AI Support Agents for Enterprise

Yes. doc-era connects to Confluence, Notion, GitHub markdown, internal URLs, and uploaded files including PDFs and Word documents. You can index multiple sources simultaneously and the agent answers across all of them from a single interface.

You control exactly which sources are indexed per agent. You can maintain separate agents with different documentation scopes — one for customer-facing support, one for engineering, one for HR, one for finance — each with access only to the relevant content. There is no cross-contamination between scopes.

doc-era processes your documentation to enable question answering — your indexed content is stored securely and is not shared with or used to train models for other customers. For specific data residency, encryption, or hosting requirements relevant to your enterprise security policy, contact us to discuss your configuration options.

Yes — and this is one of the highest-ROI use cases for enterprise. IT onboarding steps, VPN setup, tool access requests, HR policy questions, and ops procedures are all repetitive, documentation-based, and ideal for automation. Teams using doc-era internally report significant reductions in Slack message volume and repeat questions to senior staff.

Yes. You can configure a single agent with cross-functional documentation — engineering runbooks, HR policies, finance procedures — or maintain separate scoped agents per department. Engineers get the right runbook, HR gets the right policy answer, and leadership gets the right compliance reference — from one platform.

Yes. Engineers under pressure query the agent in natural language and get the relevant runbook section immediately — without digging through Confluence or Slack history. When every minute counts, having the right procedure surfaced instantly reduces MTTR and prevents improvisation that causes further issues.

The agent answers only from your indexed documentation — it cannot answer from general knowledge, infer undocumented processes, or fill gaps. If a question isn't clearly answered in your content, the agent tells the user it doesn't have enough information. Unanswered questions are tracked in the gap detection dashboard so you know exactly what documentation to add.

Contact us to discuss your deployment requirements. We work with enterprise customers on specific hosting and data residency configurations. Book a demo and we'll walk through what's available for your environment.

Most enterprise teams are live in under 1 day for initial deployment. Connecting documentation sources, configuring the agent, and deploying are all done through the doc-era dashboard — no engineering resources required. Larger-scale rollouts with API integrations and multiple scoped agents typically take a few days.

No — not for standard deployment. Connecting Confluence, uploading PDFs, and deploying the chat widget are all dashboard operations. Engineering involvement is only needed if you want custom API integrations or embedded experiences within internal tooling.

The doc-era analytics dashboard tracks resolution rate (questions answered confidently), unanswered question rate, top documentation gaps by frequency, and feedback scores. These metrics give you a clear view of how much volume the AI is handling and where your documentation needs to improve.

Yes. Start with a single department or documentation scope, validate response quality in the built-in playground, and expand incrementally. You can limit access to specific teams during a pilot phase before broader deployment.