{"id":4246,"date":"2026-09-09T11:07:41","date_gmt":"2026-09-09T11:07:41","guid":{"rendered":"https:\/\/palegoldenrod-boar-492303.hostingersite.com\/?p=4246"},"modified":"2026-09-10T11:07:54","modified_gmt":"2026-09-10T11:07:54","slug":"ai-transformation-roadmap","status":"publish","type":"post","link":"https:\/\/growthnation.ai\/insights\/ai-transformation-roadmap\/","title":{"rendered":"AI Transformation Roadmap: What Has to Come Before What"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\"> 13<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span><div class=\"\">\n\t\t\t<div class=\"aioseo-toc-header\">\n\t\t\t\t<header class=\"aioseo-toc-header-area\">\n\t\t\t\t\t<div class=\"aioseo-toc-header-title aioseo-toc-header-collapsible-closed \">\n\t\t\t\t\t<div class=\"aioseo-toc-header-collapsible\">\n\t\t\t\t\t\t<svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n\t\t  <path d=\"M6 8H0V6H6V0H8V6H14V8H8V14H6V8Z\" fill=\"#005AE0\"\/>\n\t\t<\/svg>\n\t\t\t\t\t<\/div>\n\t\t\t\t\tShow Table of Contents\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div class=\"aioseo-toc-header-title aioseo-toc-header-collapsible-open aioseo-toc-collapsed\">\n\t\t\t\t\t<div class=\"aioseo-toc-header-collapsible\">\n\t\t\t\t\t\t<svg width=\"14\" height=\"2\" viewBox=\"0 0 14 2\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n\t\t  <path d=\"M0 2V0H14V2H0Z\" fill=\"#005AE0\"\/>\n\t\t<\/svg>\n\t\t\t\t\t<\/div>\n\t\t\t\t\tHide Table of Contents\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/header>\n\t\t\t\t<div class=\"aioseo-toc-contents aioseo-toc-collapsed\">\n\t\t\t\t\t<ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-transformation-roadmap-3\">What is an AI transformation roadmap?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-most-ai-transformation-roadmaps-go-stale-7\">Why most AI transformation roadmaps go stale<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-capability-changes-inside-the-planning-window-9\">Capability changes inside the planning window<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-results-arrive-too-late-to-steer-by-11\">Results arrive too late to steer by<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-dates-stand-in-for-decisions-13\">Dates stand in for decisions<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-the-phases-most-ai-transformation-roadmaps-share-15\">The phases most AI transformation roadmaps share<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-has-to-come-before-what-in-an-ai-transformation-roadmap-26\">What has to come before what in an AI transformation roadmap<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-a-baseline-comes-before-the-pilot-28\">A baseline comes before the pilot<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-scale-criteria-come-before-the-pilot-starts-30\">Scale criteria come before the pilot starts<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-an-owner-comes-before-scale-32\">An owner comes before scale<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-permissions-come-before-autonomy-34\">Permissions come before autonomy<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-does-not-have-to-come-first-36\">What does not have to come first<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-how-to-structure-an-ai-transformation-roadmap-by-level-of-commitment-38\">How to structure an AI transformation roadmap by level of commitment<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-commit-firmly-to-the-next-review-cycle-40\">Commit firmly to the next review cycle<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-plan-the-next-few-cycles-provisionally-49\">Plan the next few cycles provisionally<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-point-towards-the-longer-term-without-dating-it-51\">Point towards the longer term without dating it<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-calendar-phased-and-evidence-gated-ai-transformation-roadmaps-compared-53\">Calendar-phased and evidence-gated AI transformation roadmaps compared<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-frequently-asked-questions-58\">Frequently asked questions<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-transformation-roadmap-59\">What is an AI transformation roadmap?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-are-the-phases-of-an-ai-transformation-roadmap-61\">What are the phases of an AI transformation roadmap?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-comes-first-in-an-ai-transformation-roadmap-63\">What comes first in an AI transformation roadmap?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-should-an-ai-transformation-roadmap-include-65\">What should an AI transformation roadmap include?