AMPI PIC key terms

A structural shift in how an organisation creates and delivers value, driven by adopting digital technology across processes, culture and business models rather than by isolated tool upgrades.

A staged assessment of how deeply an organisation has embedded digital capability, from ad-hoc experiments to data-driven, continuously improving operations benchmarked against peers.

A time-phased plan that sequences initiatives, dependencies, owners and milestones toward a strategic goal, kept deliberately revisable as evidence and priorities change.

The smallest release that delivers real value to real users and generates validated learning, used to test assumptions before committing full budget.

The stage at which a product reliably satisfies a defined market segment well enough that demand pulls growth, evidenced by retention and referral rather than by launch hype.

Delivery of computing resources such as storage, processing and software over a network on demand, billed by consumption and elastically scaled without owning physical infrastructure.

A licensing and delivery model in which a provider hosts software centrally and customers access it over the internet, typically by subscription, without managing underlying servers.

The controlled replacement or wrapping of ageing systems so that critical data and processes can connect to modern services without a risky all-at-once rebuild.

The accumulated future cost of shortcuts taken in design or code, which slows later change and must be made visible and repaid deliberately rather than ignored.

Systems that perform tasks associated with human judgement, such as classification, prediction or generation, by learning patterns from data rather than following only explicit rules.

A branch of AI in which models infer statistical patterns from training data and generalise to new inputs, with quality depending heavily on data volume and representativeness.

Models that produce new text, images, code or audio in response to prompts, useful for drafting and ideation but requiring human review for accuracy and rights.

The practice of structuring instructions, context and examples given to a generative model so outputs become more relevant, consistent and verifiable for a specific task.

A confident but fabricated or incorrect output from a generative model, which makes verification steps and source citation essential in any client-facing use.

Systematic unfairness in automated outputs that arises from skewed training data, proxy variables or flawed objectives, producing unequal treatment across groups of users.

A design in which a person reviews, corrects or approves automated decisions at defined checkpoints, preserving accountability where errors carry material consequences.

The rules, roles and controls that determine who may access, change and share data, and how its quality, lineage and lawful use are assured over time.

The fitness of data for its intended use, judged on accuracy, completeness, consistency and timeliness; poor quality undermines analytics and model performance alike.

Principles governing the fair, transparent and lawful handling of data, including consent, minimisation, purpose limitation and respect for the reasonable expectations of the people represented.

Dependence on one supplier's proprietary interfaces or pricing such that switching becomes costly, mitigated by open standards, exit clauses and portable data formats.

The structured work of preparing people for new processes and tools through communication, training, sponsorship and feedback, so adoption outlasts the launch itself.

A small set of quantified measures tied to strategic objectives, chosen because movement in them signals genuine progress rather than mere activity.

A goal-setting method pairing a qualitative, ambitious objective with a few measurable key results, usually reviewed quarterly to align teams without prescribing every task.

The ratio of net benefit to cost for an initiative, used to compare options; reliable only when benefits such as time saved or risk reduced are explicitly valued.

The full lifetime cost of a solution, including licensing, integration, training, support and decommissioning, not just the headline purchase or subscription price.

Comparing performance, cost or practice against internal baselines, competitors or recognised standards to identify gaps and set credible improvement targets.

A structured account of a real engagement describing context, intervention, measured outcomes and transferable lessons, used as credible proof rather than promotional anecdote.

A controlled experiment comparing two variants on a single changed element with randomly split traffic, so differences in outcome can be attributed to the change.

Identifying everyone affected by or able to influence an initiative, then charting their interest and influence to plan engagement effort proportionately.

A concise statement of the specific benefit a solution delivers to a defined audience and why it beats the alternatives, including doing nothing.

A formal, mutually beneficial agreement between independent organisations to share capability, market access or risk toward a common goal without merging.

The network of technology providers, agencies, resellers and platforms around an organisation whose combined offerings extend what it can deliver alone.

Simultaneous cooperation and competition between firms that collaborate on shared standards or infrastructure while competing for the same customers elsewhere.

A non-binding written record of intent between parties, setting out scope and expectations for a collaboration before detailed, enforceable contracts are negotiated.

A contract clause defining measurable service commitments such as uptime or response time, together with remedies when those commitments are missed.

Willingness to rely on another party based on demonstrated competence, integrity and predictability, built through consistency, transparency and honoured commitments over time.

The tendency to adopt a behaviour or accept a claim when credible others visibly do so, exploited in marketing through testimonials, client logos and review scores.

The end-to-end sequence of interactions a person has with an organisation, from first awareness through purchase, use and advocacy, including friction points.

A research-grounded composite profile of a representative user segment, capturing goals, context and frustrations so design decisions target real needs rather than assumptions.

The ease with which users can achieve their goals effectively, efficiently and with satisfaction, measured through task success, time on task and error rates.

Designing so people with visual, auditory, motor or cognitive impairments can perceive and operate a service, guided by recognised standards such as perceivable, operable, understandable and robust criteria.

A low-fidelity layout sketch showing structure, hierarchy and placement of elements without visual styling, used to agree on function before detailed design.

An interactive early model of a product used to test flows and assumptions with users cheaply, ranging from paper sketches to clickable high-fidelity screens.

A shared library of reusable components, tokens, patterns and usage rules that keeps interfaces consistent and speeds delivery across teams and products.

The deliberate set of visual and verbal signals, such as logo, palette, tone and typography, that makes an organisation recognisable and distinct across touchpoints.

The share of visitors or users who complete a defined desired action, such as a purchase or sign-up, within a given period.

Creating and distributing genuinely useful material, such as guides or research, to attract and retain a defined audience, with selling as an outcome rather than the overt purpose.

A single visual display consolidating the few metrics a decision-maker needs, designed for quick reading and refreshed from governed, reliable data sources.