Conversational Retrieval
Ask natural-language questions about your business and receive answers grounded in your real data — with citations back to the source records.
- Cross-system search
- Cited responses
- Document & record retrieval
Zenney AI is an enterprise AI platform that retrieves information from your existing business systems, automates routine work, and helps your team make better, faster decisions — engineered with the privacy controls and operational discipline expected of enterprise software.
Zenney AI focuses on three high-value capabilities — retrieval, automation and decision support — delivered through a single secure interface and a growing library of system connectors.
Ask natural-language questions about your business and receive answers grounded in your real data — with citations back to the source records.
Trigger multi-step workflows from a conversation — draft replies, update records, schedule meetings, generate documents, route approvals.
Summarise, compare and analyse — produce briefings, weekly reports, trend explanations and what-if analyses on demand.
Concrete, deployable workflows that take work off your team's plate and accelerate the work that remains.
Automated weekly variance reports, cashflow snapshots, and on-demand drill-downs across the GL, AR and AP — answered in seconds rather than days.
Instant account briefings ahead of meetings, automated CRM updates from email and call transcripts, and proactive alerts on stalled opportunities.
Resume screening against role criteria, candidate-pipeline summaries, and self-service answers to common employee questions about policy and benefits.
Automated ticket categorisation, priority routing, and high-quality first-draft responses grounded in your knowledge base and prior tickets.
Automated executive briefings combining email, calendar, sales pipeline, financials and operations — delivered on schedule, formatted to your preference.
One search bar across SharePoint, Drive, wiki, ERP records, ticketing and email — with cited sources and respect for existing access permissions.
The technical architecture is designed around a simple principle — your data stays under your control, and every action Zenney AI takes is auditable.
| Data Boundary | Your business data is not used to train any underlying model — ever |
|---|---|
| Model Choice | Anthropic Claude, OpenAI, AWS Bedrock or self-hosted — swappable per workload |
| Retrieval Architecture | RAG over your business systems with permission-aware retrieval |
| Permissions Model | Inherits your existing access controls — Zenney AI never returns data the user is not authorised to see |
| Audit Logging | Every query, every action, every retrieved source is logged with timestamp and identity |
| Deployment | SaaS, dedicated tenant, or in your own cloud account / on-premise |
| Data Residency | AU, NZ, EU or US — selectable per deployment |
| Authentication | SSO via SAML 2.0 / OIDC, MFA, fine-grained role policies |
| Approval Gates | Configurable human-in-the-loop checkpoints before any external action |
| Rate & Cost Controls | Per-user and per-workload usage caps, with cost reporting and alerting |
Out-of-the-box connectors plus a custom-connector framework for proprietary systems.