01
A reliable data foundation
Know where information lives. Give it an agreed home and turn unstructured content into checked records linked to their sources.
Digital foundations. Useful AI.
Your whole business.
Better connected.
AI needs reliable information and a connected business to work well. We build that foundation: your websites, data, software connections and workflows. Then we add agents that fit the way your team works—with your data under your control.
See the whole journey
Plan. Connect. Automate. Grow.YOUR DIGITAL FOUNDATION
Data sovereignty first
Your data. Your control.
Costs you can understand
Your people at the centre
Why the foundation comes first
Give AI a business
it can work with.
When data is scattered, software is disconnected and responsibilities are unclear, another AI subscription can add cost without removing the work.
We map where your data lives, agree how it is stored and turn useful information from documents and emails into checked, structured records. Then we connect your systems and add automation around the work your team does.
Take a simple quote.
See what we build underneathAn agent needs current prices, customer details and approval rules. If these are missing, your team still has to find the information and fix the result.
BUILT AROUND YOUR BUSINESS01—03
02
Systems that work together
Connected tools and a process that matches how your team actually works.
03
AI with a useful job to do
An agent with the right inputs, a defined task and results you can check.
Start with one process. Build only the foundation it needs.
Research context: RAND’s interviews on AI/ML project failures identify missing data, inadequate infrastructure and poor fit with the business problem as recurring issues. They do not establish a failure rate for off-the-shelf agents.
Digitalisation, step by step
From manual work
to a connected business.
Start by understanding where your data lives and turning scattered information into reliable records. Then build the websites, connections and workflows that put those records to work.
The problem
Important information is scattered across inboxes, PDFs, shared folders and spreadsheets. It is unclear which version to trust, where it should be stored or how another system can use it.
For example
Turn an emailed PDF order into a checked record: customer, product codes, quantities and delivery date. Keep the original PDF attached for reference.
What we do
Know where your data lives. Make it usable.
- Map the data behind one process: where it lives, who owns it and how it moves.
- Agree where documents and master records belong, with storage, access, backup and retention rules.
- Extract useful fields from documents, emails and inconsistent spreadsheets into structured records. Check missing values and duplicates, review uncertain fields and keep a link to the original source.
What you receive
A mapped, structured data foundation
A data map, agreed storage and checked records that your team, systems and agents can use, with clear ownership and links to the source documents.
How we check it
Check records against their sources, test access and confirm that the team can find the right version. Track missing fields, duplicates and extraction errors.
You choose where to begin. The scope, price and delivery plan are agreed for your project. Data access and hosting are part of that plan.
How we handle your dataConnected 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
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.
See what changes in practice
A workflow you can follow.
Control you can keep.
Choose an example. Follow the handover from a routine task to a reviewed result.
EORVO / WORKFLOW EXPLORERIllustrative example
Purchase order · example.pdf
- Customer
- Example customer
- Product
- Component A
- Quantity
- 240 units
- Delivery date
- Needs confirmation
Human review before consequential action
01 / Receive document
Collect the order from an approved inbox. Keep the original document attached.
From inbox to an order ready for review.
An incoming order becomes structured information. Your team makes the final decision.
Big ambition. Any starting point.
Built for you.
And the way you work.
01 / PERSONALYour idea deserves
Your digitalisation.
Your idea deserves
a proper start.
Personal websites, creative projects, everyday automations and a private AI setup. Practical help, even if this is your very first step.
Explore your idea →02 / BUSINESSYour digitalisation.
From plan to practice.
A practical roadmap, websites and portals, organised data, connected systems and automated workflows. Training and agreed support help your team carry the change into everyday work.
Build for your business →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.
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.
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 optionsYour first step can be a practical one
Start with what your
business needs today.
A new website, a better handover or an agent for repetitive work. Each can become part of a connected, maintainable environment.
Websites & portals
Give customers and your team a useful digital front door. Connect enquiries and information to the next step in the process.
Explore digital experiencesConnected workflows
Move information between the tools you already use. Reduce re-entry, clarify ownership and handle exceptions.
Explore workflow automationPractical AI agents
Help your team handle orders, documents and knowledge. Add approved actions on top of the foundation.
Explore the agentsEvidence, with context
AI can help.
Measure where it does.
Published studies show gains in specific tasks and settings. These are research findings, not Eorvo results or forecasts for your company.
More issues resolved per hour
Average productivity improvement in a customer-support deployment reported in the 2023 NBER working paper.
Read the study ↗Faster task completion
For consulting tasks within AI’s capability boundary, in the Harvard/BCG study. Outcomes varied by task.
Read the study ↗Higher human-rated quality
Reported for suitable consulting tasks in the 2023 Harvard summary. This is not a company-wide accuracy measure; AI can worsen unsuitable tasks.
Read the findings ↗Your pilot should track
Minutes per task · First-pass accuracy · Exception rate · Human review time · Cost per completed task
What a useful result can look like
Less routine.
More capacity.
Illustrative scenarios, not verified client outcomes. Figures assume total handling time includes human review. Actual results require a measured pilot.
Manufacturing / illustrative
Orders without repeated data entry
An Order Agent prepares draft ERP entries. Staff review exceptions and approve the transaction.
- Assumed before / month
- 500 orders × 12 minutes
- Assumed after / month
- 500 orders × 4 minutes
Hospitality / illustrative
Customer replies with a head start
A service agent drafts answers from approved information. Staff check context and send the reply.
- Assumed before / month
- 400 enquiries × 10 minutes
- Assumed after / month
- 400 enquiries × 4 minutes
Professional services / illustrative
Knowledge closer to the team
A knowledge agent retrieves referenced information, with access matched to source permissions.
- Assumed before / month
- 200 searches × 10 minutes
- Assumed after / month
- 200 searches × 3 minutes
Time released is not automatically cash saved. Deduct implementation and running costs; do not double-count overlapping workflows.
Explore the scenariosYour business. Further.
Let’s make your next step
a confident one.
Tell us how your company works today.
We’ll help you work out the next step.