Revenue Cloud Intelligence

Ask Aria 
anything.

Aria turns your products, orders and customers into instant, plain-language answers — no dashboards, no queries. Just ask.

Just ask, in your words

Type a question like you'd ask a colleague. Aria understands the intent and answers in seconds.

Grounded in your data

Every answer comes straight from your own products, orders and customers — never made up.

Answers you can see

Ask for a trend or breakdown and Aria replies with a chart — not just a wall of numbers.

The roadmap

The path to autonomous agents

Six steps that turn connected data into intelligence — and intelligence into agents that run the work on their own.

1

Infrastructure

Done
The foundation

Set up the secure, scalable backbone everything else runs on. No intelligence without a solid base.

  • Scalable, secure cloud infrastructure
  • Access control & governance from day one
  • The platform Revenexx Intelligence is built on
Milestones
Cloud environment provisioned
Security & access baseline
CI/CD & monitoring
2

Data and Capabilities

In progress
Connected via MCP — continuously extended

Data flows in through MCP connectors. Sources are added and refined in an ongoing loop — the knowledge base keeps growing and improving over time.

  • MCP-based connectors to every relevant source
  • A looping process — new sources added continuously
  • Clean, structured data ready for AI to use
Milestones
Revenexx Workflows MCP
Revenexx Knowledge Base (Developer) MCP
Revenexx API MCP
Revenexx Analytics MCP
Custom app MCPs & vendor MCPs
3

Aria

In progress
The AI Assistant

Infrastructure and data come together as Aria — an AI assistant that answers questions and surfaces information on demand from the connected data.

  • Natural-language access to all connected data
  • Instant answers & smart search
  • The first face of Revenexx Intelligence
Milestones
Assistant prototype
Natural-language querying over data
Rollout in Revenexx Cockpit & integration in other apps
4

Co-Pilot

Planned
From answers to suggestions

Aria grows into a co-pilot — it doesn't just answer, it proactively suggests next steps based on the data. The human stays in control.

  • Proactive, data-driven suggestions
  • Recommendations tailored to context
  • Human in the loop — you decide, it advises
Milestones
Contextual suggestion engine
Recommendations in the UI
Approve-and-apply workflows
5

Agents

Goal
From suggestions to action

Agents take on tasks and carry them out end-to-end within defined boundaries — turning recommendations into completed work.

  • Task-focused agents that execute, not just advise
  • Defined scope & guardrails per agent
  • Humans supervise, approve & override
Milestones
Single-task agent pilot
Dedicated agent workspace with direct Git access — e.g. build & edit a shop storefront
Guardrail & scoping framework
Supervised end-to-end execution

Autonomous Agents

The final goal
Work that runs itself

Agents set their own sub-goals, reason across systems, and act independently — continuously optimising the business while people set direction and boundaries.

  • Goal-driven agents that plan & execute on their own
  • Multi-agent collaboration across the stack
  • Continuous self-improvement within human-set guardrails
Milestones
Goal-driven planning
Multi-agent orchestration
Self-improvement loop