Commissioned Research
Top 10 Best Solvency Ii Software of 2026

GITNUXSOFTWARE ADVICE

Financial Services Insurance

Top 10 Best Solvency Ii Software of 2026

Compare solvency ii software options and how teams like insurers and auditors use them, with tradeoffs highlighted for shortlisting.

21 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Solvency II tooling matters for insurers that must turn actuarial models, Pillar 1 calculations, and Pillar 3 XBRL outputs into regulator-ready disclosures with repeatable controls. This comparison helps technical evaluators weigh automation depth, schema and mapping governance, and integration options when choosing between modeller-first platforms and reporting and submission engines.

Workiva is the best pick for mid-size insurers needing governed workflow automation across Solvency II reporting artifacts because its programmable linking keeps regulatory packages aligned when source figures change, while Arelle is a strong alternative for teams focused on repeatable XBRL validation before taxonomy filings thanks to extensible Python checks.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Workiva

Document and spreadsheet link management with programmable updates keeps regulatory packages aligned when source figures change.

Best for: Fits when mid-size insurers need governed workflow automation across Solvency II reporting artifacts with traceable updates.

2

FIS Prophet

Editor pick

Model-driven regulatory output workflow that keeps scenario execution and submission preparation in one governed process.

Best for: Fits when actuarial modeling ownership and supervisory reporting generation must use the same repeatable workflow.

3

Arelle

Editor pick

Python extensibility lets teams add custom validations tied to their specific reporting conventions and data mappings.

Best for: Fits when teams generate XBRL Solvency II submissions and need repeatable validation before supervisory filing.

Comparison Table

1
WorkivaBest overall
enterprise
9.1/10
Overall
2
enterprise
8.9/10
Overall
3
API-first
8.6/10
Overall
4
vertical specialist
8.3/10
Overall
5
8.1/10
Overall
6
7.9/10
Overall
7
7.5/10
Overall
8
7.1/10
Overall
9
6.8/10
Overall
10
vertical specialist
6.5/10
Overall
#1

Workiva

enterprise

Cloud-native regulatory reporting platform supporting Solvency II disclosure and compliance documentation.

9.1/10
Overall
Features9.1/10
Ease of Use9.0/10
Value9.2/10
Standout feature

Document and spreadsheet link management with programmable updates keeps regulatory packages aligned when source figures change.

Workiva fits insurers that need a controlled workflow for Solvency II reporting artifacts across narrative, tables, and structured exports. The Wdata-to-Workiva Sheets and document collaboration model supports traceable changes and cross-linking between source data and regulatory-ready outputs.

Workiva’s automation and API surface focuses on moving and transforming reporting data, orchestrating updates, and keeping complex workpapers aligned. For teams producing supervisory reporting and public disclosure packages under tight change control, Workiva offers governance around review cycles, permissions, and audit trails.

Pros
  • +Cross-linking between spreadsheets, documents, and reporting outputs reduces reconciliation work
  • +API supports automated refreshes of reporting content after upstream data changes
  • +Audit trails and review workflows support controlled sign-off cycles
  • +Wdata integrations help centralize source data for repeatable reporting runs
Cons
  • –Solvency II output requires deliberate configuration of templates, mappings, and validation rules
  • –Complex chains of linked content can make impact analysis slower during late changes
  • –Advanced automation depends on scripting and integration know-how for dependable throughput
  • –Group-level reporting needs careful permission and ownership design to avoid bottlenecks
Use scenarios
  • Solvency reporting controller teams

    Coordinate entity inputs and governed report trails

    Connected close with audit trail

  • Internal and external auditors

    Manage evidence and clearance across workstreams

    Controlled audit file

Show 2 more scenarios
  • Reconciliation and close teams

    Trace exceptions to schedules and approvals

    Traceable substantiation

    Link reconciliation breaks to source data, supporting narratives, and approval workflows to resolve mismatches.

  • Corporate reporting teams

    Assemble annual reports with approvals

    Regulatory-ready reporting package

    Coordinate narrative content and structured reporting requirements in one workspace with review history.