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-how-long-does-an-ai-transformation-roadmap-take-67\">How long does an AI transformation roadmap take?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-who-should-own-an-ai-transformation-roadmap-69\">Who should own an AI transformation roadmap?<\/a><\/li><\/ul><\/li><\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n<p><em><strong>Quick Answer:<\/strong> An AI transformation roadmap is the plan for the order in which an organisation moves AI work from first test to everyday use, and for what has to be true before each step. The most durable roadmaps are organised around conditions rather than dates: a baseline before any pilot, scale criteria agreed before it starts, a named owner before anything scales, and clear permissions before an agent acts on its own.<\/em><\/p>\n\n\n\n<p>More than half of the 415 chief executives in the Oliver Wyman Forum and New York Stock Exchange <a href=\"https:\/\/www.businesswire.com\/news\/home\/20260407092232\/en\/CEOs-Convert-Disruption-Into-Competitive-Advantage-Oliver-Wyman-Forum-and-New-York-Stock-Exchange-Survey-Finds\">CEO Agenda 2026 survey<\/a> said it was still too early to evaluate the return on their AI investment: 53%, up from 41% a year earlier. Only 27% said returns had met or exceeded expectations, down from 38%. How an AI programme is sequenced shapes whether its results can be seen at all: what is measured first, what is left until the end, and what decides when work moves forward.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-is-an-ai-transformation-roadmap-3\">What is an AI transformation roadmap?<\/h2>\n\n\n\n<p>An AI transformation roadmap is the working plan that turns decisions about AI into a sequence. It records each piece of work, what that work depends on, who owns it, how its results will be measured, and when it will next be reviewed.<\/p>\n\n\n\n<p>It sits alongside two related documents. An <a href=\"https:\/\/growthnation.ai\/insights\/ai-transformation-strategy\/\">AI transformation strategy<\/a> decides which work an organisation hands over to AI and why. The roadmap takes those decisions and puts them in order, with the conditions each one has to meet before it moves forward. An <a href=\"https:\/\/growthnation.ai\/insights\/ai-maturity-model\/\">AI maturity model<\/a> does a different job again: it describes where an organisation stands today, while the roadmap describes how it moves from there.<\/p>\n\n\n\n<p>For an organisation pursuing <a href=\"https:\/\/growthnation.ai\/insights\/agentic-transformation\/\">agentic transformation<\/a>, the roadmap is where that ambition becomes a working schedule. Listing the steps is straightforward. The difficult part is deciding what allows a piece of work to move from one step to the next, and what should stop it. A roadmap that answers that question stays useful as circumstances change.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-most-ai-transformation-roadmaps-go-stale-7\">Why most AI transformation roadmaps go stale<\/h2>\n\n\n\n<p>Most published roadmaps set out a sequence of phases across a year or more. That structure is familiar, but three features of it make the plan harder to keep current and its results harder to see.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-capability-changes-inside-the-planning-window-9\">Capability changes inside the planning window<\/h3>\n\n\n\n<p><a href=\"https:\/\/metr.org\/blog\/2026-1-29-time-horizon-1-1\/\">METR&#8217;s time-horizon measurements<\/a> track the length of software tasks that frontier AI agents can complete with 50% reliability. That length doubled roughly every seven months between 2019 and 2025, and since 2024 the doubling time has been closer to three months. The tasks are drawn from software engineering, machine learning and cybersecurity rather than work in general, but the direction is clear. An AI transformation roadmap fixed for eighteen months outlasts more than two doublings on the long-run trend alone, so what <a href=\"https:\/\/growthnation.ai\/insights\/ai-agents-for-business\/\">AI agents for business<\/a> can take on by the end of the plan differs from what they could do when it was written.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-results-arrive-too-late-to-steer-by-11\">Results arrive too late to steer by<\/h3>\n\n\n\n<p>When evaluation is scheduled for the end of a phase, the roadmap has no evidence with which to reorder itself along the way. The CEO Agenda survey also found that organisations further ahead in deployment were nearly three times as likely to report returns meeting or exceeding expectations, at 49% against 17%. The <a href=\"https:\/\/www.cbi.org.uk\/articles\/the-adoption-decade-making-ai-work-for-britain\/\">CBI&#8217;s Adoption Decade report<\/a>, produced with Oliver Wyman, makes a related point: pilots can become a substitute for transformation when they are not tied to business priorities and to measurement of value.