Operational AI

AI workers for processes that do not follow the happy path.

An Intelliger worker is built for one enterprise process. It gathers evidence, handles known exceptions and stops when a person must decide.

Assess an operational process See how workers operate

Operations specialists defining the evidence and approval boundary for an AI worker

A worker with a defined job

Procedure, evidence, systems and authority stay connected.

Cases prepared

Exceptions investigated

Decisions routed

Evidence retained

Beyond the copilot

A useful worker needs a job, not an open-ended prompt.

Copilots help individuals produce an answer. Operational workers are configured around a named process, approved systems, evidence requirements and the point where authority changes hands.

Copilot

Helps a person complete a task

Operational worker

Advances a governed process

How a worker moves the case

Move the work forward before an expert has to step in.

Each worker gathers evidence, applies the procedure and prepares the case until accountable judgment is required.

Evidence intake

Case evidence

Connected

Case documents

Approved records

System events

Source connected

Process signals

Live context

Evidence intake

Collect the approved records, documents and system events that define the case.

Context graph

Operating context

Connect the timeline, entities, requirements, previous cases and unresolved gaps.

Procedure check

Approved version

Ownership confirmed

Amount reconciled

Known pattern tested

Procedure checks

Run known checks and test recognised patterns against the available evidence.

Exception map

Review required

Identity

Amount

Timing

Evidence

Known Exception

Exception detection

Surface missing, conflicting or unusual information before it becomes a decision.

Prepared finding

Ready

Finding

Standard path supported

Evidence

Sources and checks linked

Next step

Request accountable approval

Accountable role

Operations lead

Review case

Decision preparation

Prepare a supported next step and route it to the accountable role.

Outcome record

Operational measures

Configured for each process

Cases completed

Cases escalated

Evidence complete

Outcome record

Retain the evidence, decision, action and result for later review.

Human authority

The worker can do more without becoming the final authority.

Responsibility is configured by process, action, case type and risk. Teams can begin read-only, validate on past cases and add controlled actions only after the boundary performs credibly.

Explore human control

Named approval roles

Evidence-linked outputs

Risk-based escalation

Versioned procedures

Representative evaluations

Recorded workflow events

Core solutions

Find the work the worker should own and where it must stop.

Bring one process, its difficult cases and its accountable owner. We will map the evidence, systems, control boundary and measures for a credible first deployment.

Assess an operational process Review the launch method

AI workers for processes that do not follow the happy path.

A useful worker needs a job, not an open-ended prompt.

Move the work forward before an expert has to step in.

The worker can do more without becoming the final authority.

Start with the operational problem, not the model.

Audit and inspection

Investigation and CAPA

Compliance evidence

Records and conformity

Find the work the worker should own and where it must stop.