Platform AI Platform AI

Enterprise platform

Agents, processes
and data in
one perimeter

Platform AI brings AI into the business without scattered chats and hand-built integrations: agents work with tasks, documents, processes, roles and the corporate knowledge base.

Interlocking glass rings — the platform as one connected system
Scenario: incoming customer request
  1. 01

    Request arrives

    The agent identifies the type of enquiry and the data it needs.

  2. 02

    Context checked

    It uses the knowledge base, the history, documents and internal rules.

  3. 03

    Process started

    Tasks created, roles assigned, SLA control switched on.

The system the work already runs in

AI for business stops being a window you copy things out of. It runs as a layer over the systems you already have — agents read your data, move your processes and leave a trace where your team works.

  • Agents act on tasks, not on copied text.
  • Context belongs to the company, not to a person.
  • Every action lands in a task, a status and a log.
  • The pilot is already the process you keep running.

Use cases

Where AI for business pays off first

AI is not there for the experiment. It is there to speed up specific operations: take out manual routing, cut the time spent hunting for information, and make the team’s work visible.

Assistants

AI assistants for employees

They answer questions, help draft a task, prepare a document, find the right regulation and keep context from being lost between departments.

Agents

AI agents for processes

They run on events and on a schedule: check incoming requests, start BPMN routes, escalate overdue items and record the history.

Knowledge

Corporate knowledge base with RAG

It brings documents, tasks, requirements and decisions together, so AI answers from company data rather than from whatever context it found outside.

Documents

Document flow automation

It helps classify documents, check they are complete, draft replies and hand tasks to the people responsible.

Analytics

Analytics and delivery control

It collects statuses, deadlines, owners and bottlenecks, so a manager sees what the processes actually look like.

First release

A fast first release

Start from a cloud workspace, assemble the first scenario and check what AI is worth on real business tasks.

Why it works here

AI runs inside
your processes

Agents are wired to roles, processes, forms and tasks — so the work never leaves the system it belongs to, and nobody copies data between windows.

  • Data and access stay inside the corporate perimeter
  • AI sees only the context its roles allow
  • Every agent action lands in a task and a log
  • Processes change without a heavy rollout
  • 2 min to launch a cloud workspace
  • 24/7 agents working on events
  • 1 perimeter for data, roles and processes

Rolling out AI for business, step by step

Four steps from a single process to a measured effect.

Start with one process
01

Pick one process.

Incoming requests, document approvals, a knowledge base, SLA control or drafting replies to customers — one process you can measure.

02

Deploy a workspace.

Get your own cloud instance of Platform AI and try the scenario in a safe sandbox before anything touches production.

03

Connect data and roles.

Set up access, forms, workspaces, regulations and the knowledge sources your AI agents are allowed to read.

04

Launch it and measure.

Watch statuses, deadlines, requests, agent actions and how the process converts — then scale what worked.

Common questions about AI for business

An employee working with the platform

It is artificial intelligence applied to a company’s working processes: assistants, agents, routine automation, data analysis, task control and support for employees.

A chatbot answers a question. An agent can act on an event, take a task, use data, change a status, start a route and hand the result to whoever is responsible.

Yes — when it runs inside a corporate platform with roles, action logs, limits on the data it can reach and clear rules for how processes execute.

With one measurable process: requests, documents, a knowledge base, approvals or support. Once the effect is clear, the scenario can be scaled.

Pricing

Start your 7-day free trial today

Bring one process and see the agents run it.

Free $99/mo. for 7 days

No credit card required

  • AI assistants and agents for your team
  • Corporate knowledge base with RAG
  • Processes, roles, forms and SLA timers
  • Action log for everything an agent does
  • Integrations with the systems you run
  • Isolated workspace in the cloud
Get started for free
Unlimited team membersno per-seat fees
On-prem readymove it to your servers
Your models or ourscloud or local LLMs
Nothing to cancelno credit card up front