Live portfolio data
Enterprise AI Solutions Built Around Real Business Work
Bayaan connects your teams directly to the systems your business already runs on. Live databases, portfolio records, and financial data, and lets them ask questions in plain English. Every answer comes with a source citation. Every approved answer can become a finished deliverable: a PowerPoint deck, an Excel model, a Word report. All of it runs inside your Microsoft Azure environment, under your access controls, with a full audit trail.
Answer
Occupancy is 94.8% across the portfolio, up 1.6% from the prior quarter.1 Source citationSolutions by Industry
Solutions by Industry
Bayaan is one platform, applied to the way each industry actually works. Today that means commercial real estate, in active production use. Additional verticals below are in development - join early access to help shape them.
How Bayaan Works, Across Every Team
How Bayaan Works, Across Every Team
01
Trusted Decision Intelligence
Business teams ask questions directly against live operating data. No dashboard request, no analyst queue. Every answer is computed from source data and returned with a citation, so it can be checked before it is used.
- Natural-language querying over live, connected data
- Finance and operations query profiles tuned to how each team actually asks questions
- Follow-up analysis and clarification without rebuilding a report from scratch
02
Finished Work, Not More Chat
An approved answer does not have to be manually rebuilt in another tool. Bayaan generates the deliverable directly - in your brand template, in native file formats, with version history behind it.
- Native generation of PowerPoint, Excel, Word, and PDF output
- Brand templates, house style, and organizational personas applied automatically
- Live preview, version history, and rollback on every generated document
03
Contextual Team Workspaces
Questions, source files, chat history, and generated deliverables stay together - organized by client, deal, or workstream, not scattered across email threads and personal drives.
- Project-scoped knowledge bases, files, and chat history
- Configurable membership and roles per project
- Reusable skills, instructions, and templates specific to each team's conventions
04
Enterprise Control and Governance
None of the above works at enterprise scale without a governance layer underneath it. Bayaan is built to be administered, audited, and controlled - not just used.
- Deployment inside your Microsoft Azure environment; your data is never used to train models
- Role-based access control enforced at the project and data level
- Admin console with usage analytics, audit logs, and feedback/flagged-response review
Enterprise Security & Integration
Built to Pass Your Security Review, Not Just Your Demo
Bayaan is deployed inside your organization's Microsoft Azure environment. Your data stays in your environment and is never used to train underlying models.
Access is governed at the project level through role-based controls, and every meaningful admin action - user changes, deployment settings, flagged responses - is captured in an audit log.
What's live today:
- ☁Microsoft Azure-native deployment, including Azure OpenAI and Azure AI Foundry
- ◉Live, direct connectivity to structured databases (SQL)
- ◎Role-based access control, project-level permission boundaries, and an admin-only console
- ▣Full citation trail on generated answers, plus audit logging for administrative activity
On the roadmap:
Broader connectivity - including SharePoint, CRM, ERP, and additional document repositories - is in active development and not yet part of the current live product. We'll be specific about what's shipped versus what's planned as each connector goes live, rather than describing roadmap items as available today.
What We're Measuring, Not What We're Guessing
What We're Measuring, Not What We're Guessing
Bayaan is in active pilot deployment, including with a commercial real estate firm using portfolio Q&A and document generation under full enterprise governance. Rather than publish a single unverified statistic, here's what we track with every pilot - and what we'll publish once the numbers are real:
Time to answer: the gap between a business question being asked and a verified, cited answer being delivered
Analyst request volume: how many routine data-pull requests a team stops needing to file
Report production time: hours from an approved answer to a reviewable first draft of a deck, model, or report
Revision rework: how often teams lose time to the wrong document version or manual reformatting
Audit readiness: how quickly a security or compliance reviewer can trace an answer back to its source
Frequently Asked Questions
How long does implementation take?
Deployment timelines depend on the number of data sources being connected and your internal security review process. Because Bayaan is deployed inside your Azure environment rather than a shared multi-tenant cloud, most of the implementation timeline is driven by your team's provisioning and access-control setup, not by Bayaan's onboarding process itself.
For teams researching how long does implementation take, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Where does our data live, and is it used to train your models?
Your data stays inside your organization's Microsoft Azure environment. It is not used to train underlying AI models. Access is enforced through role-based controls at the project level, and administrative activity is captured in an audit log your security team can review.
For teams researching where does our data live, and is it used to train your models, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Which industries does Bayaan currently support?
Bayaan for Commercial Real Estate is live today, supporting portfolio Q&A and document generation for asset management, finance, and executive teams. Additional industry solutions - including legal, financial services, HR, and broader enterprise knowledge search - are in active development. If your industry is not listed yet, we would still like to talk about your specific data and workflows.
For teams researching which industries does bayaan currently support, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Does Bayaan replace our existing BI tools or dashboards?
No. Bayaan sits alongside your existing reporting stack. It is designed for the questions that do not have a dashboard built for them yet - the ad hoc, plain-English questions that would otherwise become an analyst request or a BI ticket. Where a dashboard already answers the question well, that dashboard remains the right tool.
For teams researching does bayaan replace our existing bi tools or dashboards, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Give Your Team a Direct Line to Governed Answers
Stop routing simple questions through analyst queues and BI tickets. See how Bayaan connects live data to cited answers - and cited answers to finished work - inside an environment your security team will approve of.
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