Concrete workflows Sysmatic can build into your stack.

No vague AI strategy. These are recurring workflows with inputs, owners, outputs, and a reason to exist.

AI and workflow examples

• Teach AI the company stack: write operating rules into reusable skills before asking AI to build.
• AI support-ticket review: score every support conversation against a rubric and escalate risky responses.
• AI reporting across databases: answer cross-system questions without turning developers into report clerks.
• Chrome sidebar customer context: pull the facts agents need without forcing portal-hopping.
• Website production workflow: turn design, build, QA, and content expansion into a repeatable loop.
• Shared AI skills folder: keep agent knowledge reusable across tools.
• Agentic documentation repo: make docs retrievable by workflow, owner, and operating rule.
• Finance ops AI review: tag books, calculate interest, and close the month with human approval.
• Vectorized memory layer: give agents shared operating context with citations.
• Semantic email search: retrieve old decisions by meaning, not just keywords.
• WordPress security build loop: ship modules with security review built in.
• Approval-ready infographic: turn technical plans into stakeholder-ready visuals.
• UAT-to-Jira bug reporting: capture evidence and write tickets from the phone.
• Daily memory agent: turn repeated corrections into durable operating memory.
• Upskill package knowledge: inspect fast-changing packages and turn them into reusable agent procedures.