HiveBots

Assistant

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Every Spec. Every Manual. Every Answer.

An AI assistant trained on your documents and connected to your tools. Ask in plain English. Get grounded answers fast.

The problem

Your docs have the answers. Your team still cannot find them.

Decades of technical docs nobody can search Your docs are everywhere. Finding the right answer is still slow.

Generic AI doesn't know your product Generic AI cannot answer for your real material.

Senior engineers stuck as a help desk Your best people spend time answering questions. Its inefficient.

The solution

A specialist assistant for every role.

Each role gets its own assistant, tools and knowledge. Runs in your Azure tenant.

Grounded in your tenant

Search runs as the signed-in user. Answers cite sources.

Streaming chat with tools Search, retrieve and answer across your systems.

One assistant per role Sales, Marketing, HR, Engineering and Operations. New assistants created in hours.

Generates real documents Drafts proposals, replies, briefs and reports.

Inside your Azure tenant Hosted in your Azure tenant with Entra ID.

What changes on Monday

What changes on Monday.

Faster answers. Less repeated work. Efficiencies, finally.

Draft a customer proposal in five minutes Pull the spec, price and past quote. Draft. Review. Send.

Answer a customer question without a forward Search manuals and tickets. Draft a cited reply.

Walk into a meeting prepared See likely pushback before the meeting starts.

Find the right expert in seconds No longer spend hours searching.

Start every morning with a briefing Start with the right priorities and information already ranked.

Onboard new starters faster New starters get answers without interrupting seniors.

Your systems connected

Connected to your stack.

Microsoft, Atlassian and your internal systems. No migration first.

Connected out of the box:

SharePoint

Microsoft Teams

Outlook Mail

Outlook Calendar

OneDrive

Dynamics 365

Jira

Confluence

Bitbucket

Tempo

Power BI

Aha!

QAD ERP

ARAS PLM

ADP

IntelliHR

Scout Talent

Azure AI Search

Azure Data Lake

WordPress

Kentico

Custom MCP for anything else

↗

User-scoped access If they cannot open it, the assistant cannot either.

⚙

Layered vector stores The right context for the right user.

✓

Indexed in days SharePoint, vector stores and live retrieval.

The platform

Three ways teams use it.

Chat, dashboard and shadow.

1

Chat. Specialist assistants per role Ask any specialist assistant anytihng

2

Dashboard. Your daily briefing Your daily priorities in one place. No double handling

3

Shadow. AI versions of your colleagues Simulate decisions and find expertise fast.

Inside the platform

Inside the product.

Proof from a live deployment.

Chat interface showing the agent picker on the left and system data source tabs above the message box

Chat. Pick an agent, pick your sources, ask anything Choose an agent, choose sources, ask.

Security and Governance

Built for procurement.

Sign-on, RBAC and audit logs. Your data stays in your tenant.

Microsoft Entra ID sign-on Same MFA and access rules as the rest of your stack.

Role-based access control Assistants and data scoped by role.

Audit-logged by default Every action is logged to the user.

Your data is yours Your data stays in your Azure tenant.

Regional data residency Choose the region your compliance team needs.

Embed it in your own apps Embed assistants in your apps and portals.

Pricing

Enterprise
only

Priced to your assistants, integrations and users.

What's included Assistants, integrations, audit logging and tuning included.

How we scope it Most teams start with one workflow, then expand.