PERSPECTIVES & RESEARCH
INSIGHT
Rethinking how technology quality is governed, assured and delivered through experience and informed analysis.
In Focus
Featured Perspective
AI and the Future of Technology Testing
AI’s Impact: Elevating the Role of Today’s Testers AI’s entry into the testing domain feels like it was always meant to be. The latent connection between AI and testing has always existed, rooted in the challenges testers face and the drive to harness technology to overcome them. Testing has always...
Latest Thinking
Articles from TAL
AI Governance: Making Human Intervention Work
Assigning decision rights establishes who may act. Knowledge and experience support informed judgement. But further still, an organisation must be capable of recognising when human intervention is needed and seeing...
The Anatomy of Responsible AI
When discussing how enterprises treat AI, we invoke language that describes different levels and perspectives of involvement, from the abstract to the detailed. Viewed as a top-down progression, these can be...
The AI Model Is Not the Solution
An AI model might satisfy its evaluation criteria and still form part of a solution that is not ready for operational use. This does not necessarily mean that the evaluation was inadequate. Rather, it highlights...
Ideals and Realities – PART 1
So, Just What is the “Quality Mindset”? A Cultural Ideal, Not a Delivery Model The quality mindset is consistently asserted by Agile proponents and described as a cultural commitment whereby quality is not an...
The Coverage/Quality Trade-Off – Part 2
What Constitutes Quality Outcomes? Quality outcomes are the real-world impacts of testing — not just what gets tested but what is assured, trusted, and improved as a result. These outcomes span four interdependent...
The Coverage/Quality Trade-Off – Part 1
Test Coverage in a Nutshell Test coverage is a metric used to quantify the proportion of a developed solution’s functional and non-functional surface that testing has exercised. It can be evaluated from several...
Publications
Research, Guidance & Reference
Downloadable, more specialised treatments of TAL’s thinking and capabilities.
Service specification · v1.3
Expertise Catalogue
TAL's service fulfilment specification for technology and AI quality, risk and assurance management — the expertise, practices and deliverables behind iT-TRAC® and AISTA® — set out for evaluation and procurement. Version 1.3 adds AI assurance and management systems.
Guest paper
Proving AI Compliance
Firms are giving AI agents real credentials and real access, but existing controls cannot show whether any given action was lawful. This paper sets out how deterministic, rule-based checking produces the evidence a regulator expects — at the moment each interaction happens, rather than after the fact.
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