Revenue protection platform

Detect revenue risk — without exposing your data

Solvren works on system signals, metadata, and events — not your source-of-truth data. We detect revenue-impacting operational issues, estimate exposure with clear assumptions, and help you resolve them with auditable controls.

Signals and metadata — not warehouse-scale replication
Redaction and minimization by default
Read-only integrations; optional write-back with audit
Live change in review
Stripe Pricing Logic Update
High Risk
Revenue Impact
Risk score83 / 100
Incorrect invoice generation
Subscription downgrade mismatch
Revenue recognition drift
Suggested Reviewers
Suggested reviewers
Finance Reviewer — Pricing governance
Billing Owner — Stripe ownership
Required safeguards
Rollback planPricing test scenariosRevenue validation
Active changes
14
Blocked by missing evidence
3
Overdue approvals
2

Solvren works on signals and metadata — not your source-of-truth data.

Solvren does not require your source-of-truth data.

We operate on
  • Metadata
  • System events
  • Derived signals
Not
  • Raw customer data
  • Financial systems
  • Full payload storage
Why this is safe

Built to minimize what leaves your perimeter

Solvren does not require bulk exports, warehouse replication, or full-fidelity copies of your CRM or ledger. We focus on the smallest set of signals needed to detect revenue-impacting operational risk.

Solvren does not require

  • Raw customer data
  • Financial systems
  • Full payload storage

Instead, it uses

  • Metadata
  • System events
  • Derived signals

Detect Revenue-Impacting Issues

Surface failed payments, CRM drift, refund leakage, and reconciliation risk from operational signals — before revenue is lost.

Prioritize by Estimated Impact

Score issues using failure rates, operational patterns, and configured assumptions — with confidence surfaced, not hidden.

Fix Issues Safely

Run approved playbooks with retries, idempotency, and safeguards. Read-only by default; write-back only when you turn it on.

Verify Every Resolution

Confirm fixes worked with validation and reconciliation before closing the issue.

Prove Value to Leadership

Share executive-ready reporting on estimated recovered value and avoided loss — with the estimation basis spelled out.

A closed-loop system for protecting revenue — with minimal data surface area

Detect

Listen to operational signals from payments, CRM, and integrations — event patterns and metadata, not full customer or financial exports.

Quantify

Estimate impact with explicit assumptions and confidence — so teams prioritize what matters without needing ledger-level detail.

Act

Execute corrective actions automatically or with approval using reliable, idempotent playbooks (read-only by default; write-back when you enable it).

Verify

Confirm that actions succeeded and that the issue has been resolved.

Prove

Track estimated recovered value and avoided loss with assumptions surfaced for finance and executives.

Connect the systems you already use

Solvren listens through integrations for operational signals — without requiring bulk exports or a copy of your source-of-truth data.

Stripe
HubSpot
Salesforce
Zendesk
Custom APIs
Why Solvren

Revenue-impacting issues hide in your systems until it is too late.

Disconnected systems, broken billing logic, CRM drift, failed payments, and risky operational changes quietly cost companies money every day. Most teams do not see the pattern until revenue or reporting is already hurt.

Solvren detects those issues from operational signals and metadata — fixes them with auditable automation — and proves value with estimates you can explain, without asking you to replicate your source-of-truth data.

Without Solvren

Failed payments and refund leakage silently reduce revenue
CRM and billing systems drift out of sync
Teams waste time chasing issues manually across tools
Nobody knows which problems matter most
There is no clear way to measure recovered value or ROI

With Solvren

Detect revenue-impacting issues automatically
Prioritize issues by real financial impact
Run safe playbooks to fix the problem
Verify the outcome before closing the issue
Show leadership exactly how much revenue was recovered or protected
The Closed Loop

A closed-loop system for protecting and growing revenue

Detect and quantify

Listen for operational signals across Stripe, HubSpot, Salesforce, and more — without ingesting full customer or financial datasets. Score issues with estimated impact and surfaced confidence.

Act and verify

Run playbooks to fix issues automatically or with approval. Read-only by default; write-back when you enable it. Idempotent execution, retries, and verification keep actions observable.

Prove ROI

Track estimated recovered value and avoided loss with assumptions spelled out. Share executive-ready views of playbook performance and time-to-value.

How it works

From connection to governed insight — without owning your data

01

Connect integrations

Use read-oriented connectors with minimal permissions. No requirement to replicate full datasets or open your warehouse.

02

Listen for operational signals

Solvren processes event-level signals and metadata — status changes, failures, and integration patterns — not full customer records.

