Your secure digital foundation

Build with confidence.
Stay in control.

An AI tool cannot reliably act on information it cannot find or trust. We organise your data, connect your software and build the access, approval and monitoring controls your workflows need.

Start with your data foundation

Map where information lives across inboxes, documents, spreadsheets and business systems. Agree storage, ownership, access, backups and retention. Extract useful fields into checked, structured records and keep links to the original sources.

Connect what you already use

Connect the agreed records to your website, ERP, CRM and everyday tools. Define which system owns each record and how updates reach the people and workflows that need them.

Define boundaries before actions

Scope access controls, encryption and human approval. Separate what an agent may read from what it may change.

Make operations visible

Plan audit trails, monitoring, backups and recovery. Agree how to handle exceptions and ongoing support.

YOUR BUSINESS ENVIRONMENT
Connected workflows
Your secure foundationAccess · Data boundaries · Review · Traceability
LocalPrivate cloudHybrid
WebsiteERP / CRMBusiness data

Start with one use case. Build on the same foundation.

Connected systems

The tools you know.
Connected around you.

Your CRM, documents, finance and everyday tools can work together. We design the connections around your processes, building on what already works.

  • Microsoft Teams
  • Google Drive
  • Gmail
  • Slack
  • HubSpot
  • Salesforce
  • Notion
  • Google Calendar
YOUR CONNECTED BUSINESS
Eorvo
One shared foundation.Your tools. Your workflows.Your data. Your control.
  • Shopify
  • Stripe
  • GitHub
  • Supabase
  • Zapier
  • n8n
  • Dropbox
  • Figma

Examples of tools we can assess for your project. Connections depend on available APIs, permissions and your setup; scope is confirmed before implementation.

Data sovereignty

Your data.
Your control.

You should know where your information goes, who can see it and how an AI system may use it. We make those decisions part of the project from the start.

Choose where it runs

Compare your own infrastructure, private cloud and approved AI services against your privacy, quality and cost requirements.

Control access and actions

Keep documents available to the right people. Decide what an agent may read, what it may change and when someone must approve.

Keep a clear record

Document the providers, settings, retention and export process, so you can review the setup and plan future changes.

Understand your data options

EU-only requirements are checked across the full workflow. Hosting location is one part of GDPR compliance.

Confidence is built into the foundation

Know where your data goes.
Know who stays in control.

Security starts with decisions you can understand. We agree the controls around your information, your people and each action an agent can take.

The right access

Define who can see information, use a model and approve an action. Carry those permissions into each connected workflow.

Clear data boundaries

Choose where data is stored and processed. Assess local or private deployment when the information needs to stay in a controlled environment.

Accountable actions

Agree approval steps and an audit trail. Keep people involved in sensitive decisions and make exceptions visible.

Resilience from the start

Plan encryption, backups, monitoring and recovery as part of the scope. Test the agreed controls before expanding.

Model choice. Cost control.

The right intelligence.
At the right running cost.

Use the capability each task needs. We assess local, private and hosted models against quality, data requirements and the total cost of operating the workflow.

01

Greater deployment control

Local models

Run suitable models on infrastructure you control. A practical option to assess for sensitive information or predictable, repeated workloads.

Trade-off: hardware, capacity and ongoing maintenance.

02

Capacity when you need it

Private or hosted models

Use managed infrastructure or model APIs where their capabilities and deployment terms fit. Agree what data may leave your environment.

Trade-off: usage charges, service terms and provider dependency.

03

Choose per task

A hybrid approach

Keep suitable routine tasks local. Route more demanding work to an approved model, with clear rules for data handling and escalation.

Trade-off: routing, testing and monitoring across models.

Keep the cost of each task visible.

Send only the information a task needs, set usage limits and use smaller models when they deliver the required quality. Compare the cost per completed task with the time saved, including human review and corrections.

Local inference can reduce third-party token charges; it still has infrastructure and operating costs. The right choice depends on your workload.

Discuss your model options

For you. For your business.

Let’s explore what’s possible.

Explore your project
Let’s shape your idea