Avido
AI evaluation and governance, built for insurance

Ship more insurance AI — with the evidence your risk function expects.

Avido continuously tests, monitors, and audits every AI application across your stack — generating the evidence your CRO, EIOPA reviewers, and AI Act conformity assessors expect.

  • 1Move claims, underwriting, and customer-facing AI from pilot to portfolio scale
  • 2One quality standard across models, vendors, and use cases
  • 3Evidence generated continuously, ready for ORSA, EIOPA Opinion, AI Act, and internal audit
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Avido collaboration interface for insurance teams reviewing AI policy answers
Built for
  • EIOPA Opinion
  • Solvency II
  • EU AI Act
  • DORA
  • GDPR

Bringing the AI assurance playbook from financial services to insurance

ABN AMRO logoKamina logoSkatteguiden logoSydbank logo
Portfolio confidence

The assurance layer insurance carriers need for AI at scale

01
Portfolio-wide visibility across AI initiatives
02
One quality standard across every AI stack
03
Continuous evidence before and after launch
04
Human judgment focused where it matters
What we help you ship

AI applications we help insurance teams ship

Across text and voice GenAI, Avido covers most patterns insurance teams build. The seven below are the application shapes where we already have customer evidence from financial services — and where the methodology transfers directly to insurance.

  • 01

    Policy and terms Q&A

    Customer-facing or handler-facing chatbots grounded in your policy library.

    Avido keeps the underlying policy documents free of contradictions before AI uses them, then tests AI answers at scale against thousands of policy interpretation scenarios. Claims handlers define what 'correct' looks like; Avido continuously tests for it.

  • 02

    FNOL triage

    First-notice-of-loss intake and triage, text or voice.

    Avido turns a month of historic FNOL records into a structured test suite. Claims, risk, and legal each run their own scenarios. Every triaged decision is traceable to the model and configuration state that made it.

  • 03

    Claims document intelligence

    OCR plus AI extraction from medical reports, repair estimates, and legal correspondence.

    The proven banking pattern — including the Lunar OCR work — ports directly. Avido tests extraction quality at scale and catches regressions when document formats or models change.

  • 04

    Counterparty and claimant adverse media screening

    Targeted external search with AI synthesis into structured risk findings.

    The same shape as banking KYC adverse media — scoped to insurance claimants, brokers, and business counterparties. Audit trail per decision.

  • 05

    Internal copilots for handlers and underwriters

    Productivity AI for claims handlers, underwriters, and brokers.

    Lower regulatory bar than customer-facing AI, and the fastest path to a first deployment under Avido. The methodology becomes the baseline for everything you ship next.

  • 06

    EIOPA Opinion and Solvency II regulatory mapping

    Ingest regulator publications and standards updates; map them against your internal policies and underwriting frameworks.

    Surface gaps before the next supervisory review. The same banking AI Act / DORA mapping pattern, scoped to insurance.

  • 07

    Bancassurance shared AI surfaces

    Where you share an AI surface with a partner bank (NN Group / ABN AMRO Verzekeringen shape).

    Avido becomes the shared evidence layer both sides audit against the same criteria — the most direct parallel to existing financial services deployments.

Building something else? The same approach applies to most text and voice GenAI patterns — talk to us.

Proof

What customers see

Lead — ABN AMROABN AMRO logo

38% better-performing AI

On applications like the one at ABN AMRO, AI ships 38% better-performing with 60× more testing per month. 10× more production-ready configurations explored. 20× reduction in failures in four weeks. 30 stakeholder-run test configurations. Coin-flip accuracy lifted to 98% on the application's highest-granularity task — versus twelve weeks of prior in-house work without comparable gains.

60×
more testing per month
20×
fewer failures in 4 weeks
98%
accuracy on hardest task
Document Optimizer wedge

80% lower token cost, 8% higher accuracy

At a global top-20 bank early proof-of-concept, Avido's Document Optimizer cut token cost by 80% and lifted accuracy 8% in weeks — by finding self-contradicting articles in the knowledge base before they affected frontline AI quality. The same risk exists in any policy library or claims documentation set.

80%
lower token cost
+8%
accuracy lift
Weeks
to first impact
Operating outcome

≈ €1.2M / year returned

Across deployments, customers save 96 FTE-months in year one and 41 FTE-months every year after — roughly €1.2M/year in regulatory, QA, and AI engineering capacity returned to product work.

