Customer support · Production

How Guru supports Knowledge-Centered Service (KCS) with AI-powered knowledge management

The problem

Organizations relying on a few overburdened SMEs to contribute knowledge while leaving support agents disconnected, unable to identify knowledge gaps at scale, with poor content structure and inefficient search making it hard for reps to find answers quickly.

Workflow diagram · grounded in source

Knowledge captured in workflow

trigger

“Guru makes it easy to capture knowledge directly in your workflow, thanks to the browser extension, Slack and Teams integrations, and more”

AI identifies appropriate expert

routing

“when workers aren't sure which SMEs should be pulled in, Guru's AI will identify the appropriate expert for them”

AI Assist summarizes conversation

ai_action

“agents can take a customer conversation and have Assist summarize it in seconds to document learnings”

AI enterprise search delivers answers

ai_action

“with Guru's AI enterprise search, agents can start getting the information they need before you even build your knowledge base. Just connect all your sources, tools, and apps, and let Guru deliver the answers instantly. Or use AI Answers…”

Knowledge trigger surfaces context

routing

“Set up a knowledge trigger, which will automatically surface relevant information to an agent depending on what web page they're viewing”

Analytics identify knowledge gaps

output

“Guru's detailed analytics provides a breakdown of your company's knowledge health and usage stats, the strategic impact (see who's using what features and information), and performance (allows team managers to see how their teams are usi…”

Verification reminders ensure accuracy

validation

“Guru's built-in verification reminders ensure that all of your content is up to date and accurate, so your reps know they can trust it”

Reported outcome

Guru's KCS-aligned platform uses AI to capture and surface knowledge in real time, with every question answered saving 8 minutes; organizations adopting KCS report 70% improved time to proficiency for new workers and a 25%-50% improvement in resolution time.

Reported metrics

Time saved per question answered8 minutes

Time to proficiency for new workers70% improved

Resolution time improvement25%-50%

Reported stack

GuruAI AssistAI AnswersSlackTeams

Source

https://www.getguru.com/customers/guru-knowledge-centered-service

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Guru's KCS-aligned platform uses AI to capture and surface knowledge in real time, with every question answered saving 8 minutes; organizations adopting KCS report 70% improved time to proficiency for new workers and…

What tools did this team use?

Guru, AI Assist, AI Answers, Slack, Teams.

What results were reported?

Time saved per question answered: 8 minutes; Time to proficiency for new workers: 70% improved; Resolution time improvement: 25%-50% (source-reported, not independently verified).

How is this customer support AI workflow structured?

Knowledge captured in workflow → AI identifies appropriate expert → AI Assist summarizes conversation → AI enterprise search delivers answers → Knowledge trigger surfaces context → Analytics identify knowledge gaps → Verification reminders ensure accuracy.