Pith Number

pith:RWVU6VRQ

pith:2026:RWVU6VRQ47OHZVNNCGR5FDHTDC

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A systematic review of generative AI usage for IT project management

Ionut Anghel, Tudor Cioara

A systematic review finds OpenAI GPT dominates generative AI in IT project management through prompt engineering, placing the field at an exploratory stage.

arxiv:2604.21958 v1 · 2026-04-23 · cs.SE · cs.AI

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The analysis reveals a clear dominance of OpenAI's GPT in the included studies but relying primarily on prompt engineering, suggesting that research in this area remains at an exploratory stage.

C2weakest assumption

That the studies retrieved and included via the PRISMA process form a representative and unbiased sample of all relevant generative AI applications in IT project management.

C3one line summary

A PRISMA systematic review concludes that generative AI use in IT project management is dominated by OpenAI GPT models relying on prompt engineering, remains exploratory, and points to three future directions involving specialized AI agents and hybrid human-AI networks.

References

13 extracted · 13 resolved · 0 Pith anchors

[1] Abdelzaher, T., Hu, Y ., Kara, D., et al. (2025). The bottlenecks of AI: Challenges for embedded and real- time research in a data-centric age. Real-Time Systems, 61, 185–236. https://doi.org/10.1007/ 2025 · doi:10.1007/s11241-025-

[2] Y ., Temizel, T 2025 · doi:10.3390/fi16050177

[3] Alliata, Z., Singhal, T., & Bozagiu, A. M. (2024). The AI Scrum Master: Using large language models (LLMs) to automate agile project management tasks. In Agile Processes in Software Engineering and Ex 2024

[4] An extension of HybridSynchAADL and its application to collaborating au- tonomous UA Vs 2025 · doi:10.1007/978-3-031-

[5] AsanaAI. (2026). Get started with Asana AI. https://help.asana.com/s/article/get-started-with-asana-ai Assalaarachchi, L. I., Masood, Z., Hoda, R., & Grundy, J. (2025). Generative AI for software proj 2026 · doi:10.1109/ms.2025.3619936

Receipt and verification

First computed	2026-07-01T01:17:51.181652Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8dab4f5630e7dc7cd5ad11a3d28cf3189d4b568b1c44b8e9ab660f3f949f665a

Aliases

arxiv: 2604.21958 · arxiv_version: 2604.21958v1 · doi: 10.48550/arxiv.2604.21958 · pith_short_12: RWVU6VRQ47OH · pith_short_16: RWVU6VRQ47OHZVNN · pith_short_8: RWVU6VRQ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RWVU6VRQ47OHZVNNCGR5FDHTDC \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8dab4f5630e7dc7cd5ad11a3d28cf3189d4b568b1c44b8e9ab660f3f949f665a

Canonical record JSON

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    "cross_cats_sorted": [
      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2026-04-23T11:10:37Z",
    "title_canon_sha256": "528cf96abc51dff4331f66884cdaec01818678250967fa8b632dbab8fb4ef148"
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  "source": {
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    "kind": "arxiv",
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}