NewsCFOCrew named an OpenAI Select Partner

Reliable output with a clear review trail

AI solutions for finance and accounting teams

Strengthen reporting, controls, planning, finance operations, and responsible AI adoption.

Start with the operating constraint.

The right answer may involve workflow design, training, AI, finance, or a combination. Technology comes after the business problem and decision rights are understood.

  • Slow close and reporting cycles
  • Manual analysis and repetitive reconciliations
  • AI experiments without finance controls
  • Pressure to deliver more insight with limited capacity

Concrete use cases

See the problem, workflow, review, and result together.

Each use case belongs to a specific operating problem for finance and accounting teams. The visible output connects to the workflow, review point, and business result.

Revenue$184K+8.4%
Cash$92K-12%
AR > 60$31KReview
Why is cash down when profit is up?

Receivables increased by $24K and two annual insurance payments cleared this month.

P&L, cash flow, and AR aging checked

Use case 01

Finance and accounting assistant

Accounting reports become plain-language questions and source-aware explanations.

  1. 01Approved reports
  2. 02Explain and analyze
  3. 03Finance review
  4. 04Owner-ready brief
Human review

A finance professional validates the source reports, interpretation, and any external communication.

Business result

Accounting reports become plain-language questions and source-aware explanations.

Runway scenariosNot releasable
10.9Board plan
8.8Signed offers
8.2Downside
2.1 months already committed outside the plan

Use case 02

Investor update and runway

The model exposes a 2.1-month gap between the presented plan and signed commitments.

  1. 01Nine source files
  2. 02Deterministic model
  3. 03Claim review
  4. 04Investor update
Human review

Leadership reviews assumptions, signed commitments, scenarios, and every claim before release.

Business result

The model exposes a 2.1-month gap between the presented plan and signed commitments.

Matter profitability brief60 claims traced
Corporate41.8%
Real Estate35.4%
Disputes26.9%
Halloran Industries-$365K
Claim C041 resolves to source rows and calculation

Use case 03

Matter profitability brief

A high-revenue client is shown to be loss-making, with every number traceable.

  1. 01Firm source systems
  2. 02Calculate economics
  3. 03Partner review
  4. 04Monthly brief
Human review

Firm leadership confirms definitions, source rows, calculations, and the management conclusion.

Business result

A high-revenue client is shown to be loss-making, with every number traceable.

Use-case register8 active
Internal summaryApproved
Client data analysisReview
External commitmentRestricted

Use case 04

AI use-case register

Ownership, data boundaries, review status, and decision rights remain visible.

  1. 01Use-case intake
  2. 02Classify and control
  3. 03Owner approval
  4. 04Monitor and reassess
Human review

Assigned business, security, legal, and data owners approve or restrict each proposed use case.

Business result

Ownership, data boundaries, review status, and decision rights remain visible.

Choose an assessment, an implementation, or a broader program.

Begin with the level that matches your current need and capacity. Each engagement is tailored to the workflow, systems, risk, and people involved.

01

Assess

Finance AI Opportunity and Controls Scan

Best forCFOs, Controllers, and finance leaders who need a defensible starting point

Map high-value finance use cases, data boundaries, review requirements, and the first pilot worth testing.

Typical timeframe2 to 3 weeks

What you receive

  • Finance opportunity map
  • Risk and controls screen
  • Prioritized pilot recommendation
  • 90-day roadmap
What you can seeOpportunity map, control screen, and pilot brief
Business resultA practical decision about where to begin and what not to automate.
Discuss a finance scan
02

Implement

Focused implementation

Finance Workflow Pilot

Best forTeams ready to improve one recurring reporting, analysis, close, or review workflow

Design and test one controlled workflow using approved source data, structured AI preparation, and a clear reviewer checkpoint.

Typical timeframe4 to 8 weeks

What you receive

  • Working workflow demonstration
  • Source and review design
  • Test cases and acceptance criteria
  • Implementation handoff
What you can seeFinance assistant, review queue, and source-linked output
Business resultA visible, testable workflow tied to a measurable finance outcome.
Explore a workflow pilot
03

Scale

Finance AI Enablement Program

Best forFinance organizations building repeatable capability across roles and processes

Combine role-based training, workflow standards, governance, and a sequenced portfolio of finance use cases.

Typical timeframe3 to 6 months

What you receive

  • Role-based training
  • Finance AI playbook
  • Use-case portfolio
  • Governance and adoption cadence
What you can seeAdoption dashboard, workflow library, and governance register
Business resultA finance team that can use and review AI-assisted work consistently.
Discuss team enablement

No invisible jump from idea to production.

The implementation is made understandable before systems are connected or people are asked to change how they work.

Bring one real workflow

Start with the current people, inputs, decisions, systems, and friction.

Make the result visible

Show the proposed interface, AI preparation, human review, and business output.

Test inside boundaries

Use approved data, defined acceptance criteria, and explicit release decisions.

Transfer capability

Document the workflow, train the people, and establish monitoring and support.

The client, CFOCrew, and AI each have a defined role.

Scope changes by engagement, but consequential decisions remain with accountable people and implementation claims remain evidence-based.

Your team owns

  • Business priorities and final decisions
  • Approved source data and system access
  • Subject-matter review and acceptance

CFOCrew delivers

  • Workflow and control design
  • Implementation, testing, and documentation
  • Training and responsible handoff

AI supports

  • Structured preparation and drafting
  • Classification, retrieval, and analysis
  • Exception and missing-information signals

Continue from sector context to the capability you need.

These pages explain the implementation, governance, training, and finance capabilities behind the sector packages.

Bring one real problem and the current way the work gets done.

We can identify the right engagement level, the evidence needed, and the smallest responsible next step.

Discuss the right package