Summarize this blog post with:
Most Anaplan partner evaluation checklists look the same, which is the problem. Whether the review is being run by a CFO, a transformation lead, a VP of FP&A, or the head of an Anaplan CoE, the sharper questions tend to look like this.
| What most RFPs ask |
The sharper question to ask |
| How many certified Model Builders? |
Who holds the AI Admin role on day one? |
| Show us your AI capability slide |
Show us three Anaplan AI deployments that remained in active use beyond the initial rollout. |
| What is your delivery methodology? |
How do you handle semantic authoring for AI-ready models? |
| Timeline to go-live? |
Timeline to a measured decision moved? |
Each one is built for a first working session. If the partner cannot answer inside a live example on the first working call, that itself is the answer.
1. Who owns the AI Administrator role, and how does it fit your existing governance?
The AI Administrator role gives access to Agent Studio and controls how Anaplan AI capabilities like Anaplan Analyst and CoModeler are configured and managed. Underlying user data access still follows your existing model permissions, which is a distinction generic SIs regularly get wrong in the first workshop. The best Anaplan AI partners will walk you through who they think should hold the role, how it fits your existing governance model, and when that ownership needs to be established. Ask for the RACI. If they hand you one, keep talking.
2. How do you curate line items instead of whole models?
Anaplan's own Analyst best-practice guidance is to keep the scope narrow, one use case and a curated set of key line items rather than an entire model. Point a Custom Analyst at a full demand planning model and you get confident, wrong answers that kill trust in a fortnight. A strong Anaplan implementation partner will walk you through a curation worksheet from a live client. Ask to see one. Our Anaplan Co-Modeler breakdown shows how this looks in practice.
3. What is your semantic authoring standard?
"Revenue" teaches an agent nothing. "Total sales revenue recognised by product, region and month, net of returns" teaches it what it needs. A strong Anaplan consulting partner will typically budget time for semantic descriptions, version them, and treat them as a delivered artefact rather than an afterthought. If the answer is a vague mention of standard field descriptions with no versioning or review process, you are looking at an SI, not an Anaplan AI consulting partner.
4. How does your implementation approach differ between Polaris and Classic?
Ask the partner how they plan to handle Analyst synchronization on your calculation engine, how often the agent will refresh against the underlying model, and what their process is when structural model changes happen mid-programme. A partner who cannot explain the difference in your context is a partner whose agents will lose user trust in week two. This is where most Anaplan implementation services quietly fail.
5. Where do you publish the question boundary?
Custom Analyst answers descriptive queries today. Single value, ranking, time series, yes or no. It does not yet answer "why" or "what if." Serious Anaplan consulting services publish that boundary on day one and route causal work to complementary paths like PlanIQ. Partners who oversell the boundary lose the sponsor after the second bad answer.
6. Do you use CoModeler for velocity, and still review every artefact?
CoModeler is grounded in DISCO, the Planual, and a decade of Anaplan modelling guidance, and it is human-in-the-loop by design. The best Anaplan AI partners run every generated build plan through an architect review and keep the auto-generated documentation as an onboarding asset.
Ask how they use CoModeler on a live build, what they take as-is, and what they always route through architect review. A partner who has a considered answer is doing the work.
7. How do you decide between an Anaplan Application and a custom build?
Anaplan positions its pre-built Applications as a faster path than a custom build for the workflows they cover, which for many teams is the difference between a multi-quarter build and a rollout inside a quarter. A partner who defaults to a full custom build for every workflow is often billing you for scope that Anaplan Applications already ship, while a partner who forces every problem into a pre-built Application will hit the ceiling of what those apps can flex to. Custom Analyst is a separate lever, configured on top of custom apps or models where the planning logic genuinely needs it. The right answer is a considered split. Our Anaplan application guide has the split.
8. Who owns the data layer feeding the agent?
An agent inherits every integration defect underneath it, which is why 63% of organisations either lack or are unsure they have the right data management practices for AI. Ask the partner where responsibility sits for the data feeding your Anaplan agent: source integrations, data quality, refresh schedules, mappings, metadata and ongoing changes to the model. If their scope stops at the Anaplan model, that is not automatically a problem. But they should be able to tell you exactly what sits outside their scope, who owns it, and what dependencies the agent will have on it.
9. What does your adoption loop look like after go-live?
A serious Anaplan AI partner will build a structured enablement plan into the programme, covering the kick-off, day-to-day support through the early adoption window, and usage monitoring in the months after go-live. Partners who staff the full loop tend to see sustained usage past the initial rollout window, which is where most abandoned pilots quietly slip. Partners who bill the launch and leave see the pattern MIT NANDA documented: across the enterprise GenAI deployments it examined, roughly 95% produced no measurable P&L return. Ask for the enablement calendar in writing.
10. How do you tie every agent to a decision and a number?
An insight without a recommended action and a quantified impact is not a deliverable. The best Anaplan AI partners start by asking you which numbers the business is already measured on, agree the baseline before build, define the target movement upfront, and instrument the agent to report against it every quarter. Whether the KPI is margin recovered, days of cash freed, forecast error reduced, or something specific to your industry, the discipline is the same. What they will not do is fall back on questions answered or sessions logged as success metrics.
Polestar Analytics is an Anaplan implementation partner building AI-enabled connected planning solutions for finance and supply chain teams, and is now the preferred global AI delivery partner for Anaplan CoModeler and Anaplan Agent Studio.
In practice, that means running enterprise Anaplan programmes end to end for finance and supply chain teams: connected planning implementations, FP&A and supply chain rollouts, and AI-enabled agent design on Agent Studio and CoModeler. Our proprietary tool Wormhole handles the data engineering layer feeding the agent, from ERP and third-party sources into the Anaplan model, so the data readiness question does not become a second vendor problem. Delivery is led by one of the largest Anaplan teams across APAC and the US, with certified Master Anaplanners and Solution Architects on programme. Our Anaplan practice page has the current work.
Anaplan Certified Master Anaplanners and Solution Architects are the baseline. For AI work specifically, look for partners with hands-on delivery experience on Agent Studio and CoModeler, not just platform certifications. A partner should be able to name the certified individuals who will be on your programme, not just the number they have firm-wide.
Cost varies widely, and any partner quoting a fixed range on a first call is likely underscoping the work. The main drivers are the number of use cases, the state of your source data, whether you are on Polaris or Classic, and whether you are extending an existing connected planning estate or building from scratch. Expect a proper range only after a scoping workshop that covers all four.
Ask for two references in the same industry and roughly the same complexity of planning estate, whether that is FP&A, supply chain, or workforce planning. Ask what use cases they built, what the measured business outcome was, and whether the client is still using those agents today. Certifications travel across industries. Domain fluency does not.
Start with Anaplan's own partner directory, then filter for partners with live Agent Studio and CoModeler delivery experience, not just platform certifications. From that Anaplan partners list, cut down to three based on industry fit and reference clients at similar planning estate complexity. Run those three through the ten questions above on a working call before shortlisting to two.