Enterprise Operational Memory
Institutional memory,
installed.
Alpix runs silently across enterprise endpoints, capturing the cross-application workflows your ERP, CRM, and SOPs never see. Encrypted at source. Stored on your infrastructure. Inaccessible to anyone — including us.
The Capture Problem
You don't have a knowledge problem.
You have a capture problem.
Every enterprise system records what happened. Almost none record how it happened — and that's where the majority of operational expertise lives. When your senior people leave, that expertise leaves with them.
Between opening a file and sending an email,
nothing is visible. Until now.
Independent studies estimate the majority of operational expertise lives outside formal documentation
Every senior departure is a permanent data loss event.
The decision logic, validation rituals, and cross-system shortcuts your most experienced people use daily — gone the day they leave. Nothing in your stack retains it.
Your top performers don't follow the documented process.
They work better. They take different paths, compare different sources, and trust different signals. You can't replicate what you can't see.
Most operations live outside what your systems can show.
ERP, CRM, ticketing — each captures a fragment. None capture the workflow between them, where the majority of operational expertise actually lives.
What Alpix Captures
What your systems see.
What Alpix sees.
A finance controller preparing a budget update. 49 minutes of work. Your ERP recorded one update and one email. Alpix recorded the entire decision sequence behind it.
What your ERP recorded
One budget update. One email sent.
What ALPIX recorded
The entire decision sequence that produced it.
This is not monitoring.
It is institutional memory.
Alpix captures how decisions get made — not what individuals are doing. The product surfaces patterns at the role and team level. Per-employee tracking is not a feature and not architecturally possible.
Budget file opened in Excel
Fixed cost sheet reviewed — 3 min 47 sec
Q4 forecast tab opened
Q3 actuals file opened for comparison
Both files open simultaneously — cross-reference behavior detected
Specific cell range modified following comparison
Validation email drafted in Outlook
Email sent
The Subscription Model
Two subscriptions.
One compounding asset.
Most enterprise software depreciates the moment you stop using it. Alpix appreciates the longer you run it. Year one builds the dataset. Year two and beyond convert it into operational decisions.
Install the agent. Build the asset.
A lightweight agent deploys across enterprise endpoints. From day one, it captures cross-application workflow patterns and encrypts them on your infrastructure.
You are not paying for a product. You are paying to build an asset that compounds in value every month it runs — and that no competitor will ever be able to replicate.
- Lightweight agent deployment
- Real-time cross-application capture
- AES-256 on-premise encryption
- Role-level and team-level segmentation
- Dataset growth dashboards
- IT admin console
- Privacy & works council documentation
When the dataset is ready, the analytics activate.
After 6–12 months of capture, the analytical layer unlocks. Workflow bottlenecks, deviation patterns, expertise transfer, automation candidates.
Most clients add this after the first year — when their dataset is rich enough to surface non-obvious patterns. By then, it is uniquely theirs.
- Workflow bottleneck detection
- Process deviation analysis
- Time allocation by role, team, software
- Automation readiness scoring
- Cross-role workflow comparison
- Operational expertise mapping
- Long-term operational trend analysis
Why this modelSubscription 1 makes economic sense from month one. Subscription 2 makes analytical sense only once the dataset has depth. We do not sell Subscription 2 to clients before they are ready. That is how Alpix keeps clients for years, not months.
The Engagement Arc
Alpix is designed to run for a decade.
The longer it runs, the harder it becomes to replace — and the less any competitor can offer you what you have already built.
Build the dataset
Capture begins. Encrypted asset accumulates on your infrastructure.
Activate the analytics
The dataset is rich enough to surface non-obvious patterns. Subscription 2 unlocks.
Compound the intelligence
Seasonal patterns, expertise transfer, automation candidates — irreplaceable by month 36.
Privacy by Architecture
Your data stays where
your data belongs.
Privacy is not a feature we added.
It is the architecture we designed around.
Data flow architecture
Endpoint
Behavioral signal captured
AES-256 at Source
Encrypted before first write
On-Premise Store
Your infrastructure
Analytics Engine
Deployed on-premise
This boundary exists because no code in our product is capable of crossing it.
