Make Your Business AI-Native
End-to-end AI delivery
AI Strategy, Made Operational
Drawn from your data, delivered in days
What you get
- The strategy, built on your data
- The roadmap, benchmarked
- The agents, at work
Connect the evidenceReconstruct how work actually happens
The context is already there
Across your systemsBetween your people
Outlook
Teams
SharePoint
Zoom
Dynamics 365
Salesforce
SAP
Oracle
01Understand
Reconstruct how work actually happens
The ERP records one part of the story – a supplier update changes anotherVarolio connects the evidence into a current view of the work: its owner, stage, blocker and next actionConnect scattered records and updates into one current case: owner, stage, blocker and next action
Explore the operational modelThe operational footprint
Purchase order
PO-1847
- Owner
- Procurement
- Current blocker
- Release documents missing
- Next step
- Collect documents for release review
- Record
- Update
- Current state
Evidence 01
Original commitment
The purchase order records the original Friday delivery commitment
Evidence 02
Revised commitment
A later supplier update moves the expected arrival to MondayThe earlier date remains in the evidence trail
Evidence 03
Current blocker
The release checklist is still incompleteProcurement owns the document request before release review
02Prioritize
Find the frictionFollow the value
A late order is a case – repeated release delays are a patternPrioritize improvements by recurring effort, operational impact, evidence and delivery feasibilityTrace repeated waits and reworkPrioritize by impact, evidence and feasibility
Process mining · 412 purchase orders · last 90 days
Stage
Release review
371 of 412 purchase orders reached this step
- To get here
- 3.4d · usually 0.9d
- Slowest tenth
- 9d+
- Hit an issue here
- 31%
- Went back here
- 64 times
Waiting for
Where they go next
- ↺ Confirmed27%
- Ready to move73%
03Deliver
From a discovered bottleneck to a working solution
Varolio builds and deploys the agents, apps and automations your operation needsYour team agrees the action boundaries and success measures; behavior is evaluated before deploymentVarolio builds and deploys the solutionYour team agrees the action boundaries and success measures
Customer-specific solution
Collect and check release documents
- Operational object
- Purchase order
- Actions
- Collect evidence, check requirements, route review
- Boundary
- Release decisions require the authorized owner
- Success measure
- Manual touches per release
Before deployment
Test the workCheck the boundaries
- Complete evidence
- Missing document
- Conflicting evidence
- Unauthorized action
Example execution / PO-1847
The next step, with its context
- 01Evidence collected
- 02Requirements checked
- 03Review package prepared
Value you can account for
See the opportunityMeasure the improvement
Agree what matters before deliveryThen connect the change in the operation to the evidence behind the resultSet the baselineMeasure the changeVerify the value
Example measure
Manual touches per release
- 01
Establish the baseline
Count the work before the solution is deployed
- 02
Observe the change
Compare equivalent cases over an agreed period
- 03
Validate the benefit
Separate time freed from savings actually realized
- 04
Account for the cost
Include delivery and ongoing operating costs
Validated benefit−Total cost=Net value
The technology underneath
One operational modelEvery improvement builds on it
From source evidence to deployed solutions, five connected layers keep the work grounded in how your business actually runsFive connected layersOne shared understanding of the operation
Deliver against the same operational truth
Assemble and evaluate agents, apps and automations around your workflowCarry context, evidence and action boundaries into execution
Find the patterns across the operation
Compare how cases actually moveSurface repeated waits, rework and handoff gaps, then prioritize what is worth improving
Give AI a model of your business
Connect your objects, relationships and operating rulesAn order, its supplier, the shipment and the approval all share the same operational context
Turn signals into a reliable history
Reconcile updates into events and current case statesPreserve what changed, when it changed and the evidence behind it
Start with the work already happening
Systems, messages and documents provide the operational footprintScope access around the sources and permissions agreed for the deployment
New evidence keeps the model currentEach deployment builds on it
Built around your operation
Complex operationsPractical starting points
Different industries - Different ways of workingAI shaped to the people, systems and decisions in yours
A few practical questions
Clarity before commitment
Do we need to know what to automate?
No. Start with your operation and business priorities. Varolio reconstructs the work from operational evidence to uncover recurring friction. That broader understanding helps identify a first deployment with clear ownership and a measurable outcome.
What happens in the first conversation?
We discuss how your business runs, what matters to your team and whether Varolio is a fit. If there is a fit, we outline the scope and access needed for operational discovery. You do not need to connect systems for this conversation.
How much work does our team need to do?
Varolio starts from the systems, messages and records your teams already use. Your team helps scope access, validate the reconstructed operation and agree priorities, action boundaries and success measures. You do not need to map every workflow in advance.
Do we need to replace our existing systems?
Varolio builds the operational model around your existing tools. We agree the relevant sources, integrations and delivery surfaces for the deployment. Your core systems remain part of the workflow.
Who builds the solution, and who controls its actions?
Varolio builds and deploys the agents, apps and automations on your operational model. Your team agrees the action boundaries. Routine steps can run automatically where appropriate; sensitive decisions and exceptions can require an authorized person. Behavior is evaluated before deployment and as the operation changes.
How do we know whether the investment is paying off?
Agree a baseline and success measures before deployment. Compare equivalent work over an agreed period, validate the benefit and account for delivery and operating costs. Time freed is tracked separately from cash savings actually realized.
Security & data ownership
Your data stays yoursWe protect it like our own
Your operational data and the knowledge layer built from it belong to youSecurity and control stay at the foundation as your business becomes AI-nativeYour data and operational knowledge stay yoursSecurity and control stay at the foundation
- GDPRCompliant
- CCPACompliant
Protected in transitProtected at rest
Messages are encrypted as they move and while storedMessages are encrypted in transit and at rest
Access on your terms
Private workspaces, account permissions, SAML SSO and SCIM provisioningActivity logs keep actions visiblePrivate workspaces, permissions, SAML SSO, SCIM and activity logs
A deployment that fits your requirements
Cloud and on-premise options, with the flexibility to choose your LLM providerCloud or on-premiseYour choice of LLM provider
Your next improvement
Find the right place to start
You don’t need to know what to automate yetLet’s discuss your operation, where Varolio could fit, and what the first step would involveNo defined AI use case neededLet’s discuss your operation and the right first step