Senior Account Executive - Multiple Teams

IFS, a provider of industrial AI software, has launched the Industrial AI Harness, the operational foundation of its IFS Intelligence platform. The company announced it on October 13, 2026, at its IFS Unleashed event in Orlando, Florida. The harness lets AI "digital workers" act within a customer's existing permissions, business rules, approvals, and audit controls. It sends no raw data to external AI providers, and users can only access information and actions they are authorised to use. IFS research found 43% of frontline teams have introduced agentic digital workers in the past 12 months, but only 11% have validated AI outputs for safety, quality, or mission-critical processes. The harness has six components, including guardrails, verification, and auditability. It works across AI models, so customers are not tied to a single provider.

IFS launches Industrial AI Harness at IFS Unleashed. Inflight, Regional Gateway and LARA Group Editor Satu Dahl is attending IFS Unleashed in Orlando, Florida, this week to report on the latest developments for industrial AI technologies. Global industrial AI software company IFS, which offers several solutions for airlines and aviation companies that tackle the unique challenges such as maintaining aircraft availability, ensuring safety and compliance and reducing maintenance costs, unveiled its Industrial AI Harness solution at the company's IFS Unleashed event in Orlando this week. Industrial AI Harness is designed to help enterprises put AI to work within the permissions, policies and operational realities that govern their business and builds on and extends the existing security, safety, governance and trust controls already embedded across IFS. IFS says that its solution addresses the challenge that AI can generate intelligence but may not be trusted to operate inside real-world processes. Industrial AI Harness provides the context, permissions, governance and operational controls that allow Digital Workers to execute work within established business rules and operational boundaries. "From auditable processes and transparent governance to the ethical use of AI, IFS treats trust as a fundamental requirement, not an ambition," Toby Rees, Global Head of AI Trust, IFS, said. "As organisations 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. The Industrial AI Harness provides that foundation for IFS Intelligence, helping customers turn AI potential into measurable industrial outcomes." New research conducted by the company found that 43% of frontline teams have trained and introduced agentic digital workers into their day-to-day operations over the past 12 months but only 11% have validated AI outputs for safety, quality, or mission-critical processes, and 11% have established control mechanisms for AI use with sensitive or export-controlled data. Also, research by Futurum found that while 66% of enterprises plan to invest in digital workers within the next 12 months, just 5.7% trust AI to act fully autonomously. Control gaps are unacceptable in mission critical environments where failure is not an option. The IFS Industrial AI Harness is designed so AI operates through the customer's existing identity, permissions, business rules, approvals, and audit controls. It inherits permissions and access controls from connected systems, using IFS Cloud as the foundation source - no raw data is sent to external AI providers. IFS Intelligence users can only access information and execute actions they are authorised to access. The AI cannot and will not be able to see or do something the signed-in user is not authorised to see or do. IFS states its 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. * 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. In addition, the Industrial AI Harness is designed to work across AI models and services, giving IFS the flexibility to use the right technology for the task rather than locking customers into a single provider.

IFS launches IFS Intelligence, Industrial AI Harness, eyes industrial productivity. Published October 13, 2026 IFS, an industrial AI software company, launched IFS Intelligence, which brings context about assets, work orders, schedules, processes and history to the manufacturing and physical operations systems. The company, which made the announcement at its Unleashed 2026 conference in Orlando, said IFS Intelligence can work from live data across its IFS and third-party systems. IFS Intelligence will collate data across operations and act with governance and business rules set by the enterprise. IFS is looking to bring context across multiple disparate systems in industrial settings whether it be people in the field, plant floor, rig, manufacturing center or office and provide insights in one conversational interface. Mark Moffat, CEO of IFS, said: "We often see industrial organizations operating at around 60% of their potential. The missing 40% is already inside the business. It sits in the expertise of the control room, the knowledge of the night shift, and the data spread across every system." "Anyone can generate ChatGPT type answers. The really hard part is putting that into the hands of the people doing the work and acting on it safely inside a live operation," said Moffat, speaking during his keynote. IFS Intelligence aims to close that performance gap, said Moffett. IFS Intelligence is available on all supported versions of IFS Cloud. It is offered as a universal enterprise-wide license. To complement IFS Intelligence, the company also outlined its Industrial AI Harness that is designed to pull together context about inventory, production capacity, supply chain commitments, logistics and financial impacts and automatically surface risks. IFS Intelligence is powered by the Industrial AI Harness. Components in IFS' Industrial AI Harness include: * Planning and orchestration to coordinate agents and tools. * Skills and connectors to define and validate the systems agents can use. * Memory and context on information relevant to tasks. * Guardrails and permissions. * Verification and escalation to check work for compliance and correctness. * Observability and auditability logs. Here's how it all fits together. The Industrial AI Harness works across all AI models and services and keeps data within the system of record and works up to autonomy with governance at each step. Separately, IFS's Softeon unit launched Fulfillment Flow, which embeds intelligence throughout warehouse operations. Fulfillment Flow is a set of digital workers and AI agents designed for wave management, labor, automation and inventory and replenishment with humans in the loop. More industrial AI: Industrial AI: Big opportunity, volatility. Speaking at Unleashed 2026, Moffat said IFS Intelligence is a release that reflect "what we were doing with you over the past 12 months." He added that physical industries represent a big opportunity for AI. "You represent the industries that are both benefiting from and fueling an economic explosion. This is a generational opportunity to be part of the next industrial revolution, the biggest that they'll ever have been, all powered by technology and new intelligence," said Moffat. "They're talking about tech and Silicon Valley and everything that goes with it. But the vast majority of the beneficiaries of that economic explosion are the people in this room, the producing industries." That said, Moffat noted the environment is volatile. "There's a jeopardy to this as much as there's a massive opportunity. Everything has changed," he added. Industrial companies are facing high commodity costs, a brain drain of technicians and knowledge and energy constraints. Industrial AI will have to close some of those gaps. "The shortages are real. Industrial AI has to be about getting some of that potential, getting your technicians to be more productive, getting some of those aircraft back up in the air, giving your people in the front line superpowers, getting more out of them, giving them an enriched job experience," said Moffat. "The 500 largest companies in the world estimate $1.4 trillion of unplanned downtime. So everywhere you look, there's just opportunity. The average worker, based on the work that we've done, spends about a third of their time with an actual tool in their hand. The rest is spent waiting, searching, or filling in forms." Editor in Chief of Constellation Insights Constellation Research Larry Dignan is Editor in Chief of Constellation Insights at Constellation Research, where he leads editorial coverage focused on enterprise technology, digital transformation, and emerging trends shaping the future of business. 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