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-dates-stand-in-for-decisions-13\">Dates stand in for decisions<\/h3>\n\n\n\n<p>In a phase plan, the end of one phase triggers the start of the next, whether or not the evidence supports the move. That works when the timings rest on experience. With AI, they rarely can. One business leader consulted for the CBI report put it plainly: &#8220;There are no verified blueprints for us to rely on.&#8221; Published timelines for AI programmes vary widely, so a date borrowed from another organisation&#8217;s plan is an assumption rather than evidence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-the-phases-most-ai-transformation-roadmaps-share-15\">The phases most AI transformation roadmaps share<\/h2>\n\n\n\n<p>The common sequence is a reasonable description of the activities involved, and naming it helps organisations check their own plan for gaps. Most versions include six phases:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Readiness assessment.<\/strong> Establishing the current state of data, tools, skills and appetite for change, often through an <a href=\"https:\/\/growthnation.ai\/insights\/ai-readiness-assessment\/\">AI readiness assessment<\/a>.<\/li>\n\n\n\n<li><strong>Use-case prioritisation.<\/strong> Choosing where to start by weighing value, feasibility and risk.<\/li>\n\n\n\n<li><strong>Foundations.<\/strong> Putting in place the data, governance and security work needed before AI touches live processes.<\/li>\n\n\n\n<li><strong>Pilot.<\/strong> Running a bounded test with real users and real data.<\/li>\n\n\n\n<li><strong>Scale.<\/strong> Moving a proven pilot into routine operation, with monitoring and support.<\/li>\n\n\n\n<li><strong>Continuous improvement.<\/strong> Reviewing performance, risk and cost after launch, and adjusting as conditions change.<\/li>\n<\/ul>\n\n\n\n<p>The sequence describes what happens. It says much less about what has to be true for work to move between phases, and that is where published sources converge. Four of them frame the roadmap in broadly compatible ways.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Source<\/strong><\/td><td><strong>How it structures the roadmap<\/strong><\/td><td><strong>What it treats as the condition for scaling<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>Snowflake<\/strong><\/td><td>Six phases from readiness assessment to continuous improvement, run as a management system rather than a fixed plan<\/td><td>Pilots define in advance what must be true before scaling, including evaluation thresholds, review points and a clear owner<\/td><\/tr><tr><td><strong>Microsoft<\/strong><\/td><td>Five drivers developed in parallel, each mapped to a five-stage maturity model from Exploring to Realizing<\/td><td>Progress is assessed driver by driver to identify where to invest next<\/td><\/tr><tr><td><strong>CBI with Oliver Wyman<\/strong><\/td><td>Near-term deployments that build confidence, combined with medium-term transformation bets, reviewed regularly<\/td><td>Proof of value against baseline metrics and explicit scale criteria<\/td><\/tr><tr><td><strong>Oliver Wyman and Quotient AI, in the CBI report<\/strong><\/td><td>Three stages, from widespread uncoordinated experimentation, through centrally coordinated priorities, to AI embedded in everyday business-led work<\/td><td>A move from many ideas to fewer, larger priorities under central governance<\/td><\/tr><tr><td><strong>Common thread<\/strong><\/td><td>All four describe the roadmap as something that changes as it runs<\/td><td>All four put measurement and ownership ahead of scale. None sets a standard timeline for an organisation&#8217;s roadmap<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-has-to-come-before-what-in-an-ai-transformation-roadmap-26\">What has to come before what in an AI transformation roadmap<\/h2>\n\n\n\n<p>Phases describe activity. Dependencies describe conditions. A useful roadmap is explicit about four conditions that sit before specific steps, and equally explicit about several things that are often placed first but do not need to be.