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Finance

Turn Finance Into an AI-Native Decision Engine

Production-grade AI agents that connect financial systems, data, documents, policies, and workflows to help finance teams move faster, strengthen control, and make better decisions.

See How It Works

Production-grade · Human-controlled · Audit-ready

A CRM account card, calendar, call waveform, documents, intent signal, and pipeline connected around a central orb.

One intelligence layer across your finance stack

Shared financial context for every agent, workflow, and decision.

Modern glass business headquarters at dusk with blue and violet light.

Revenue & Transactions context

  • CRM / Customer Records
  • Billing & Invoicing
  • Contract Repository
  • Payment Processing
  • Expense Management

Operations & Spend context

  • ERP / General Ledger
  • Procurement & Spend
  • Payroll / HRIS
  • Purchase Orders

Planning & Performance context

  • BI
  • FP&A Systems
  • Forecasting Models
  • Management Reporting

Knowledge & Control context

  • Policies & Approval Guidelines
  • Historical Board Decks & Memos
  • Email Threads
  • Document Repository
  • Tax Authorities / Public Sources

From Financial Data to Decision Support Financial Visibility · Forecasting · Controls · Transactions · Reporting · Approvals

AI that helps finance understand what changed, why it matters, and what should happen next.

Financial Visibility

Answer questions across cash, KPIs, performance, profitability, risk, and operating metrics using approved financial data.

  1. Answer questions across cash and KPIs
  2. Answer questions about performance and profitability
  3. Answer questions about risk and operating metrics using approved financial data
Forecasting & Variance

Explain changes between actuals, budget, forecast, prior periods, and operating assumptions.

  1. Explain changes between actuals and budget
  2. Explain forecast shifts and changes against prior periods
  3. Explain changes in operating assumptions
Transaction Execution

Automate document-heavy workflows across invoices, contracts, purchase orders, expenses, and payments.

  1. Automate invoice and contract workflows
  2. Automate purchase order and expense workflows
  3. Automate payment workflows
Financial Control

Identify anomalies, policy exceptions, missing information, duplicated activity, and approval gaps.

  1. Identify anomalies and policy exceptions
  2. Identify missing information and duplicated activity
  3. Identify approval gaps
Decision Support

Turn complex financial context into clear explanations, options, recommendations, and management-ready materials.

  1. Turn complex financial context into clear explanations
  2. Prepare options and recommendations
  3. Create management-ready materials
Executive Reporting

Create recurring management summaries, board materials, variance explanations, and decision packs from approved sources.

  1. Create recurring management summaries
  2. Prepare board materials and variance explanations
  3. Build decision packs from approved sources
Representative workflow

Financial Visibility

  1. Answer questions across cash and KPIs
  2. Answer questions about performance and profitability
  3. Answer questions about risk and operating metrics using approved financial data

Action routing stays conditional. Policy and available evidence determine whether work can proceed, needs review, or should pause.

AutoReviewEscalate

From Fragmented Finance Work to Shared Financial Intelligence

Every workflow becomes stronger when it works from the same financial context.

Your existing systems remain the source of truth. The AI layer connects the context, rules, workflows, and decisions around them. Finance sits at the intersection of transactions, policies, operating data, approvals, risk, and management decisions. The AI Finance Operating Layer creates one shared intelligence foundation across these workflows.

One financial context

Transactions, contracts, forecasts, approvals, policies, and operating data remain connected.

One control framework

Rules, approval thresholds, policies, and exception logic are applied consistently.

One decision layer

AI explains changes, surfaces risks, prepares options, and brings relevant evidence together.

One learning foundation

Historical decisions, recurring exceptions, finance expertise, and business outcomes become reusable context.

One audit trail

Every important recommendation, calculation, source, and approval can remain traceable.

The Finance operating layer

The Finance Operating Layer

See how your AI agents work together. Connected systems. Shared financial context. Deterministic controls. Clear human approval.

