Riccardo Corsanici · Take Two

AI and agents in the business ecosystem

We work alongside management and operational teams to introduce AI tools and agents, integrate them into the business ecosystem and transfer the skills to use them.

AI in the business ecosystem

Bring AI tools
into the workflow.

Documents, applications and resources: integration starts with what the business already uses.

Integration model connecting an AI agent to documents, applications and monitoring, with permissions and resource review — A possible integration model, to be adapted to the organisation.

We work alongside management and operational teams adopting AI. We address tools, agents and skills so the organisation can use them in its own context and manage their development.

We start with a specific task: finding information in documentation, preparing a report, gathering service data or supporting request management. We review tools, available data and integration needs, then run a pilot within a defined scope.

Agents can connect applications and information sources, run routines and prepare actions for review. Access, permissions, traceability and approvals should be designed alongside the workflow.

We support adoption with procedures and practical training, incorporating feedback from the teams that will use the tools. We provide instructions, evaluation criteria and the skills to maintain automations and make better use of the business information ecosystem.

Let’s discuss a use case

From the use case to adoption

Assess the use case

Identify a concrete task, the information it needs and the applications involved. Agree on the scope and how to assess the result.

Pilot tools and agents

Test the workflow in a limited pilot. Connect available tools and information sources, and review outputs before extending the scope.

Integrate into operations

Define access, traceability, review steps, procedures and resource training so the automation can be managed over time.

A future to build together

We believe in Open Source and shared knowledge. We see AI as an opportunity to develop with our clients: we evaluate solutions against their data, applications and working model, checking where they bring a practical benefit.

The project includes training for management and operational teams. We document decisions, test workflows together and transfer the skills needed to build on the experience and develop new uses.

Discuss the scope and the support you need.

Get in touch ↗