AI & Data · AI consultancy

Find where AI will pay in your business, and what to do first.

Not "should we use AI?" but "where will it create the most value, and what is the right approach for each opportunity?" For a whole business we answer it with the PureNet Group's Converge Methodology; for a single area, with a fixed-scope assessment. Then we build what you choose into your storefront, portal and back office.

What we keep finding

Three findings that hold in every business.

  • Data, not technology, is the constraint

    The tools for most opportunities already exist. What decides how soon one can be delivered is whether the data it needs exists in a usable form.

  • Appetite and readiness pull in opposite directions

    The ideas that draw the most excitement are often the least ready. So we sequence by readiness, not enthusiasm, and start the data foundations early.

  • A blanket block on AI tools is the costliest mistake

    It pushes AI into personal accounts, the very risk it was meant to stop. The answer is governed access, not a ban.

The AI Opportunity Pyramid

Valuable is not the same as ready now.

Every opportunity sits on one of four tiers, by how long it takes from decision to deployment. The kind of value changes as you go up, from efficiency to new capability.

The AI Opportunity PyramidFour tiers, by time to deploy

Choose a tier to explore it

6–18 monthsNew capability

Embedded and bespoke AI

AI inside the product you sell, your own models, models on your own devices, and agents that run a function within set limits. Research: you find out whether it can be done, rather than buying it.

MonthsSkills

Integrated enterprise AI

Systems that cut across functions and need data joined up first: a data project with AI on the end of it. The business can do what it couldn’t before, because it can see across its own data.

WeeksQuality

Specialist functional AI

A product built for one function, with AI inside, configured and connected to one or two systems. The decision is which product, not whether to build. The work is done better, with fewer errors.

DaysEfficiency

Co-pilots and AI assistants

Off-the-shelf assistants on a licence. No data to prepare and nothing to connect: the work is governance and training. The same work, done faster.

Example from

Manufacturing & wholesale · Embedded AISelf-diagnosing equipment, with models running on the products you make.Products: e.g. Built on Azure IoT Edge or AWS IoT Greengrass

Retail & consumer brands · Embedded AIA demand or recommendation model built and owned in-house, trained on your own history.Products: e.g. Built on Google Cloud, AWS or Azure machine learning

Professional services · Embedded AIAgents that prepare routine filings within set limits, for a professional to sign off.Products: e.g. Built with Claude or OpenAI models, on Azure or AWS

Energy, utilities & finance · Embedded AIYour own credit, fraud or pricing models, built into the customer journey.Products: e.g. Built on Azure, AWS or Google Cloud machine learning

Charities & membership · Embedded AIYour own guidance service for the people you support, built and tested with safeguards.Products: e.g. Built with Claude or OpenAI models, with your own testing

Publishing & subscriptions · Embedded AIA recommendation model of your own, across every title you publish.Products: e.g. Built on Google Cloud, AWS or Azure machine learning

Sport & leisure · Embedded AIYour own personalisation in the club app, from content to seat upgrades.Products: e.g. Built on Google Cloud, AWS or Azure machine learning

Manufacturing & wholesale · Integrated enterprise AIPredictive maintenance and quality inspection from line, ERP and service data joined up.Products: e.g. SAP or Microsoft Dynamics data, joined with Jitterbit or Microsoft Fabric

Retail & consumer brands · Integrated enterprise AIDemand forecasts on stock, promotions and sales data joined up across your channels.Products: e.g. Microsoft Fabric or Google BigQuery, with your ERP and ecommerce platform

Professional services · Integrated enterprise AIAnswers grounded in client files and professional guidance, with access that follows the client.Products: e.g. Azure AI Search with Claude or OpenAI models, over your document systems

Energy, utilities & finance · Integrated enterprise AIA customer portal assistant that answers from account, billing and usage data.Products: e.g. Salesforce or Microsoft Dynamics, joined with your billing system

Charities & membership · Integrated enterprise AIMember and donor data joined up, so lapses are spotted and the next ask is right.Products: e.g. Salesforce or Microsoft Dynamics, with your fundraising and events data

Publishing & subscriptions · Integrated enterprise AIPredicting which subscriber will lapse, and which offer will keep them.Products: e.g. Your subscription platform’s data, joined with your analytics

Sport & leisure · Integrated enterprise AIOne view of each fan across tickets, retail and membership.Products: e.g. Salesforce or Microsoft Dynamics, joined with ticketing and retail

Manufacturing & wholesale · Specialist functional AIAI search that understands part numbers and specs; invoices captured automatically.Products: e.g. AI search on Adobe Commerce or BigCommerce; invoice capture in Dynamics 365 or Sage

Retail & consumer brands · Specialist functional AIAI search and merchandising that learns what shoppers mean.Products: e.g. AI search on Shopify Plus or Adobe Commerce

