The McGill Intelligence portfolio

Explore our products.

Five products addressing practical business needs. Open Learn More to see what each product is about and discuss its suitability for your workflow.

OpsWatch

Independent verification of AI and automated workflow outcomes.

Learn more about OpsWatch

OpsWatch assesses whether permitted downstream evidence establishes the business outcome a workflow claims to have produced. A completion message or acceptance receipt is assessed alongside evidence of the actual business state.

Who it is for

For teams that need to distinguish a reported completion from an outcome supported by evidence.

Discuss your requirements

Scope, evidence rules and assessment criteria are agreed for the workflow. Uncertainty remains visible when the evidence cannot establish the outcome.

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McGill Forge

Develop and evaluate practical AI solutions and workflows.

Learn more about McGill Forge

McGill Forge supports the development and evaluation of AI solutions around a defined task. It provides a foundation for exploring workflows and checking behaviour before considering wider use.

Who it is for

For teams exploring how an AI solution could support a specific business process.

Discuss your requirements

Requirements, implementation scope and validation needs are discussed for each use case.

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Consequential Dependency Control (CDC)

Manage dependencies between consequential actions.

Learn more about Consequential Dependency Control (CDC)

Consequential Dependency Control addresses workflows where one action depends on the result of another. It focuses on making prerequisite conditions and unresolved outcomes visible before later actions rely on them.

Who it is for

For connected workflows where an unconfirmed earlier result could affect subsequent decisions or actions.

Discuss your requirements

Discuss the dependencies in your workflow and the evidence needed to establish each prerequisite.

Enquire about Consequential Dependency Control (CDC) →

McGill Consequence Control Plane (MCCP)

Coordinate authority and controls for consequential AI actions.

Learn more about McGill Consequence Control Plane (MCCP)

McGill Consequence Control Plane focuses on the authority and runtime controls surrounding consequential actions: what is permitted, under which conditions, and when a decision needs to be checked again.

Who it is for

For teams defining boundaries around what an AI system or automated workflow may do.

Discuss your requirements

Discuss execution authority, approval boundaries and escalation requirements for your use case.

Enquire about McGill Consequence Control Plane (MCCP) →

Instant Hire

Support hiring documents and onboarding workflows.

Learn more about Instant Hire

Instant Hire is being developed to help organise hiring and onboarding steps, including employment documents and signing workflows.

Who it is for

For employers seeking a more organised process for preparing and completing hiring paperwork.

Discuss your requirements

Enquire about current availability and supported workflows. Employers remain responsible for reviewing documents and employment decisions.

Enquire about Instant Hire →