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Industries / Finance teams

AI adoption for finance teams. Same-day answers from your ERP.

Reports wait on the one person who knows the system, and month-end eats the team. We connect AI to your ERP read-only, check every answer against the books, and keep the controller in charge.

Finance dashboard built on checked ERP data
WHERE MOST TEAMS START

Ad hoc reports from the ERP

Recurring management reports

The short answer

How can finance teams adopt AI safely?

Finance teams adopt AI safely by connecting it to the ERP with read-only access first and checking its answers against the books, such as the trial balance, before anyone relies on them. The controller asks a question in plain language, AI pulls the data, and the controller checks it. Write steps only come later, with sign-off.

  • Ad hoc reports from the ERP
  • Recurring management reports
  • Finance policy and procedure questions
AI adoption workflow

Plan, build and run for finance teams, one workflow at a time.

  1. 01PLAN

    Assess

    Map the ad hoc reports and month-end steps that wait on one person.

    Service: AI Assessment and Roadmap
  2. 02PLAN

    Get the data ready

    Build a reporting layer on the ERP, tied to the trial balance.

    Service: Data Readiness for AI
  3. 03PLAN

    Set the rules

    Keep financial data in approved accounts and check answers before use.

    Service: AI Policy and Governance
  4. 04BUILD

    Connect the ERP

    Read-only access, with plain-language questions and answers checked against the books.

    Service: Connect AI to Company Systems
  5. 05BUILD

    Automate reports

    Recurring management reports and commentary drafted for the controller to review.

    Service: Document and Reporting Automation
  6. 06RUN

    Support

    Keep answers tied to the books as accounts and reports change.

    Service: Ongoing AI Support
Use cases

Three AI use cases for finance teams.

Each example shows the pain point, how AI was put to work and the outcome, with a person signing off.

Use case 1 of 3

Ask your ERP in plain language

Team: Finance team

The pain pointThe controller exported data and rebuilt it in a spreadsheet for every ad hoc request. One to three hours each, often days in the queue.

The implementationAI is connected read-only to the ERP. People ask the question in plain language, AI pulls the data, and the controller checks it against the books.

The outcome15 to 30 minutes per request, typically. Same-day answers instead of days.

Use case 2 of 3

Recurring management reports

Team: Finance and FP&A

The pain pointThe same monthly reports and commentary were rebuilt by hand at every close.

The implementationReports are generated from the reporting layer in the team's template, with draft commentary, saved for review.

The outcomeLess time on assembly, more on analysis, with the controller signing off.

Use case 3 of 3

Finance policy questions

Team: Finance and operations

The pain pointPeople asked the controller how to code expenses or follow the close checklist.

The implementationA knowledge assistant answers from the finance manual and procedures, citing the page.

The outcomeFewer interruptions and more consistent answers.

Success story

What AI adoption looks like for finance teams.

CLIENT STORY

A finance team on a mid-size ERP

The challengeEvery ad hoc report went through the controller, who exported data and rebuilt it in spreadsheets.

What we didWe connected AI to the ERP with read-only access and checked every answer against the general ledger before anyone used it.

Results
Read-only

access, checked against the general ledger

1 to 2h

back per ad hoc request, typically

Time figures are our estimates from typical requests.

Start safely

Where to start, and what we protect.

Where most teams start

First workflows worth changing

  • Ad hoc reports from the ERP
  • Recurring management reports
  • Finance policy and procedure questions
What we protect

Rules agreed before anything goes live

  • Read-only access to the ERP first
  • Answers checked against the books before use
  • Financial data stays in your own accounts
FAQ

AI for finance teams, answered.

Can't find your question? Ask it on your strategy call.

Can AI change entries in our ERP?

Not at first. Access starts read-only, and any write step comes later, one task at a time, with sign-off.

How do we know the AI answers are right?

We check them against known numbers, such as the trial balance or general ledger, before anyone relies on them.

Do we need a data warehouse first?

Not always. For many questions the ERP is enough. A warehouse helps when answers need several systems or long history.

We run NetSuite. Can you help?

Yes. NetSuite work runs through our sister practice, houseblend.io.

Ready when you are

See what plain-language ERP answers look like for your team. Start with a strategy call.

A free 30-minute AI Strategy Call with an AI adoption specialist. No sales pitch, just a clear look at the one workflow worth starting with.

Free, no commitment. We reply within one business day.