Professional services · Specialist functional AIContract review, or bookkeeping capture, for one practice area.Products: e.g. Luminance or Harvey for legal; Dext or AutoEntry for accountancy

Energy, utilities & finance · Specialist functional AIApplications, claims and meter queries read and sorted automatically.Products: e.g. Azure AI Document Intelligence or Google Document AI

Charities & membership · Specialist functional AISupporter enquiries sorted and routed to the right team.Products: e.g. The AI in Zendesk, Freshdesk or Salesforce Service Cloud

Publishing & subscriptions · Specialist functional AIArticles tagged automatically, and AI search across your whole archive.Products: e.g. Azure AI Language or Google Cloud Natural Language, with your CMS

Sport & leisure · Specialist functional AIAI search and recommendations in the club shop.Products: e.g. AI search on Shopify Plus or BigCommerce

Manufacturing & wholesale · Co-pilots and AI assistantsSupplier emails drafted and technical datasheets summarised.Products: e.g. Microsoft 365 Copilot, ChatGPT or Claude

Retail & consumer brands · Co-pilots and AI assistantsProduct descriptions and campaign copy drafted in your brand voice.Products: e.g. Shopify Magic, Microsoft 365 Copilot or Claude

Professional services · Co-pilots and AI assistantsMeetings summarised, proposals drafted and first-pass research done.Products: e.g. Microsoft 365 Copilot, Copilot in Teams or Claude

Energy, utilities & finance · Co-pilots and AI assistantsRegulatory updates summarised and customer letters drafted.Products: e.g. Microsoft 365 Copilot, ChatGPT or Claude

Charities & membership · Co-pilots and AI assistantsAppeals, grant bids and member newsletters drafted.Products: e.g. Microsoft 365 Copilot, ChatGPT or Claude

Publishing & subscriptions · Co-pilots and AI assistantsHeadlines, summaries and social posts drafted from your articles.Products: e.g. Microsoft 365 Copilot, ChatGPT or Claude

Sport & leisure · Co-pilots and AI assistantsMatch reports, fan emails and social posts drafted in minutes.Products: e.g. Microsoft 365 Copilot, ChatGPT or Claude

Most businesses should be working on three tiers at once, at three speeds.

The pyramid in full, at Enceladus.ai

How Converge runs

From every idea in the business to a first quarter.

Eight to twelve weeks for a whole business; about four for a single function or project.

  • Research and preparation

    Your sector, competitors, systems and data, and how you make investment decisions, before anyone sits in a room.

  • Awareness

    Sessions for your leadership on where AI adds value in your business, worked on your own scenarios, not a tour of the technology.

  • Discovery

    One workshop per team to capture every pain point without judging it, then a second to cluster, score and rank them.

  • Prioritisation

    Ideas consolidated into use cases, each placed on the pyramid with its data position and adoption pathway, and sequenced by readiness.

  • Pilot and scale

    Ready use cases go into production with an owner, a number to move and a way to stop them. This is where PureNet builds.

What you get

Decisions, not slideware.

  • A roadmap and a first quarter

    Every use case sequenced by readiness, with the quick wins, the proofs of value and the data foundations you can start now.

  • Use cases you can act on

    Each with its tier on the pyramid, its data position, its adoption pathway and whether to buy, configure, integrate, build or wait.

  • Business cases in your format

    The leading opportunities written up in your own investment template, with costs, benefits and risks.

  • What doesn't need AI

    Some problems are process or data problems, not AI problems. We list those separately and say so.

Converge in practice

Nidec Drives.

Ten workshops, about 80 people across five functions, 250 AI opportunities and 27 prioritised use cases, from a leadership briefing to a roadmap.

  • From 250 ideas to 27 AI use cases at Nidec Drives

    Ten workshops across five functions of a global drives manufacturer: around 80 people, 250 ideas, 27 prioritised AI use cases and a roadmap ordered by readiness, with a first quarter the business could start straight away.

  • An AI briefing that gave Nidec's leadership one shared view

    A leadership session for Nidec Drives, a global leader in motor control and drives, that set out where AI creates real value in industrial manufacturing and how to adopt it within the governance Nidec already has.

  • AI assessment

    Where would AI pay in your business?

    A fixed-scope AI assessment: where AI pays in your business, and in what order.

    Book an AI assessment

All case studies

Keeping up

How we keep up to date.

AI moves every month. The PureNet Group keeps its method and its people current in three ways.

  • The AI Lab

    The group's AI Lab has two sides: PureNet puts AI to work in ecommerce, portals and the back office; Enceladus.ai researches and proves the methods behind it.

  • A method that moves

    The pyramid is reviewed, not fixed. What needed a bespoke build two years ago now ships inside everyday products, and the method moves with it.

  • The method, written down

    The group's three books, from first idea to governed production: CONVERGE and GOVERN by Dr Paul M. Gibson, and ENGINEER by Ian Lawton, CTO.