01
Connect your data
Link your documents and systems like Google Drive, Xero, and Shopify under tenant-scoped access controls.
Multi-tenant AI platform
Deploy AI agents that execute real work, not just answer questions.
DataFlight combines RAG knowledge retrieval and agentic tool-calling so teams can move from documents to decisions to action in one platform.
How it works
One conversation.Your entire stack.
Plain-language questions become grounded answers and real actions — wired to the finance, file, CRM, and chat tools your teams already trust.
Your team
Pull last month’s invoices from Xero and draft a summary for the leadership meeting.
I’ll pull Xero invoices for the period, cross-check your policy doc, and draft a one-page brief with figures cited.
DataFlight
Intelligence layer Agentic runtime Knowledge + tools, tenant-scoped
RAG MCP Audit
Your stack
12 connectors
Logos are trademarks of their respective owners.
Pipeline
1 Retrieve Docs & APIs
2 Reason RAG + policy
3 Act Approved tools
Every step stays inside your tenant boundary, with traceable tool use.
Outcomes
Grounded answers
Responses cite your documents and live system data — not generic web fluff.
Trusted actions
Slack updates, email drafts, and data writes only through workflows you approve.
Process
How it works
From data access to measurable outputs in four steps.
02
Build requirement-specific workflows
We implement workflow automation for your process, approvals, and operational rules.
03
Deploy AI agents
Use agentic chat to call approved tools safely while grounding responses in your own data.
04
Get outcomes
Generate reports, trigger actions, and surface insights your team can act on immediately.
Product
Core capabilities
What is available now, plus what we can deploy with you.
Knowledge Base Integration (RAG)
Ask over company documents and indexed sources. Responses stay grounded with traceable context.
Agentic AI Chat
Agents call your connected tools and return action-ready responses using your permission model.
Workflow Automation (Custom)
Workflow features are delivered per requirement and deployed to your environment with controls.
Multi-tenant isolation
Tenant-scoped access boundaries across data, tools, and runtime context.
Australia-operated posture
Platform operated from Melbourne with security-first controls and governance focus.
Infrastructure
Enterprise architecture
Designed for data ownership, tenant isolation, and controlled execution.
Tenant UI
→API
→Data connectors
→RAG + Agent runtime
→Outputs
• You own your data and connector scopes.
• Agent actions remain policy-bound and auditable.
• RAG and tool-calling run inside a tenant-aware platform.
Use cases
Use cases that ship outcomes
Each flow turns manual effort into repeatable execution.
Accounting automation
Input
Invoices, ledger exports, policy documents
AI process
RAG retrieval + validation agent + rule checks
Output
Exception summaries and next actions
Proposal generation
Input
Past proposals, pricing rules, CRM notes
AI process
Agent drafts using approved templates and data
Output
Client-ready first draft with supporting context
Data validation
Input
CSV uploads, system records, threshold rules
AI process
Automated comparisons plus AI anomaly review
Output
Flagged errors and remediation checklist
Lead processing
Input
Inbound leads, enrichment sources, scoring criteria
AI process
Agent enrichment + qualification workflow
Output
Prioritized pipeline with rationale
Operations automation
Input
Requests, SOPs, approval pathways
AI process
Custom workflow orchestration with AI steps
Output
Faster cycle times and visible ownership
Why DataFlight
Why DataFlight
Hosted and operated from Australia
Private AI posture with tenant boundaries
Modular architecture over your existing stack
Integrates with tools your team already uses
Beyond chat: execution and automation workflows
Turn your business into an AI-powered operation.
See how RAG and agentic execution can be deployed for your exact workflows.