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Give finance faster answers without weakening control.

Finance is responsible for more than producing the numbers. It must explain what happened, anticipate what comes next, preserve control, and give the business information it can act on.

Dual Logic helps finance teams redesign close, reporting, planning, analysis, and transactional work around AI while keeping evidence, review, ownership, and auditability attached to every consequential step.

A hand writing on a gridded sheet beside a calculator.

What we hear from finance leaders

Three things come up in the first conversation, almost every time.

Analysts acting as data clerks

Most of the week goes to gathering and reconciling, not analysis.

A close that takes too long

The same manual steps every month, and the same late nights.

Auditors will ask

Any automation has to show its evidence, step by step.

AI can reduce that burden, but uncontrolled automation can obscure lineage, weaken review, or make a plausible explanation look like an evidenced one.

Where finance time goes before analysis

  • Gathering
  • Reconciling
  • Validating
  • Reformatting
  • Across ERP, planning, billing, procurement, banking and spreadsheets

The goal is to remove the friction that gets in the way.

Each piece of the work that matters, and the AI support that gives people more time for it.

  • Maintaining accurate books and records

    • Close management
    • Accounts payable and receivable workflows
  • Recognizing anomalies and material exceptions

    • Reconciliation and exception identification
    • Expense and procurement review
  • Explaining performance clearly

    • Variance analysis
    • Management-report drafting
  • Challenging assumptions

    • Forecasting and scenario analysis
    • Policy and accounting-guidance retrieval
  • Forecasting with business context

    • Forecasting and scenario analysis
    • Cash and working-capital analysis
  • Protecting assets and controls

    • Controls monitoring
    • Audit evidence collection
  • Helping operators understand financial consequences

    • Cash and working-capital analysis
    • Variance analysis
  • Giving leadership a reliable view of the business

    • Board and investor-report preparation
    • Management-report drafting

How Dual Logic helps

  1. 1 · Strategy & Vision

    Decide where AI should change how your organization works.

    Map finance workflows, controls, handoffs, and recurring bottlenecks. Decide which work should be automated, assisted, standardized, or left to professional judgment.

  2. 2 · Literacy & Enablement

    Help people get better at the work AI changes.

    Build role-specific fluency across accounting, FP&A, treasury, procurement, tax, audit, and finance leadership. Teach evidence, verification, confidentiality, and control implications alongside technique.

  3. 3 · Design & Build

    Build AI around the work that matters.

    Create reconciliation tools, reporting workflows, finance knowledge systems, analysis assistants, exception-management systems, and integrations with core platforms.

  4. 4 · Operate & Enhance

    Keep the system working. Keep the work getting better.

    Monitor accuracy, exceptions, overrides, lineage, cost, control performance, and reliability. Maintain the audit trail as data, models, and workflows change.

From a client

“They bridged AI education with real business execution.”
Jonas HirshfieldChief Information Officer

Automation that strengthens rather than bypasses finance controls.

What we aim for, and how we would know. Each aim gets a baseline in discovery and a target you agree to.

  1. A faster and more controlled close

    Measured by

    Days to close, with exceptions cleared

  2. Less manual reconciliation and report assembly

    Measured by

    Hours of manual reconciliation and report assembly

  3. More time for analysis and business partnership

    Measured by

    Analyst time on business partnering

  4. Earlier identification of exceptions

    Measured by

    Time from an exception to its review

  5. Consistent reporting with traceable evidence

    Measured by

    Reported figures traceable to source

  6. More responsive planning and forecasting

    Measured by

    Time to update the forecast after a change

Finance work, and what it changed

01 / 04

Questions finance leaders ask first

Before anyone talks about tools.

Contact usContact us
Will AI automation weaken our finance controls?

Well-designed AI automation should strengthen finance controls, because every automated step keeps its evidence and people review each consequential step. The real risk is a plausible explanation that looks like an evidenced one. We design review points and exception routing around that risk, keep each figure traceable to its source, and monitor overrides and control performance after launch.

Will AI replace finance staff?

No, we design AI to take on the gathering, reconciling and reformatting that fill a finance team’s week, not to remove the team. Accountants and analysts keep the judgment: material exceptions, challenged assumptions and what the numbers mean for the business. The aim is more analyst time on business partnering, measured against a baseline taken at the start.

Can Dual Logic work with our ERP and planning tools?

Yes, Dual Logic builds on the enterprise resource planning (ERP), planning, billing, procurement and banking systems you already run, and connects them rather than replacing them. Much of finance’s time before analysis goes to moving data between those systems and spreadsheets. Connecting them removes manual steps and keeps each reported figure traceable to its source system.

Where should a finance team start with AI?

Start with the close and reconciliation work that repeats every month. It follows defined rules and has clear measures, such as days to close with exceptions cleared. Dual Logic maps the workflow, controls and handoffs first, then decides which steps to automate, which to assist and which stay with professional judgment, so the controls are designed in rather than added later.

A single figure standing at a horizon where a warm field of light meets a cool one.

Start with the work your department is accountable for.

We help your team decide where AI belongs, develop the judgment to use it well, build what the work requires, and keep improving it after launch.