Ledger Summit

AI agents built for your finance team.

We design, build and support finance agents inside your systems. They start read-only, prepare work with evidence, and act only within the written authority you grant. We customize them for how your team works, then support and maintain them.

Illustrative workflowNot live data
  • Closereconciliation exception → evidence → named owner
  • Payablesbill → contract check → proposed entry
  • Receivablesagreement → invoice draft → approval
  • Reportingledger → statement → cited variance
  • Controlsexception → rule → action log
  • Ask your booksquestion → sources → caveat

Choose the operating model.

Choose CFO Office if you want Ledger Summit to run an agreed finance operating cadence. Choose implementation if your team will operate the agents and needs a tailored workflow, integration or control model.

Same control modelstart read-only
  • Evidence linked to every exception
  • Written authority before any delegated action
  • Parallel run before production scope expands

What we build

Each agent takes one job your team does today, connected to the systems that job depends on.

Month-end close

Reads: ledger and bank. Produces: close checklist and proposed entries. Acts: written authority only. Measure: days to close and open exceptions.

Accounts payable

Reads: bills, contracts and history. Produces: checked bill queue. Acts: never pays; posts only within written authority. Measure: duplicates and exceptions.

Receivables and billing

Reads: agreements and customer messages. Produces: invoice and reminder drafts. Acts: written authority only. Measure: unbilled work and DSO.

Reporting and FP&A

Reads: ledger and planning inputs. Produces: cited statements and forecast. Acts: never posts. Measure: variance explanation and forecast freshness.

Audit and controls

Reads: transactions, policies and communications. Produces: exception queue and audit support. Acts: never changes bank details. Measure: material exceptions found.

Ask your books

Reads: permitted sources. Produces: a cited answer with caveats. Acts: never changes data. Measure: answer evidence and escalation rate.

Details for your CFO or controller

Month-end close

Runs the close checklist, reconciles bank and balance-sheet accounts, and prepares accruals, prepaids and fixed-asset entries.

Accounts payable

Captures bills from email, checks each against contracts, purchase orders and payment history, and catches duplicates, overbilling and suspicious bank-detail changes.

Receivables and billing

Issues invoices from contracts and schedules, ages receivables, reads customer emails, and drafts collection notes and credit memos.

Reporting and FP&A

Monthly close pack, management and board reports, lender packages, budgets, rolling and 13-week cash forecasts, with interpretation of what changed and why.

Audit and controls

Monitors approvals, owner transactions and covenant risk, screens messages for payment fraud, and assembles audit support.

Multi-entity and multi-system

Works across several ERPs and entities at once, with consolidation, intercompany eliminations and multi-currency.

What's included

Everything it takes to put agents to work and keep them working.

  1. Assess

    We map your processes, systems and data, and find where agents save the most time.

  2. Connect

    Secure connections to your accounting system, banks, documents, email and chat.

  3. Build

    Agents set up for your chart of accounts, entities, policies and close calendar.

  4. Support

    Monitoring, updates and improvements for as long as you run them.

Controls, testing and data protection

Your rules

Approval thresholds, posting limits and segregation of duties decide which narrow actions are delegated. Exceptions always come to a named person.

Tested on your history

Before go-live, the agents run on 12 months of your past data and are measured against what your team actually booked.

Open to review

Every entry, reconciliation and report is open to your team's or auditors' review, with the evidence behind it.

Safe with documents and email

Instructions hidden in a document or email are reported to you, never followed. Every action is logged.

Your data stays yours

Least-privilege connections, data kept separate per client and encrypted, never used to train shared AI models.

Ongoing support

Training for your team, documentation, monitoring and tuning, or we run the agents for you.

How an engagement runs

From the first conversation to agents in daily use.

  1. Step 1

    Discover

    Processes, systems, pain points and goals.

  2. Step 2

    Design

    Agent roles, data access, rules and success measures.

  3. Step 3

    Build

    Connections, agents and controls.

  4. Step 4

    Pilot

    Run on your history, or in parallel with your team.

  5. Step 5

    Launch

    Go live step by step, with training.

  6. Step 6

    Operate

    Monitoring, tuning and support.

Who it's for

Built for the people who own the numbers.

Owners and CFOs

Finance leadership without growing headcount, and answers without waiting for month-end.

Controllers and finance teams

Hand repetitive close and review work to agents and keep your team on judgment calls.

Accounting and bookkeeping firms

Serve more clients at higher quality, with agents running each client's books.

Multi-entity groups

One consistent close, intercompany and reporting across entities and systems.

Questions about implementation

Do we own the AI agents you build?

The agents are configured for your business and run on your accounts and systems. We agree ownership of custom work, data and configurations in the engagement terms before we start.

Do the agents need an accountant to review their work?

Not line by line. We test against your historical close and run in parallel. Your controller reviews exceptions; the agent may only take the narrow actions in the signed authority matrix. Everything stays open to review.

Which systems can you connect?

Available now: QuickBooks Online, Gmail, Google Drive and Microsoft Teams. Through official API or scheduled export at onboarding: Xero, NetSuite, Sage Intacct, Outlook, SharePoint, Slack, banks, payroll, payments and documents. Other systems are assessed on request.

How do you keep the agents from making costly mistakes?

They work within approval thresholds, posting limits and segregation of duties you set. Every action is logged with its evidence, anything outside the rules comes to you, and we measure accuracy on your own history before go-live.

How is our data handled?

Least-privilege connections; data kept separate per client and encrypted; never used to train shared AI models.

Let's find the first agent worth building

Tell us how your finance work runs today. We'll show you where agents save the most time and what it takes to get there.