AI Lab/ Operating Model Lab
APPLIED AI SERIES / INTERACTIVE REFERENCE DESIGN

See how AI
changes the work
and the economics.

Run an illustrative customer onboarding workflow. Change the evidence, interrupt an action and inspect the decisions that turn automation into an accepted business outcome.

An Applied AI Series reference design by João Frederico Neto. Hosted by Alsvior Global.
ILLUSTRATIVE SIMULATION · SYNTHETIC DATANo live agents, customers or external actionsSCROLL TO EXPLORE ↓
01 / LIVE WORKSPACE

One case. Five responsibilities.
One accountable outcome.

Example Customer 014 · signed agreement to activated B2B service. Select a responsibility, interrupt the work, then inspect what changed.

CASE 014100% synthetic
Interrupt the flowChoose a failure mode before activation; resolve it as the service owner.
WORKFLOW / ACCEPTANCE CONTRACT V1CASE STATE OPEN
PARALLEL WORK / INDEPENDENT OF REGION FACTBilling configurationMatches the signed agreement; no payment is executed.queued
SIMULATION STATUSReady to inspect
00 / 07

Ready to inspect

SELECTED RESPONSIBILITY

Coordination

Current input
Dependencies + owner decisions
Permitted output
Accepted outcome / owned exception
Boundary
Cannot override failed checks
Current state
queued
Task owner
Coordination responsibility
AUTHORITY GATE

The owner remains in control.

A passed animation is not completion. Checks and named approval are required.

02 / THE OPERATING DESIGN

Architecture is the management decision.

Five responsibilities make the boundaries visible. They do not require five models. A conventional workflow or one agent may be better for parts of the job.

01 / EVIDENCE

A record with a history.

A claim carries source, version, scope, access and review status. A later contradiction blocks only work that actually depends on it.

02 / AUTHORITY

Permission lives outside the prompt.

Implementation proposes and performs only permitted synthetic steps. The service owner resolves material ambiguity and accepts completion.

03 / RECOVERY

Unknown is a real state.

A lost response is reconciled against the target. Repeating a request ID alone does not prove the action happened once.

03 / OPERATING ECONOMICS

Change the load.
See the constraint.

These are illustrative monthly capacity economics, not client results or a forecast. All attempted cases are assumed eventually to meet the same acceptance standard.

Assumptions EUR · monthly period

CAPACITY COMPARISON
650 hours

Illustrative human capacity released. This is neither cash saved nor profit.

Baseline capacity cost€40,000
Assisted human capacity cost€14,000
Technology incl. fixed operation€9,000
Assisted total€23,000
Economic capacity difference€17,000
Exception review demand 100 hAvailable review capacity 100 hWithin assumed review capacity

Assisted hours: 350 · Baseline hours: 1,000. Queue waiting time cannot be inferred from utilisation alone. The stress preset holds processing cost fixed to isolate labour effect; actual retries may increase it.

OPTIONAL / VALUE REALISATION

Where would released capacity go?

Assign hours deliberately. Only removed or avoided paid hours can count as assumed labour cash benefit. Growth contribution needs its own demand and delivery assumptions.

Unallocated capacity: 650 h

Assumed monthly incremental cash benefit: -€9,000

Simple payback on €60,000 implementation: No positive payback under these assumptions

Incremental contribution is a user supplied assumption; no revenue is inferred from hours. Excludes tax, financing and working capital. No enterprise value estimate.
04 / WHAT WOULD PROVE IT?

Mechanism is not a benchmark.

This deterministic simulator shows how decisions and exceptions can be managed. It does not measure a deployed AI system.

ApproachUseful questionResult
Conventional workflowCan fixed rules handle the variation?Not measured
Single agentCan one bounded agent manage the evidence and action?Not measured
Multi-agent designDo specialised responsibilities improve accepted outcomes enough to justify coordination?Not measured

A real comparison needs the same held-out cases, acceptance rules and cost boundary; repeated trials; independent assessment; model and tool versions; disclosed sample size; and failure distributions. Measure accepted completion, critical errors, elapsed time, human review, recovery and total cost per accepted outcome. Staff and customer experience matter too.

05 / TAKE IT INTO YOUR WORK

Start with a job
worth completing.

These ungated materials help define the boundary before selecting a model or workflow design.

A CONVERSATION, NOT A CLAIM

What would this change in your operation?

Bring a real workflow, its frequent exceptions and what an accepted outcome means. We can frame a bounded assessment.