Invoice Chaser
Watches receivables, sends escalating reminders, and flags aging risk before it becomes bad debt.
The digital workforce shop — EU-hosted
CloudCompanion is the shop for AI workers and fractional forward‑deployed engineers. Pick workers off the shelf — or bring in an engineer to build, tune, and manage a swarm that fits how your business actually runs.
First worker live within a week · no procurement saga
Invoice Chaser
Digital worker
1,284
Invoices chased
€312k
Recovered
99.98%
Uptime
Katrin Weber
Forward-deployed engineer
23
Workers managed
6 hrs/wk
Engagement
Berlin
Based in
SLA Sentinel
Digital worker
4,407
Tickets watched
38
Escalations
0
Breaches
01 — The offer
AI employees that do one job relentlessly. Each worker ships with a real database, forms, dashboards, and an audit trail — not a chatbot window. They chase, file, remind, reconcile, and report. Around the clock, without being asked twice.
Off the shelf · live in days · runs in your private environment
Human engineers who embed in your operations — fractionally. They scope what breaks, configure and build your workers, then stay on to monitor, improve, and manage the swarm as your business changes. No job req, no procurement saga.
From a few hours a week · embedded in your tools · EU-based
02 — The shelf
Every worker runs in your private, isolated environment — with its own database, forms, and dashboard. Configure it yourself or have an engineer tune it to your process.
Watches receivables, sends escalating reminders, and flags aging risk before it becomes bad debt.
Collects documents, validates compliance data, and walks every new supplier through your process.
Monitors complaints and tickets against your SLAs and escalates at-risk cases before deadlines slip.
Follows deliveries across carriers, chases exceptions, and keeps customers ahead of bad news.
Routes expenses through your approval chain, checks policy on every claim, and never sits on a request.
Pulls numbers from your systems and ships the Monday report nobody ever had time to build.
Don't see the worker you need? An engineer will build it. Custom workers ship in days, not quarters.
Request a custom worker03 — The engineers
Forward-deployed engineers are not consultants who leave a slide deck. They embed in your operation, build alongside your team, and own the outcome — for as long as the outcome needs owning.
Meet your engineerA fractional engineer turns “here's what breaks” into working digital workers — schema, workflows, forms, dashboards — inside your private environment. First worker live within the first week.
Engineers watch your workers in production: evaluating output, fixing drift, tightening edge cases, and tuning performance week over week. You see every change in the audit trail.
As workers multiply across departments, your engineer manages the swarm — retiring what's stale, coordinating what overlaps, and shipping what's next as your operation grows.
Fractional, not full-time — embedded in your operation · scoped to outcomes
04 — The process
In plain language — no specs, no tickets. “Suppliers take six weeks to onboard” is a perfectly good brief.
A 30-minute call becomes a worker roster: which jobs go to digital workers, what gets built custom, and when it ships.
In your own private, isolated EU environment — real database, access controls, dashboards. Days, not quarters.
Your engineer monitors, improves, and expands the swarm as your business changes. You stay in control of every worker.
05 — The platform
A swarm you can't see is a liability. CloudCompanion is built so you can trust what your workers do — and prove it.
Every client gets a private environment. Your data, your workers, your models — never co-mingled with anyone else's.
German data centers, EU jurisdiction, GDPR-compliant from the first byte. Compliance is the default, not an add-on.
Workers run on a real relational database with access controls, forms, and dashboards. On higher tiers, the code is exportable — it's yours.
Every action a worker takes is logged and auditable. Role-based access decides who sees what — humans and workers alike.
06 — The outcomes
You don't buy software here. You hire a worker, point it at a broken process, and measure what changes.
Hours, returned
Chasing, filing, reconciling, and reporting leave your team's plate — and don't come back. People go back to the work that needs judgment.
Nothing slips
SLAs, approvals, renewals, and escalations are watched around the clock and raised before they breach — not discovered after.
One coherent picture
Information scattered across a dozen SaaS tools becomes a single queryable system of record your whole team can trust.
Audit-ready, always
Every worker action is logged as it happens. GDPR evidence, approval chains, and audit trails write themselves while the work gets done.
Add a human
Fractional forward-deployed engineer
Bring in an engineer scoped to the outcome you need. They build, operate, and scale your swarm until the problem stays solved.
07 — Questions
A software employee that does one operational job relentlessly — chasing invoices, onboarding suppliers, watching SLAs. Each worker runs on a real relational database with forms, dashboards, access controls, and a full audit trail. It's actual software working in your environment, not a chatbot or a Zapier flow.
They're fractional human engineers who embed in your operation. In a Build engagement they scope your problem and ship custom workers; in Operate they monitor workers in production, fix drift, and improve output; in Scale they manage entire swarms across departments. You get senior engineering ownership for a few hours a week instead of a full-time salary.
No. Shelf workers can be configured and put to work on your own. An engineer makes sense when you need a custom worker, when workflows span several systems, or when your swarm grows past what you want to manage yourself.
In German EU data centers, inside a private environment provisioned just for your organization. Data is never co-mingled across customers, and the platform is GDPR-compliant by design — EU jurisdiction end to end.
Shelf workers go live in days — often the same day for simple configurations. Custom workers built by an engineer typically ship within the first week of an engagement. Nothing here takes a quarter.
Every action is logged, so underperformance is visible — not a mystery. You can retune a worker yourself, have an engineer improve it as part of an Operate engagement, or retire and replace it at any time. Workers are hired and fired a lot more easily than people.
Book an intro call and bring one broken process. We'll put a worker against a real workflow in your own environment, you measure what changes, and you expand from there. No procurement saga, no migration project — your first worker is live within a week.