New operational foundation helps industrial organizations move from AI experimentation to trusted execution
IFS, the leading provider of Industrial AI software, announced the introduction of the Industrial AI Harness, the operational foundation of IFS Intelligence, designed to help enterprises put AI to work within the permissions, policies and operational realities that govern their business.
The Industrial AI Harness builds on and extends the existing security, safety, governance and trust controls already embedded across IFS.
As AI moves from answering questions to performing work, industries face a new challenge: AI can generate intelligence but may not be trusted to operate inside real-world processes. IFS Intelligence addresses that challenge through the Industrial AI Harness, which provides the context, permissions, governance and operational controls that allow Digital Workers to execute work within established business rules and operational boundaries.
“The IFS Industrial AI Harness supports the governance underneath, monitors the orchestration and gets the digital workers to act safely,” commented Mo Dawood, CIO, Eight Group.
IFS’s Industrial AI Harness brings together six components, each built to prevent a specific failure:
Planning and orchestration break goals into steps and coordinate agents and tools.
Skills and connectors define and validate the systems agents can use.
Skills and connectors define and validate the systems agents can use.
Memory and context carry progress forward and assemble only the information relevant to each task.
Guardrails and permissions enforce identity, approvals, and limits on risky actions.
Verification and escalation check work for correctness and policy compliance, escalating when needed.
Observability and auditability logs every decision and action for review, so nothing happens that cannot be traced back after the fact.
With the introduction of the Industrial AI Harness, IFS Intelligence is the only AI platform for industrial companies that delivers:
Sovereignty–all data stays within the system of record; no raw data sent to external AI providers
Staged Autonomy–workers start with copilot assistance, progress to recommendations, then to autonomous action, with escalation on uncertainty
Industrial Context–domain expertise + curated tooling that prevents agents from being paralyzed by 70,000 available APIs
Multi-Layer Governance–security at the cloud level, the harness level, and the model level; not a single control, but aggregated assurance
“From auditable processes and transparent governance to the ethical use of AI, IFS treats trust as a fundamental requirement, not an ambition. As organizations scale AI across critical assets, supply chains, service operations and enterprise workflows, success will depend on the ability to combine intelligence with context, control, accountability and operational discipline,” explained Toby Rees, Global Head of AI Trust, IFS.