Best for: Fits when mid-size insurers need governed workflow automation across Solvency II reporting artifacts with traceable updates.

#2

FIS Prophet

enterprise

FIS Prophet provides actuarial modelling for insurance liabilities, capital, and regulatory analysis.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Model-driven regulatory output workflow that keeps scenario execution and submission preparation in one governed process.

FIS Prophet focuses on actuarial model execution and regulatory output production, which helps when actuarial teams need the modeling layer to feed reporting. The workflow supports recurring recalculation, versioning of model inputs, and repeatable generation of supervisory packages for internal review and submission readiness. It also supports automation patterns for model runs so production teams can schedule and standardize tasks across reporting cycles.

A key tradeoff is that governance and integration effort often depends on the insurer’s existing actuarial data pipelines and submission toolchain. Prophet fits best when an organization already organizes assumptions, cashflow drivers, and outputs into a consistent actuarial workflow, then needs reporting outputs aligned to that workflow. It can be less efficient when the primary requirement is only report formatting with minimal actuarial modeling change.

Pros
  • +Actuarial model execution stays connected to regulatory output preparation
  • +Repeatable runs reduce variation between Solvency II cycles
  • +Automation supports batch processing of model scenarios
  • +Structured submission workflows support controlled change management
Cons
  • –Integration depth with existing data warehouses can drive implementation time
  • –Model governance requires disciplined input management to avoid drift
  • –Advanced automation needs actuarial-adjacent process ownership
  • –Reporting customization may require deeper platform configuration
Use scenarios
  • Actuarial modeling teams

    Run scenario batteries and produce submission outputs

    Lower cycle-to-cycle output variance

  • Solvency II reporting teams

    Standardize quantitative and narrative production

    Faster preparation for review gates

Show 2 more scenarios
  • Group solvency managers

    Coordinate model results across entities

    Clearer audit trail of assumptions

    Managers consolidate model outputs into a structured set of results for group-level preparation and review.

  • Insurance data engineering teams

    Automate input provisioning for modeling runs

    Higher throughput for recurring runs

    Engineering teams automate provisioning of assumptions and drivers to reduce manual data handling before runs.

Best for: Fits when actuarial modeling ownership and supervisory reporting generation must use the same repeatable workflow.

#3

Arelle

API-first

Open-source XBRL processing engine used for Solvency II taxonomy filings.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Python extensibility lets teams add custom validations tied to their specific reporting conventions and data mappings.

Arelle parses XBRL instance files against the relevant taxonomy and produces validation findings that can be used to fix mapping, dimensional content, and structural issues before submission. It supports common Solvency II workflows that require checking QRT and narrative reporting templates delivered in XBRL form, including Data Point Model consistency when the target taxonomy encodes it. Automation is a core fit signal because Arelle can be executed in batch mode so validation can run as part of a nightly or release pipeline.

A practical tradeoff is that Arelle validates what is already packaged into XBRL files and does not replace actuarial calculation or capital engine work. A governance-heavy office still needs an external process for versioning source data, approving changes to mappings, and controlling who can run and interpret validation runs. The best usage situation is a team that already produces XBRL outputs from a reporting workflow and needs deterministic, repeatable validation with clear error localization.

Pros
  • +Strong XBRL instance validation with detailed, actionable findings
  • +Extensible via Python for custom checks and workflow automation
  • +Batch execution supports repeatable validation in pipelines
  • +Handles Solvency II taxonomy conformance and report structure checks
Cons
  • –Does not compute SCR, MCR, or technical provisions from inputs
  • –Governance and approvals require external workflow controls
  • –Setup requires taxonomy alignment and validation configuration discipline
Use scenarios
  • Regulatory reporting engineers

    Validate recurring QRT XBRL outputs

    Fewer submission defects

  • Group reporting teams

    Reconcile taxonomy conformance across entities

    Consistent compliance checks

Show 2 more scenarios
  • Actuarial operations support

    Validate technical provisions reporting instances

    Faster issue isolation

    Use Arelle validation results to localize structural issues in produced XBRL liability data.

