Knowledge Management

Every resident question,
answered once. Used forever.

The Viv KM pipeline turns the hundreds of questions your office answers every week into a growing, searchable, AI-powered knowledge base โ€” reviewed and approved by your team before anything goes public.

No more answering the same question twenty times. No more inconsistent responses across staff. One approved answer โ€” the right one โ€” delivered automatically to every resident who asks.

The Editorial Pipeline

Every answer earns its way in.

Nothing is published without your team's review. Every step is logged. Every article is attributable.

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STEP 1

Inquiry received

A resident question comes in via chatbot, email, or 311. It hits the KM inbox as a ticket.

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STEP 2

Staff drafts a reply

The assigned staff member writes the canonical answer. AI suggests phrasing based on similar approved answers.

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STEP 3

AI quality gate

Automated check flags PII, legal liability language, outdated dates, and accessibility issues before any human review.

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STEP 4

Supervisor review

A manager approves, requests changes, or escalates. No article publishes without an explicit approval action.

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STEP 5

Published to KB

The article goes live in the knowledge base and the chatbot begins answering the question automatically from this moment on.

Built-in Safety

The AI quality gate catches what humans miss.

Before any draft reaches a reviewer, an automated quality gate checks for common issues that create legal, privacy, or accessibility risks.

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PII Detection
SSNs, account numbers, driver's license numbers, and medical information are flagged and blocked before any article is published.
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Legal Risk Flags
Admission-style language, litigation references, and advice that should only come from city attorneys are caught before they reach residents.
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ADA Accessibility
Content is checked for reading level, heading structure, and plain language compliance โ€” so every resident can use the KB.
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Outdated Dates
Articles containing dates in the past are flagged for review before going live โ€” catches expired deadlines and old program dates.
AI Quality Gate โ€” Draft Review
PII Flag

Draft contains a resident account number (123-456) โ€” remove before publishing.

Date Alert

Deadline date "March 15, 2025" is in the past โ€” confirm current deadline.

Reading Level

Grade 12.4 reading level โ€” recommend simplifying to grade 8 for accessibility.

All Clear

No legal risk language detected. No external URLs that resolve to errors.

The Compounding Effect

The KB gets smarter every week.

Each approved article reduces staff workload going forward. The knowledge base compounds โ€” the more you add, the less work comes in.

Year 1
Foundation ยท ~200 articles
60%
of common questions auto-answered

Core questions across your main departments are documented. Staff still handle the tail.

Year 2
Growth ยท ~500 articles
82%
of chatbot inquiries handled without staff

Seasonal questions, edge cases, and second-tier FAQs fill in. Escalations drop significantly.

Year 3+
Maturity ยท 800+ articles
91%
of resident questions answered automatically

Staff answer only genuinely complex or unusual questions. Everything else runs on autopilot.

See the editorial pipeline in action.

We'll walk you through a live demo on a real municipal knowledge base โ€” from incoming inquiry to published article to automatic chatbot answer.

Book a 30-Minute Demo