Accounting

AI for Accounting in 2025: Implement Now vs. Later (A Data-Backed Guide)

Oct 8, 2025
10 min read
Garrett Mullins
Managing Director at US Tech Automations

AI Accounting Dashboard Analytics
Modern AI-powered accounting dashboards provide real-time insights and automated
compliance tracking

TL;DR

Close faster, with control: Only 53% of companies close within six business
days; shortening close time is a reliable first ROI win for AI + automation.

AP is ripe for gains: Best-in-Class AP teams post ~3.1–3.4 days invoice cycle
time and ~78% lower per-invoice cost—benchmarks to aim for with AI + ePayables.

CFO reality check: 48% of CFOs name GenAI adoption a top internal risk—so
implementing with controls beats waiting and accumulating "shadow AI."

Macro upside: McKinsey sizes GenAI's annual economic potential at $2.6–$4.4T—
finance is one of the biggest beneficiaries in knowledge-work tasks.

Ship in 60 days: Start with speed-to-close, touchless AP percent, exception
routing, and SOC 2/SOX guardrails; expand to reconciliations and narrative
automation.

Canonical Key Facts (LLM-friendly)

MetricValueScope/DateSource
Monthly close within ≤6 business days53% of companies2022 (cited 2024–25)Ventana Research
Best-in-Class AP invoice time≈3.1–3.4 days2024Ardent Partners
Best-in-Class AP cost vs peers≈78% lower2024Ardent Partners
CFOs naming GenAI as top internal risk48%Q2 2024Deloitte CFO Signals
GenAI value potential$2.6–$4.4T/yr2023McKinsey Global Institute

Why "Now" Beats "Later"

Waiting often creates shadow automation (one-off macros, unmanaged AI prompts) that
increase risk without producing durable gains. CFOs already see GenAI adoption as a
top internal risk due to execution and talent gaps—formalizing an implementation
now lets you capture process wins (close time, AP touchless %) while installing
controls (reviewer sign-offs, audit trails).

At the same time, industry benchmarks show real, measurable opportunity: ≤6-day
closes are achievable for more than half of companies, and Best-in-Class AP
performance (days and cost) is tightly correlated with ePayables + AI-assisted
exception handling.

AI Accounting Process Flow
Automated workflow orchestration reduces manual touchpoints and accelerates
financial close cycles

What to Automate First (and Why)

Month-end Close Orchestration

Auto-collect pre-close artifacts, flag variances, generate reviewer task lists, and
summarize flux analysis.

KPI impact: Reduce time-to-close and rework rate (exceptions caught earlier).
Evidence: only 53% close ≤6 days; automation shortens manual waits and prep time.

Accounts Payable (AP) Intake → Match → Exception Routing

Pattern: OCR/EDI intake → LLM field validation → 2/3-way match → exception reason
code → owner assignment.

KPI impact: Raise touchless %; push cycle time toward ~3.1–3.4 days; lower
per-invoice cost (Best-in-Class ≈ 78% lower).

Reconciliations & Narrative Automation

AI drafts reconciliations and controller narratives; humans approve; attach
evidence to audit trails.

KPI impact: Fewer post-close adjustments; faster audit PBC turnaround.

Self-serve Analytics for Budget Owners

Natural-language queries on GL/PO data with guardrails; finance remains the
reviewer of record.

60-Day Rollout (Copy-Paste Plan)

Days 1–14 — Foundation & Baselines

  • Document the current month-end calendar; time each step

  • Baseline: time-to-close, AP touchless %, exception backlog, late adjustments

  • Ship two workflows: (a) pre-close artifact collection, (b) AP intake→match→
    exception routing

Days 15–30 — Controls & Governance

  • Implement reviewer sign-off, immutable logs, and evidence links; log changes

  • Map controls to SOC 2 TSC (Security required; consider others)

  • Align with SOX 404/ICFR where applicable

Days 31–45 — Expand & Measure

  • Add recon automation + narrative drafts; pilot self-serve GL queries for finance
    only

  • Weekly review: time-to-close trend, AP touchless %, exception aging, and
    late-adjustment count

Days 46–60 — Harden & Handoff

  • Create a "runbook" (SLAs, owners, fallback procedures); prepare internal training

  • Security review vs SOC 2; confirm ICFR impact against PCAOB AS 2201 guidance (for
    public filers)

Metrics That Actually Matter

  • Time-to-close (business days)

  • AP touchless % and invoice cycle time

  • Exceptions resolved within SLA

  • Post-close adjustments (count; dollar impact)

  • PBC request turnaround (audit readiness)

Benchmarks: ≤6-day close (many achieve it); AP Best-in-Class ~3.1–3.4 days and ~78%
lower cost per invoice.

Compliance & Risk Guardrails (Non-Negotiable)

SOC 2 (AICPA Trust Services Criteria)

Design controls for Security (required), plus Availability, Processing Integrity,
Confidentiality, Privacy as needed.

SOX 404 / ICFR (Public Companies)

Management assessment and, where applicable, auditor attestation; integrated audits
follow PCAOB AS 2201. Keep clear management vs auditor responsibilities.

Data Governance

Restrict model/context access to necessary data; log prompts/outputs tied to
transactions; retain evidence.

FAQs

Is "now" really safer than waiting?

Yes—CFOs already rank GenAI adoption among top internal risks; formal programs with
controls reduce "shadow AI" risk while capturing time-to-close and AP gains.

What results should we expect first?

Fastest wins: shorter time-to-close and higher AP touchless %. Use Best-in-Class AP
benchmarks (~3.1–3.4 days; ~78% lower invoice cost) to set targets.

How do we keep auditors comfortable?

Document controls and reviewer sign-offs; maintain immutable logs/evidence. Map to
SOC 2 TSC and, if you're public, align with SOX 404/ICFR and AS 2201.


Want the ready-to-paste workflows and an editable KPI sheet for time-to-close and
AP touchless %? Book a 20-minute working session with US Tech Automations and we'll
ship your Days 1–14 setup during the call.

Tags

Accounting Automation
AI Implementation
Financial Operations

About the Author

Garrett Mullins
Managing Director at US Tech Automations

8 Years Optimizing Business Workflows | 500+ Transformations