  • Compliance platform builders

    Integrate validation into CI workflows

    Automated release gating

    Execute validation in non-interactive jobs and publish validation outputs for downstream review.

Best for: Fits when teams generate XBRL Solvency II submissions and need repeatable validation before supervisory filing.

#4

CoreFiling Seahorse

vertical specialist

XBRL data sourcing, mapping, and validation platform for Solvency II Pillar 3 reporting.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Evidence-linked workflow that keeps parameter changes tied to calculation results and reporting sections.

CoreFiling Seahorse differentiates through a documentation-first workflow that ties Solvency II artifacts to calculation, reporting, and evidence capture in one place. It supports SCR and MCR computation lifecycles, including configuration of inputs used by the standard formula and mapped model components.

Pros
  • +End-to-end traceability links assumptions, calculations, and reporting evidence.
  • +Template-driven supervisory and public reporting reduces manual document assembly.
  • +Configurable calculation input mapping supports repeatable recalculation runs.
  • +Audit trail captures who changed parameters and when within approval flows.
Cons
  • –Complex actuarial setup needs careful configuration to avoid input mismatches.
  • –Automation coverage is stronger for reporting workflows than for custom analytics.
  • –Integration depth depends on supported import and export shapes for upstream systems.
  • –Model extension work can require specialist configuration rather than self-service.
Use scenarios
  • Solvency reporting specialists

    Produce QRT outputs from managed data

    Review-ready QRT packages

  • Actuarial teams

    Manage SCR and MCR lifecycles

    Traceable calculation outputs

Show 2 more scenarios
  • Regulatory filing operations teams

    Automate handoffs to filing packages

    Fewer manual transfer steps

    Use workflow or API-supported handoffs to move tagging outputs into repeatable filing preparation processes.

  • Supervisory reporting teams

    Prepare SFCR and RSR narratives

    Submitted reporting documents

    Generate template-driven narrative sections aligned to XBRL-based deliveries for SFCR and RSR reporting documents.

Best for: Fits when actuarial and compliance teams need traceable Solvency II reporting with governed change workflows.

#5

SAP Financial Consolidation

enterprise

Enterprise financial consolidation and regulatory reporting including Solvency II support.

8.1/10
Overall
Features8.1/10
Ease of Use8.2/10
Value8.0/10
Standout feature

Consolidation workflow orchestration that connects controlled adjustments to QRT and narrative report production with governed approvals.

SAP Financial Consolidation executes group reporting and consolidation workflows that feed Solvency II capital calculation outputs and supervisory reporting packages. It supports multi-entity data collection, consolidation adjustments, and controlled preparation of QRT and narrative reporting artifacts using configurable template logic.

Pros
  • +Tightly integrated consolidation workflows for group reporting readiness
  • +Configurable QRT and narrative reporting generation from controlled inputs
  • +Role-based access controls plus audit trails across consolidation changes
  • +Automation via consolidation job runs and integration hooks for upstream data
Cons
  • –Complex setup effort for Solvency II mapping and parameter governance
  • –Limited support for deeply customized actuarial calculation logic inside the tool
  • –Template-driven reporting can lag behind rapid regulatory template changes
  • –External data quality requirements increase validation workload for groups
Use scenarios
  • Group finance consolidation teams

    Automate Solvency II capital data preparation

    Faster, audit-ready capital inputs

  • Regulatory reporting officers

    Generate QRT templates and narratives

    Consistent Solvency II submissions

Show 2 more scenarios
  • Data governance and control teams

    Enforce access controls and change tracking

    Reduced reporting integrity risk

    Role-based access controls and audit trails track updates across consolidation, adjustments, and report production workflows.

  • Integration analysts

    Sync external Solvency II source data

    Lower manual reconciliation effort

    Published APIs support integration patterns that move validated consolidation data to and from external systems.

