Buyer Process & RFP7 min read

How to Run an Enterprise CMS Proof of Concept in 6 Weeks

Most enterprise CMS proofs of concept die the same way: eight weeks of vendor demos, a slide deck that scores every product 9 out of 10, and a signature on a contract nobody can defend six months later when the migration stalls.

Published July 20, 2026

Most enterprise CMS proofs of concept die the same way: eight weeks of vendor demos, a slide deck that scores every product 9 out of 10, and a signature on a contract nobody can defend six months later when the migration stalls. The demo environment was seeded with clean data, the hard workflows were never wired up, and the "governance" checkbox was ticked on a feature nobody actually tested. The stakes are not small. A replatform off Adobe Experience Manager or Sitecore is a multi-year, multi-million-dollar commitment, and a PoC that proves nothing is worse than no PoC at all, because it manufactures false confidence.

This guide reframes the PoC as an engineering exercise with a frozen acceptance gate, not a sales demo. The pattern is borrowed from how disciplined teams ship AI content workflows: start narrow, build a scored evaluation bench, hold your variables constant, and gate every change against pre-agreed exit criteria. Sanity is the Content Operating System for the AI era, the intelligent backend for companies building content operations at scale, and it makes a good stress test for this method because its behavior lives as structured content you can author, version, and audit. Over six weeks you will produce something honest: evidence, not enthusiasm.

Why the demo-driven PoC fails the enterprise buyer

The default enterprise PoC is a supervised demonstration. The vendor controls the dataset, the scenarios, and the pace, and the buyer is left grading a performance rather than measuring a capability. This is how a legacy DXP with genuine strengths, deep approval workflows, mature marketing-suite integration, and a large partner network, ends up scored identically to a modern composable stack it has almost nothing in common with operationally. Every product looks like it can do everything for forty-five minutes.

The failure mode is structural, not malicious. When success criteria are subjective ("the editors liked the interface"), the loudest voice in the room wins, and the loudest voice is usually the one that watched the best demo. Meanwhile the questions that actually determine total cost of ownership go untested: How long does a schema change take to ship? Can you stage a batch of content across three markets and preview it before it goes live? What happens when finance asks what a year of this costs at real volume?

The reframe is simple to state and hard to do. Treat the PoC like a build, not a bake-off. Define objective exit criteria before the first vendor touches the environment, wire up the workflows that will actually hurt in production, and hold every variable constant so you are comparing systems rather than sales teams. The rest of this guide is a six-week structure for doing exactly that, adapted from the phased, eval-gated discipline that production content and AI teams already use to avoid shipping on vibes.

Weeks 1 to 2: model your business on one narrow, honest use case

Start small. The temptation is to test everything; the discipline is to pick one pattern, the smallest one that still touches your real complexity, and build it end to end. A production field guide for shipping content workflows puts it plainly: pick one pattern, wire up retrieval against your content backend, define a handful of operations, ship it to a dark URL, and stand up trace logging before you invite anyone in. The same logic applies to a CMS PoC. Choose one content type that carries real structure, a product family with variants and market overrides, say, and model it properly.

This is where the first pillar, model your business, gets tested. A legacy DXP builds and manages its schema in-platform, versioned through a package manager rather than source control. Sanity decouples structure from storage: schema lives in code and content lives in Content Lake, the multi-tenant, multi-region content store. That difference is not cosmetic. In the PoC it shows up as how fast a developer can change the model, review it in a pull request, and ship it without a platform release cycle.

Do not skip the boring part. Model the same use case in each candidate system to the same depth. Import a realistic slice of production content, not the vendor's clean sample set. The goal by end of week two is something honest and unglamorous: one narrow pattern, running on real data, in every system you are seriously considering, with logging in place so you can see what actually happened rather than what the demo implied.