96
FTE-months saved (year 1)
41
FTE-months / year after
€1.2M
capacity returned per year

Document Optimizer figures are from a global top-20 banking proof of concept (anonymised). The operating outcome is a composite across Avido deployments.

The shift

From point-in-time validation to continuous insurance AI assurance.

Insurance carriers were built to validate deterministic systems: claims rules, actuarial models, capital frameworks. AI is different. The same input can produce different answers, and small context changes can shift behavior. Assurance has to be continuous instead of a one-time checkpoint.

Before
With Avido
Serial risk and compliance review per AI release
Continuous evaluations across the AI portfolio
Manual sampling of customer-facing AI outputs
Automated evidence at thousands-of-tests scale
Per-use-case validation that resets each time
One standard across claims, underwriting, and customer-service AI
6+ month approval cycles per AI feature
Weeks, not quarters
The platform

The three capabilities behind portfolio confidence

Avido gives insurance carriers the operating layer needed to move from isolated AI pilots to governed AI portfolios across claims, underwriting, and customer service.

Portfolio operations interface

AI Portfolio Operations

Replace project-by-project validation with repeatable operations for AI applications. Avido helps teams define criteria, coordinate reviews, track ownership, and keep every system visible after launch.

  • 1Portfolio-wide status and ownership
  • 2Role-specific workflows for every stakeholder
  • 3One operating layer for quality decisions
Unified AI quality checks

Unified AI Quality

Apply the same evaluation methodology across models, vendors, prompts, retrieval pipelines, and deployment patterns. Quality becomes comparable across applications, technologies, and teams.

  • 1Consistent benchmarks across stacks
  • 2Custom criteria for policies and risk rules
  • 3Comparable evidence for leadership
Continuous assurance reporting

Continuous AI Assurance

Generate high-volume evaluations and production monitoring so evidence is always available. Human experts stay in control while machine-scale checks catch drift, gaps, and regressions.

  • 1Testing before release and after changes
  • 2Production monitoring for drift
  • 3Audit-ready evidence over time
Implementation

From first application to repeatable assurance

Start with one high-value AI application, then reuse the same assurance model across teams, technologies, and future deployments.

  1. Week 1

    Establish the assurance baseline

    Map use cases, risks, owners, and quality criteria

    Use existing customer conversations, policies, and knowledge sources to define what good AI behavior means for the first application.

    • 1Inventory of use cases and expected behavior
    • 2Evaluation criteria generated from real-world inputs
    • 3Risk, compliance, and domain owners aligned
    • 4Baseline view of current AI behavior

    Result: Go from abstract ambition to concrete assurance requirements.

  2. Week 2

    Run evidence-generating evaluations

    Connect through your cloud, SDK, or existing workflow

    Run evaluations at scale against your application, knowledge base, and policies. See where the system performs, where it fails, and what needs review.

    • 1Automated tests from real user scenarios
    • 2Policy and compliance checks
    • 3Knowledge gap identification
    • 4Comparable scores and evidence

    Result: Create a reusable quality standard for future AI applications.

  3. Weeks 3–4

    Operate and govern continuously

    Keep humans in control with machine-scale evidence

    Route issues to the right stakeholders, validate changes before release, and monitor production behavior as models, prompts, and knowledge evolve.

    • 1Centralized issue routing and resolution
    • 2Knowledge and policy updates tested before release
    • 3Continuous production monitoring
    • 4Full audit trail of all changes

    Result: Move from one successful deployment to portfolio-wide assurance.

Product depth

The workflows that turn assurance into daily insurance operations

Avido brings testing, knowledge, issue management, and audit evidence into one operating layer for regulated insurance AI.

Avido Quickstart for insurance
Quickstart

Turn historic claims and policy interactions into evaluation coverage

Upload existing claims chats, FNOL records, and policy Q&A interactions. Avido turns real language into test cases, edge cases, and evaluation criteria so assurance starts from how claimants and brokers actually ask for help.

  • 1Test cases from real claimant and broker behavior
  • 2Edge cases surfaced automatically
  • 3Criteria ready for claims, risk, and compliance review
Avido System Journal for insurance
System Journal

Make governance continuous

Every policy update, model swap, knowledge base change, and parameter adjustment is tracked with audit trail. When behavior changes, claims, risk, and compliance can see what moved and who approved it.

