AI-powered Accounting Workflows

Overview

What we deliver

We embed AI models into accounting workflows to classify transactions, match documents, and flag anomalies for human review.

We help finance teams use AI where it adds real value: coding invoices, matching receipts to transactions, drafting accruals, and surfacing unusual entries before they reach the ledger. Our team starts with a review of your data, controls, and current tools, then selects models and platforms that fit your size, risk profile, and budget. We build review queues so AI suggestions are checked by trained accountants, with feedback loops that improve accuracy over time. We keep humans in the loop for judgment work and use AI to handle volume, pattern recognition, and routine checks. We also write clear documentation for auditors so model behavior is transparent. The result is a workflow where your team spends less time on coding and matching, and more time on analysis, review, and client work.

Fit Check

Built for teams like yours

Who it's for

Finance leaders modernizing operations
CPA firms with high client volume
Shared service centers
Controllers reducing close risk
Outsourced bookkeeping providers

Pain points we solve

Slow invoice coding
Missed duplicate or unusual entries
High review effort on routine work
Inconsistent classifications
Limited visibility into anomalies

What's included

Capabilities

Everything we cover in this engagement.

AI-assisted invoice coding
Document matching and extraction
Anomaly and duplicate detection
Accrual and journal suggestions
Vendor and customer master cleanup
Review queue setup
Model monitoring and retraining
Audit documentation

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Assess

We review data quality, volumes, and current controls.

02

Pilot

We run a focused pilot on one workflow to measure accuracy.

03

Integrate

We connect AI tools to your accounting system and review queues.

04

Train staff

We coach reviewers on validating AI output and giving feedback.

05

Scale

We expand to more workflows and monitor model performance.

What you get

Deliverables & outcomes

What you get

Pilot results report
Configured AI workflows
Review queue and dashboards
Model documentation
Training sessions
Quarterly performance review

Outcomes you can expect

Faster invoice processing
Earlier detection of unusual entries
Lower review effort per transaction
More consistent ledger coding
Better data for analysis

Timeline

8 to 14 weeks for first workflow

Engagement

Monthly retainer, Project, Sprint

Tools we use

NetSuite, Sage Intacct, Dext, Vic.ai, Microsoft Azure AI

KPIs we track

Coding accuracy, review time, anomaly catch rate, processing volume, model uptime

Client stories

What clients say

"

Our LCP was 4.8 seconds and Google was punishing us for it. They audited the build, dumped two plugins we did not need, moved hero images to a real CDN, and rewrote the critical CSS. LCP came down to 1.6 seconds within three weeks. Bounce rate on the pricing page dropped by a quarter without us touching the copy.

Sarah K.

"

Two weeks before our seed round we still did not have a defensible model. Their fractional CFO rebuilt our three-statement forecast, pressure-tested the assumptions, and walked me through every line before the partner meeting. We closed 1.4M on the terms we wanted. The investor specifically called out how clean the financials looked compared to the last five decks she had seen.

Hannah B.

Proof