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Interactive Diagnostic

Agent Assist & Knowledge Readiness Check

For teams planning AI response suggestions, knowledge retrieval, summaries and next-best-action prompts.

8 minutes12 questionsAuto scoreFull answer captureEmail report to both parties

Knowledge Quality

1The knowledge base has approved FAQs, SOPs, policies and troubleshooting guides.
2Content owners are identified for each major knowledge area.
3Outdated or duplicate knowledge is reviewed and removed periodically.

Agent Workflow

4Agents follow a reasonably consistent process for the target interaction types.
5Common customer intents and resolution paths are known.
6Agents capture dispositions and notes in a structured manner.

AI Guardrails

7AI-generated suggestions will be reviewed by agents before being sent to customers.
8Sensitive topics, compliance risks and escalation triggers are defined.
9The team can maintain prompt rules, approved templates and answer boundaries.

Quality Feedback

10QA findings are connected to coaching, knowledge updates and script improvements.
11Supervisors can compare suggested responses with actual agent responses.
12There is a feedback loop for missed intents, wrong suggestions and knowledge gaps.

How to use the result

Low score

Begin with documentation, KPI baseline, process ownership and data access clarity before automation.

Mid score

Select a controlled pilot and close the top two category gaps before full rollout.

High score

Move into pilot design, integration planning, governance rhythm and benefit tracking.

Convert your score into a pilot roadmap

Copy the assessment summary and share it through the contact form so the discovery conversation can focus on next steps.

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