Best for: Fits when group finance teams need controlled consolidation and Solvency II reporting pipelines with strong auditability.

#6

Asseco Solvency II

enterprise

End-to-end Solvency II solution integrating all three pillars with SCR, MCR, QRT, and ORSA support.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Governance-aware run management that maintains trace links between calculation inputs and the produced reporting outputs.

Asseco Solvency II targets insurance groups and insurers that need end-to-end support for Solvency II computations, reporting preparation, and governance workflows. Its scope centers on a central calculation and data workflow that connects SCR generation, QRT reporting production, and the supporting documentation trail used for internal and supervisory review.

Pros
  • +Calculation workflow connects SCR inputs to QRT output preparation
  • +Extensibility supports connecting external data and parameter feeds
  • +Repeatable configuration supports consistent runs across reporting cycles
  • +Audit-trace oriented process supports internal governance workflows
Cons
  • –Admin setup and governance tuning take time for clean, repeatable runs
  • –Workflow depth can lag specialized actuarial modeling tooling
  • –Complex reporting variants increase operator effort during change cycles
  • –Limited evidence of turnkey coverage for every group modeling structure
Use scenarios
  • Solvency II actuarial teams

    Run SCR models and validation packs

    Faster SCR release cycles

  • Regulatory reporting coordinators

    Produce QRTs from controlled data lineage

    Repeatable QRT production

Show 2 more scenarios
  • Group finance governance owners

    Coordinate solvency governance across entities

    Consistent group-wide sign-offs

    Workflow controls standardize inputs, parameters, and sign-offs across insurer and group structures.

  • Risk management data teams

    Integrate parameter sources via APIs

    Reduced manual data reconciliation

    API-oriented connectors pull reference data and parameters into the calculation workflow with controlled change tracking.

Best for: Fits when insurers need governed Solvency II calculation runs that feed QRT production with traceability.

#7

Solvency II Solutions Tabular

vertical specialist

On-premises platform automating Solvency II and Solvency UK reporting from data ingestion to XBRL submission.

7.5/10
Overall
Features7.5/10
Ease of Use7.4/10
Value7.6/10
Standout feature

Grid-driven calculation configuration that keeps parameter changes distinct from computation steps during SCR recalculation.

Solvency II Solutions Tabular centers on tabular, grid-driven modeling workflows for SCR and related calculations that need audit-grade traceability. The product’s core workflow focuses on data ingestion into structured calculation inputs, scenario recalculation, and controlled export outputs aligned to supervisory reporting deliverables.

Pros
  • +Tabular modeling supports controlled recalculation across scenario inputs.
  • +Template-based output handling reduces manual rework for reporting extracts.
  • +Configuration-driven parameters help separate assumptions from computation logic.
  • +Traceable change points make model updates easier to review internally.
Cons
  • –Grid-centric workflows can slow teams needing extensive narrative composition.
  • –Automation coverage for full QRT filing pipelines is limited without external tooling.
Use scenarios
  • Actuarial reserving teams

    SCR build and scenario recalculation

    Audit-ready calculation trail

  • Compliance and reporting teams

    Supervisory deliverable data export

    Consistent submission files

Show 2 more scenarios
  • Group finance consolidation teams

    Undertaking templates and assumptions

    Reduced assumption maintenance

    Applies configuration-driven templates to manage undertaking-specific assumptions without altering core logic.

  • Model governance teams

    Controlled change management

    Lower governance risk

    Supports standardized tabular modeling workflows to preserve audit-grade traceability when calculation inputs change.

Best for: Fits when solvency calculation teams need controlled, tabular scenario modeling and repeatable reporting extracts.

#8

Moody's Analytics RiskIntegrity

enterprise

RiskIntegrity supports insurance capital modelling, Solvency II calculations, and regulatory reporting.

7.1/10
Overall
Features7.1/10
Ease of Use7.1/10
Value7.1/10
Standout feature

Operationalized Solvency II calculation runs that connect model inputs, validations, and reporting production in one workflow.