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-a-baseline-comes-before-the-pilot-28\">A baseline comes before the pilot<\/h3>\n\n\n\n<p>The CBI report recommends that, for major use cases, organisations establish a baseline before deployment and define leading and lagging indicators. Without a starting measure, a pilot can only report activity: how many people used it and how many tasks it touched. It cannot show whether anything improved, which is how organisations arrive at the too-early-to-tell position the Oliver Wyman survey describes. A baseline can also sit at organisation level, through <a href=\"https:\/\/growthnation.ai\/insights\/ai-scorecard\/\">an AI scorecard<\/a> that tracks progress across teams over time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-scale-criteria-come-before-the-pilot-starts-30\">Scale criteria come before the pilot starts<\/h3>\n\n\n\n<p>The same report calls for high-potential pilots to move into proof-of-value stages with explicit scale criteria, so that low-value pilots can be stopped, consolidated or reused as learning. <a href=\"https:\/\/www.snowflake.com\/en\/artificial-intelligence\/transformation\/\">Snowflake&#8217;s AI transformation guide<\/a> makes a similar case: a pilot should define what must be true before scaling, including approved data sources, evaluation thresholds, human review points and an owner for ongoing performance. Criteria written into the AI transformation roadmap before results arrive keep the decision honest; criteria written afterwards tend to fit the results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-an-owner-comes-before-scale-32\">An owner comes before scale<\/h3>\n\n\n\n<p>The CBI recommends that implementation sits with the business function that will capture the value, not with technology teams alone, while boards set the ambition and appetite for risk. Ownership has a second meaning too. Where automations are built inside personal accounts, they drift out of view as <a href=\"https:\/\/growthnation.ai\/insights\/shadow-ai-risk\/\">shadow AI<\/a> and leave with the people who built them. An AI transformation roadmap that scales work without settling who owns it scales that risk as well. GrowthNation serves every agent centrally, so the work built for an organisation stays with the organisation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-permissions-come-before-autonomy-34\">Permissions come before autonomy<\/h3>\n\n\n\n<p>Before <a href=\"https:\/\/growthnation.ai\/insights\/what-is-an-ai-agent\/\">an AI agent<\/a> acts inside live systems, the roadmap needs to record which tools it can call, what it can change and where a person reviews its output. Snowflake makes the same point about bounding an agent&#8217;s actions before it reaches production. With <a href=\"https:\/\/growthnation.ai\/insights\/what-is-agentic-ai\/\">agentic AI<\/a>, the governing question shifts from what the system says to what it does, and the CBI report is clear that people remain accountable for higher-impact decisions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-what-does-not-have-to-come-first-36\">What does not have to come first<\/h3>\n\n\n\n<p>Several things that often open a roadmap can run alongside early work. In the <a href=\"https:\/\/www.lloydsbankinggroup.com\/media\/press-releases\/2026\/lloyds\/more-than-half-of-uk-businesses-say-ai-has-created-new-jobs.html\">Lloyds Business Barometer<\/a>, UK firms named cost (18%), data quality (17%) and access to skills (17%) as the main barriers to getting more value from AI, and 31% said their workforce lacks the AI skills needed. No single barrier dominates, which argues against holding every use case behind one organisation-wide foundation programme. A complete strategy is not a prerequisite either: a financial technology executive interviewed for <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-cloud\/blog\/2026\/07\/21\/the-ai-strategy-roadmap-five-drivers-of-successful-ai-transformation\/\">Microsoft&#8217;s AI Strategy Roadmap<\/a> described testing one area first and expanding once the impact was visible. Smaller organisations, the CBI report adds, can use a lighter playbook instead of a centre of excellence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-how-to-structure-an-ai-transformation-roadmap-by-level-of-commitment-38\">How to structure an AI transformation roadmap by level of commitment<\/h2>\n\n\n\n<p>The CBI report describes a credible roadmap as one that combines near-term deployments that build confidence with medium-term transformation bets aimed at the largest value pools, reviewed regularly. In practice, that becomes three levels of commitment, each held to a different standard.