The Pitch Guide · Industrial IoT · AI-Ready
Become an Intelligence Company One Step at a Time
Every equipment maker is being asked the same question now: can you tell your customers more about their machines than a competitor can? It starts with a pilot, not a platform decision. Connect one product line, prove the data is worth acting on, and use that as the foundation the rest of the intelligence company gets built on. If you haven't run one yet, or your first attempt stalled out, you're not behind. You just haven't seen what a real pilot, on a real platform, can prove.
Becoming an intelligence company doesn't require becoming a software company.
The machines you build already generate the data that would let you predict failures, prove uptime, and sell service instead of just steel. What's usually missing isn't the opportunity. It's a starting point that doesn't require hiring a data science team, or a two-year engineering roadmap, before you know if it's worth it.
A lot of equipment companies land here one of two ways: nothing connected yet, just the sense that everyone else is figuring this out, or an early attempt (an in-house gateway, a homegrown dashboard, a point solution) that proved the idea had legs but never scaled. Both are a normal starting point, not a setback.
That's what this guide is: a path. Not a pitch for a platform, but a way to get from “we should probably do something with IoT and AI” to a working pilot on real equipment, and from there to a product your customers pay for.
Connect
Wireless sensors, PLCs, legacy SCADA, gateways, cellular modules. Whatever's already on the machine, or easy to add to it.
Understand
Real-time condition monitoring and anomaly detection automatically turn raw signals into “this machine needs attention.”
Act
Insight functions and AI turn a detected condition into a work order, a parts request, or a heads-up to your customer before they call you.
None of what follows is a strict sequence. Making the internal case, running the pilot, lining up the rest of the company, and finding where the value lands usually happen together, each one feeding the others, not waiting in line.
Pitch
Pitching IoT and AI inside your own company
The hardest part of an IoT initiative is rarely the technology: it's convincing the people who sign off on budget that this isn't a science project. Here's the case that actually lands, and the questions you'll get asked.
Lead with uptime economics, not features
Your customers don't buy sensors; they buy fewer unplanned failures and faster fixes. “We can now warn a customer three weeks before a bearing fails” is a sentence a CFO understands; “we added condition monitoring” is not.
Name the competitive clock
Competitors who connect their fleets first build a service relationship and a data history that specs and price alone can't undo later. Waiting doesn't preserve optionality; it hands the moat to whoever moves first.
Make the ask small
You're not asking for a platform investment. You're asking for one product line, one pilot fleet, and a few weeks to find out if the data says what you think it says.
Objections you'll hear
“We don't have a data science team.”
You don't need one for a pilot. A pilot is about proving the data is worth acting on: condition rules and threshold alerts cover that. Machine learning and custom models are a later conversation, once you know which failure modes are worth building one for.
“We already tried a DIY build on AWS/Azure and it stalled.”
That's the common outcome: assembling IoT services yourself makes your company a software company for as long as the product ships, whether or not that was the plan. A configurable application gets you to a working pilot in weeks instead of a multi-quarter integration project.
“We built something in-house and it just didn't scale.”
You're in good company. Hastings Air Energy Control built their own gateway-and-software combination first. It proved the idea, but every install was manual and every update pulled engineers off real product work. They didn't start over; they moved what worked onto a platform built to scale it. That's a more common path here than starting from zero.
Read the Hastings case study →“What if this becomes shelfware?”
Scope the pilot narrowly enough that it either proves value on real equipment within weeks, or you've spent very little finding out it doesn't.
“Who owns the customer relationship, us or the platform vendor?”
You do. Everything ships under your brand, to your customers, priced how you decide.
See the white-label case →Pilot
Running a pilot without betting the roadmap on it
A good pilot answers one question: does this data tell us something we can act on, as fast and cheaply as possible? It is not a scaled-down version of the eventual product; it's the smallest thing that proves the bet. Here's the shape of it:
Step 1
Pick a narrow scope
One product line, one failure mode you already suspect, or one customer site willing to be first. Not the whole fleet.
Step 2
Connect what's already there
Existing sensors, PLCs, or gateways, connected through Murano's device APIs without ripping out hardware you've already deployed.
Step 3
Configure, don't build
ExoSense is a no-code condition monitoring application: dashboards, rules, and alerts get configured, not engineered from scratch. Most pilots are live in weeks.
Step 4
Watch for the moment it pays off
The pilot succeeds the first time it flags something a technician wouldn't have caught otherwise, or gives your team a reporting story your sales team can use.
Step 5
Decide with real data
At the end, you have an actual answer, grounded in what the pilot showed and not a guess, about whether to expand to more equipment, more sites, or the next failure mode.
Exosite has been named in Gartner's Magic Quadrant for Global Industrial IoT Platforms six times since 2019, pilots run on the same platform, not a stripped-down trial version.
Want the step-by-step version?