Moody's Analytics RiskIntegrity is a Solvency II governance and calculation workflow environment used to run SCR and capital planning processes, with Moody’s models and reporting building blocks. It supports end to end activities around underwriting and data-to-reporting cycles, including validation checks that feed supervisory reporting outputs.

Pros
  • +SCR and capital planning workflows designed for recurring Solvency II cycles
  • +Tight linkage between analytics inputs, checks, and reporting outputs
  • +Configuration controls support repeatable runs across legal entities
  • +Integration with Moody’s analytics content for model and reporting continuity
Cons
  • –Requires structured onboarding of inputs and calculation mappings before automation stabilizes
  • –Customization of narrative reporting workflows can be slower than template-driven tooling
  • –Reporting output tailoring depends on the available templates and configuration depth
  • –Advanced setups can increase admin overhead for cross-entity governance
Use scenarios
  • Solvency II governance teams

    Run SCR workflows and approvals

    Repeatable SCR calculations

  • Actuarial modeling teams

    Validate data-to-reporting inputs

    Fewer calculation exceptions

Show 2 more scenarios
  • Group capital planning teams

    Coordinate multi-entity capital planning cycles

    Coordinated capital projections

    It operationalizes solvency workflows across business lines and legal entities for capital planning runs.

  • Reporting production teams

    Produce recurring supervisory reporting outputs

    Consistent reporting releases

    It uses configuration controls to schedule recurring calculations and generate repeatable reporting outputs.

Best for: Fits when insurance groups need repeatable Solvency II calculation and reporting operations with Moody’s model content.

#9

BearingPoint Abacus360

enterprise

Abacus360 supports regulatory reporting, data validation, and submission management for regulated firms.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Workflow orchestration that binds SCR calculation outputs to QRT and XBRL instance production under review controls.

BearingPoint Abacus360 centralizes Solvency II production work so teams can run SCR calculations, generate QRT deliverables, and assemble narrative content for supervisory reporting in one controlled cycle. It supports configurable processes for Undertaking-specific parameters and consolidates outputs needed for ORSA support and follow-on reporting tasks. Automation focus shows up in rule-driven steps that guide data through calculation, review, and publishing preparation so evidence stays attached to each run. This design is best suited to organizations where multiple roles collaborate across actuarial, finance, and governance reporting.

Pros
  • +End-to-end workflow control from calculation runs to supervisory deliverables
  • +XBRL instance generation tied to the reporting run lifecycle
  • +Configurable review and approval steps for evidence retention
  • +Parameter and calculation inputs handled with traceability
Cons
  • –Requires process and governance configuration before scaled rollout
  • –Workflow discipline can slow fast turnarounds without prior setup
Use scenarios
  • Actuarial production teams

    Run SCR cycles with controlled inputs

    Repeatable SCR production cycle

  • Solvency reporting managers

    Assemble QRT and narrative reports

    Coordinated reporting release

Show 1 more scenario
  • Governance and compliance owners

    Maintain evidence for review

    Clear audit trail coverage

    Run history and approval steps provide traceable compliance evidence across reporting cycles.

Best for: Fits when Solvency II reporting teams need governed end-to-end run orchestration with XBRL output support.

#10

AMINDIS Solvency II

vertical specialist

Integrated simulation environment for SCR calculation, stress testing, and QRT production with Excel export.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

End to end submission preparation workflow that ties calculation inputs to generated supervisory and narrative reporting outputs.

AMINDIS Solvency II calculates SCR results, builds statutory output packages, and supports ongoing governance artifacts for the solvency cycle. The software focuses on end to end workflows from model parameter management through supervisory submission preparation, including QRT and SFCR style deliverables.

