# Workday Adaptive Planning vs Planful: which do AI models recommend for workforce planning, October 2026

HR AI Recommendation Index, October 2026 Edition, Workforce planning. One of fourteen models named Workday Adaptive Planning first on the direct prompt; two named Planful. Page: https://hr-ai-index.com/planning/workforce-planning/workday-adaptive-planning-vs-planful/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Workday Adaptive Planning | 5% | #4 of 15 | 25% | 36 | 12 of 14 |
| Planful | 5% | #6 of 15 | 7% | 15 | 7 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: workday adaptive planning first (first choices: Workday Adaptive Planning) (alternatives: Anaplan, HiBob, Rippling)
- DeepSeek V4 Flash: planful first (first choices: Abacum, Planful) (alternatives: ADP Workforce Now, Workday Adaptive Planning)
- Muse Glimmer 30B: planful first (first choices: Abacum, Planful) (alternatives: ChartHop, Paylocity, Vena, Visier, Workday Adaptive Planning)
- Claude Haiku 4.5: neither first, one named (first choices: ChartHop, HiBob) (alternatives: Paylocity, Planful, Visier)
- Perplexity Sonar: neither first, one named (first choices: Paylocity) (alternatives: ChartHop, Drivetrain, HiBob, Workday Adaptive Planning)
- Qwen 3.7 Flash: neither first, one named (first choices: ChartHop) (alternatives: Planful, Rippling, Visier)
- Kimi K2: neither first, one named (first choices: ChartHop) (alternatives: Abacum, Paylocity, Planful, Workday Adaptive Planning)
- GLM 4.7 FlashX: neither first, one named (first choices: ChartHop) (alternatives: Anaplan, Paylocity, Visier, Workday Adaptive Planning)
- GPT-6 Luna: neither first, one named (first choices: TeamOhana) (alternatives: Pigment, Workday Adaptive Planning)
- Gemini 3.5 Flash: neither named (first choices: ChartHop) (alternatives: Aleph, Cube, Lative, Mosaic, Pigment, Runn, TeamOhana)
- Grok 4.1 Fast: neither named (first choices: HiBob, Rippling) (alternatives: ChartHop)
- Mistral Small: neither named (first choices: ChartHop) (alternatives: Anaplan, Paylocity, Visier)
- Llama 4 Maverick: neither named
- MiniMax M2.5: neither named (first choices: HiBob) (alternatives: ChartHop, Paylocity, Rippling)

## What the models said about Workday Adaptive Planning

- "Avoid jumping straight to enterprise platforms like ... Workday Adaptive Planning" (DeepSeek V4 Flash, paraphrase prompt, hard negative)
- "$140K–$250K/year; only worth it if already on Workday HCM" (Kimi K2, paraphrase prompt, hard negative)
- "enterprise-level tools like Workday Adaptive Planning or Anaplan are often too expensive, complex, and slow to implement" (Gemini 3.5 Flash, direct prompt, soft negative)
- "I'd usually recommend Workday Adaptive Planning if you want a strong balance of headcount planning, finance integration, and scenario modeling." (GPT-5.4 mini, paraphrase prompt, first choice)
- "Best for organizations already on Workday HCM/Finance... Strengths are ease of use, version control and Workday-native integration." (Muse Glimmer 30B, comparative prompt, first choice)
- "The search results specifically mention this segment as the sweet spot for Workday Adaptive Planning, Planful, Abacum, and Visier." (MiniMax M2.5, scale prompt, first choice)

## What the models said about Planful

- "Planful has a steep learning curve and an unintuitive user interface" (Claude Haiku 4.5, negative prompt, soft negative)
- "For most mid-market B2B companies, Planful or Abacum will deliver the strongest value without enterprise-level costs and complexity." (DeepSeek V4 Flash, direct prompt, first choice)
- "These are the most commonly recommended for mid-market teams that want FP&A grade modeling without enterprise complexity." (Muse Glimmer 30B, direct prompt, first choice)
- "sweet spot for Workday Adaptive Planning, Planful, Abacum, and Visier" (MiniMax M2.5, scale prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.