AI & Data

AI for System Analysts

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

Duration
6h
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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.

✓

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.

01

Brief & diagnosis

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

02

Program customization

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

03

Workshop

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

04

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

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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