Pros
  • +Repeatable SCR calculation runs with controlled input handling
  • +Reporting output generation for QRT and SFCR style cycles
  • +Workflow controls for document and parameter changes across periods
  • +Audit-friendly traceability from inputs to generated submission files
Cons
  • –Model and reporting configuration requires careful upfront governance discipline
  • –Limited evidence of broad native integration coverage beyond reporting workflows
  • –Complex setups can slow down iterative reviews of assumptions
  • –Change history visibility depends on how teams structure data inputs
Use scenarios
  • Regulatory reporting teams

    Generate SCR and statutory output packages

    Faster submission readiness

  • Actuarial model owners

    Run internal model variants safely

    Reduced model change risk

Show 2 more scenarios
  • Solvency II governance managers

    Maintain QRT and SFCR workflows

    Consistent governance evidence

    Supports ongoing governance artifacts by standardizing input control and output generation for each cycle.

  • Risk and compliance analysts

    Prepare supervisory submission documentation

    Improved audit trail

    Generates structured reporting outputs aligned with QRT and supervisory submission requirements.

Best for: Fits when a solvency team needs managed calculation and reporting workflows with strong traceability across submission cycles.

Conclusion

After evaluating 10 solvency ii software, Workiva stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Workiva

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Solvency Ii Software

How does BearingPoint Abacus360 handle the path from SCR calculation outputs to QRT and XBRL instance files under review controls?
BearingPoint Abacus360 orchestrates governed workflows that bind SCR calculation outputs to QRT deliverables and then to XBRL instance production under review controls. The workflow tracking keeps parameter handling, validation steps, and reporting artifacts connected so audit teams can trace changes from inputs to published outputs.
Which tool is best suited for repeatable XBRL instance validation against the Solvency II taxonomy?
Arelle is the validation tool used for repeated XBRL instance testing and taxonomy conformance checks. Its workflow can regenerate and re-validate deliverables, and Python extensions allow custom validations tied to reporting conventions and data mappings.
When teams need both an actuarial modeling run and supervisory submission preparation in the same governed process, which product fits?
FIS Prophet fits teams that require scenario execution and supervisory submission preparation from a shared repeatable workflow. Its modeling core produces scenario outputs that feed structured quantitative and narrative reporting generation used in regulatory cycles.
How does Moody's Analytics RiskIntegrity operationalize Solvency II calculations across underwriting and data-to-reporting cycles for groups?
Moody's Analytics RiskIntegrity connects model inputs, validation checks, and reporting production in end-to-end solvency workflows. Configuration controls support recurring calculation runs that produce supervisory reporting outputs consistently across business lines and legal entities.
What breaks if a group uses consolidation workflows without a controlled audit trail for Solvency II reporting inputs and adjustments?
SAP Financial Consolidation reduces this risk by running consolidation jobs with role-based access controls and audit trails that track changes across consolidation adjustments and report production. Without that governance layer, downstream QRT and narrative artifacts can become hard to reconcile to the consolidated input adjustments.
How does CoreFiling Seahorse manage evidence and approval flows across assumptions, calculations, and SFCR or RSR-style narrative sections?
CoreFiling Seahorse uses a documentation-first workflow that links parameter changes to calculation results and then to reporting sections. Controlled change flows and approvals keep assumptions tied to outputs, including SCR and MCR computation lifecycles and narrative template sections.
Where does Workiva’s approach fit best when reporting workpapers require cross-linking between source figures and regulatory-ready documents?
Workiva fits teams that need document and spreadsheet link management with programmable updates when source figures change. Its controlled collaboration model supports traceable updates across narrative, tables, and structured exports, which matters for tightly governed review cycles.
How does Asseco Solvency II connect SCR generation to QRT production with traceability between inputs and produced outputs?
Asseco Solvency II maintains trace links between calculation inputs and the reporting outputs it produces. The governance-aware run management connects supported data feeds and parameter sources to SCR generation and then to QRT reporting preparation.
Which tool uses grid-driven modeling configuration so parameter changes remain distinct from computation steps during SCR recalculation?
Solvency II Solutions Tabular uses tabular grid workflows where teams can configure undertaking-specific assumptions without rewriting calculation logic. The product separates parameter configuration from computation steps during SCR recalculation, which supports audit-grade traceability.
When regulatory submission packages require coordinated generation of QRT and SFCR-style deliverables from controlled inputs, which product aligns best?
AMINDIS Solvency II aligns with teams that need managed calculation and supervisory submission preparation tied to controlled data inputs. Its end-to-end workflow supports QRT and SFCR-style deliverables with repeatable recalculation runs and traceable output generation across submission cycles.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Solvency Ii Software

