aiversum
Aiversum · Autonomous automation01 / Work in the real world
Shift report · manufacturingaiv

Data becomes a decision.

Report ready for review

System data + documentationFindings for the shift manager
Scenario · sample data

AI that works.
In your business.

We connect knowledge, people and systems into workflows carried out by AI agents. From your first task to an external AI team.

Your data. Your systems. Your rules.

Your implementation partner

From the first workflow to your external AI team.

We work with you on a concrete task: understanding the process, preparing people, deploying agents and improving their work. Business and IT define the boundaries together.

01

Start with the work to be done.

Choose the process, data and acceptance criteria. Define where an agent acts independently and where a person decides.

02

Connect what you already have.

Company knowledge, email, databases and applications. Access designed for the task, including on-premises infrastructure.

03

Keep improving after launch.

Develop further use cases, assess the quality of work and help your team put new capabilities into practice.

AI Bootcamp

From your process to a working prototype in 2–3 days.

Your team and Aiversum working together on one real task. The first step to your own AI department.

  1. 1 /Understand how to apply AI to the process you own
  2. 2 /Build a first working use case on your own data
  3. 3 /Prepare people and IT to run it in daily work

Systems and infrastructure

Your systems. New possibilities.

From a long-standing local application to a modern data warehouse. We design connections that let agents work with your company’s knowledge and tools.

Results: 18

SQL Server

Database adapter · scoped read access

PostgreSQL

Database adapter · SQL queries

SQLite

Local databases and application data

Snowflake

Warehouse data in an agent workflow

Databricks

Data platform and lakehouse environment

Microsoft Fabric

Warehouses, lakehouse and analytics data

BigQuery

Analytics data in Google Cloud

Oracle Database

Business databases and domain applications

Amazon Redshift

Data warehouse in the AWS environment

MongoDB

Document databases for applications

Microsoft 365

Mail and documents · access via Graph

Dynamics 365

CRM / ERP records and business processes

Salesforce

Customer data and sales workflows

SAP

ERP workflows and operational data

IBM i / AS/400

On-premises systems and legacy applications

Comarch ERP

Business documents and workflows

Files & network shares

Knowledge sources in your environment

API / MCP / CLI

Named tools with defined permissions

We connect the systems at deployment. Access is agreed with your IT team.

Discuss an integration
Your systems
aiv
Work output
Human decision

API / MCP / CLI / SQL / files · named tools · agreed permissions

Use cases

AI, closer to everyday work.

Explore a documented deployment and scenarios we can design together for your organisation.

aivIllustrative view
Incoming correspondence
CRM and document context
Draft for approval

Case study · customer service

From a message to a prepared response.

In a customer service deployment, the agent reads correspondence, gathers facts from the CRM and company files, and drafts a response. An employee reviews the content and decides whether to send it.

The agent prepares the case. People remain in control of customer communication.

Live at a clientDeployment described as of 19 Sep 2026
Explore the workflow
aivIllustrative view
Isolated environment
Local LLM + aivDocuments · permissions · review

Scenario · sensitive sectors

A local model. Knowledge kept inside.

An example architecture for confidential documents: aiv, a local LLM and company knowledge sources within an isolated organisational environment.

A pilot: document analysis and summaries for a specialist to review.

Illustrative use case, not a client deployment
Discuss a local deployment
aivIllustrative view
Database + documents
Shift report

Manager review

Scenario · manufacturing

A shift report from scattered data.

An example workflow combines a local database, operator reports and documentation. The agent prepares a summary and flags matters that need attention.

The manager receives material for a decision, with references to its sources.

Illustrative use case, not a client deployment
Discuss your workflow

A workflow in action

From scattered knowledge to work ready for review.

Follow a single customer case. Choose a step to see where an agent uses data, what it prepares and when a person takes the decision.

Explore how we work
aiv / Case workflowSample data
Message read and case identified.
Customer message#4821

Request for a case status update

Hello, please share the current status of my request and the next steps.

Checked sources
CRM / case #4821Service procedure.pdf
Response draftaiv

Hello, we have checked your request. Below is a summary of the findings and the next step described in the case documentation.

Ready for employee review

The draft has not been sent. A person decides on customer communication.

The Aiversum framework

Technology works when people know how to use it.

We connect skills development with implementation. Security is considered throughout; the expected outcome is defined at the start.

  1. 01

    Education

    Understand AI’s possibilities and practise with tasks from your work.

  2. 02

    Behaviour change

    The team incorporates new skills into its everyday routines.

  3. 03

    Autonomous automation

    Agents carry out agreed tasks within business processes.

  4. 04

    Security

    Access, boundaries and accountability are defined.

  5. 05

    Outcome

    Assess the result against the agreed acceptance criteria.

Start with skills.

Masterclasses, workshops and career courses. Practical AI skills to put to work.

Explore training

Control built into the process

Your business sets the rules.

Explore our security approach

Environment and data

Define where the agent and model run and what data they can process. Your requirements shape the architecture.

Scope of action

Grant the access a task requires. Define which actions need a person’s decision.

A record of the work

Design logging of actions and sources so a case can be reviewed and its result explained.

Start with one process

What should work differently in your business?

Show us the task, the systems and the constraints. Together, we’ll define a sensible first step.

Let’s discuss your process