On-Premise Deployment
The ALPIX agent installs entirely within your infrastructure. No cloud dependency. No SaaS data pipeline. Your servers. Your network. Your environment.
AES-256 Encryption at Source
Data is encrypted on the endpoint before it is written anywhere. The key is held by you. ALPIX does not generate, hold, or transmit encryption keys.
Zero Data Egress
No workflow data leaves your organization — not for processing, not for model training, not for any purpose. The ALPIX product contains no outbound data transmission capability.
No ALPIX Access — by Architecture
ALPIX engineers cannot access your data remotely. There is no support backdoor. No telemetry. No diagnostic transmission. This is a design constraint, not a policy constraint.
GDPR & Swiss LPD Aligned
Designed for European data sovereignty from the ground up. Works council templates, employee notification materials, and a signed DPA are included in the deployment package.
Full documentation
Request the security architecture review
Full technical documentation provided to IT and security teams during scoping.
The Boundary
What Alpix is not built to do.
These are not policy choices. They are design choices. The product surfaces organizational patterns at the role and team level. Per-employee performance reporting would require modifications the agent does not permit and the architecture does not support.
- Track individual productivity metrics
- Score employees against KPIs
- Surface individual behavior to managers
- Generate per-person performance reports
The Timing Argument
AI is being trained on what
companies write.
Not on what companies do.
Every AI system trained on enterprise data uses documents, emails, tickets, and ERP records. These are the artifacts of work. They are not work itself.
The next layer of operational AI — workflow simulation, process automation, knowledge transfer, onboarding acceleration — requires behavioral workflow data. Data that captures how decisions are made, how expertise is applied, how processes unfold in practice.
That dataset does not exist in most companies. It cannot be purchased. It cannot be generated retroactively. It can only be captured over time — starting now.
Every month you delay is a month of operational knowledge your company cannot recover.
How ALPIX Compares
Different tools solve different problems.
Most do not solve this one.
| Capability | Process Mining Celonis, Signavio | RPA / Task Mining UiPath | Monitoring Tools ActivTrak, Teramind | Consulting Manual mapping | ALPIX This product |
|---|---|---|---|---|---|
| Captures cross-software workflows | |||||
| Works where ERP logs stop | |||||
| On-premise, zero data egress | |||||
| Dataset compounds over time | |||||
| Non-surveillance positioning | |||||
| Automated continuous capture | |||||
| European data sovereignty |
Process mining reads structured system logs — powerful inside one system, blind between systems. RPA observes tasks to automate them, not to understand them. Monitoring tools are productivity surveillance — different category, different purpose. Consulting captures how people describe their work, not how they perform it.
Who ALPIX Serves
Operational complexity looks
different in every industry.
The invisible layer is universal.
The Defensibility Argument
Time is the moat.
And it only runs one direction.
Workflow data is temporal. Company-specific. Role-specific. Software-specific. It cannot be purchased. It cannot be synthesized. It cannot be reconstructed retroactively.
A company that begins capturing today and a company that begins in two years do not have the same dataset. They never will.
Dataset intelligence depth over time
Pattern significance, anomaly detection confidence, and seasonal intelligence accumulate non-linearly
The dataset you build in year one is worth ten times what it costs.
The dataset you build in year five is not for sale at any price.
Dataset value grows non-linearly
Workflow patterns become statistically significant after 60–90 days. Anomaly detection improves with each additional month. Seasonal patterns require 12+ months.
Lost data is permanently lost
If a key team member leaves before their workflows are captured, that operational knowledge leaves with them. Capture begins protecting institutional memory from day one.
Your dataset is yours alone
No benchmark, no industry average, no synthetic dataset can substitute for your company's specific operational patterns. The data is proprietary by nature.
The Engagement Arc
Alpix engagements run 3–5 years by design.
Not because we lock you in. Because the asset is worth nothing in the first six months, useful by month twelve, and irreplaceable by month thirty-six.
The longer you stay, the more your dataset is yours alone.
That is the product.
Your capture window
t+0
Every day delayed is operational knowledge that cannot be recovered.
Start the Engagement
Every senior member of your operations team carries 5–10 years of workflow knowledge that exists in no system.
The day they leave, you lose it.
The day Alpix starts running, you stop.