AI & Data · Plan

Start with one area, a fixed scope and a clear answer.

A short assessment of where AI would pay in one area of your business, using the same tools as the PureNet Group's Converge Methodology. It ends with a recommendation you can act on, before you commit to anything bigger.

Where it fits

An assessment, or a full programme?

  • AI assessment

    One area · 5 to 10 days

    One area of your business, with the people who run it. Usually 5 to 10 days, depending on your size. It ends in a clear recommendation, and it's often where a bigger programme starts.

  • Converge programme

    The whole business · 8 to 12 weeks

    Every function, from leadership awareness to a prioritised roadmap and a first quarter. About four weeks for a single function. For when AI touches the whole business.

What we look for

Where AI pays in your business.

  • Routine work to take away

    Repetitive, time-consuming tasks your people do today that AI could take on, so they can focus on higher-value work.

  • Work across your systems

    Jobs that span your storefront, portal, ERP and CRM, where AI can act across them rather than add another isolated tool.

  • Responses in minutes, not days

    Quotes, reorders, answers and exceptions that wait in a queue today and could be handled as they arrive.

  • Growth without the same headcount

    Volumes of orders, enquiries and data that could grow without cost growing at the same rate.

What you get

Decisions, not a demo.

  • Your opportunities, ranked

    Each one placed on the AI Opportunity Pyramid, by how long it would take from decision to deployment.

  • What your data can support

    For each opportunity, whether the data it needs is in hand, scattered or missing, and what that means for timing.

  • A clear recommendation

    One of three: build this first; run a full Converge programme; or this is a process problem, not an AI one.

  • What to prove first

    The first pilot, with the number it should move, how we would measure it, and when to stop.

The AI Opportunity Pyramid

Where each idea sits.

We place every opportunity we find on one of four tiers, by how long it would take from decision to deployment. Choose a tier to see what it means, with an example from your sector.

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.

How a full Converge programme works

How we work

Plan. Build. Govern.

  • Plan

    Where AI pays, and in what order. For a whole business, the PureNet Group's Converge Methodology; for a single area, a fixed-scope assessment.

  • Build

    A pilot with a number to move, an owner and a way to stop it, then production in your storefront, portal and back office, integrated with your ERP and CRM.

  • Govern

    Govern the use, not the technology. Your own AI on business terms, with an owner, a one-page policy and an inventory; and every system we build for you tested on every change, logged, overseen by a person and fitted with an off switch, under our ISO 27001 controls.

Questions

What people ask us.

How long does it take?

Usually between 5 and 10 days, depending on the size of your business and the area we look at. We agree the scope and timing with you before we start.

What does it cost?

It depends on the scope, so we agree a fixed price with you before we start. Talk to us and we'll scope it with you.

How is it different from a Converge programme?

An assessment looks at one area with the people who run it, over days. A Converge programme covers the whole business over 8 to 12 weeks, starting with leadership awareness and ending in a prioritised roadmap and a first quarter. Both use the same tools, so an assessment's findings carry straight into a programme if you go on to one.

Will it always recommend AI?

No. Some problems are process or data problems, and the honest answer is to fix those first. We say so, and list them separately.

What happens afterwards?

That depends on the recommendation. If an opportunity is ready, we can build it with you. If AI touches several parts of the business, a Converge programme may come next. Or you take the findings and act on them yourselves.

Do we need clean data first?

No. The assessment tells you which opportunities your data can support today and which need work first.