We built a generative AI support assistant that searches product documentation, troubleshooting guides, known issues and internal notes. Support agents answer customers faster, without switching between knowledge sources.
Industry: SaaS & TechnologyService: AI & AutomationUpdated
Overview
The challenge
Support agents could draw on help-centre articles, product documentation, release notes, internal troubleshooting guides and past resolutions. The trouble was that this knowledge sat in too many places.
Even simple tickets needed manual searching, and newer agents often had to ask senior colleagues for help. The company wanted AI to make support knowledge easier to use, without inventing answers.
Agents searched several tools before they could reply to a customer.
Newer agents escalated questions simply because they couldn't find the right article or note.
Customers could get different explanations for the same issue.
The solution
We connected product docs, help-centre articles, release notes, internal troubleshooting guides and approved support content.
The RAG layer searches the knowledge base for the issue in the ticket and returns the most relevant articles and notes.
Generative AI turns that context into a clear reply that the agent reviews, edits and sends.
Before and after
Before
Several searches
Agents checked help docs, notes and past tickets one at a time.
After
One AI search
The relevant support knowledge comes back together in one answer.
Before
Ask a senior agent
Newer agents leaned heavily on experienced teammates.
After
Guided help
The assistant suggests likely troubleshooting steps and shows the supporting information.
Before
Written from scratch
Agents drafted every answer themselves.
After
AI-assisted drafts
Replies start from approved product knowledge, and the agent has the final say.
Key features
Agents search approved product and support content from one chat window.
Business impact
Less time searching per ticket
The assistant retrieves the relevant troubleshooting content before it suggests next steps.
Business impact
More consistent guidance
Technical support detail is rewritten as a clear, customer-friendly reply.
Business impact
Quicker ticket replies
Results
Faster Support Research
Agents spend less time hunting for product information.
Before: Multi-Tool SearchAfter: One AI Assistant
More Independent Support Team
Newer agents answer routine questions with less help from senior colleagues.
Before: Frequent EscalationAfter: Guided Self-Service
More Consistent Customer Experience
Every reply is grounded in the same approved support content.
Before: Varied AnswersAfter: Knowledge Grounded
Faster delivery
These tested components covered the common groundwork, so the assistant launched sooner and our time went into tuning it on real support tickets.
Our tested access layer applied the support team's existing permissions, so each agent sees only the content they are allowed to.
A proven retrieval layer indexed help articles, release notes and past resolutions so each ticket could be matched to them by meaning.
Ready-made sync connectors kept the assistant current as new release notes and help articles were published.
Existing quality monitoring flagged weak or unsupported draft replies so the team could review them.
Trust and control
The assistant follows the support team's existing access rules, so agents only see content they are allowed to.
ACCESS CONTROLLEDRelevant support content is retrieved before any reply is drafted, which cuts down unsupported answers.
RAG GROUNDEDDrafts can link to the articles or notes they came from, so agents can check them before sending.
TRACEABLEContent can be refreshed as the product, help articles and support processes change.
UPDATE READYThe assistant searches help-centre articles, product docs, release notes and internal troubleshooting guides for the issue in a ticket. Generative AI then turns the most relevant content into a draft reply. The agent reviews, edits and sends it, so a person stays responsible for every customer answer.
The assistant drafts replies only from approved support content that it retrieves first, which cuts down unsupported answers. Drafts can link to the articles or notes they came from, so agents can check them. Agents review every draft before it is sent, and the assistant follows existing permissions.
Newer agents now handle routine questions with less help from senior colleagues. Instead of escalating because they cannot find the right article, they ask the assistant, which suggests likely troubleshooting steps and shows the supporting information. Replies are also more consistent because everyone works from the same approved content.
If agents still search several tools for every ticket, we can help you build an assistant that drafts replies from your own approved content.