This is the shape of a pilot. The full pilot guide walks through exactly what gets connected, how ExoSense gets configured, and how you'll know it worked.
Buy-in
Line up the whole company, not just the budget
The person who approves the budget isn't the only one who needs to be sold. A pilot creates work and open questions for people who had no say in starting it. Bring them in while the pilot is running, not after it's already decided things for them.
Management
Signs off on the budget and the scope. What keeps a pilot from stalling later isn't just an initial yes, it's naming who owns the decision to expand once the pilot proves out, before that decision has no one behind it.
Product
Sees pilot data as an input, not a threat. Loop them in early so field data (what actually wears, fails, or gets used) feeds the next equipment generation and warranty terms, instead of surprising a roadmap that's already locked.
Support
Receives the first alerts and has to know what to do with them. A real fault piped into an unfamiliar dashboard with no process behind it reads as noise. Design the alert handling with them before the pilot goes live, not after.
Services, Parts & Aftermarket
Turns a detected condition into a parts order or a scheduled visit. This team should have a say in what a condition triggers before the pilot ends, since a pilot that never touches a real work order hasn't actually proven the workflow.
Sales
Needs a story a customer will believe, and a reason to repeat it. Give them the pilot's first real save, the bearing caught three weeks early, as soon as it happens, not the finished business case, so they're already using it before you're ready to scale.
Find the visionaries.
Buy-in isn't only an org chart exercise, either. Somewhere in every group above there's usually already someone who sees where this is going: an engineer who's floated the idea before, a service tech tired of guessing at the cause, a salesperson who's lost a deal to a competitor with better data. Title and department don't predict who that is. Find that person early, hand them the pilot's first real result to carry back to their own team, and let them keep reminding people why the company started connecting equipment in the first place, long after the initial push has faded into daily work.
None of this waits for the pilot to finish, or for the pitch to be settled. The technical work of connecting equipment and configuring alerts, and the work of moving each group above from unaware to invested, move together. An early pilot result gives sales and support something concrete to react to; their buy-in is what keeps the pilot moving instead of stalling on the next approval.
Value
Finding the business value before you scale
A pilot doesn't just prove the technology works: it should tell you where the value actually is. It's tempting to narrow that down to one question: will a customer pay for this as a new line item? That's one real path, but treating it as the only one that counts is how a lot of good pilots get shelved. The value tends to show up in at least five places, often more than one at once.
New revenue, sold as a service
The most visible path: a subscription, a tiered support plan, a performance-based service agreement, something the customer explicitly pays for that didn't exist before.
More parts and service revenue from customers you already have
Knowing a part is wearing out before it fails turns into a proactive parts order or a scheduled service visit instead of a reactive one. That's incremental parts and labor revenue from the install base you already sell to, not a new customer you have to go find.
A stickier version of what you already sell
The visibility and data become part of a service or contract you already have, without needing to be a new line item. It's the difference between a customer who could switch vendors and one who'd have to give up a working relationship to do it.
Lower cost to maintain what's already out there
Fewer emergency truck rolls, higher first-time-fix rates, and a service team that knows what to bring before they show up. That's real margin recovered internally, even if the customer never sees a new invoice line.
Better understanding of how your product is actually used
Field data tells your engineering team what actually wears, fails, or gets used in ways the spec sheet never anticipated, informing the next product generation, warranty terms, and even how you talk to prospects.
Most equipment makers find it's a combination. Hastings built a revenue-generating subscription around their connected offering, and cut their own onboarding time by 75%, while giving customers a stickier reason to stay. Don't scope your pilot's "was it worth it" question down to just one of these five: look across all of them before deciding it didn't pay off.
Once you know where the value is, deploying it is the more straightforward part: the same platform that ran your pilot scales to your full fleet, white-labeled under your brand, hosted how you operate. See the platform's scale and hosting options →
Further reading
Commercialization Series - Blog 2: Monetization, Pricing, & BillingPreparing to Commercialize a Connected Product (5-part series)How to Accelerate CommercializationThey already tried building it themselves
“The solution has been so easy to use. There has been really positive feedback from customers. One customer started out saying ‘I don't want to pay for anything. What can you give me for free’ and by the end of the call, they wanted a quote for a 10 year minimum and lifetime.”
Jody M.
Director of Project Management/Controls, Hastings
75%
Faster commissioning a new customer, vs. their earlier in-house connected solution
30%
Revenue growth over 18 months tied to their connected product
70%+
Of customers now include the connected offering with their equipment purchase
"Exosite invested in our IoT vision — their process made us feel like partners as we collaborated to develop our commercial offering. They rose to the challenge to meet an aggressive timeline and delivered tangible value to our customers, while achieving the right price to sustain our offering into the future."
Trey Taylor
Solutions Sales Manager, Fairbanks Morse
Your machines already know more than you're using.
Let's find the smallest first step: the pilot that proves it, on your equipment, in weeks.