Connected Systems / Integrations

Finance systems and knowledge

Revenue & Transactions

  • CRM
  • Billing & Invoicing
  • Contracts
  • Payments
  • Expenses

Finance & Operations

  • ERP / General Ledger
  • Procurement
  • Purchase Orders
  • Payroll
  • Treasury

Planning & Intelligence

  • BI
  • FP&A
  • Forecasting
  • Management Reporting

Knowledge & Governance

  • Financial Policies
  • Approval Guidelines
  • Historical Decisions
  • Board Materials
  • Document Repository
  • Public / Regulatory Sources

Representative examples we build for finance teams

Core Agent Architecture

A connected operating layer across your entire Finance function.

Visibility & Intelligence Agents

1
Financial Intelligence Agent

Answers financial questions, explains changes, and surfaces supporting context.

2
Forecast & Variance Agent

Analyzes budget, actuals, forecasts, and period changes that need attention.

3
Anomaly & Audit Agent

Flags unusual activity, duplicates, missing information, and policy exceptions.

Transaction & Execution Agents

4
Contract to Invoice Agent

Extracts approved billing terms and prepares invoices and supporting documents.

5
Collections Automation Agent

Tracks overdue invoices, prepares follow-up, and escalates accounts according to policy.

6
Deal Approval Agent

Checks deal materials and policies, calculates approval tiers, and routes deals.

Reporting & Decision Agents

7
Board Reporting Agent

Builds management and board materials from approved, traceable sources.

8
Executive Finance Briefing Agent

Surfaces important changes, exceptions, risks, and decisions for attention.

9
Decision Support Agent

Combines finance evidence, prior decisions, policies, and context for human review.

Knowledge & Expertise Agents

10
Finance Knowledge Agent

Makes approvals, policies, decisions, exceptions, and team expertise reusable.

11
Digital Twin Finance Agent

Uses senior finance standards and review patterns to help the wider team prepare work.

Shared Finance Platform

Workflow orchestration

Automate document-heavy workflows across invoices, contracts, purchase orders, expenses, and payments.

Shared financial context

Transactions, contracts, forecasts, approvals, policies, and operating data remain connected.

AI reasoning & deterministic logic

Read documents and explain changes; calculate thresholds, apply approval tiers, check routing rules, and validate required fields.

Testing & QA

Validate outputs against official financials.

Human review

Finance professionals review exceptions, approve consequential actions, and own the final decision.

Rollout controls

Expand automation as quality and control are proven.

Actions can run automatically, request review, or pause for an exception based on policy and available evidence.

What each agent does11 full descriptions

Visibility & Intelligence Agents3 agents

  • 1
    Financial Intelligence Agent

    Answers questions across financial and operating data, explains changes, and surfaces the most relevant supporting context.

  • 2
    Forecast & Variance Agent

    Analyzes budget vs. actual, forecast shifts, MoM and YoY changes, and highlights what deserves finance attention.

  • 3
    Anomaly & Audit Agent

    Monitors financial activity for unusual patterns, duplicates, missing information, control exceptions, and policy violations.

Transaction & Execution Agents3 agents

  • 4
    Contract to Invoice Agent

    Reads approved commercial terms, extracts billing logic, and prepares invoices and supporting documentation.

  • 5
    Collections Automation Agent

    Tracks overdue invoices, identifies risk, prepares follow-up, and escalates accounts according to policy.

  • 6
    Deal Approval Agent

    Reads deal materials, cross-validates sources, checks rules and policies, calculates approval tiers, and routes the deal to the right approvers.

Reporting & Decision Agents3 agents

  • 7
    Board Reporting Agent

    Builds recurring management and board materials from approved sources with traceable supporting data.

  • 8
    Executive Finance Briefing Agent

    Creates concise summaries of the most important changes, exceptions, risks, and decisions requiring attention.

  • 9
    Decision Support Agent

    Brings together financial evidence, historical decisions, policies, and business context to prepare a clear recommendation for human review.