Weeks 3 to 4: automate everything and build the scored eval bench

The acceptance gate is the whole game, and week three is when you build it. Do not wait until the end to decide what "good" looks like. Write a frozen set of representative scenarios, twenty to start, each scored against a rubric you wrote yourself. The bar to advance is the bench staying green. Run it on every configuration change so you are measuring the system, not the day you happened to look at it.

For a CMS PoC the scenarios are operational, not conversational. Ship a coordinated content change across three markets and measure the steps, the approvals, and the time. Roll a change back. Onboard a new brand. Fire the automation that translation, moderation, or compliance enrichment would actually require in production. This is the automate everything pillar under test: Sanity exposes Functions and the App SDK to run these workflows in code, and Content Releases lets you stage and preview batches of content as a unit and ship them together, the enterprise equivalent of branching for editors. Score each system on how much of this it does natively versus how much needs custom development or a professional-services engagement.

Hold the model constant while you tune. When a scenario fails, the first three things that break tell you which layer is weakest; fix that layer and rerun the bench rather than changing five things at once and losing the signal. By end of week four you should have a scorecard populated with numbers, not adjectives: pass rates per scenario, effort per change, and the count of workflows that required escaping the platform to accomplish.

Governance and cost: the two axes vendors never demo

Two things reliably surface after the contract is signed rather than during the PoC, and both belong on your scorecard from day one: governance and cost. Governance is not a feature checkbox; it is whether the people who own a decision can make it without filing a ticket. The strongest pattern here is to treat operational behavior as structured content with role-based edit rights. In Sanity, that means Brand owns voice, Product owns context rules, Support owns escalation, and Compliance owns the never-say list, each editing their own fields with version history, scheduled publishing through Content Releases, rollback, and audit trails, gated by the eval bench in CI. The principle is "author it like content, gate it like code." Test it: can a non-engineer change something they own, safely, without a deploy?

Cost is the axis the vendor deck will not warn you about, and your finance team will. Put cost per unit of work into the scorecard alongside success rate. For a content operation that means license plus implementation plus the ongoing ops burden, and for AI-assisted workflows it means token economics, because as one team put it bluntly, "it absolutely eats through credits." Build-versus-buy pressure is real and legitimate: Walter Colindres at Jack in the Box captured the enterprise instinct, "$200,000 dollars going out the door does not make me feel comfortable for something that we could ultimately kind of build and own and operate for way less over time." A PoC that scores cost honestly gives you the counterargument or confirms the concern, either way with evidence.

Weeks 5 to 6: security, legal, and the governance gate

After the first four weeks you have something honest and, as the field guide notes, an organizational problem. Your security team needs to review the authentication and data-access paths. Your legal and compliance teams need to weigh in on retention, residency, and any AI-generated content going in front of customers. Your content team needs to internalize that the workflows are theirs to own. This phase is explicitly "not optional," and buyers who defer it to post-signature are the ones who discover a blocker during rollout instead of during evaluation.

Run the governance gate against concrete requirements. For compliance posture, confirm the certifications you actually need are in place: Sanity carries SOC 2 Type II and GDPR alignment, with a published sub-processor list and regional hosting options to check against your data-residency obligations. Confirm SSO, granular Roles and Permissions, and Audit logs against your identity and access requirements. Do not accept a roadmap promise as a passed gate; test what is generally available today.

The payoff of the frozen eval bench arrives here. Because your acceptance criteria were written in week three and never moved, the week-six decision is defensible: this system passed these pre-agreed scenarios at this cost with these governance controls verified. That is the artifact you carry into the buying committee, and it is the difference between a PoC that manufactures confidence and one that earns it. The first configuration you ship will not be the one you keep for five years; the discipline of the eval bench is what survives every change after.

Turning the six-week PoC into an RFP-defensible decision

A PoC only pays off if it produces something the buying committee, procurement, and audit can all stand behind. Convert the scorecard into weighted criteria that map to the axes an enterprise actually buys on: governance and control, scale and reliability, composability and integration, total cost of ownership, and migration effort. Give each a weight before you reveal the scores, so the outcome is arithmetic rather than advocacy. The eval bench pass rates, the effort-per-change measurements, and the cost-per-unit numbers slot directly into these rows as evidence.

