# For Executives and Investors > Industrial buyers want AI and digital gains they can see on the income statement. Fuuz delivers P&L upside across every plant on a subscription you can plan. Source: https://www.fuuz.com/for/executives For executives and investors Industrial companies are under pressure to show that digital and AI investments pay off on the income statement: more throughput, lower labor cost, fewer failures. Fuuz is the enterprise data layer that makes those gains possible at scale: connected across every plant, measured in one model, on a subscription you can plan. [Talk to our team](https://www.fuuz.com/contact) The market context ## Buyers Want Returns They Can See From PwC's [Industrial manufacturing: US Deals 2026 midyear outlook](https://www.pwc.com/us/en/industries/industrial-products/library/industrial-manufacturing-deals-outlook.html) (June 2026). $173B Record deal value Industrial manufacturing deal value over the past year, up 28%, according to PwC. 86% Strategic buyers The share of deal value from strategic acquirers, who must integrate what they buy. 69% Acquire and divest Nearly 69% of companies making $5 billion-plus acquisitions since 2021 also divested assets, per PwC. What buyers are asking for ## Prove It On The Income Statement PwC's outlook is direct: acquirers of AI-enabled operations increasingly want evidence of throughput improvements, labor cost offsets and predictive maintenance savings before they pay a premium. The same standard is coming to every digital budget, acquisition or not. Proving it takes two things most plants lack: operational data that is connected and trusted, and a way to change how work gets done without a multi-year project. Fuuz provides both on one platform. - Measure the baseline and the result in the same data - Change the work with apps and governed agents, not just dashboards - Roll out what works to every site Where Fuuz fits **Data** Machines, ERP and plant systems connected, persisted and modeled once. **Applications** MES, WMS, quality and maintenance run on Fuuz, or connect what you keep. **AI** Your corporate agents act through typed, governed flows, with people approving. **Scale** Package once and roll out plant by plant. AI on the P&L ## AI Pays Off At Scale Only On A Shared Data Layer PwC puts it plainly: AI gains have to show up on the income statement. Most manufacturers are not there yet, and the reason is rarely the model. It is the data. Each plant has its own systems, its own definitions and its own spreadsheets, so every AI pilot starts with a data cleanup project and ends at one site. Fuuz is the data layer across the enterprise. Machines, ERP and plant systems are connected and modeled once, in one knowledge graph that is also the backend your applications run on. A use case proven at one plant runs at the next on the same model, so AI value adds up across the business instead of staying a pilot. - One model of every plant, order, lot, asset and process - Context that stays current because the work happens in Fuuz - AI use cases packaged once and rolled out to every site Why AI pilots stall, and how Fuuz fixes it **Scattered data** Connected and modeled once, across every plant. **No shared context** One knowledge graph agents can follow, not guess. **Ungoverned tools** Role-based access, tool policies and audit on every agent call. **One-site wins** Packaged apps and flows that roll out to the next plant. From foundation to value ## The Data Layer Is The Foundation. The Apps Create The Value. A data layer on its own does not move a KPI. The value comes from operational apps, tightly coupled to that data, that your OT teams can deploy fast. Solving an inefficiency, clearing a bottleneck or planning a new production line happens faster, with fewer vendors, fewer licenses and fewer delays. 3 · Outcomes ### Results on the P&L Lower cost of poor qualityHigher OEEMore throughputNew lines up fasterFewer vendors and licenses 2 · Where the value is created ### Operational apps, deployed by your OT teams Tightly coupled to the data layer, built from accelerators and shaped to each plant without a long implementation project. MESWMSQMSCMMSSchedulingOEEWork instructionsYour own apps 1 · The foundation ### One data layer across every site Machines, ERP and plant systems connected and modeled once: a single source of operational truth, ready for AI. ### Front-line workers, real-time insight Operators and supervisors see what is happening now, at the step where it matters, so problems are caught before they become scrap, rework or a missed shipment. ### Lower cost of poor quality Quality checks, holds and SPC run inside the work, not after it, on the same data as production, so defects are contained at the source. ### Higher OEE, more throughput With one source of operational truth across every site, teams compare plants on the same KPIs, find the losses that matter and roll out the fix everywhere. IT and OT, together ## How Fuuz Lets IT And OT Deliver Real AI Value AI value at enterprise scale needs both teams: IT to secure and govern it, OT to put it to work where the product is made. Fuuz gives each team what it needs on the same platform. ### IT sets the guardrails One platform to secure, govern and monitor every app, connection, user and agent across the enterprise. - SOC 2 Type 2, OIDC identity and multi-factor sign-in - Role-based access and tool policies on every agent call - Your corporate agents, not a vendor's, connected through MCP - Versioned, tested and packaged releases with audit [For IT leaders →](https://www.fuuz.com/for/it) ### OT puts AI to work Plant teams connect equipment, build the apps they need and run deterministic flows at the edge, without waiting on a long IT project. - Connect machines through the Fuuz Gateway - Build apps from accelerators, low-code or code - Typed flows at the edge or in the cloud: same input, same answer - People in the loop where decisions matter [For operations and OT →](https://www.fuuz.com/for/operations) ### Together, it scales What one plant proves, every plant can run, on the same model and under the same governance. - One data model shared by IT and OT - Package once and roll out with room for local variation - Measure results in the same data at every site - AI value that adds up on the P&L [The industrial AI stack →](https://www.fuuz.com/platform/industrial-ai-stack) Where the upside comes from ## Six Levers On The P&L ### Throughput See where capacity is lost, in real time, and run the plant to a schedule people can follow. Machine data, downtime reasons and work orders live in one model. - OEE and machine monitoring - Production execution - Planning and scheduling [OEE and machine monitoring →](https://www.fuuz.com/solutions/oee-machine-monitoring) ### Labor productivity Give every operator the next step, the right instructions and fewer screens, and let governed agents and flows take on the repetitive work. - Labor tracking - Digital work instructions - Automation and agents [Labor tracking →](https://www.fuuz.com/solutions/labor-tracking) ### Maintenance cost Move from reacting to failures to acting on condition, with work orders raised from live equipment data and parts tied to the asset. - Maintenance management (CMMS) - Process monitoring - Alerts and notifications [Maintenance management →](https://www.fuuz.com/solutions/maintenance-management) ### Cost of quality Catch problems at the step where they start, hold the right lots, and keep the record that customers and auditors ask for. - Quality management - Downtime, alarms and SPC - Track and trace [Quality management →](https://www.fuuz.com/solutions/quality-management) ### Inventory and working capital Know what you have, where it is and what it is committed to, from receiving through shipping, in step with the ERP. - Inventory tracking - Lot tracking - Receiving, put-away and picking [Inventory tracking →](https://www.fuuz.com/solutions/inventory-tracking) ### Software and integration spend Retire overlapping point solutions and the custom integrations between them. One platform, one data model and one security model to run. - ERP integration - Shop-floor connectivity - Multi-site standardization [ERP integration →](https://www.fuuz.com/solutions/erp-integration) Built for portfolio change ## Acquisitions, Carve-Outs And Integration, On One Model Portfolios are changing fast, with acquisitions, divestitures and carve-outs often happening at once. Every change raises the same question at the plant: which systems does this site run on, and how quickly can it run the way the rest of the business does? Fuuz connects to what a site already has, so an acquired or carved-out plant can run on a common data model and packaged applications while its existing ERP stays connected. Standardize plant by plant, on your schedule, instead of waiting for one big migration. - Connect to the systems a site already runs - Common data model and packaged apps across sites - Site-level access, governed at the enterprise A typical path **Day one** Connect the site's machines and ERP. See its operation in the same model as every other plant. **First wins** Deploy the applications with the clearest payback, from accelerators. **Standardize** Roll out the packaged operating model, with room for local variation. **Simplify** Retire overlapping systems when the business is ready. Costs you can predict ## One Platform, A Cost You Can Plan Point solutions add a license, an integration and a support contract for every problem. Fuuz is priced as one platform. A stack of point solutions - A separate license for MES, WMS, quality, maintenance and more - Per-user, per-site and per-module fees that grow with headcount - Custom integrations to build and maintain between every product - Separate hosting, security reviews and upgrade cycles Fuuz - Editions sized by production app runtimes - No per-user fees, data transfer charges or revenue-based metrics - Compute and data storage included - Build, QA and production environments in every deployment - Know what the next app runtime costs before you add it Prove it plant by plant ## From First Plant To Every Plant Step 1 ### Baseline Connect one plant and capture where time, labor and material go today, in the Fuuz model. Step 2 ### Deploy Start from accelerators for the problem with the clearest payback, and shape them to how the plant runs. Step 3 ### Measure Compare before and after in the same data: OEE, downtime, labor hours, scrap and inventory accuracy. Step 4 ### Scale Package what worked and roll it out to the next site, at a cost you knew in advance. Questions ## For Executives And Investors How do we measure the impact of Fuuz?Start from a baseline in the same platform. Because machine data, work orders, labor, quality and inventory live in one model, the measures you use to prove value, such as OEE, downtime, labor hours, scrap and inventory accuracy, come from the same data before and after. How is Fuuz priced?Editions are sized by the number of production app runtimes and production connections you run. Compute and data storage are included, and there are no per-user fees, data transfer charges or revenue-based metrics. You know what the next app runtime costs before you add it. [Talk to our team](https://www.fuuz.com/contact). Can Fuuz help with an acquisition or carve-out?Yes. Fuuz connects to the systems a site already has, so an acquired or carved-out plant can run on a common data model and packaged applications while its ERP stays connected. Teams can standardize plant by plant instead of all at once. Do we have to replace our ERP?No. Fuuz connects two ways to ERP and other systems of record. Many manufacturers keep their ERP and run MES, WMS, quality and maintenance on Fuuz, or keep some of those systems and connect them. Why does AI need a data layer to show up on the P&L?Because AI is only as useful as the data and context it can reach. When every plant has its own systems and definitions, each AI project starts over. Fuuz connects and models data once across the enterprise, so a use case proven at one plant can run at every plant, and its results can be measured in the same data. How fast can we start?Most teams start with one plant and one problem, using accelerators for MES, WMS, quality and maintenance, then package what works and roll it out to the next site. Get started ## Build The Case For Your Plants Tell us where you need the P&L to move. We will show you how manufacturers are getting there on Fuuz, and what it costs. [Talk to our team](https://www.fuuz.com/contact) [Read customer stories](https://www.fuuz.com/customers/) Prefer to talk? Call [1-877-801-FUUZ (3889)](tel:18778013889)