SQL Server
Database adapter · scoped read access
Data becomes a decision.
Report ready for review
We connect knowledge, people and systems into workflows carried out by AI agents. From your first task to an external AI team.
Your implementation partner
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.
Choose the process, data and acceptance criteria. Define where an agent acts independently and where a person decides.
Company knowledge, email, databases and applications. Access designed for the task, including on-premises infrastructure.
Develop further use cases, assess the quality of work and help your team put new capabilities into practice.
Systems and infrastructure
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
Database adapter · scoped read access
Database adapter · SQL queries
Local databases and application data
Warehouse data in an agent workflow
Data platform and lakehouse environment
Warehouses, lakehouse and analytics data
Analytics data in Google Cloud
Business databases and domain applications
Data warehouse in the AWS environment
Document databases for applications
Mail and documents · access via Graph
CRM / ERP records and business processes
Customer data and sales workflows
ERP workflows and operational data
On-premises systems and legacy applications
Business documents and workflows
Knowledge sources in your environment
Named tools with defined permissions
We connect the systems at deployment. Access is agreed with your IT team.
Discuss an integrationAPI / MCP / CLI / SQL / files · named tools · agreed permissions
Use cases
Explore a documented deployment and scenarios we can design together for your organisation.
Case study · customer service
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.
Scenario · sensitive sectors
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.
Manager review
Scenario · manufacturing
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.
A workflow in action
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 workHello, we have checked your request. Below is a summary of the findings and the next step described in the case documentation.
The draft has not been sent. A person decides on customer communication.
The Aiversum framework
We connect skills development with implementation. Security is considered throughout; the expected outcome is defined at the start.
Understand AI’s possibilities and practise with tasks from your work.
The team incorporates new skills into its everyday routines.
Agents carry out agreed tasks within business processes.
Access, boundaries and accountability are defined.
Assess the result against the agreed acceptance criteria.
Masterclasses, workshops and career courses. Practical AI skills to put to work.
Define where the agent and model run and what data they can process. Your requirements shape the architecture.
Grant the access a task requires. Define which actions need a person’s decision.
Design logging of actions and sources so a case can be reviewed and its result explained.
Start with one process
Show us the task, the systems and the constraints. Together, we’ll define a sensible first step.
Let’s discuss your process