Be honest about where legacy incumbents win, because credibility is what makes the recommendation survive scrutiny. Adobe Experience Manager and Sitecore bring genuine workflow depth, mature marketing-suite integration, and enormous partner ecosystems; those are real strengths your RFP should credit. The composable case is not that the incumbents are dead. It is that a modern stack evolves the content model without a package-manager release cycle, scales output rather than headcount, and treats content as queryable structured data over a global CDN through GROQ and the Live Content API.

Name the migration plan explicitly. An enterprise does not move off a DXP in a weekend, but it does not need a two-year reimplementation either when structure lives in code and content lives in Content Lake. Sanity's Partner network exists for exactly the large, phased rollouts enterprises run. Frame the decision as a phased migration with reversible early stages, tied to the same eval bench you built, so that go-live is a threshold you cross on evidence rather than a leap you take on faith.

How the PoC axes score: Sanity vs three enterprise CMS approaches

FeatureSanityAdobe Experience ManagerContentful EnterpriseHomegrown / build-your-own
Content model changesSchema-as-code in version control; change the model in a pull request and ship without a platform release cycle. Structure lives in code, content in Content Lake.Schema built and managed in-platform, versioned via package manager rather than source control; changes are dev-heavy and tied to platform releases.API-first with content types configurable in the UI; schema is coupled to storage and editorial UI is limited to extensions.Unlimited flexibility in principle, but every model change carries full development cost and regression risk with no guardrails.
Staged, batched content releasesContent Releases stage and preview batches as a unit, then ship together with rollback, the editor equivalent of branching. Preview before it goes live.Deep, mature approval workflows and content staging; a genuine strength, though configuration and extension are enterprise-dev intensive.Scheduled publishing and releases are supported; batch coordination across environments is more limited than a dedicated release primitive.Whatever you build; typically no native batching or preview, so releases are bespoke and fragile without significant investment.
Governance as editable contentAuthor behavior and rules as structured content with role-scoped fields (Brand, Product, Support, Compliance), version history, and audit trails. Author it like content, gate it like code.Strong role-based governance and audit within the platform's model; changes to that behavior generally route through developers.Roles and permissions plus audit exist at enterprise tier; workflow behavior is largely UI-bound with a ceiling on custom logic.Governance is exactly what you code; strong control is possible but audit, roles, and history must be built and maintained by you.
Multi-brand and multi-marketStudio Workspaces model multiple brands and markets in one Studio; native and integrated translation via Phrase and Smartling plus a native plugin.Robust multi-site and multi-market capabilities with deep localization; powerful but heavy to stand up and adapt.Multi-space and localization supported; automation and workflow customization are constrained to platform extensions.Fully custom, so multi-market is feasible but every locale and brand is added work with no shared foundation out of the box.
Cost per unit of workLicense plus implementation with schema-as-code lowering change cost over time; put cost per conversation and token economics on the scorecard for AI workflows.High license plus implementation and ongoing ops; strong capability, but TCO is the axis that pressures replatform decisions.Predictable SaaS pricing at delivery; costs can climb with seats, API calls, and add-ons at enterprise scale.No license fee, but full build, ops, and maintenance cost lands on your team; the classic build-vs-buy TCO trap over time.
Compliance postureSOC 2 Type II and GDPR alignment, published sub-processor list, and regional hosting options plus SSO, Roles and Permissions, and Audit logs to verify against your requirements.Mature enterprise compliance and controls with a long track record; verify current certifications against your specific obligations.Enterprise compliance certifications available at the enterprise tier; confirm current scope and data residency for your regions.Compliance is entirely your responsibility to build, document, and certify, which is often underestimated in build-vs-buy scoring.

Ready to try Sanity?

See how Sanity can transform your enterprise content operations.