Surfbots
Governed Enterprise AI Knowledge Platform

Turn company knowledge into trusted answers people can use.

Surfbots gives every team a secure AI assistant grounded in approved company knowledge—complete with source references, business-unit access controls, centralized administration, quality feedback, and business-ready exports.

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Grounded answers + citations Role-aware knowledge access Centralized admin governance PDF · DOCX · PPTX · XLSX exports
Find the answerRetrieve the most relevant approved knowledge instead of searching across folders and portals.
Verify the answerUse source references to understand where important claims came from.
Control the experienceScope access and assistant behavior by system, business unit, service line, and role.
Turn answers into workExport AI output into business-friendly files and managed document workflows.

One platform, two experiences

Useful for employees. Governable for the teams responsible for AI.

Surfbots combines a focused end-user assistant with an administrative control plane for content, permissions, assistant guidance, reporting, and knowledge lifecycle operations.

Surfbots Chat

1
Ask naturallyUsers ask questions in normal language and continue with context-aware follow-ups.
2
Retrieve approved knowledgeRelevant content is retrieved within the user’s authorized business scope.
3
Answer with evidenceThe assistant produces a grounded response with references for verification.
4
Reuse the resultExport useful answers into PDF, Word, PowerPoint, or Excel for downstream work.
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Surfbots Admin Studio

Organization structureManage systems, business units, service lines, and knowledge domains.
Users + rolesControl who can access which assistant and which knowledge scope.
Knowledge lifecycleUpload, govern, update, activate, deactivate, and remove approved content.
Assistant controlsManage guidance and hierarchical prompt behavior for different operating contexts.
Quality + feedbackCapture user feedback, usage signals, and evaluation data for ongoing improvement.
Templates + outputsManage reusable business templates, including fillable PDF workflows.
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What makes it enterprise-ready

The controls enterprises expect, without losing the simplicity users want.

01

Grounded answers with sources

Responses can include references back to approved files and web content so users can verify important information instead of trusting an opaque answer.

02

Scoped access boundaries

Knowledge visibility can be constrained by system, business unit, service line, and assigned role so teams operate inside intentional data boundaries.

03

Enterprise identity

Microsoft Entra ID authentication and role-aware authorization support enterprise sign-in and controlled access to chat and administration workflows.

04

Conversation continuity

Conversation context can be carried forward so users can ask better follow-up questions without restarting every interaction.

05

Quality and operational signals

Feedback, usage, token metrics, cache signals, and evaluation metadata help teams understand quality, adoption, and opportunities to improve.

06

Business-ready deliverables

Useful responses can move beyond chat through export workflows and centrally managed templates designed for real business processes.

From an answer to an artifact

Surfbots can turn generated responses into formats teams already use for reviews, briefings, analysis, and operational handoffs.

PDF DOCX PPTX XLSX Managed Templates

Designed around business outcomes

A reusable AI layer for the teams that know their domain best.

Each team can have an assistant shaped around its own approved knowledge, terminology, access model, and operating workflows—without forcing the entire company into one undifferentiated chatbot.

Operations

Policy and process answers

Help employees understand procedures, requirements, exceptions, and next steps using controlled operating documentation.

Leadership

Summaries and decision support

Synthesize approved material into executive summaries, comparison views, talking points, and presentation-ready content.

Service Teams

Faster internal support

Give HR, IT, finance, legal, or program teams a consistent first line for answering repeat questions from trusted sources.

Knowledge Owners

Governed reuse at scale

Maintain one controlled knowledge operation while delivering different experiences across teams, functions, and service lines.

Security, governance, and architecture

Built to keep AI grounded in the boundaries of your organization.

Surfbots separates end-user and administrative concerns, applies role- and scope-aware authorization, and keeps knowledge and configuration workflows under centralized control.

Identity + authorization

Microsoft Entra ID authentication combines with role and scope resolution so access decisions can reflect the user’s assigned organizational context.

Knowledge boundaries

Retrieval can be scoped to approved knowledge sources associated with the correct system, business unit, and service line rather than a single global corpus.

Operational visibility

Conversation metadata, feedback, reporting records, and export activity can support quality review, traceability, and ongoing governance.

Azure-native deployment pattern: Surfbots uses Azure Static Web Apps, Azure Functions, Azure OpenAI, Azure AI Search, Azure Blob Storage, and MongoDB across its current platform architecture. Environment-based configuration supports separated development, test, and production deployments.

Start with one high-value knowledge workflow. Expand from there.

Surfbots is designed to support focused deployments by business unit or service line, giving teams a practical path from pilot to broader enterprise rollout.

Plan Your Surfbots Demo

Request a guided demo

Show us where your teams lose time finding, verifying, or reusing knowledge.

We’ll use that workflow to demonstrate how Surfbots can structure the assistant, knowledge scope, governance model, and business outputs around a real operating need.

Good starting points

  • Employees repeatedly searching across policies, procedures, or internal documentation.
  • Teams spending time summarizing the same information for different audiences.
  • Business units that need AI assistance but cannot share all knowledge with every user.
  • Organizations that want centralized AI governance without creating one generic enterprise assistant.
  • Knowledge owners who want feedback and quality signals tied to real assistant usage.