Ricky-7-Yan/intelligent-audit-system
AuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery. observed · 2026-08-28
Health v2 · maintenance only
60/100
- Activity 97
- Release rhythm 35
- Longevity 22
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 309
- days_rel: n/a
- days_push: 21
- n_releases_24m: 0
Adoption not part of the score
1166 stars · 110 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AuditPilot is an enterprise AI agent workbench for audit delivery, combining evidence-grounded agentic RAG, governed tool execution, evaluation harnesses, human review, and remediation tracking in one traceable workflow. It ships with six built-in audit templates (SOX ITGC, ERP access, data security, change management, backup/BCP, third-party risk) built on Python and FastAPI.
Use cases
- run SOX ITGC audits with AI-assisted evidence collection
- build auditable enterprise AI agents with human review gates
- evaluate agent outputs with an evaluation harness before release
- track audit findings and remediation tasks to closure
- ground LLM answers in page-level evidence citations
- audit ERP access and segregation-of-duties conflicts
- manage control matrices and sampling plans with versioned templates
When to choose
- you need evidence-grounded, traceable AI agents for regulated audit or compliance work
- you want built-in evaluation harnesses and human-in-the-loop review before delivering AI outputs
- you need governed tool execution with RBAC, tenant isolation, and audit logs
- you want out-of-the-box audit templates covering SOX, ISO27001, COBIT, and data-security standards
When to avoid
- you need a general-purpose chatbot or conversational assistant rather than structured audit workflows
- you require semantic vector search as the primary retrieval method (vector search is optional; core retrieval is TF-IDF + keyword)
- you need a mature product with proven production deployments and quantified accuracy claims
- you want a lightweight library to embed in an existing app rather than a full workbench application
Facets
application · maturity active
agent-framework rag llm-inference mcp web-framework search-engine testing monitoring auth authorization rate-limiting caching chatbot artificial-intelligence large-language-models erp legal developer-tools self-hosted python self-hosted audit-automation human-in-the-loop evaluation-harness evidence-grounded fastapi knowledge-graph llmops multi-agent sox-itgc remediation-tracking ai-agents retrieval-augmented-generation audit web-server docker
1 source
- readme: https://github.com/Ricky-7-Yan/intelligent-audit-system · fetched 2026-08-28 · ca7203b96b3b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Ricky-7-Yan/intelligent-audit-system | main | 60 |
For agents
markdown · JSON · MCP: product_card(name="Ricky-7-Yan/intelligent-audit-system")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem