Alli4u is the enterprise AI workspace that puts a secure AI coding assistant on every desktop in your organization. Each person gets the models they’re enabled for, usage tracked at the individual level, a shared library of automation skills, and ready-made connections to Alli, Google, Slack, and Meta, so AI becomes part of how work gets done.
A few specialists build something useful, and it stays with them. Everyone else signs up for their own tools, and nobody can say what AI costs or what data it touches.
If only specialists have AI, only specialists benefit. The people closest to the daily work never get the tools.
Scattered subscriptions and no per-user tracking make it hard to defend the budget to scale.
API keys in chats and unclear data boundaries give security teams every reason to say no.
An AI workspace for every user, a marketplace of skills built across PMG, and secure access to the systems your business runs on.
Alli4u puts an AI workspace on every desktop. Admins enable models user by user, from several AI providers, and token usage is tracked for each person.
For your teamLeaders see who uses AI, what it costs, and where it pays off.
Browse skills built across PMG, install the ones you need, and publish what works for the team to run. Each published skill becomes a shared tool.
For your teamNobody starts from zero, and the best automation becomes everyone’s.
Describe what to build in the coding assistant, and it helps write, explain, and harden the code. Turn the result into a skill without switching tools.
For your teamEngineers ship faster, and practitioners can build what they used to request.
See how a skill becomes an Alli AppModels are enabled for every team beyond your specialists, and people start with pre-built skills tied to their daily work.
Token usage is tracked person by person and team by team, so leaders can justify expanding access and see where AI is producing value.
Credentials live in a managed vault, configurations stay separated by customer, and every shared skill is reviewed first.
Every automation someone publishes becomes a skill the next person can install, so the organization’s AI capability grows with each problem solved.
Who uses it
Install proven skills.
Automate recurring work with skills built across PMG, starting on day one.
Build against the data you use.
Automations connect to Alli, Google, and Slack data in one workspace, with the right client context.
Move prototypes to production.
An AI coding assistant that keeps the context helps harden a prototype into an automation the team can run.
Control access and spend.
Lock down keys and secrets, enable models user by user, keep customer data separated, and see what AI costs.
Skills are reviewed before they’re shared, credentials stay locked down, and every automation runs against the right client and the same Alli data.
API keys, tokens, and secrets sync from a secure vault, so credentials aren’t pasted into chats or stored on laptops. Switch customer, business unit, or product line with one command.
For your teamSecurity teams get the controls they need to say yes.
Search the marketplace for a skill, check what it needs, and see every skill installed on your desktop in one place. Ready-to-use skills connect to Alli data, dashboards, and partner platforms.
For your teamThe same automation stops getting rebuilt by different people.
Explore Semantic LayerAdmins enable people, people connect their platforms, and what they build becomes a skill the team can install.
Admins turn on AI models user by user and set up usage tracking.
Users log in to Alli, Google, Slack, and other systems from inside the workspace.
Switch to the customer, business unit, or product line you’re working on.
Describe the task, and the AI coding assistant helps prototype and harden it.
Share the automation, so anyone can install and run it in one click.
Specialist pilots keep the value with a small team, and individual tools scatter cost and data across subscriptions. Alli4u gives every enabled user the same governed workspace.
| Specialist pilots | Individual AI tools | Alli4u | |
|---|---|---|---|
| Who uses AI | A small expert team | Whoever signs up | Every enabled user, across the organization |
| Model access | Fixed by the pilot | One vendor per tool | Multiple models, enabled user by user |
| Cost visibility | Pilot budget | Scattered subscriptions | Token usage tracked per person |
| Sharing work | Stays with the team | Stays with the person | Skills published and installed in one click |
| Platform connections | Built per project | Limited | Ready-to-use logins for Alli, Google, Slack, Meta, and more |
| Security | Project by project | Varies, often unmanaged | API keys, tokens, and secrets locked down and synced |
Alli4u gives every person a choice of models, connects to the platforms your business runs on, and keeps each customer’s work separate.
Security: the Alli platform holds a current SOC 2 Type II report and is aligned with the NIST Cybersecurity Framework (CSF). Request the report See security details
Pick from models across several AI providers, based on what each user is enabled for, so teams match the model to the task while the organization controls cost.
Ready-to-use connections to Alli, Google, Slack, Meta, and more, from pulling semantic models to listing dashboards.
Switch between customer, business unit, or product line configurations with one command, with strict separation between them.
The ideas behind Alli4U
What Alli4u includes, how it stays secure, and how teams use it.
Alli4u is the enterprise AI workspace in the Alli operating system. It puts a secure AI coding assistant on every desktop, with models enabled user by user, token usage tracked per person, a shared library of automation skills, and ready-made connections to Alli, Google, Slack, Meta, and other platforms.
Alli4u lets users choose from models across several leading AI providers, based on what each person is enabled for. Admins control which models each user can access, so teams can match the model to the task while the organization keeps control of cost and can add providers as needs change.
Alli4u locks down API keys, tokens, and secrets and syncs them automatically, so credentials aren’t shared in chats or stored on laptops. Configurations are separated by customer, business unit, or product line, so automations run against the right data and stay isolated from other work.
Skills are packaged automations that anyone on the team can install in one click. Alli4u includes pre-built skills to start, and users can publish their own when they build something useful. Each published skill is reviewed and becomes a shared tool, so the organization’s AI capability grows every time someone solves a problem.
No, though developers get the most out of building. Alli4u includes an AI coding assistant that writes and explains code from plain-language requests, and anyone can install and run pre-built skills. Technical users can go further, building and publishing new automations for the rest of the team.
Enterprise chat and coding tools usually tie you to one AI provider and focus on individual productivity. Alli4u offers multiple models in one workspace, tracks usage per person, turns automations into shared skills, and connects directly to Alli and your business platforms, so AI work builds on itself across the organization.
Alli4u is where people build with AI. The Alli MCP Server gives that AI governed access to Alli data and services. Generative Workflows runs automations on schedules and triggers. Together, they take an idea from a prompt in the workspace to a governed automation that runs on its own.
Start by enabling one or two teams beyond your AI specialists and giving them a handful of pre-built skills tied to their daily work. Turn on usage tracking from the beginning. As people build and publish their own skills, expand access team by team, using the usage data to guide where to go next.
Book an intro and we’ll show you how Alli4u rolls out to a team, what they can build in the first week, and how you’ll track it.