  • 1Change history across policies, models, and configuration
  • 2Direct links from change to affected responses
  • 3Evidence ready for governance and supervisory review
Avido Smart Inbox for insurance
Smart Inbox

Route AI risk to the right owner

Test failures, production alerts, and customer complaints are consolidated, summarised, deduplicated, and routed — to claims, risk, compliance, or business depending on the failure mode.

  • 1Deduplicated and prioritised issues
  • 2Patterns detected over time
  • 3Escalation paths into claims, risk, and compliance
Avido Document Optimizer for insurance
Document Optimizer

Keep your policy library safe for AI to use

See which policy wordings, terms, and procedural documents cause AI failures, test updates before release, and catch contradictions before customer-facing AI uses them.

  • 1Quality analysis on policy and procedural documents
  • 2Version-controlled deployment workflow
  • 3Automatic contradiction and conflict detection
  • 4Coverage testing for every document
For your team

Who at your team gets value from Avido

Avido is built so each side of the table — engineering, risk, and the business — works from the same evidence.

For your AI and engineering teams

Heads of AI, AI engineering leads, data science leaders, CTOs.

Get back to building product. Stop hand-rolling eval harnesses, audit-trail tooling, and spreadsheet test suites that don't survive the next release. The methodology you adopt for the first application becomes the baseline for the next ten — so the marginal AI feature stops costing months of meetings.

  • 1More AI features shipped per regulatory FTE-year
  • 2Evaluation infrastructure that scales without your team building it
  • 3A repeatable assurance workflow risk and business can audit

For your risk and compliance teams

Heads of compliance, heads of operational risk, CROs, heads of AI governance, DPOs.

Continuous evidence instead of pre-audit scrambles. Your governance forum sees AI behavior as it actually is — not as it was sampled six weeks ago. EIOPA Opinion expectations, Solvency II System of Governance, AI Act, and internal audit all read from the same evidence layer.

  • 1Tamper-proof audit trail across every AI change and decision
  • 2Multi-stakeholder review where risk, compliance, and business each run their own scenarios
  • 3Evidence sized for the next supervisory review, not for last quarter's checkpoint

For your business owners

Heads of claims, heads of customer service, heads of operations, COOs with cost-to-serve mandates, chief customer officers.

Your AI features actually ship — and stay shipped. Cost-to-serve, NPS, AHT, and claims-cycle metrics move because the AI reaches production, not because it reaches pilot. You define what good looks like for the customer; Avido tests for it continuously.

  • 1AI applications that survive the next risk review and stay in production
  • 2A way to define 'good' in your language, not engineering's
  • 3Operating-cost outcomes visible quarter over quarter, not promised in board papers
Customers

What teams building regulated AI say

Skatteguiden logo

“Being a smaller team, it is essential for us to pick our battles wisely and use smarter tools whenever we can. The Avido platform highlights the areas that require attention, so we can focus our time and expertise where it has the most impact. This balance between automation and human oversight has greatly improved our capabilities.”

Morten
MortenData Scientist, Skatteguiden
Kamina logo

“At Kamina, trust and compliance are the foundation of everything we build. Partnering with Avido gives us the confidence that our chatbot delivers secure, reliable support while meeting the high standards of the financial industry. This allows us to focus on our mission of prevention—helping people avoid financial crises—knowing our technology is both safe and scalable.”

Chris Scheuermann
Chris ScheuermannCTO, Kamina
Security

Built for institutions that cannot outsource trust.

Avido is designed for regulated insurance, where data sovereignty, auditability, and deployment control are part of the product requirement.

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Based in the EU
Hosted in the EU, ensuring compliance with GDPR and other European regulations.
No Data Retention in LLMs
You can opt in to use Avido's LLMs with zero data retention.
SOC2 Type 2
Our SOC2 Type 2 is in-progress, ensuring the highest level of security and compliance.
Bring Your Own Cloud
Deploy on your own cloud infrastructure with zero egress, ensuring complete control and data sovereignty.
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Ready to move insurance AI from pilots to portfolio confidence?

See how Avido gives insurance teams a repeatable assurance layer for testing, deployment, monitoring, and governance.

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FAQ

Insurance AI assurance, answered

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