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-commit-firmly-to-the-next-review-cycle-40\">Commit firmly to the next review cycle<\/h3>\n\n\n\n<p>Committed items are few and fully specified. The first commitment is finding the work worth changing. METR&#8217;s <a href=\"https:\/\/metr.org\/time-horizons\/\">methodology notes<\/a> point out that its test tasks are self-contained and well specified, whereas real work draws on context and tacit knowledge held by the people who do it. That context has to be gathered before anything is built, and GrowthNation gathers it by interviewing each team member, by voice or text, about how their work is actually done. A piece of work earns a committed line on the AI transformation roadmap only when every field is complete. Each committed line records:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The work:<\/strong> the specific task or process, described in the words of the people who do it.<\/li>\n\n\n\n<li><strong>The owner:<\/strong> the business function accountable for the result.<\/li>\n\n\n\n<li><strong>The baseline:<\/strong> how the work performs today, measured before anything changes.<\/li>\n\n\n\n<li><strong>The scale criteria:<\/strong> the result that would justify expanding it, agreed in advance.<\/li>\n\n\n\n<li><strong>The permissions:<\/strong> what any agent involved may read, change or trigger.<\/li>\n\n\n\n<li><strong>The next review:<\/strong> the date the line is next assessed against its criteria.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-plan-the-next-few-cycles-provisionally-49\">Plan the next few cycles provisionally<\/h3>\n\n\n\n<p>The middle level holds candidate work that has been identified but not yet committed. Each candidate is queued with its dependencies noted, and the queue is reordered at every review using evidence from the committed lines. Common <a href=\"https:\/\/growthnation.ai\/insights\/agentic-ai-examples\/\">agentic AI examples<\/a>, such as drafting status reports or routing invoices, show the kind of work that tends to appear here.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-point-towards-the-longer-term-without-dating-it-51\">Point towards the longer term without dating it<\/h3>\n\n\n\n<p>The outer level records medium-term bets as direction rather than deliverables. Maturity targets, set and tracked through an <a href=\"https:\/\/growthnation.ai\/insights\/ai-maturity-assessment\/\">AI maturity assessment<\/a>, fit here better than dated milestones, because the path to them will change as the committed work produces evidence. Every level of an AI transformation roadmap is revisited on a cycle measured in months rather than years, keeping pace with the capability underneath it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-calendar-phased-and-evidence-gated-ai-transformation-roadmaps-compared-53\">Calendar-phased and evidence-gated AI transformation roadmaps compared<\/h2>\n\n\n\n<p>The same activities can be organised in two ways. A calendar-phased roadmap moves work forward on a timetable. An evidence-gated one moves it forward when agreed conditions are met. Neither is wrong, and many organisations combine them, setting a calendar budget envelope with evidence gates inside it.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td>&nbsp;<\/td><td><strong>Calendar-phased roadmap<\/strong><\/td><td><strong>Evidence-gated roadmap<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>Unit of planning<\/strong><\/td><td>Phases with planned start and end dates<\/td><td>Individual pieces of work, each with entry and exit conditions<\/td><\/tr><tr><td><strong>What moves work forward<\/strong><\/td><td>The close of a phase or budget cycle<\/td><td>Evidence that agreed scale criteria have been met<\/td><\/tr><tr><td><strong>When measurement is set up<\/strong><\/td><td>Often alongside evaluation at the end of a phase<\/td><td>Before the pilot begins, as a baseline<\/td><\/tr><tr><td><strong>What happens to a weak pilot<\/strong><\/td><td>Continues to the planned phase review<\/td><td>Stopped, consolidated or reused as learning at the next review<\/td><\/tr><tr><td><strong>How often the plan changes<\/strong><\/td><td>At major re-planning points<\/td><td>At each scheduled review<\/td><\/tr><tr><td><strong>Best suited to<\/strong><\/td><td>Fixed-scope programmes tied to regulatory, procurement or budget milestones<\/td><td>Programmes where capability and priorities are still shifting<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The calendar-phased approach is the stronger choice where external milestones are fixed: a regulatory deadline, a procurement cycle, or a capital budget approved once a year. In those settings, predictability is worth more than flexibility. The evidence-gated approach earns its place where the capability being deployed, and the organisation&#8217;s own priorities, are still moving.