AI for Revenue Navigation
See what is changing revenue. Know what deserves action next.
Chenora brings the relevant commercial evidence together so your team can see where revenue is heading, what is driving the change and which intervention can still improve the outcome.
How Chenora works
From connected context to useful revenue action.
- Step 01
See the whole decision context
Bring the evidence needed for the revenue decision into one view without replacing the systems that already run your business.
- Step 02
Know what changed
See meaningful movement early, with the evidence behind it.
- Step 03
Focus on what can move the outcome
Bring the risks and opportunities that deserve attention to the top while there is still time to act.
- Step 04
Know the next move
See the recommended response, supporting evidence and accountable owner. Approved actions can be carried out through your people, systems or AI agents within your permissions and controls.
- Step 05
Know whether it worked
Track whether the action happened and whether the commercial outcome improved. Every intervention and its result becomes evidence for the next decision, so Chenora gets sharper the longer it runs in your business.
What users see
The revenue questions teams should be able to answer before the outcome is final.
Chenora helps teams answer the commercial questions that decide the period.
Across the revenue lifecycle
Use Chenora to WIN new revenue, KEEP valuable customers and revenue, and GROW accounts and profit.
WIN
Understand pipeline, conversion, deal progression and new-revenue performance.
KEEP
See customer movement, renewal exposure and weakening account health early enough to act.
GROW
Identify expansion, reactivation and product-adoption opportunities across existing customers.
Across teams and markets
One revenue direction. Clear decisions for every team.
Executive leadership
See the company outlook, material opportunities and decisions requiring executive attention.
Commercial leadership
Coordinate priorities across new business, retention, account growth and commercial execution.
Regional and Business Unit Leaders
See how each market, portfolio or team contributes to the wider revenue plan.
Revenue Operations
Maintain clearer targets, definitions, ownership and operating context across systems.
Sales and Account Teams
Focus on the accounts, opportunities and actions most likely to influence performance.
Finance
See the commercial assumptions behind the outlook and investigate material differences earlier.
Works with your existing systems
Every system sees its own data. Keep the tools that run your business, add the AI that sees across them.
Chenora uses selected data from CRM, finance, transaction, customer, product, support, BI and reporting systems. Connection method and update frequency depend on the customer's systems, permissions and agreed implementation scope. Named integrations and connection methods are published only after each has been technically verified.
Chenora does not need another system of record. Your CRM can remain your CRM. Your finance system can remain the financial source of truth. Product, customer, BI and operational systems continue doing the jobs they were built for. Chenora uses the relevant context across them to reason about revenue and determine what deserves action.
Commercial context you can trust
AI should show its work.
Every material finding should show the supporting evidence, assumptions, confidence where applicable, and any missing or conflicting information, including:
- Where the revenue or commercial signal came from
- What evidence supports the interpretation
- Where data is missing, conflicting or incomplete
- Where human judgement or approval changed the outcome
Teams can see what is known, what is inferred and what still requires investigation before acting.
A clearer commercial operating rhythm
Run revenue around decisions, not report reconstruction.
Weekly reviews should focus on material changes, decisions, owners, blockers and outcomes instead of rebuilding the story from multiple systems during the meeting:
- Material movement in the outlook
- New risks and opportunities
- Decisions requiring leadership
- Actions without clear ownership
- Blocked or overdue commitments
- Weak or missing evidence
- Results that differed from expectation
- Patterns to repeat, change or investigate
Teams spend less time rebuilding the picture and more time deciding what should happen next.
Designed for different revenue models
Navigate revenue using the measures that fit your business.
Subscription and recurring revenue
New ARR, renewals, retention, expansion, contraction, adoption and recurring-revenue movement.
Transactional and pay-per-use revenue
Active accounts, frequency, value, reactivation, product penetration and revenue cadence.
Project, contract and service revenue
Pipeline, bookings, milestones, invoicing, collections and recognised revenue.
Chenora adapts the definitions, baselines and comparisons to how the business earns revenue rather than forcing every company into one model.
Product outputs
What teams receive from Chenora.
Revenue outlook
Ranked pipeline, customer and growth risks or opportunities
Financial exposure
Supporting evidence
Recommended next actions
Accountable owners
Action status
Measured outcomes
Get started
Start with one revenue question worth answering earlier.
Choose one measurable priority, connect only the context required to answer it and test whether Chenora surfaces useful action before expanding the scope.
The navigation loop
- 1See the whole decision context
- 2Know what changed
- 3Focus on what can move the outcome
- 4Know the next move
- 5Know whether it worked
FAQs
Frequently asked questions.
What does Chenora do?+
Chenora is AI for Revenue Navigation. It connects relevant commercial and financial context, identifies material risks and opportunities affecting revenue, and recommends the next action with supporting evidence.
Is Chenora a revenue management platform?+
Chenora supports revenue management, but its core category is Revenue Navigation: the operating discipline for understanding revenue direction and shaping what happens next.
Does Chenora replace our current systems?+
No. CRM, finance, product, customer, BI and other systems continue performing their existing roles. Chenora uses selected context from those systems to understand revenue and determine what deserves action.
Can Chenora support multiple teams, regions, and revenue streams?+
Yes. Where relevant data and ownership structures are available, Chenora connects revenue direction across accounts, teams, products, regions, business units, and revenue streams.
Do we need perfect data to get started?+
No. Chenora can begin with the most important context currently available while keeping missing, partial, or conflicting evidence visible.
Does Chenora make decisions automatically?+
Chenora can recommend actions. Approved AI agents can execute defined actions within agreed permissions. Consequential commercial and financial decisions remain subject to the customer's governance and human control.
How does Chenora use AI?+
Chenora analyses permitted commercial context against targets, historical patterns and agreed business rules. It identifies material changes, reasons about potential revenue impact, ranks risks and opportunities and recommends actions with supporting evidence.
Revenue Navigation
Know where revenue is heading. Direct what happens next.
Connect the commercial context you already have and give every revenue decision an owner, an action and a measurable outcome.