Industries
Apply specialised operational intelligence and controlled agent action to processes with financial, regulatory, quality or operational consequences.
Start with the operating context
The procedure determines the worker and its controls.
Financial consequence
Transaction consequence
Quality consequence
Operational consequence
Industry fit
The same AI model behaves differently when the evidence, procedure, authority and cost of error change. Intelliger starts with one named workflow and the people accountable for its outcome.
Generic AI
A broad tool looking for a use case
Governed operational AI
A defined process with a measurable boundary
Where Intelliger fits
The platform adapts to the evidence, authority and cost of error surrounding each operational process.
Agent request
Request
Account transfer
Payment
FulfilmentException linked
Payment review
Next action
Order release
Deviation review
Maintenance evidence review
A disciplined starting point
The first deployment should have a named owner, representative cases, explicit controls and an operating measure that matters.
Choose a recurring workflow with a visible cost.
Define evidence, decisions, systems and authority.
Include incomplete, ambiguous and denied paths.
Compare with the current operating baseline.
Add actions and systems after the first journey works.
One model, different boundaries
A refund, a quality disposition and a maintenance decision do not share the same evidence or approval contract. The platform adapts its controls to the institution and process.
Explore the platformOrganisation-specific procedures
Qualified approval roles
Industry evidence requirements
Value and action limits
Deployment and residency needs
Versioned evaluation and release
Two product paths
Bring the operating problem
We will identify the right product path and map one measurable journey around your systems, cases and accountable owners.
