AIcanautomatealmostanything.Weonlybuildwhatpaysforitself.
Plarix maps how a process runs today, in cost and hours, then builds an Economically-Engineered Agentic System around it. Before and after, we measure two numbers: money saved and hours returned.
Money saved. Time returned.
MostAIinitiativesdon'tfailbecausethemodelisbad.Theyfailbecausenobodydidthemathfirst.
A team sees what AI can do and starts building. Nobody has asked what it costs to run, what it replaces, or whether the savings are real. Three questions arrive later that should have come first.
Nobody scoped the process
Teams pick a process because it's visible, not because it's expensive. The processes actually draining budget and headcount are rarely the ones that get automated first.
Nobody priced it before building
A pilot ships, then someone asks what it cost to build and run. By then the number is fixed, and there's no baseline to compare it against.
Nobody can prove the return
Leadership asks what the AI initiative saved. There's an answer for adoption and usage. There's rarely an answer in euros or hours.
TheROIgapisreal
Of enterprise generative AI pilots show no measurable financial return. MIT, State of AI in Business, 2025.
Of AI proofs of concept never reach production. IDC, 2025.
Of agentic AI projects predicted to be cancelled by 2027 over unclear value. Gartner.
The only numbers every Plarix build is measured against: money and hours.
A chatbot cannot tell you what it saved. A pilot cannot tell you if it's worth keeping. You need a baseline, a build, and a number.
AI,engineeredfortheeconomicsofyourbusiness
Plarix is a process-first AI build. We measure how a task runs today, in money and hours, before writing a line of the system. Then we build, deploy, and report the delta.
HowPlarixbuildsanEEAS
Turning a process into a measurable AI system takes more than a model. It takes a baseline, an economic model, a build, and a report.
Process diagnostic
We sit with the team doing the work and measure it: steps, time per step, cost per step, error rate, volume. This becomes the baseline every result gets measured against.
- Time and cost per task, measured directly
- Volume and frequency mapped
- Error and rework rate captured
- A written baseline before any build starts
Economic modeling
Before we write any code, we model what automating the process would cost to build and run, and compare it to the baseline. If the number doesn't work, we say so and stop.
- Build and run cost estimated up front
- Compared against the measured baseline
- Break-even point calculated before build
- No build recommended when the math doesn't hold
EEAS build
We build the agentic system around the specific process we measured, using the tools and data your company already has. No rebuild of your stack, no new platform to adopt.
- Built around your existing systems
- Scoped to one process, not a general assistant
- Deployed alongside your team, not instead of oversight
- Handles the volume and edge cases we measured
Free process scan
A short, no-cost session where we estimate the savings on one process before you commit to anything. You get a number. You decide if it's worth building.
- One process, reviewed in under a week
- Estimated savings in euros and hours
- No obligation to continue
- Always free
Threesteps,starttofinish
No lengthy transformation program. No new platform for your team to learn. Plarix runs the process, builds around it, and reports the result.
Audit
One process, one baseline- We pick one expensive or repetitive process with you
- We measure current cost and hours directly
- You get a written baseline and an estimate
- No commitment required at this stage
Build
The EEAS, scoped to that process- We design and build the agentic system
- It's scoped to the process we measured, not a general tool
- It runs alongside your existing systems
- We deploy it with your team, not instead of them
Measure
Money and time, reported- Every result compared against the original baseline
- Euros saved and hours returned, reported on a schedule
- You keep the system either way
- We move to the next process once this one is proven
Proof,notapitch
Building the system is half the job. Proving what it changed is the other half. Every engagement ends with a baseline report, a working system, and a savings record.
Baseline report
A clear picture of what the process cost before we touched it: hours, euros, volume, and where the time actually went.
- Time and cost per task
- Volume and frequency
- Where delays and rework happen
- The number every result gets measured against
A working system
The EEAS itself, integrated into how your team already works, not a demo and not a slide deck.
- Deployed into your existing tools
- Built for the exact process we measured
- Owned by your team once it's live
- No dependency on Plarix to keep running
The savings record
A running comparison of the baseline against actual results: what changed, in money and hours, updated on a set schedule.
- Money saved, tracked against baseline
- Hours returned, tracked against baseline
- Reported on a schedule you set
- Built to hold up in a budget review
Builtforteamscarryinganexpensiveprocess
If a process is costing real money in hours or headcount, and nobody can say what automating it would be worth, Plarix is built for that conversation.
Operations and shared-services leaders
You run a process that hasn't changed in years: invoice processing, claims handling, order management, back-office reconciliation. It's expensive, everyone knows it, and nobody has put a number on fixing it.
Finance and operations teams evaluating AI spend
You've approved a few AI pilots already. Some are running, most aren't clearly worth what they cost. You need a way to compare an idea against a real number before the next budget cycle.
Founders and operators who tried AI and got a demo, not a result
Your team built a chatbot or an internal tool. It's clever. Nobody can say what it saved. You want the next one to actually move a number.
Whatmakesthisdifferent
Economics first
We measure the baseline and model the cost before deciding whether to build anything. If a process doesn't clear the number, we say so instead of building it anyway.
Built around your process, not a generic bot
Every EEAS is scoped to one process we've measured directly, not a general assistant dropped into your company.
Measured, not promised
Every engagement ends with a savings record: money and hours, compared against a real baseline, on a schedule. Not an estimate made once and never checked.
No rebuild required
Plarix builds around the systems you already run. No new platform for your team to adopt, no migration project before the first result shows up.
Commonquestions
Get quick answers about how Plarix scopes, builds, and measures an AI system against a real business process.
Cannot find what you are looking for? Reach out directly.
Yourmostexpensiveprocessisrunningrightnow
Nobody is measuring what it costs or what fixing it would be worth. Plarix is taking on a small number of design partner companies for process audits. Apply below and we'll get back to you.