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Theme

Frameworks

The methods behind the work

Every NLAI engagement runs on a small set of named, documented methods. They make the work predictable for you: what we need, how we proceed, what you receive and where each method sits in the lifecycle.

The spine

One lifecycle, six stages

Every framework belongs to one or more stages of the engagement lifecycle, from Assess to Scale. Each stage ends with a decision point, so commitment grows step by step.

How the lifecycle works

  1. 01

    Assess

    We establish where you stand: business priorities, processes, data, systems and team readiness. The result is a clear baseline and a shortlist of opportunities worth pursuing.

  2. 02

    Advise

    We turn the assessment into decisions: a prioritised roadmap, a target architecture, the assumptions behind the business case and the governance needed to act with confidence.

  3. 03

    Build

    We design and engineer the solution in short, reviewable increments, validated against real data and agreed acceptance criteria before anything reaches production.

  4. 04

    Enable

    We prepare your people to own what has been built: role-based training, documentation, a structured handover and the operating routines that make adoption last.

  5. 05

    Operate

    We run and monitor the system alongside your team, covering performance, data quality, cost and model behaviour, with clear responsibilities for incidents and change requests.

  6. 06

    Scale

    Once the value is proven, we extend what works to new processes, sites and business units, building on the same foundations instead of starting again.

Framework map

Which method applies when

Each framework is marked with the stages in which it is used. Open a framework for its purpose, inputs, method and outputs.

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All frameworks

Assess and decide

Methods that establish where you stand and which opportunities deserve investment.

  1. 01

    AI Readiness Framework

    A structured view of how ready an organisation is to create value with AI, across six axes: Strategy & Leadership, Processes & Use Cases, People & Adoption, Data, Technology, and Governance & Risk. It turns a general ambition into an evidence-based baseline and a short list of prioritised actions.

    Used inAssess

  2. 02

    Opportunity Matrix

    A way to compare candidate AI and automation use cases on business value and feasibility, so that investment goes first to the opportunities that are both worth doing and possible to deliver.

    Used inAssess and Advise

  3. 03

    Automation Discovery Framework

    A structured way to find the processes where automation and AI agents will pay off, moving from a broad process inventory through three gates to a small backlog of candidates, each with a design and a business case.

    Used inAssess and Advise

Plan, design and deliver

Methods that turn decisions into roadmaps, architectures and working systems.

  1. 04

    Transformation Blueprint

    A single-page structure for an AI and digital transformation roadmap: four workstreams planned across three horizons, so that use cases, data and platforms, people and governance move forward together.

    Used inAdvise

  2. 05

    Enterprise AI Architecture

    A reference architecture for running AI inside an enterprise estate: channels, orchestration and agents, models and retrieval, and data and integration, all within your security boundary, with identity, observability and governance across every layer.

    Used inAdvise, Build and Scale

  3. 06

    Delivery method

    How the Build stage runs: five steps from a written success definition to a system that is deployed, observed and improving, with six deliverables that come with every build engagement by default.

    Used inBuild

  4. 07

    NLAI system stack

    The four layers of a complete AI system: data infrastructure, AI systems, an intelligence layer and the operational outcomes they serve. We use it to check that a solution is designed as a whole, not as an isolated model.

    Used inAdvise, Build and Scale

  5. 08

    Engineering principles

    Four principles that shape every system we design and build: outcome-driven, production-minded, responsible end to end, and engineered for your context.

    Used inBuild, Operate and Scale

Govern and assure

Methods that keep the use of AI proportionate, documented and under human control.

  1. 09

    AI Governance Toolkit

    A practical set of policies, templates and routines for using AI responsibly: who decides, how use cases are classified by risk, how systems are documented, how people stay in control and how incidents are handled. Proportionate by design, and built to work alongside applicable regulation.

    Used inAdvise, Build and Operate

Working methods, not certified standards

These frameworks are NLAI’s own documented ways of working. They are not certifications or accredited standards, and they are refined with every engagement. Where a framework refers to regulation, it does so in general terms and does not replace legal advice.

Where to start

Start with an honest baseline

Most engagements begin by establishing readiness across six axes. The right frameworks follow from what the baseline shows.

Request a proposalThe AI Readiness Framework