AI knowledge base agents that answer from your real company data
OrquidAgents builds knowledge agents that turn scattered documents, wikis, tickets, and files into sourced answers your team can trust.
Best for teams with valuable knowledge spread across Notion, Google Drive, Slack, helpdesks, PDFs, or old inboxes.
Typical build
$9,000-$24,000
Timeline
3-7 weeks
Delivery
Done-for-you
What the agent is built to improve
Each OrquidAgents build starts with one measurable workflow. We scope the agent around the result, integrations, guardrails, and human handoffs needed to make it production-ready.
Cut time-to-answer from minutes of searching to seconds of cited retrieval.
Give sales, support, and operations consistent answers grounded in approved sources.
Reduce repeated questions in Slack, onboarding, support, and internal ops.
Preserve institutional knowledge when people are busy, remote, or leaving.
Common use-cases
These are the patterns we usually see first. The final scope is shaped around your systems, data, risk tolerance, and team capacity.
- Internal ask-anything assistant for policies, product docs, SOPs, and playbooks.
- Support enablement agent that finds the right answer from previous tickets and docs.
- Sales enablement copilot that surfaces specs, objections, case notes, and pricing rules.
- Research monitor that summarizes sources and changes on a recurring schedule.
Typical integrations
- Notion
- Confluence
- Google Drive
- SharePoint
- Slack
- Zendesk
- Intercom
We can also connect internal databases, webhooks, custom APIs, spreadsheets, and legacy systems where the workflow requires it.
How we build it
The process is practical: map the workflow, connect the systems, test on real examples, and launch with monitoring.
- Step 1
Inventory knowledge sources and decide which are approved for answers.
- Step 2
Structure retrieval, citations, permissions, and freshness rules.
- Step 3
Design refusal behavior for missing, outdated, or restricted information.
- Step 4
Test with real team questions before launch and monitor unanswered intents.
Questions buyers ask
Will the agent cite sources?
Yes. We design knowledge agents to link answers back to source material wherever possible, so people can verify important claims.
Can it respect document permissions?
Yes, depending on the source system and integration path. Permission-aware retrieval is part of the design for sensitive knowledge bases.
Is this the same as a normal chatbot?
No. A knowledge base agent is grounded in your approved data and workflows, with retrieval, citations, and escalation rules built around your business.
Price your ai knowledge base agent in two minutes
Use the calculator to get a credible price range, timeline, ROI estimate, and recommended scope before booking a call.