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Customer configurations,
governed before renewal.

Varistra gives B2B SaaS teams a decision ledger for customer-specific configurations. Inventory flags, workflows, templates, integrations, and exceptions; connect them to affected accounts and ARR; then approve what to standardize, preserve, reprice, migrate, or retire.

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One configuration inventory for
  • feature flags
  • workflows
  • templates
  • integrations
  • permissions
  • contract exceptions
Customer-specific configuration governance

A flag system shows what runs. It cannot show what the business should keep.

Every non-standard configuration creates a product and commercial question: which customers depend on it, what recurring revenue is exposed, what burden follows it, and which treatment has been approved before the next forcing event?

Before

Disconnected exports

Tenant IDs, ARR, flags, support notes, and promises live in different systems.

Varistra

Configuration evidence

Every variant connects to source rows, customer impact, economics, and review state.

After

Approved treatment

The record states what changes, who owns it, when it happens, and why.

Source to standardization

One evidence chain. Seven accountable stages.

Varistra keeps source facts, calculation assumptions, financial context, and human decisions distinct—then connects them in a reviewable record.

  1. 01

    Import source evidence

    Load account revenue and customer-to-configuration exports without changing the systems that deliver runtime behavior.

  2. 02

    Validate coverage

    Expose rejected rows, missing joins, currency boundaries, and source assumptions before anyone trusts a total.

  3. 03

    Map product variance

    Normalize flags, workflows, templates, integrations, permissions, and contractual exceptions into one inventory.

  4. 04

    Connect customer impact

    Show every affected account, configuration value, prevalence, and protected recurring revenue.

  5. 05

    Review operating burden

    Attach usage, support, and maintenance evidence while keeping observed facts separate from proxies.

  6. 06

    Approve treatment

    Record whether to standardize, preserve, migrate, bundle, reprice, or retire—with owner and rationale.

  7. 07

    Measure the outcome

    Compare immutable snapshots and preserve the evidence behind every later correction or decision.

Evaluate the software
Built for the buying event

Know the customer impact before you approve the change.

Standardization is safe only when product, engineering, finance, and customer teams can review the same customer-specific configuration evidence.

Configuration portfolioPrioritize product variance by exposure

Compare prevalence, protected ARR, data coverage, burden signals, and decision state without hiding missing evidence.

Enterprise workflow variantsReview due
approval_flow14 accounts · $1.2M ARRStandardize
legacy_export3 accounts · $420K ARRMigrate
white_label1 account · $180K ARRReprice
Traceable evidence

Every number keeps its source

Rejected rows, joins, currencies, and calculation assumptions stay visible beside the result.

Cross-functional review

One record for product and finance

Review customer dependence, revenue exposure, product burden, and commercial timing together.

Decision economics

Observed facts before proxies

Usage, support, maintenance, and revenue signals remain labeled so false precision cannot pass as evidence.

Immutable history

Corrections do not erase review context

A later import, mapping, or decision creates a new snapshot or event instead of rewriting the original.

See your product's forks in 15 minutes.

Use the account and configuration exports your teams already maintain. Files are analyzed for this request only; currency stays separated and every rejected row is disclosed.

Maximum 5 MB per file · Request-only analysis · No live integrations · Deterministic calculations

Commercial evaluation

Choose the control layer your decision actually needs.

Each solution page explains the exact use case, evidence model, product boundary, evaluation criteria, and next purchasing step.

01

SaaS configuration governance

Govern customer-specific product behavior without replacing runtime configuration delivery.

Evaluate fit 02

Multi-tenant configuration management

Build a traceable inventory of tenant variants, dependencies, and exposed ARR.

Evaluate fit 03

Product complexity management

Choose what to standardize before a renewal, migration, packaging change, or platform rewrite.

Evaluate fit 04

SaaS cost-to-serve software

Connect non-standard product behavior to support, usage, maintenance, and revenue evidence.

Evaluate fit 05

Feature-flag cleanup template

Start a customer-aware stale flag audit with owners, targeting evidence, and treatment states.

Evaluate fit 06

Feature flag tools vs. a decision ledger

Compare runtime feature management with commercial configuration governance.

Evaluate fit
Compare plans and pricing
Start with the evidence you have

No integration project between you and the first configuration audit.

Export accounts with ARR or MRR and customer-to-configuration assignments. Validate a deterministic snapshot first. Add integrations only when recurring review justifies automation.

Use the audit template
  1. 1
    Export accounts

    Stable customer ID, ARR or MRR, currency, segment, plan, and status.

  2. 2
    Export configurations

    Customer ID, configuration key, value, type, and source reference.

  3. 3
    Approve one decision

    Treatment, owner, timing, rationale, evidence, and revenue handling.

A precise product boundary

Varistra governs customer configuration decisions. Your delivery systems still run the product.

Varistra does

  • Inventory customer-specific product configurations
  • Connect variants to accounts and recurring revenue
  • Preserve coverage, assumptions, and immutable evidence
  • Record approved standardization treatments and outcomes

Varistra does not

  • Evaluate feature flags in application code
  • Replace infrastructure configuration management or a CMDB
  • Claim complete customer profitability from configuration data alone
  • Make roadmap, pricing, migration, or renewal decisions autonomously
Buyer questions

Evaluate a SaaS configuration governance layer

What is a customer configuration decision ledger?

It inventories the product behavior assigned to each customer and connects that behavior to source evidence, affected accounts, revenue, burden, and an approved treatment. Varistra focuses on B2B SaaS product variants—not server configuration or SaaS spend management.

Who buys Varistra?

Product, engineering, product operations, finance, and transformation leaders use Varistra when a renewal, migration, margin program, packaging change, or platform consolidation requires a defensible customer-by-configuration dependency map.

Does Varistra replace LaunchDarkly, Statsig, Split, or a CMDB?

No. Feature management platforms deliver runtime behavior, and CMDBs inventory infrastructure or IT assets. Varistra ingests their evidence and adds the customer, revenue, operating-burden, and decision layer.

Can we evaluate Varistra with CSV exports?

Yes. The free product variance scan accepts an account export and a customer-to-configuration export. Paid workspaces retain immutable snapshots, decision history, collaboration, and governed evidence.

How does Varistra calculate protected ARR?

Varistra links each accepted account to the variants assigned to it, preserves currency boundaries, reports rejected or unmatched rows, and avoids treating a configuration-level total as a complete customer profitability calculation.

Does Varistra make standardization decisions automatically?

No. Varistra makes evidence and assumptions reviewable. Authorized people publish the treatment, rationale, owner, timing, and revenue handling.

Make the next change defensible

Audit the variants. Protect the revenue. Approve the treatment.

Run the free product variance audit now, or create a workspace to retain immutable snapshots and publish configuration decisions.

Run the free audit