PERSPECTIVES & RESEARCH
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Rethinking how technology quality is governed, assured and delivered through experience and informed analysis.
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Latest Thinking
Articles from TAL
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...
Quality Assurance vs. Testing – Part 4
To fully understand Testing as part of Quality Control (QC), we must move beyond seeing it as merely a tool for bug detection. Instead, Testing should be viewed as a critical component of QC that involves...
Predictability Lost
The Importance of Backlog Management in Agile Agile methodologies promise flexibility and speed. The ‘Backlog’ enables these benefits, serving as a living, prioritised list of tasks, features, defect fixes, and...
Testing to Temper
The Technology Hype Cycle: A Familiar Journey The Gartner Hype Cycle offers a framework for understanding how new technologies are introduced, adopted, and eventually mainstreamed. This model outlines...
Quality Assurance vs. Testing – Part 3
Quality, at its essence, is not solely the product of well-designed tests or sophisticated tools but is deeply influenced by the motivation, collaboration, and collective mindset of those involved in the...
Quality Assurance vs. Testing – Part 2
Building upon our foundational understanding, this second instalment shines a spotlight on Quality Assurance and its indispensable role in solutions development. Quality Assurance serves as the backbone of a...
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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