We look at how well solvency ii software supports your own calculation and reporting workflow, not just whether it can “export files.” The biggest separator is whether the product handles your SCR and reporting cycle with the level of control, audit evidence, and mapping you need.

SCR calculation coverage

Why it matters

SCR calculation coverage determines whether your model produces the solvency results you expect without manual rework. If coverage is thin, teams end up stitching outputs outside the tool, which increases reconciliation effort.

How to check

Run a demo scenario using inputs that mirror your actual approach and check whether the product explains what it can and cannot calculate. Ask for a walkthrough of the full path from inputs to solvency outputs and review what gets left as a manual step.

Reporting template output fidelity

Why it matters

Reporting template output fidelity matters because solvency reporting is strict on layout and content. Gaps force last‑mile editing that can break repeatability between runs.

How to check

Request a sample set of the reporting outputs produced from a single run, including the narrative and quantitative sections. Verify whether the tool matches the expected structure and naming conventions in its own sample documentation.

Data mapping and input controls

Why it matters

Data mapping and input controls reduce the risk that wrong line items or units land in the calculation and reporting. This is especially important when you reuse data across reporting periods.

How to check

Inspect the input setup screen and ask how the product validates required fields, formats, and cross‑field consistency. Provide one intentionally flawed input and confirm what the tool catches and how it shows the source of the issue.

Repeatable reporting cycle automation

Why it matters

Repeatable reporting cycle automation helps teams rerun the process consistently across periods. Without it, you risk divergent outputs caused by manual steps and version drift.

How to check

Ask the team to demonstrate a full “from inputs to reporting pack” run more than once, after changing one input set. Check whether the tool records what changed and whether the outputs update deterministically.

Audit trail and change history

Why it matters

Audit trail and change history supports evidence collection when results are reviewed internally or by auditors. It also helps isolate why a later run differs from an earlier run.

How to check

In a demo, change a key input or mapping, rerun, and open the result history. Confirm it shows the before/after values, what configuration changed, and which outputs were regenerated.

Validation workflow support

Why it matters

Validation workflow support affects whether teams can document assumptions and checks around results. Strong workflows reduce time spent hunting for evidence after stakeholders ask questions.

How to check

Ask how the product captures validation notes, sign-offs, and links to the resulting outputs. If it supports a validation checklist, request an example and verify where reviewers can see discrepancies and reasoning.

Red flags

  • Outputs require heavy manual editing to match the reporting pack structure
  • Reruns with the same inputs do not reproduce identical results
  • Validation and change history do not clearly link inputs to outputs

Fit by situation

  • If you need to calculate your SCR results inside one workflow, prioritize SCR calculation coverage.
  • If you will generate a reporting pack every period, prioritize Reporting template output fidelity.
  • If you must defend changes and results over time, prioritize Audit trail and change history.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

Keep exploring

FOR SOFTWARE VENDORS

Not on this list? Let’s fix that.

Our best-of pages are how many teams discover and compare tools in this space. If you think your product belongs in this lineup, we’d like to hear from you—we’ll walk you through fit and what an editorial entry looks like.

Apply for a Listing

WHAT THIS INCLUDES

  • Where buyers compare

    Readers come to these pages to shortlist software—your product shows up in that moment, not in a random sidebar.

  • Editorial write-up

    We describe your product in our own words and check the facts before anything goes live.

  • On-page brand presence

    You appear in the roundup the same way as other tools we cover: name, positioning, and a clear next step for readers who want to learn more.

  • Kept up to date

    We refresh lists on a regular rhythm so the category page stays useful as products and pricing change.