Revenue Orchestration Platform
Propose. Decide. Execute.
Every action governed.
Revnewo is a control plane for revenue, with the entire revenue stack underneath it. AI proposes the next step, policy decides whether it's allowed, and only then does it execute — across leads, deals, quotes, invoices, contracts, support, partners and delivery, on one governed data surface.
- Executed
Draft order form
Sales
- Executed
Route for e-signature
Finance
- Awaiting approval
Generate invoice
Finance
- Proposed
Open delivery engagement
Delivery
- Proposed
Notify registering partner
Alliances
- Proposed
Queue partner commission
Alliances
The problem revenue teams live with
18 systems. One revenue number. Nobody in charge of it.
The revenue motion runs across CRM, marketing automation, customer success, billing, forecasting, partner portals and a dozen more. Every team's dashboard says they're winning — and the quarter still misses. That isn't an execution problem. It's a systems problem.
- 1
Each tool holds a fragment
18 partial ledgers, each telling its own version of the story. No authoritative spine.
- 2
Handoffs leak revenue
Marketing → sales → partners → customer success: every seam drops signals nobody owns.
- 3
The truth is unqueryable
“Why did we win that deal?” takes a week of spreadsheet archaeology — if it's answerable at all.
Revenue is measured — but not managed. Automated — but not orchestrated.
What is Revnewo?
Revnewo is a revenue orchestration control plane with the entire revenue stack underneath it. Sixty-plus modules — sales, marketing, enablement, alliances, delivery, customer success, engagement, operations and finance — run on one data model with one permission system. Digital Workers act across that surface: proposing each step, executing what they're trusted to execute, and routing the rest to the right human. Scaleups run Revnewo as their all-in-one; enterprises keep their stack and orchestrate on top of it. Revnewo is launching first in Australia and India.
Revenue Assist orchestration
A control plane, not a chatbot.
Planning and permission are kept apart by design. The AI never touches your data directly.
Step 1
Propose
A planner reads the situation and proposes the next actions — draft the order form, raise the invoice, notify the partner.
Step 2
Decide
A policy engine — plain rules, not a prompt — checks every proposal against who's asking, what they're allowed to touch and how much is at stake. Anything above the line goes to a human.
Step 3
Execute
Only approved actions run, through governed capabilities, and every step is recorded.
Approval Inbox
Decisions that need a human land in one queue with the full proposed change, its diff and its reasoning. Approve, reject, or flag it as wrong.
Trust & governance
Autonomy is earned, never assumed.
Assist can never delete your data.
There is no delete action for the AI to call. It isn't a setting that can be misconfigured — it's structural.
No single failure opens a write.
Three independent checks stand between a proposal and your data, and each one enforces on its own.
Trust is earned — and lost — on the record.
A worker gains more autonomy only after a sustained history of approved proposals, and only when an admin opts in. One decision flagged as wrong drops it back immediately. Low-risk actions that run automatically keep an undo window.
Model flexibility
Never locked to one model — or one vendor.
Every AI feature is routed to a model from one central place. Swapping the model behind a feature is an admin decision, not an engineering project.
Frontier commercial
Leading commercial models from OpenAI, Anthropic and Google, for reasoning-heavy work.
Open-weight
Open models served on NVIDIA infrastructure, for cost and sovereignty control.
Your own model
Bring your own model endpoint, or a small model trained on your own revenue data and hosted in your environment. On the roadmap; not available today.
- Run a frontier model where it earns its cost and a lighter one where it doesn't.
- High-stakes judgements can run across several models and merge the answer.
- Retiring models are removed from selection automatically, with a documented replacement.
- Spend is tracked per provider.
Your data stays yours.
Every tenant is isolated, and models work through the control plane — never against your data directly.
The revenue stack
60+ modules. One data model. One permission system.
Orchestration is only as useful as the surface it can act on. Everything below is one governed surface — not a feature checklist.
Every record from first lead to closed deal, with playbooks and value framing on the same model the quote comes from.
11 modules
- Leads
- Prospects
- Contacts
- Accounts
- Deals
- Quotes
- Sales Playbook
- Strategic Accounts
- Territories & Regions
- Value Framework
- Digital Sales Rooms
Where the surface earns its keep
Command Center
A cross-module control tower with an exception registry that triages anomalies across the whole surface.
Digital Workers
The orchestration layer made concrete and visible — one worker team per module, every run mapped.
Content Studio
AI image and voice generation, video rendering, social publishing and measured landing pages.
Service Delivery
Engagements, SOWs, time and margin — closes the quote-to-delivery loop most CRMs drop.
Alliances & MDF
Proposal → approval → claim → payment, with partner portals and deal registration.
Security & Compliance
A compliance workspace tracking 20 frameworks and ~1,070 controls, including EU AI Act and ISO 42001.
Command surfaces
A browser extension, a desktop meeting recorder and an embeddable Assist — the platform wherever work happens.
One motion, four teams
A deal closes. Watch what happens next.
Every step proposed; each one either executed under earned trust or routed to the right human. Sales, Finance, Delivery and Alliances — one motion on one data surface. That's the argument for breadth, made concrete.
- 1Trigger
Sales
Deal marked closed-won
- 2Executed
Sales
Assist drafts the order form
- 3Executed
Finance
Routes it for e-signature
- 4Awaiting approval
Finance
Generates the invoice with the correct tax for the jurisdiction
- 5Proposed
Delivery
Opens the delivery engagement
- 6Proposed
Alliances
Notifies the partner who registered the deal
- 7Proposed
Alliances
Queues their commission
Solutions by role
Built for every revenue team in your organisation.
Same control plane, same data surface — a different worker team for each role.
Pipeline that moves itself forward.
Workers keep deals current, draft follow-ups and prepare quotes; you approve what matters.
- Deals kept current from the conversations that actually happened
- Follow-ups, quotes and order forms drafted for your approval
- Territories, playbooks and value framing on the same record as the deal
On the connector roadmap
Amazon RedshiftAmazon RedshiftWhy Revnewo
Built by revenue operators, for revenue operators.
Revnewo is built by a team with go-to-market and alliances experience across ANZ and APJ at companies including Tricentis, LambdaTest and Applitools. We are onboarding design partners in Australia and India now.
AI proposes, humans approve
Policy — plain rules, not a prompt — governs anything that touches money or compliance. Workers earn autonomy over time and lose it on the first flagged mistake.
Your data stays yours
Every tenant is isolated, and models work through the control plane — never against your data directly.
Writes back, not just reads
Revnewo is the system of execution, not another analytics layer: proposals become records, invoices and notifications.
Breadth is the moat
One control plane over sixty-plus modules on one permission model beats a copilot bolted onto a CRM.
See the control plane run on your revenue stack.
Bring one motion you run today — quote to cash, deal registration to commission, renewal to expansion. We'll show you how Digital Workers propose it, policy governs it, and your team approves the rest.
One control plane
Propose, decide, execute — across the entire revenue stack
One data model, one permission system
Sixty-plus modules on a single governed surface
Autonomy that's earned, not assumed
Workers gain trust on the record and lose it on the first flagged mistake
Our team will reach out within 24 hours.