Most enterprise platform decisions drag on for six to nine months. By the time the team reaches a recommendation, the vendor roadmap has shifted, two stakeholders have changed jobs, and the original business case feels stale. A focused Sitecore AI decision plan compresses that timeline to 30 days — not because the decision is trivial, but because momentum and clarity matter more than exhaustive analysis. In our experience leading these processes for enterprise clients, the difference between a good decision and a great one is rarely more data. It is faster alignment.
Jean-Nicolas Gauthier
This Sitecore AI decision plan is built for organizations already running Sitecore (XP, XM, or XM Cloud) who are weighing whether to adopt Sitecore’s AI capabilities, swap in a composable AI layer, or wait. It assumes you have a sponsor, a small core team (3-5 people), and access to your current contract and roadmap. Furthermore, it assumes you are willing to make a directional decision in 30 days and refine it over the following quarter — rather than chasing perfection. At Sengo, we have run this exact playbook with enterprise clients across financial services, retail, and public sector, and the 30-day window consistently produces better outcomes than longer evaluations.
Week one of the Sitecore AI decision plan is about alignment, not analysis. Before anyone touches a vendor demo or a TCO spreadsheet, the core team needs to agree on three things: the business problem AI is supposed to solve, the constraints (budget, timeline, contract), and the decision criteria. Skipping this step is the most common reason platform decisions stall in week six.
Run a half-day kickoff with the sponsor, the core team, and one representative from finance. Document the current Sitecore footprint — versions, modules in use, customizations, and contract renewal date. Additionally, capture the current pain points in a single page: where editors lose time, where personalization underperforms, where search results frustrate visitors. By Friday of week one, the team should have a one-page brief that answers: what are we trying to accomplish, what cannot change, and how will we know we picked right? This brief becomes the spine of the rest of the Sitecore AI decision plan.
Week 1 deliverables: kickoff complete, one-page decision brief, current-state Sitecore inventory, decision criteria signed off by the sponsor.
Week two turns the brief into specific use cases. Interview six to ten stakeholders across marketing, editorial, IT, customer experience, and analytics. Keep each interview to 30 minutes and ask the same three questions: where would AI make your week measurably better, what have you tried before that did not work, and what would success look like in 90 days? Consequently, you will surface the real demand signal — not the demand the vendor pitch implies.
Cluster the interview output into 5-8 candidate use cases. For each one, capture the user, the current process, the proposed AI-assisted process, and a rough estimate of value (time saved, conversion lift, or cost reduction). Then rank them on two axes: business value and implementation feasibility. The top three become your test cases for vendor conversations in week three. Reference Sitecore’s official documentation on Sitecore AI for the current capability set, but do not let the vendor list drive your use cases — let your interviews drive them. This discipline is what separates a real Sitecore AI decision plan from a vendor-led roadmap.
Week 2 deliverables: 6-10 stakeholder interviews complete, 5-8 candidate use cases documented, top 3 prioritized for vendor conversations.
Week three is where the Sitecore AI decision plan gets quantitative. Build a three-year TCO model that compares three paths: stay on current Sitecore and add Sitecore AI modules, migrate to XM Cloud with native AI, or compose an AI layer (Coveo, OpenAI, or similar) on top of your current stack. Include licenses, implementation, integration, training, and the opportunity cost of delay. For deeper guidance on the financial side, see our companion piece on Sitecore AI TCO modeling.
In parallel, schedule structured conversations with Sitecore and any composable alternatives you are considering. Bring your top three use cases and ask each vendor to walk through how their solution would handle them — not in a generic demo, but with your data and your constraints. Moreover, ask each vendor for two reference customers at your scale and call them. Reference calls in week three are far more valuable than reference calls in month six because you still have time to act on what you hear. Gartner’s research on plateformes d'expérience numérique is also a useful third-party lens for sanity-checking vendor claims.
Week 3 deliverables: three-year TCO model for three paths, structured vendor conversations complete, reference calls done, vendor scorecard updated.
Week four is where the Sitecore AI decision plan becomes a decision. The core team meets on Monday to review the TCO model, the vendor scorecard, and the use case priorities against the decision criteria from week one. By Wednesday, the team has a directional recommendation. By Friday, the recommendation is documented, signed off by the sponsor, and ready to communicate to the broader organization.
The recommendation should be specific: which path (stay, migrate, compose), which use cases go first, what the 90-day pilot looks like, and what budget and team are required. Additionally, document the open questions and the assumptions behind the recommendation — these will guide the next phase of work and protect the decision when stakeholders push back. Finally, draft a short communication to the broader organization that explains the decision, the rationale, and what happens next. Clear communication in week four is what makes the decision stick. If the decision involves a platform migration, our service de migration CMS et DXP can help scope the next phase.
Week 4 deliverables: directional decision documented, 90-day pilot scoped, sponsor sign-off, communication plan ready.
At the end of a disciplined Sitecore AI decision plan, you will not have a perfect answer. You will have something more useful: a directional decision the organization can act on, with clear next steps and explicit assumptions. Specifically, you will have a one-page decision brief, a current-state inventory, a prioritized list of AI use cases, a three-year TCO model, vendor scorecards with reference calls, a 90-day pilot plan, and a communication ready for the broader organization.
What you will not have is a fully validated business case, a signed contract, or a finished implementation plan. Those come next. However, you will have eliminated the worst failure mode in enterprise platform decisions — endless analysis with no commitment. Furthermore, you will have built the cross-functional alignment that makes the next phase faster. In every engagement we have run, the teams that finished the 30-day Sitecore AI decision plan moved through the following 90 days more decisively than teams that spent six months evaluating.
For external validation of the technical and financial side of the decision, many clients add a two-week independent audit at the end of week four. We run vendor-neutral audits across all eight major CMS and DXP platforms — including detailed Sitecore AI assessments. You can read more about the broader context in our pillar on the Sitecore AI decision.
The Sitecore AI decision plan needs three roles to succeed: a sponsor, a lead, and a core team. The sponsor is typically the CMO, CIO, or VP of Digital — someone with budget authority and the political weight to enforce the 30-day timeline. The sponsor does not run the process day to day, but they unblock it when it stalls and they sign off on the final recommendation.
The lead is the person who runs the process. This is usually a senior product manager, enterprise architect, or director of digital platforms. The lead should have enough technical depth to challenge vendor claims and enough business context to translate use cases into value. Crucially, the lead must be willing to make a recommendation in 30 days, even with imperfect information. If your candidate lead is uncomfortable with that constraint, find someone else — the timeline will not survive a perfectionist.
The core team is 3-5 people drawn from IT, marketing, editorial, and analytics. Each member commits roughly 30% of their time for four weeks. Therefore, before kickoff, get explicit approval from each member’s manager so the time is protected. In our experience, the teams that struggle with the Sitecore AI decision plan are not the ones with the wrong people — they are the ones whose people get pulled into other priorities mid-process. Protecting the team’s calendar is the single most important thing the sponsor does. At Sengo, we bring two Sitecore MVPs and 50+ vendor-neutral audits to every engagement, but the internal team is what makes the decision stick.
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