AboutA practice built on pattern recognition.
Neurocroft exists because most organisations do not need more software. They need to see themselves clearly first.
Origin
Same patterns, different industries.
After years of leading and advising organisations across complex, quality-critical environments, the same patterns kept surfacing, regardless of industry. Work becoming harder than it should. Data everywhere and answers nowhere. Decisions absorbing more energy than they returned.
Neurocroft is the practice built to name and dissolve those patterns, before layering on any tool, dashboard or model.
Method
Six steps, one direction.
We notice, understand and simplify before we connect, amplify or evolve. Skipping steps is how expensive tooling ends up ignored.
- Notice
- Understand
- Simplify
- Connect
- Amplify
- Evolve
Principles
How we work.
Understanding before tools
BI, software, automation and AI are chosen deliberately, where they create value, after the system is clear. That's what makes them actually work.
Senior-led, with specialist capacity when needed
I lead every engagement directly. When a solution needs capabilities beyond my own, I can involve trusted developers, testers, project managers, quality and regulatory consultants, or established software firms from my professional network. Any extended team is shaped around the work and agreed with the client in advance.
Told, not sold
We will tell you what not to do. Half the value in the first month is stopping quiet costs.
Continuity over volume
We would rather partner with fewer organisations for longer than churn through more.
Founder
Tekla Reitzi
Founder & Principal, Neurocroft
Business analysis · Organisational intelligence · Internal process optimisation · Applied AI
“Most people look at a business and see departments, tools and tasks. I see a system.”
I have spent more than 20 years working between business needs and technology, across telecommunications, quality-critical and regulated software, organisational improvement and AI product development. My work has included business and process analysis, requirements, quality leadership, organisational change, KPI and reporting design, internal process optimisation, automation and applied AI.
I progressed from Business Analyst to Head of QA, built and developed a function from 8 to 35 people, advised clients on processes and tooling, and founded an internal AI R&D initiative. Today, I work with senior leaders, product teams and operational functions to clarify business problems, optimise internal processes, and turn them into understandable systems, practical decisions and implementable solutions.
What connects this work is pattern recognition. I notice where information changes meaning, where a workaround has become a dependency, where people are carrying knowledge that should belong to the system, and where a small inconsistency points to a larger organisational problem.
20+ years
Bridging business needs and technology
8 → 35
Function built, developed and coached
10+ clients
Advised on processes and tooling
Business analysis → leadership → AI
Cross-domain delivery perspective
Purpose and working philosophy
Understand the system before choosing the tools.
I created Neurocroft because invisible complexity does more than waste money. It consumes people’s attention, creates uncertainty and makes capable teams work harder than they should.
I do not begin by asking what software an organisation needs. I begin by understanding why the work feels difficult, how people are compensating for the current system and what success means to the people responsible for it.
My approach is people-first and evidence-led. Technology should support human judgement, not force people to redesign their judgement around a tool. I consider an engagement successful when the client can see the system more clearly, make better decisions and continue improving it without permanent dependence on me.
Core expertise
Where the practice is anchored.
- Business and requirements analysis
- Workflow and decision design
- Internal process optimisation
- Organisational change and improvement
- KPI, reporting and BI design
- Applied AI and automation
- Product and requirements discovery
- Agile delivery support
- Quality, governance and regulated systems
- Team development and capability building
Methods and frameworks regularly used
How the work gets done.
Selected methods used across business analysis, process improvement, delivery, quality and organisational change. The approach is chosen according to the problem rather than applied as a fixed methodology.
Analysis and improvement
- Root-cause analysis
- FMEA
- Gap analysis
- Change-impact analysis
- Risk-based prioritisation
- SWOT analysis
Process and experience modelling
- As-is / to-be process mapping
- BPMN 2.0
- UML
- Entity–relationship modelling, ERD
- Customer journey mapping
- Requirements traceability
Delivery and governance
- Scrum
- Kanban
- RACI
- Work Breakdown Structure: WBS
- PERT
- Stakeholder interviews and facilitated workshops
Quality and capability improvement
- Risk-based testing
- KPI and measurement design
- TMMi and TPI
- Process-maturity assessment
- Competency frameworks
- 9-grid talent and capability mapping
Regulatory and standards familiarity
Context from previous quality-critical work.
Familiarity developed through previous work in complex, quality-critical software environments.
- EU AI Act
- GDPR
- EU Medical Device Regulation: MDR
- ISO 13485
- IEC 62304
- FDA quality-system requirements: 21 CFR Part 820
- FDA 510(k) submissions
Selected tools and platforms
The working toolkit.
Selected tools used across analysis, reporting, automation, knowledge governance and AI-assisted delivery. Depth of use varies by project and purpose.
AI and agentic delivery
- Claude Code
- Claude Cowork
- Claude Design
- ChatGPT
- Codex
- Gemini
- DeepSeek
- Atlassian Rovo
- Mistral
- Llama
- Perplexity
- Hugging Face
- LangChain
- LangSmith
Development and rapid prototyping
- Visual Studio Code
- GitHub
- Lovable
- Replit
- Figma
Data and knowledge systems
- PostgreSQL
- Microsoft SQL Server
- Pinecone
- Supabase
- Neo4j
Business intelligence and reporting
- Excel
- Google Sheets
- Power BI
- Data Studio
- Xporter for Jira
Automation and low-code
- n8n
- Make
- Power Apps
- Power Automate
- Jira Automation
Work management, knowledge and quality
- Jira
- Confluence
- Xray for Jira
Credentials and continued learning
A background under continuous revision.
Selected credentials
Business Systems Administration
NYME University
ISTQB Certified Tester Foundation Level
ISTQB Test Management
Jira Administrator
TMMi training
AI and technical learning
STRT general AI programme
AI for Everyone
Claude Code for Developers
Machine Learning
Anthropic Claude Certified Architect
Intensive test-automation programme
Project Management
Pro bono practice
Some work matters more than its consulting budget.
Access to specialist process and reporting support is not always proportional to the importance of an organisation’s mission. Neurocroft therefore reserves a small amount of capacity to help charities simplify one recurring operational burden at no cost.
Free support for charities →Work with Neurocroft.
Start with a short conversation. We will tell you honestly whether we can help.
Get in touch