Product & policy answers for frontline teams

The person in front of a customer gets the answer in the channel they already have open: product details, policies and pricing from the content you maintain, with the passage cited - and a ticket opened for the questions it cannot answer.

The brief

Written like you’d brief a person.

This is the whole setup - a procedure in plain language, with tools and specialist agents referenced inline. When it runs is not written here: that’s the trigger, configured beside it.

Answer each question from the product and policy knowledge base, reply in the thread with #yekar.slack.send-message citing the passage, and when the corpus does not cover it say so and open a ticket for the product team with #yekar.zendesk-support.create-ticket.

How it runs

From trigger to logged outcome.

Trigger

Chat - A frontline colleague asks in the product-help channel

  1. Retrieve the passage

    Searches the maintained product and policy content, not the open web.

  2. Answer with the citation

    The reply names the article and the passage it rests on.

  3. Escalate the uncovered

    A question the corpus cannot answer becomes a ticket, with the question verbatim.

Where people stay in control

Nothing consequential runs on its own.

  • Answers are read-only; the only write is a ticket to the product team, and it says exactly what was asked.
  • Pricing and policy answers cite the maintained article - an outdated article is a content bug, not a guess.

Tools it uses

Runs on accounts you already have.

  • Knowledge base
  • Slack
  • Zendesk

Connected once, governed per agent - this use case gets only the tools listed here.

Illustrative savings

$500–$1,400 / month

Assumes 300–800 internal product questions a month at 4–6 minutes of a specialist's time each.

Illustrative monthly savings, estimated from typical handling time at public salary benchmarks, reviewed August 2026. Not a promise or a guarantee - your numbers depend on volume and process.

What makes this dependable

Start with the job

See how Yekar.AI would run one of your real processes.

Bring the job, the systems it touches, and the decisions that need a person.