<\/p>\n\n\n\n<p>GrowthNation starts a roadmap where the evidence suggests it should start: with the work itself. Each team member is interviewed about how they actually work, the repeatable tasks are mapped, and a baseline is set before anything is automated. <a href=\"https:\/\/growthnation.ai\/#how-it-works\">See how it works<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-frequently-asked-questions-58\">Frequently asked questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-what-is-an-ai-transformation-roadmap-59\">What is an AI transformation roadmap?<\/h3>\n\n\n\n<p>An AI transformation roadmap is the plan that sets the order in which an organisation moves AI work from first test to routine use. It records who owns each piece of work, how success will be measured, and what must be true before it scales.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-what-are-the-phases-of-an-ai-transformation-roadmap-61\">What are the phases of an AI transformation roadmap?<\/h3>\n\n\n\n<p>Most roadmaps follow six phases: readiness assessment, use-case prioritisation, data and governance foundations, pilot, scale, and continuous improvement. The phases describe the activities involved. What moves work from one phase to the next is a set of agreed conditions, such as a baseline and scale criteria.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-what-comes-first-in-an-ai-transformation-roadmap-63\">What comes first in an AI transformation roadmap?<\/h3>\n\n\n\n<p>Four conditions come before specific steps: a baseline before any pilot, scale criteria agreed before the pilot starts, a named business owner before anything scales, and defined permissions before an AI agent acts on its own. An organisation-wide data programme or a finished strategy does not need to come first.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-what-should-an-ai-transformation-roadmap-include-65\">What should an AI transformation roadmap include?<\/h3>\n\n\n\n<p>An AI transformation roadmap should list each piece of work with its owner, its baseline measurement, the criteria that would justify scaling it, the permissions any agent needs, and the date of its next review. Longer-term ambitions can be recorded as direction rather than dated commitments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-how-long-does-an-ai-transformation-roadmap-take-67\">How long does an AI transformation roadmap take?<\/h3>\n\n\n\n<p>There is no verified benchmark for how long an AI transformation roadmap takes, and published timelines vary widely. METR measured the length of software tasks AI agents can complete doubling roughly every seven months between 2019 and 2025, so roadmaps work best as living plans reviewed on a cycle of months.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-who-should-own-an-ai-transformation-roadmap-69\">Who should own an AI transformation roadmap?<\/h3>\n\n\n\n<p>An AI transformation roadmap needs senior sponsorship for the overall ambition and business ownership for each piece of work. The CBI recommends that implementation sits with the business function that will capture the value, rather than with technology teams alone.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quick Answer: An AI transformation roadmap is the plan for the order in which an organisation moves AI work from first test to everyday use, and for what has to be true before each step. The most durable roadmaps are organised around conditions rather than dates: a baseline before any pilot, scale criteria agreed before [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4247,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-4246","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-thoughts"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/growthnation.ai\/insights\/wp-content\/uploads\/2026\/09\/ai-transformation-roadmap-featured.webp?fit=1672%2C941&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/posts\/4246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/comments?post=4246"}],"version-history":[{"count":1,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/posts\/4246\/revisions"}],"predecessor-version":[{"id":4248,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/posts\/4246\/revisions\/4248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/media\/4247"}],"wp:attachment":[{"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/media?parent=4246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/categories?post=4246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/growthnation.ai\/insights\/wp-json\/wp\/v2\/tags?post=4246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}