[ WING 03 ]

AImployee™ Workforce.

Stop Paying Monthly Software Fees Just to Grow Your Team.

We engineer and deploy custom, autonomous digital assistants running natively on private server nodes. They handle lead triage, qualify prospects, and book appointments 24/7/365 with zero human seat licenses.

[ BOOK A 15-MINUTE CALL ]

The Landlord vs. The Architect

You have two paths to deploy your autonomous workforce. Choose the convenience of our managed infrastructure, or the absolute equity of an independent, self-hosted build.

[ WING 3.01: MANAGED SUBSCRIPTION ]

AImployee as a Service

Designed for businesses wanting zero technical onboarding. JaLuMa acts as your Landlord. The AImployee lives on our secure, industrial Cloud Run nodes. We absorb all API, hosting, and compute costs within the flat retainer.

Zero API Key Management required.
Instant deployment on shared infrastructure.
CAP: 5,000,000 monthly tokens. Overages billed at raw GCP API cost + 20%.

$500 Setup + $500/Month

* Includes maintenance and hosting overhead.

[ WING 3.02: INDEPENDENT INTEGRATION ]

The Equity-Class Asset

BEST VALUE

We act as your Architect and General Contractor. We build the agentic pipeline natively onto your own cloud infrastructure. You own the code, the data, and the deployment forever with zero SaaS seat taxes.

Absolute data ownership and codebase control.
Custom proprietary pipeline wiring (Odoo, Slack, SMS).
EXEMPT: 100% exempt from token caps. You pay wholesale raw compute rates to Google.

$3,500 Setup Base

* Requires Protected Care Utility Retainer ($250/mo).

Protected Care Utility

The $250/month maintenance bridge for Independent builds. An unmanaged Python micro-service will decay and crash within 6–12 months. This is the engineering upkeep that prevents it.

[ VECTOR 01 ]

API Schema Drift Defense

External communication layers routinely deprecate APIs. We monitor incoming webhooks for drift. If a payload schema changes, our engineers patch the logic and push a clean Docker image to prevent downtime.

[ VECTOR 02 ]

Vector DB "Memory Rot" Management

As your business changes prices, appending new text creates "semantic collisions." We flush old namespaces and re-index the pgvector database so the AI doesn't hallucinate conflicting facts.

[ VECTOR 03 ]

Cloud Logging Pruning

By default, cloud nodes log every event. To prevent massive billing shocks, we programmatically prune non-essential debug logs after 7 days, keeping your bill down to pennies.

[ VECTOR 04 ]

Rate-Limit Tuning & Model Hot-Swaps

We handle exponential backoff parameters natively. During quarterly updates, we safely hot-swap your underlying AI model to the newest, fastest, and cheapest stable version available.

Strategic Guardrails & Privacy

We operate under absolute "Mechanical Honesty." We build deterministic tools, not unpredictable chatbots. Here are the unyielding constraints applied to every AImployee™ deployment:

[ CONSTRAINT 01 ]

Zero-Harvest Pledge

We do not use your customer data or business intelligence to train base models, nor do we aggregate your proprietary workflows. Every byte of data remains strictly within your ecosystem.

[ CONSTRAINT 02 ]

No Live Voice AI

All AImployee agents operate strictly via text-based channels. Voice is currently out-of-scope to ensure 100% mechanical reliability and eliminate hallucination liability.

[ CONSTRAINT 03 ]

Temperature Zero Bounds

To eliminate creative hallucinations, backend parameters are locked to Temperature: 0.0. If a request falls outside the verified context, the agent is hard-coded to route the request to a human.