The old approval cycle does not hold
AI behavior cannot be frozen at sign-off. Prompts, retrieval, orchestration, guardrails, and model updates can all change what the system says.
AI Application AssuranceGoodbye pilots.
Goodbye pilots.
Hello portfolio confidence.
Avido is the assurance layer financial institutions use to test, deploy, and govern AI applications across technologies, teams, and time. Turn isolated experiments into governed AI portfolios with evidence humans can trust.
- 1Move AI initiatives from pilot validation to repeatable assurance
- 2Apply one quality standard across models, vendors, and teams
- 3Generate evidence continuously before and after production
Trusted by teams moving AI beyond pilots
Portfolio confidence
The assurance layer banks 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
The shift
AI broke the operating model banks relied on.
Financial institutions were built to validate deterministic systems. Agentic AI is different: the same question can produce different answers, small context changes can shift behavior, and governance cannot rely on a one-time checkpoint.
Technology diversity multiplies complexity
Financial institutions will use many models, vendors, frameworks, and deployment patterns. Without a unifying layer, every application resets the confidence curve.
Manual review cannot scale alone
Risk, compliance, and domain experts must stay in the loop, but humans cannot generate the volume of tests, monitoring, and evidence AI portfolios require.
The platform
The three capabilities behind portfolio confidence
Avido gives financial institutions the operating layer needed to move from isolated AI pilots to governed AI portfolios.
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
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 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
ImplementationFrom first application
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.
- 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.
- 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.
- 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 operations
Avido brings testing, knowledge, issue management, and audit evidence into one operating layer for regulated AI.
Quickstart
Turn real behavior into evaluation coverage
Upload existing customer support chats or emails. Avido turns real language into test cases, edge cases, and evaluation criteria so assurance starts from how customers actually ask for help.
- 1Test cases from customer behavior
- 2Edge cases surfaced automatically
- 3Criteria ready for team review
System Journal
Make governance continuous
Every configuration change, document update, and parameter adjustment is tracked with an audit trail. When behavior changes, teams can see what moved and who approved it.
- 1Change history across the system
- 2Direct links to affected responses
- 3Evidence ready for governance review
Smart Inbox
Route AI risk to the right owner
Test failures, production alerts, and customer complaints are consolidated in one place. Avido summarizes issues, identifies patterns, and routes decisions to the right stakeholder.
- 1Deduplicated and prioritized issues
- 2Similar patterns detected over time
- 3Escalation paths for accountable teams
Document Optimizer
Keep knowledge safe to use
Your AI application is only as reliable as the knowledge it uses. See which documents cause failures, test updates before release, and maintain version control without touching code.
- 1Document quality analysis
- 2Version deployment workflow
- 3Automatic conflict detection
- 4Coverage testing for every document
Customers
What teams building regulated AI say
“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.”
MortenData Scientist, Skatteguiden
“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 ScheuermannCTO, Kamina
Security
Built for institutions that cannot outsource trust.
Avido is designed for regulated financial services, where data sovereignty, auditability, and deployment control are part of the product requirement.
- 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.
Book a demo
Ready to move from pilots to portfolio confidence?
See how Avido gives financial institutions a repeatable assurance layer for testing, deployment, monitoring, and governance.
FAQ
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team.