Glossary
A clear guide to the terminology used across Agilexe, training, compliance, AI, and defence.
A
API (Application Programming Interface)
A defined interface that allows software systems to communicate with each other. Agilexe products expose APIs where relevant to support integration with client systems.
Artificial Intelligence (AI)
The capability of computer systems to perform tasks that typically require human intelligence, such as analysing information, recognising patterns, generating text, or making recommendations. Agilexe products use AI to accelerate and enhance training development workflows.
B
Blended Learning
An approach to training that combines face-to-face instruction with digital or self-directed learning elements. Blended learning design is supported within the Schema training design framework.
C
C-TTP (Collective Training Transformation Programme)
A UK MoD initiative aimed at modernising collective training across the armed forces. Silhouette was originally developed in the context of C-TTP requirements.
Cloud Hosting
The delivery of computing services — including storage, processing, and applications — over the internet from remote data centres. Agilexe uses Microsoft Azure as its primary cloud infrastructure.
Collective Training Needs Analysis (C-TNA)
A TNA conducted at the level of a team, unit, or organisation rather than an individual role. C-TNA identifies training requirements that arise from collective capability gaps. Silhouette supports C-TNA processes.
Competence Framework
A structured description of the knowledge, skills, and behaviours required for a given role or set of roles. Competence frameworks are often used as the foundation for TNA and training design in DSAT environments.
Constellation Analysis
In the context of Streamline, constellation analysis refers to the process of mapping relationships and dependencies between courses — identifying clusters, overlaps, and sequences to support informed course rationalisation decisions.
Course Design Document (CDD)
A formal document that captures the full design of a training course, including aim, objectives, delivery method, duration, assessment strategy, and resource requirements. CDDs are a standard output within the DSAT framework. Schema supports CDD development.
Cyber Essentials
A UK government-backed certification scheme that verifies an organisation’s defences against common cyber threats. Agilexe holds both Cyber Essentials and Cyber Essentials Plus certification.
Cyber Essentials Plus
The higher tier of the UK Cyber Essentials scheme, which includes independent technical verification of security controls. Required for many government and defence contracts.
D
Data Sovereignty
The principle that data is subject to the laws and governance of the country in which it is stored or processed. For government and defence clients, data sovereignty requirements may affect deployment options.
DCC Level 1 (Defence Cyber Certification Level 1)
A UK MoD cyber security certification that verifies an organisation’s compliance with the Cyber Essentials Plus standard and additional MoD-specific security controls. Required for suppliers handling certain categories of defence information. Agilexe holds DCC Level 1 certification, awarded May 2026.
DSAT (Defence Systems Approach to Training)
The UK Ministry of Defence’s structured methodology for the analysis, design, delivery, and evaluation of training. DSAT provides a systematic framework that ensures training is evidenced, compliant, and linked to operational capability requirements. Agilexe products are designed to support DSAT-compliant training development.
E
Embeddings
Mathematical representations of text (or other data) as vectors in a high-dimensional space. Similar concepts are positioned close together, enabling AI systems to find semantically relevant content even when exact keywords are not matched. Used internally in SIFT and the Agilexe search infrastructure.
Evaluation
The final stage of the DSAT cycle, in which the effectiveness of training is assessed against the original training need. Evaluation determines whether training has closed the identified skill or performance gap.
F
Formal Training Statement (FTS)
A document that details the training requirements for a specific role, function, or unit, including mandatory training, frequencies, and qualification requirements. Streamline ingests FTS data to support course rationalisation.
G
Generative AI
AI systems that can produce new content — text, images, code, or other outputs — based on patterns learned during training. Sphere uses generative AI to draft learning materials, lesson plans, and assessments.
L
Large Language Model (LLM)
A type of AI model trained on large volumes of text data, capable of generating, summarising, translating, and reasoning about language. LLMs underpin the natural language capabilities in Agilexe products such as Shadow, Schema, Sphere, and SIFT.
Learning Management System (LMS)
A software platform used to administer, deliver, and track training activities and completions. Agilexe products integrate with or complement existing LMS infrastructure rather than replacing it.
M
Machine Learning (ML)
A branch of AI in which systems learn patterns from data without being explicitly programmed. Many of the analysis and classification functions in Agilexe products are underpinned by machine learning techniques.
Microsoft Azure
Microsoft’s cloud computing platform, used by Agilexe to host its products. Azure provides the security, scalability, and compliance features required for defence and government deployments.
Multi-Tenant Architecture
A software architecture in which a single instance of an application serves multiple clients (tenants), with data and configurations kept isolated between them. Agilexe products use multi-tenant SaaS architecture.
N
Natural Language Processing (NLP)
A field of AI focused on enabling computers to understand, interpret, and generate human language. NLP powers the text analysis, summarisation, and generation features across the Agilexe suite.
P
Prompt Engineering
The practice of designing and refining the inputs given to an AI model to produce accurate, relevant, and useful outputs. Agilexe uses prompt engineering techniques to optimise AI performance within its products.
Q
Quality Assurance (QA)
The systematic process of checking whether training products and processes meet defined quality standards before they are delivered or published. QA is a key function of Scrutineer.
R
Retrieval-Augmented Generation (RAG)
An AI technique that combines document retrieval with generative AI. Rather than generating responses from model memory alone, a RAG system first retrieves relevant documents or data from a knowledge base and then generates a response grounded in that content. Agilexe’s SIFT product uses RAG to provide accurate, evidence-backed answers from an organisation’s own documentation.
Role Performance Statement (RolePS)
A document that defines the expected performance standards for a given role, describing the tasks an individual must be able to perform and to what standard. RolePS documents are used as inputs to TNA within the DSAT framework.
Role Profile
A document describing the responsibilities, tasks, and required competencies for a specific job role. Role profiles feed into TNA and training design processes.
S
SaaS (Software as a Service)
A software delivery model in which applications are hosted in the cloud and accessed via a web browser or API, rather than installed locally. Agilexe products are offered as SaaS on annual licence agreements.
T
Training Assurance
The process of verifying that training is fit for purpose, meets required standards, and delivers the intended learning outcomes. In DSAT contexts, training assurance is a formal activity with defined responsibilities. Scrutineer supports training assurance reviews.
Training Catalogue
A comprehensive record of all available training courses, programmes, and qualifications within an organisation or enterprise. Streamline analyses training catalogues to identify rationalisation opportunities.
Training Design
The process of translating a Training Needs Analysis into a structured programme, including learning objectives, content, delivery methods, duration, and assessment criteria. Schema is Agilexe’s training design tool.
Training Needs Analysis (TNA)
The process of identifying the gap between current and required levels of knowledge, skills, and behaviours for a given role or task. TNA is the first stage of the DSAT cycle and forms the foundation for all subsequent training design. Shadow and Silhouette are Agilexe’s TNA tools.
Training or Learning Objectives
Specific, measurable statements of what a learner will be able to do as a result of a training activity. Learning objectives are a core output of the training design stage and underpin assessment and evaluation.
V
Vector Database
A database optimised for storing and searching embeddings. When a user queries a RAG system, the vector database retrieves the most semantically relevant content to inform the AI’s response.
Ready to secure your competitive advantage?
Don’t let manual processes hold your capability back. Discover how our specialised applications drive the Golden Thread from analysis to delivery, or see the platform in action today.
Speed. Compliance. Confidence.
