Resolving vendor support cases is critical to business operations since they often impact large swaths of users or are key strategic initiatives - yet too often they become a source of frustration and risk.

The reason is simple: usually only one employee typically interfaces with a vendor support case, leaving the status hidden from other stakeholders. By the time the case escalates, it’s already a bigger issue than it should have been.

Knit.ai acts as your operational assistant, detecting issues early so you can act before they escalate - including:

• Vendors closing unresolved cases — when vendors close tickets prematurely, your teams are forced to start over.

• Sensitive data exposure — when employees share API keys, credentials, or passwords in plain-text emails with vendors.

• Excessive delays — long periods of vendor or employee unresponsiveness that inflate resolution times.

• Unproductive cycles — repeated rejected solutions or unnecessary back-and-forth communications.

• Shadow IT risks — employees bypass IT/security and open cases directly with vendors

Knit.ai - the key averting problems before they become crises.

Most vendor management tools rely on surveys to capture momentary opinions, not facts. Knit.ai replaces opinion surveys with real-time support interaction data and Ticket Briefs —creating an objective view of vendor performance.

With Knit.ai, organizations:

• Visualize trends — map cases over time to highlight product quality shifts and periods of elevated impact.
• Evaluate support quality over periods of time — measure against contracts and partnership expectations over all support interactions.
• Flag accountability gaps — slow responses, unresolved cases, inadequate support.
• Measure resolution success — did the vendor solve the core issue?
• Track product quality — monitor defect rates and determine if they’re acceptable.
• Compare year-over-year performance — see whether quality and support are improving, declining, or justifying cost.