Workflow Automation
Build AI workflows around your team’s work.
Turn connected knowledge into work that moves between systems and people. Bring agents into the parts that need investigation, connect the tools that carry out the task and keep your team in control of important decisions.
Start with the work, then design the flow.
Look at the information people gather, the decisions they make and the handoffs that slow things down. Use that understanding to design a workflow with a clear owner and a useful end result.
Connected context
Carry the relevant account, records and history into the work.
Agent investigation
Use an agent where the task needs evidence gathering or interpretation.
Human decisions
Give the right person enough context to review a proposed action.
Make exceptions part of the design.
Missing identifiers, unavailable systems and conflicting information are normal operational problems. Decide how the workflow pauses, asks for help and resumes. Uncertain outcomes need review before another attempt.
Measure the work that gets done.
Agree what success means before automating. Track accepted results, manual effort, unresolved exceptions and the cost of operating the workflow. Expand when the evidence shows the flow is useful.
Questions, answered.
Do we need to know the final workflow before speaking with Vivly?
No. Start with the task, the tools your team uses and the outcome you want. Workflow design is part of the evaluation.
Is every workflow available today?
This page describes the product direction. Current implementations combine connected investigations and selected reviewed actions. Event triggers, custom pipelines and wider automation are scoped individually.
Planning an evaluation
Agree the scope before you start.
Workflow automation is developed through scoped pilots. We agree the triggers, connector operations, review points and acceptance criteria for each implementation.
Explore a workflow together