise unsupervised self-training after every task.
INSIDE THE PLATFORM
A related application view. Screenshots show configured test or demonstration data, not a customer deployment.
KEEP EXPLORING
LET’S MAKE IT WORK
See the platform. Choose a workflow. Define what success looks like.