Disclaimer: Aviva is not a client of WrangleAI. This blog and accompanying video use Aviva purely as a case study and narrative example, not as an endorsement or indication of any commercial relationship.

AI is transforming the insurance industry. Large insurers like Aviva Insurance are using AI to automate claims, analyse documents, improve customer experience and speed up decision making. But as AI usage grows, so do the risks. More model calls mean more token spend. More teams using AI means more chances of data leaving controlled environments. And without the right visibility, AI can become a blind spot inside the organisation.

Now imagine Aviva Insurance running all its AI workflows with full visibility, strict data loss protection controls, safe policies and predictable costs. Imagine knowing where every token is going, which models are being used and whether any sensitive data is at risk.

This case study explores what Aviva Insurance could achieve if they used WrangleAI as their AI control plane. This is not based on Aviva being a customer. It is simply a practical example of how WrangleAI can support a complex, regulated organisation that depends on safe, secure and cost efficient AI.

Video Walkthrough: How WrangleAI Supports a Large Insurer

Below is the video that explains how WrangleAI manages AI usage, monitors token flows and enforces safety controls.

This walkthrough shows how WrangleAI helps large organisations protect data, spot usage issues and improve cost efficiency, which matches the needs of a major insurer like Aviva.

The AI Landscape Inside Aviva Insurance

Aviva Insurance uses AI across many core operations, such as:

• AI claims processing
• AI document analysis
• Fraud detection tools
• Customer support chatbots
• AI risk scoring
• Policy recommendation systems
• AI driven underwriting support

These systems rely on large language models and other AI models to help teams work faster. In insurance, AI has clear benefits, but behind the scenes it introduces real challenges.

Aviva Insurance must deal with:

• High volumes of sensitive customer data
• Strict compliance rules
• Large model usage across many teams
• Expensive model calls
• The risk of data being sent to the wrong model
• The need for clear logs and audit trails

At scale, even a small mistake can lead to data loss, non compliance or large bills.

This is why Aviva Insurance would benefit from WrangleAI.

Challenges Aviva Insurance Faces with AI at Scale

Here are the problems insurers face as AI adoption grows:

1. Risk of Data Exposure

Insurance companies work with identity documents, claim notes, medical references and financial information. If AI prompts contain sensitive data or are routed to unsafe models, data loss becomes a risk.

2. Complex Multi Model Usage

Different teams use different models for claims, fraud, chat and underwriting. Without visibility, it becomes impossible to understand the full picture.

3. Rising Token Costs

Documents, claims and long text analysis create heavy token usage, which leads to high costs if not controlled.

4. Shadow AI Usage

Teams may test or launch AI features without governance oversight, creating blind spots.

5. Compliance Requirements

Aviva Insurance must meet strict regulatory expectations, including full audit logs, data safety controls and usage transparency.

These are exactly the problems WrangleAI solves.

What WrangleAI Could Bring to Aviva Insurance

WrangleAI is a complete AI control plane that helps large companies monitor, optimise and govern AI usage across all teams and models.

Below is what Aviva Insurance would gain.

Unified AI Usage Monitoring

Aviva teams use AI across claims, underwriting, customer experience and fraud. Without centralisation, usage becomes scattered.

WrangleAI gives Aviva Insurance a single dashboard that shows:

• Total usage per team
• Total cost per workflow
• Token breakdown
• Model performance
• Provider level usage
• Early signs of unusual behaviour

This gives Aviva full visibility across all AI operations.

Strong Data Loss Protection Controls

This is the most important part for a regulated insurer.

WrangleAI policies allow Aviva to control what data can or cannot leave the organisation. Aviva could apply rules such as:

• Block all personal data from leaving internal workflows
• Block claim numbers, phone numbers or addresses
• Restrict which teams can use specific models
• Strip sensitive fields before prompts are sent
• Enforce safe routes for high risk prompts
• Monitor all data that enters any AI model

These policies help Aviva prevent accidental data leaks.
They also support compliance and internal governance teams who need strong guardrails.

This turns WrangleAI into a data protection layer for every AI request.

Quick link: What If HubSpot Used WrangleAI?

Cost Control With Optimised AI Keys

Optimised AI Keys help Aviva send the right request to the right model based on cost and quality needs.

Aviva could:

• Route simple claim summaries to cheaper models
• Use premium models only for complex analysis
• Reduce token waste
• Lower the cost of customer service chat
• Keep model usage predictable and controlled

This is powerful when thousands of documents or claims are processed per day.

Accurate Forecasting and Predictable Budgets

Insurance companies need stable cost planning. WrangleAI helps Aviva:

• Forecast AI spend
• See cost per department
• Understand which models cost the most
• Set alerts for unusual spikes
• Plan budgets around usage patterns

This helps finance and leadership stay in control.

Full Audit Trails and Governance

Regulated companies need clear logs of every decision. WrangleAI provides:

• Complete logs of every model call
• User level activity
• Prompt categories
• Policy enforcement records
• Safe endpoint usage
• Full model routing history

This helps Aviva Insurance prove safe AI usage during audits and regulatory reviews.

Video Walkthrough: How WrangleAI Supports a Large Insurer

Below is the video that explains how WrangleAI manages AI usage, monitors token flows and enforces safety controls.

A Practical Example: Aviva Claims Processing With WrangleAI

To show how this works, here is a real world style example of Aviva Insurance using WrangleAI behind their claims assistant.

Step 1: A customer uploads a claim document

The document is analysed with AI to extract details.

WrangleAI checks the data and applies policies such as:

• Prevent personal data from leaving safe model routes
• Block any sensitive fields
• Ensure only approved models handle the data

Step 2: Optimised AI Keys route tasks to the right models

Simple extraction tasks go to a cost friendly model.
Complex medical or legal analysis goes to a stronger model only when needed.

Step 3: WrangleAI tracks token usage and costs

Teams see the exact usage per claim, per task and per model.

Step 4: Compliance receives full logs

They see who triggered the workflow, what policies were applied and how data was handled.

Step 5: Leadership gets clear insights

Aviva can analyse trends and improve efficiency across the whole claims journey.

This example shows how WrangleAI controls both cost and risk at the same time.

Quick link: What If GoDaddy Used WrangleAI?

What Aviva Insurance Could Achieve With WrangleAI

If Aviva used WrangleAI, they would unlock:

• Strong data loss protection across all AI workflows
• Full visibility of model usage
• Lower AI costs through smart routing
• Safe model selection
• Better compliance
• Stronger customer trust
• Faster product delivery with fewer risks
• Predictable spending for leadership

It would position Aviva Insurance as one of the safest and most efficient AI adopters in the insurance industry.

Steps Aviva Insurance Would Take To Implement WrangleAI

Implementing WrangleAI is simple and does not require full system changes.

1. Connect all Aviva AI provider keys to WrangleAI
2. Replace direct model keys with Optimised AI Keys
3. Apply data protection policies for internal and external workflows
4. Tag usage by team or department
5. Set budgets and alerts
6. Turn on unified monitoring dashboards
7. Enable governance and audit logging
8. Analyse insights and improve workflows

This gives Aviva a strong AI foundation that scales safely and efficiently.

Final Thoughts

Aviva Insurance is a large and trusted name in the insurance world. As they continue to grow their AI capabilities, the risks around data loss, high usage costs and hidden model calls will increase. They need a strong layer that protects their data and gives them full control.

WrangleAI can provide that layer. With complete visibility, strict governance and powerful data loss protection policies, Aviva Insurance could build faster, safer and more cost effective AI workflows.

If you want to see how WrangleAI can help your organisation control AI usage, protect sensitive data and reduce costs, now is the right time to explore it.

Want to see WrangleAI in action? Request a demo today and discover how to protect and optimise your AI operations with confidence.