Lisa Anderson, Customer Success Manager at TechCorp, uses Contextium to give her support team instant access to accurate product information. No more "let me check with engineering."
Customer Success Manager at TechCorp (B2B SaaS, 200 employees)
Background: 5 years in customer support, promoted to CS Manager 1 year ago
Team: Manages 8 support agents handling 200+ tickets per week
Responsibilities: Response time SLAs, customer satisfaction, team training, knowledge base maintenance
Challenges: Agents constantly asking "what's the answer to X?", outdated help articles causing wrong answers, engineering bottleneck for technical questions
Lisa's team before Contextium: Every ticket a scavenger hunt
"Customer asks: 'Does your product support SSO?' Agent searches help docs—nothing. Checks internal wiki—outdated. Asks in Slack—waits 20 minutes. Finally gets answer from engineering. Customer has moved on to competitor by then."
"Agent finds an article from 6 months ago: 'We don't support CSV export.' Tells customer no. But we added CSV export last month! Customer is frustrated: 'But your competitor has this!' We just lost a customer because our docs were outdated."
"My team was interrupting engineering 15-20 times per day with questions. 'What are the API rate limits?' 'How does data export work?' Engineers were frustrated, my team felt helpless, customers waited."
"We had 200+ help articles. I'd spend 5 hours every week updating them, but could never keep up. Product shipped new features faster than I could write articles. The knowledge base was always incomplete or wrong."
From knowledge gaps to instant expertise
Lisa worked with engineering to import everything into Contextium:
Engineering owns the docs, updates them with each release. Lisa's team always has current information.
Now when a ticket comes in, agents ask their AI assistant:
Agent sends accurate, complete answer in 2 minutes. Customer is impressed.
Support team is now self-sufficient. Engineering updates docs with each release, support team gets answers instantly. Zero Slack interruptions. Engineers ship faster, support responds faster.
Real metrics after 3 months with Contextium
From firefighting to proactive service
Customer asks: "What are your API rate limits?"
Old way: Agent searches docs, finds nothing, asks engineering in Slack, waits 30+ minutes.
With Contextium: Agent asks AI, gets answer in 5 seconds: "1,000 requests/hour on Pro, 10,000 on Enterprise." Response sent in 2 minutes.
Customer: "Can I export data as CSV?"
Old way: Agent checks outdated article (says no), tells customer no, customer complains.
With Contextium: AI pulls latest feature docs: "Yes! CSV export available on Pro plan, added last month. Here's how..." Customer delighted.
Customer: "Import failed with error code 429"
Old way: Agent doesn't know what 429 means, escalates to engineering.
With Contextium: AI searches error codes: "429 = Rate limit exceeded. Wait 1 hour or upgrade to higher tier." Agent resolves immediately.
Prospect: "We need HIPAA compliance. Are you certified?"
Old way: Agent guesses (wrong), or waits for sales/compliance team to respond.
With Contextium: AI retrieves compliance docs: "Yes, HIPAA compliant on Enterprise plan. BAA available upon request. Compliance docs: [link]" Prospect impressed.
Team handled 35 tickets today. Zero engineering escalations. Average response time: 6 minutes. CSAT score: 4.8/5.
Lisa's reflection: "My team is confident, customers are happy, engineering can focus on shipping. Contextium transformed our support operation."
Support agents ask AI questions, get accurate answers in seconds. No more searching or waiting.
Engineering updates docs with releases. Support team automatically gets latest information.
AI understands context and finds relevant docs even if agent doesn't know exact terms.
Works with email, chat, phone support. Agents get answers regardless of channel.
Track response times, resolution rates, most asked questions. Improve over time.
New support agents get up to speed instantly. AI is always-available knowledge source.
Contextium works alongside your existing helpdesk (Zendesk, Intercom, Freshdesk). Agents use AI assistants (Claude, ChatGPT) to query Contextium while working tickets.
Engineering owns technical docs, product team owns feature docs, support can suggest updates. Contextium's approval workflows ensure accuracy before changes go live.
Import your existing knowledge base into Contextium with one click. Keep your customer-facing KB, use Contextium for internal support team knowledge.
AI only searches your approved documentation in Contextium. It doesn't make up answers or search the internet. If information isn't in Contextium, AI says "I don't have that information."
Yes! Contextium analytics show most-asked questions, gaps in documentation, and response patterns. Use this data to improve docs and training.
Give your support team a single source of truth for product information, accessible from any AI tool.