AI for System Analysts

Learn how to use local AI models to automate the analysis of documentation and the management of system requirements.

Duration

8h · 1 day

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Who it's for

Ideal for teams that…

1 System analysts

2 Specialists in business processes and requirements

3 Product Owners collaborating with dev and QA teams

4 People responsible for automating documentation and requirements management

Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Create a local “system analyst copilot” for working with documentation

✓

Automate the generation of user stories, acceptance criteria, and diagrams

✓

Build an agent analyzing requirement consistency, detecting risks, and generating reports ready for Confluence

Requirements

What you should know before we start

Basic knowledge of requirements analysis and system documentation
Basic knowledge of tools such as Jira / Confluence
Basic understanding of development processes and Agile
Ability to run a local AI model (Ollama / LM Studio)

Program · 5 modules

What we actually do

M01

Scope of topics:

· Local AI for documentation analysis (without sending data externally)
· Generating user stories, diagrams, and acceptance criteria
· Automatically creating a base for issues in Jira
· Monitoring requirement consistency and identifying risks
· Automatic change reports

M02

Theoretical knowledge:

· How a local LLM (Ollama / LM Studio) works and why it does not need to use the cloud
· Brief introduction to RAG (local knowledge base from documents → better answers)
· When to trust AI and when human validation is required (quality control of requirements)
· Basics of orchestration of steps in n8n and agents

M03

Practical tasks:

· Input system documentation
· Building a basic RAG system with n8n
· Working with the knowledge base
· User stories, roles/actors, acceptance criteria, diagram sketches (Mermaid / PlantUML)
· Splitting into dev tasks, priorities, DoR, acceptance
· Checks new requirements for conflicts/gaps
· Creates risk and change reports in a format ready for Confluence

M04

Tools (used during the workshop):

· Ollama / LM Studio (local language models)
· n8n (automation: ticket generation, reports)
· Jira / Confluence (as target output formats)
· Mermaid / PlantUML (text-based diagram generation)

M05

Outcomes:

· A working local “system analyst copilot” that understands company documentation
· Ready n8n pipeline template for semi-automatic creation of Jira tickets with DoR and acceptance criteria
· Diagram generator and question lists for the Product Owner
· Requirement compliance and risk detection agent that can be integrated into existing analysis processes

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

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