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Case Study: Client Knowledge Hub + Answering A.I. Agent | Envision360
Case study

Client Knowledge Hub + Answering A.I. Agent

Client: professional services firm with multi-team, multi-region operations. One place for answers with citations across web chat, portal, and Slack/Teams.

Client at a glance

  • Teams: client services and internal operations
  • Channels: web portal, chat widget, Slack/Teams
  • Goal: faster, consistent answers with governance and citations
Knowledge Hub overview with curated content and search

Challenge

Knowledge lived in inboxes and outdated PDFs. People asked the same questions; answers varied.

  • Fragmented sources: SOPs, emails, proposals, and PDFs scattered
  • Slow answers: staff hunted for the latest version
  • Inconsistent guidance: old templates recirculated
  • Onboarding drag: new hires relied on “who to ask”
  • Unknown staleness: no owner or expiry tracking
Answering Agent with citations in web chat and Slack
Our solution

One hub for the source of truth.

Ingestion and normalization

Connectors for email exports, Drive/SharePoint, PDFs, and wikis.

  • Title, owner, effective date, tags, content hash
  • Version awareness keeps current doc visible

Answering with citations

Natural-language Q&A via chat, portal, and Slack/Teams.

  • RAG retrieves curated passages
  • Inline citations and confidence guards

Staleness and gaps

Flags outdated items; owners get nudges with due dates.

  • Recurring unanswered queries surface gaps
  • One-click propose-update with approvals

Role-aware governance

Internal vs client sets; sensitive docs restricted.

  • Client portal shows approved knowledge only
  • Download controls and PDF watermarking
Technology

Built to be trusted.

Front end

  • React SPA for Hub; chat widget
  • Slack/Teams apps for in-channel answers
  • Responsive UI

Orchestration

  • Node.js services with queues for ingestion and review
  • Policy guardrails

LLM layer

  • RAG over vector index (pgvector/FAISS)
  • Citation-first prompts and tool use

Storage and security

  • Postgres (docs, owners, versions); S3 (originals); Redis (sessions)
  • SSO/MFA; role-based access; object-level permissions
  • Audit logs; TLS; PII redaction in chat logs

Connectors

  • Google Drive / SharePoint
  • Gmail / Outlook exports
  • Confluence / Notion (optional)
Pilot

Scope and challenges.

  • Eight-week pilot across two departments (client services and operations)
  • Messy sources: duplicate PDFs handled via hashing and owner review
  • Citation trust: weighted by effective date; “approved-only” mode for client answers
  • Change management: short Loom-style tips; “Ask the Hub first” adopted

Outcome: questions funneled to the Hub; governance improved without slowing delivery.

Impact

First 60–90 days.

  • Repeat questions−38% in Slack/Teams
  • Onboarding ramp−28% time to first productive week
  • Answer quality92% responses with 2+ citations
  • Update velocityrefresh cycles >90 days → <30 days
  • Search time~3–5 min → <30 sec
Roadmap

What is next.

  • Client-safe snippets auto-generated from internal policies
  • Content quality scoring from usage and feedback
  • Owner alerts when related regulations or templates change
  • Multilingual answers with side-by-side citations

Handover: Knowledge Hub, Answering Agent, curation workflow, and dashboards.

Schedule a call or contact us to discuss your knowledge goals.