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ALSVIOR AI LAB / ENTERPRISE AI STUDIO

A service launches.
The whole business
learns.

People with judgement. AI with a purpose. Knowledge that travels. Explore an enterprise where the work connects.

Step inside the enterprise An original interactive demonstration. Fictional organisation. Sample data.
Connected workflows AI & human ownership Human approval gates Knowledge in use

YOUR ORGANISATION, IN MINIATURE

See the work.
Understand the system.

Explore a service launch and the teams around it. Every queue, decision and knowledge record belongs to the same working example.

A four-minute introduction
SAMPLE ORGANISATIONDesign 1 / simulated working time
+0m
8Active work items
1Human decisions
0Stage SLA breaches
0Approved findings
0Knowledge reuses
THREE WORKFLOWS. ONE OPERATING VIEW.

The connections make it work.

SAMPLE DATA
COMMERCIAL + DELIVERYService launch5 active work itemsCUSTOMER SUCCESSCustomer activation2 active · 0 knowledge usesORCHESTRATIONCoordinate the workDependencies · ownership · evidenceOPERATIONSService improvement1 active work itemREVIEWED BY PEOPLEShared knowledge0 approved · 1 awaiting review
Drag to explore. Nodes spring back.
100%
Human gates never approve themselves.Paused · 1× playback · sample data
THE WORK, AS IT HAPPENSLatest 5 events

  1. Sample organisation ready. Eight work items, three connected workflows.

Inspect the simulation assumptions

Eight fictional work items. No new arrivals. Each step advances 15 working minutes; nights and weekends are not modelled. Stages have fixed processing times and first-in, first-out capacity. Human-led work is simulated; human approval gates require your explicit decision.

Parallel preparation branches must both finish before readiness approval. Only approved findings may be reused. No model calls, external integrations, real messages or customer records are involved. This public simulation is an independently designed example, not a production product.

Changing workflow design resets the sample work. Your edits stay in this page’s memory and disappear on reload.

NOW IMAGINE YOUR BUSINESS

Which workflow
would you improve first?

Start with one valuable process. Together, we can define the outcome, the responsibilities, the knowledge and the evidence that makes it work.

Map this to my business A practical conversation about your workflow, systems and measures of success.

MORE IDEAS TO PUT TO WORK

Keep exploring.

ECONOMICS

AI Development Pricing Lab

Test how implementation savings, expertise, assurance and tooling change delivery costs and pricing constraints.

Explore the lab OPERATING MODEL

When is an AI task done?

Inspect completion, authority and the cost of accepted work in the Operating Model Lab.

Explore the lab CONSULTING PRACTICE

Expertise into a system

Explore five connected practice stages, reusable knowledge and operating economics.

Explore the lab
Explore our thinking →

TOOLS TO TAKE INTO YOUR WORK

Start with a clear
definition of done.

Completion contractAcceptance, authority and exception ownershipKnowledge recordSources, permissions, status and review datesTask handoverInputs, permitted actions and completion testsStarter recipesA practical starting set of operating templates

AGENT CONTROL ROOM

Follow the conversation.
Inspect the knowledge.

Explore the customer-onboarding demonstration with sample records and conversations.

Open the agent control room

SERVICE ECONOMICS / ILLUSTRATIVE MODEL

Cost the service.
Include the exceptions.

Explore volume, failed attempts and review effort with the original service-economics model.

Hypothetical monthly model. Edit the assumptions; no figures are client results.

Revenue
£20,000
All processing attempts
£1,725
Human review
£700
Operating remainder
£13,575

Formula: accepted jobs × price − all attempts − human review − fixed costs. Excludes setup investment, tax, financing, other variable delivery cost, working capital and cash collection timing.