ChatGPT-5 Workflow Analysis: Agentic Service Accelerator in Action

At GhostGen.AI we ran the Agentic Service Accelerator (the 20 prompts pack) through Chat GPT5. All 20 prompts.

Here is an analysis of the results of the Chat GPT 5 run.

We ran the 20 prompts against a single, consistent scenario (Finance – AP in D365 F&O; core process: vendor invoice processing from email → 3-way match → post → exceptions). Full, audit-friendly outputs for each prompt were bundled.

What this demonstrates (re: the point about GPT-5 & multi-step workflows)

• Context carry-over: All 20 prompts use the same systems, rules, and assumptions without restating them, showing sustained context across tasks.
• Structured artefacts on demand: You get a feasibility assessment, bot design, compliance rewrite, exception logic, test plan, Go/No-Go, ROI estimate, HITL framework, and a reusable playbook entry—each formatted for audit/exec use.
• Guardrails observed: Each output surfaces assumptions, “known unknowns,” and self-rated confidence where relevant. Hallucination risk is explicitly flagged in the simulation.
• Decision support, not just text: You can lift sections directly into governance packs (controls, KPIs, risk notes, rollback, evidence tags).

Quick findings (high-level)

• Strong fits: Opportunity discovery (P1), workflow design (P3), exception logic (P8), audit pack skeleton (P15), and playbook entry (P20) were the most directly reusable.
• Where inputs drive variance: ROI (P14) and feasibility (P2) tighten significantly with actual volumes, STP baselines, and vendor mix; current estimates are conservative and marked with confidence.
• Compliance & ethics: Bank-detail changes and PII handling are consistent hotspots; the rewrite in P4 removes risky bot autonomy and reinforces SoD.

Get your copy of the Agentic Service Accelerator from GhostGen.AI use GHOSTBETA20 for 20% discount valid till the end of August.

Best regards RichFM – GhostGen.AI Feed your genius

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