03

Review impact and safeguards

Review estimated impact, confidence, assumptions, and the recommended playbook before anything sensitive moves forward.

04

Approve or automate

Approve the action or allow Solvren to run playbooks automatically. Write-back stays off unless you enable it.

05

Track estimated value

Track estimated recovered value and prevented loss with clear provenance — not unaudited revenue claims.

Core Benefits

What Solvren helps you solve

Failed Payment Recovery

Automatically detect and recover failed subscription and payment issues before revenue is lost.

Refund Leakage

Catch unnecessary or incorrect refunds and prevent money from slipping away.

CRM & Billing Drift

Find inconsistencies between systems like HubSpot, Salesforce, and Stripe before they create missed revenue or bad customer experiences.

Revenue Reconciliation

Detect mismatches between systems, reports, and workflows that create hidden financial risk.

Change Risk & Governance

Review high-risk operational changes before they create downstream revenue problems.

Estimated impact you can explain in a finance review

Estimated revenue at risk based on failure rates, operational patterns, and assumptions you control — with confidence levels surfaced.

Real-time
Estimated revenue at risk
Tracked
Trends over time
Visible
Top operational risks
From day one
ROI from resolved issues
Detect & quantify

Surface revenue-impacting issues from operational signals.

Connect Stripe, HubSpot, Salesforce, and more with connectors scoped for events and metadata. Detector packs surface failed payments, refund leakage, CRM drift, and reconciliation gaps — with impact estimates and confidence, not unaudited revenue claims.

Multi-system signals from payments, CRM, and operations
Estimated impact with explicit assumptions
Detector packs tuned for failure modes, not bulk data dumps
Detection and quantification
Live preview
Signal 1
Multi-system signals from payments, CRM, and operations
Signal 2
Estimated impact with explicit assumptions
Signal 3
Detector packs tuned for failure modes, not bulk data dumps
Act & verify

Run playbooks to fix issues — safely and reliably.

Execute corrective actions automatically or with approval. Built-in retries, idempotency, and verification ensure every action actually worked before marking an issue resolved.

Idempotent execution prevents duplicate actions
Retry-safe workflows ensure reliability
Policy controls and approvals for sensitive actions
Full audit trail of every change
Playbooks and verification
Live preview
Signal 1
Idempotent execution prevents duplicate actions
Signal 2
Retry-safe workflows ensure reliability
Signal 3
Policy controls and approvals for sensitive actions
Signal 4
Full audit trail of every change
Prove value

Track estimated recovered value and avoided loss.

Measure value with a clear dashboard: estimated recovered revenue, avoided loss, playbook performance, and time-to-value. Share executive-ready views with the estimation basis on the page.

Estimated recovered revenue and avoided loss
Playbook performance and success rates
Executive dashboards with confidence and assumptions
Value and ROI
Live preview
Signal 1
Estimated recovered revenue and avoided loss
Signal 2
Playbook performance and success rates
Signal 3
Executive dashboards with confidence and assumptions
Differentiation

Most tools need your data. Solvren needs your signals.

Capability
BI Tools
Ticketing Tools
Monitoring Tools
Solvren
Operates on signals & metadata (not full data replication)
No
No
No
Yes
Detects revenue-impacting issues automatically
Partial
No
Partial
Yes
Quantifies financial impact
No
No
No
Yes
Safely automates corrective actions
No
No
No
Yes
Verifies that the issue was resolved
No
No
Partial
Yes
Tracks recovered revenue and proves ROI
No
No
No
Yes
FAQ

The questions executives ask once the value clicks.

How is Solvren different from BI, monitoring, or ticketing tools?

Those tools tell you what happened after the fact. Solvren detects the issue, estimates the financial impact, fixes it safely, verifies the result, and tracks the value recovered.

Does Solvren require a lot of manual work?

No. Solvren can automatically run playbooks with retries, idempotency, and verification. You can require approval for sensitive actions.

Who typically owns Solvren?

Most often it is owned by RevOps, finance systems, billing, or engineering leaders responsible for revenue-critical systems.

Where should we start?

Most companies begin by connecting Stripe and enabling detector packs for failed payments and refund leakage. Then they add HubSpot or Salesforce.

How quickly can we see value?

Most teams find their first issue and quantify their first recovered value within the first day.

Start protecting revenue

Stop revenue leaks before they become expensive problems.

Connect with minimal data scope, detect your first issue from signals, and prove value with clear estimation basis.