Knowledge & Expertise Agents2 agents

  • 10
    Finance Knowledge Agent

    Turns historical approvals, finance policies, executive decisions, recurring exceptions, and team expertise into reusable institutional knowledge.

  • 11
    Digital Twin Finance Agent

    Captures the logic, standards, and review patterns of senior finance professionals to help the wider team prepare work closer to their expected standard.

Primary Users & Outcomes

Finance users and outcomes

Users

  • CFO / VP Finance
  • Controllers
  • FP&A Analysts
  • AP / AR Teams
  • Treasury
  • Finance Business Partners
  • Board & Executive Leadership

Outcomes

  • Faster finance execution
  • Stronger financial control
  • Better decisions
  • Real-time visibility
  • Fewer manual errors
  • Audit-ready workflows
  • Higher finance capacity

Deterministic Where It Matters

Finance needs AI reasoning and rule-based control working together.

Some finance tasks require interpretation. Others require the same answer every time. We design the operating layer accordingly.

AI reasoning

Reads documents Explains changes Summarizes financial context Identifies relevant precedents Drafts reports and communications

Deterministic logic

Calculates thresholds Applies approval tiers Checks routing rules Validates required fields Executes defined accounting and policy logic

Human judgment

Reviews exceptions Approves consequential actions Handles ambiguity Owns final financial decisions

Turn Finance Expertise Into Shared Intelligence

Scale the judgment of your strongest finance professionals.

Much of the most valuable finance knowledge lives in people. How they interpret an unusual variance. How they challenge a deal. Which precedent matters. Which questions they ask before approving something. How they prepare an executive explanation. We turn that expertise into structured context, rules, reasoning flows, review criteria, and agent workflows that the broader team can use. Expert judgment → finance logic → reusable intelligence → stronger execution

Primary Users & Outcomes

Outcomes

Faster finance execution

Reduce manual gathering, reconciliation, document review, and reporting work.

Stronger financial control

Apply policies, thresholds, approvals, and exception logic more consistently.

Better decisions

Bring the right financial context, explanation, evidence, and historical precedent into the decision.

Real-time visibility

Give finance leaders faster access to current performance, anomalies, risk, and open questions.

Fewer manual errors

Automate repetitive calculations, cross-checks, and data validation.

Audit-ready workflows

Maintain source traceability, approval history, and decision records.

Higher finance capacity

Let finance professionals spend more time on judgment, planning, and business partnership.

Where Could Your Finance Team Turn More Data Into Better Decisions?

Bring us one high-value finance workflow.

Forecasting. Variance analysis. Invoice processing. Deal approvals. Collections. Reporting. Reconciliation. Financial controls. We’ll map the workflow, connect the relevant systems and rules, and define the first production AI agents needed to create measurable business impact.

One Finance Command Center

Give finance one clear view of what requires attention.

Finance workspace
Shared context
Decision view

Context before the next step

  • What changed?

    Which numbers, assumptions, transactions, or forecasts moved?

  • Why?

    What drivers explain the change?

  • What looks unusual?

    Which anomalies, discrepancies, or policy exceptions deserve review?

  • What requires approval?

    Which transactions or decisions need finance, legal, tax, or executive involvement?

  • What should happen next?

    What actions, questions, or follow-ups should be prepared?

  • What evidence supports it?

    Which system, document, policy, or historical decision supports the recommendation?

  • Who decides?

    Where does finance judgment or executive approval remain required?

Grounded work. Sources and action context stay visible beside the decision.

Illustrative finance action view with evidence and review points

How We Work

Start with one workflow. Build the financial intelligence to scale.

  1. 01
    One workflow connected to the shared foundation

    Start

    Choose one high-value finance process. Map the systems, documents, rules, approvals, owners, success measures, and control requirements.

  2. 02
    Additional workflows connected to the same foundation

    Expand

    Connect shared financial context and activate additional agents and workflows on top of the same foundation.

  3. 03
    Connected workflows running together

    Run

    Validate outputs against official financials, refine the logic with finance experts, and expand automation as quality and control are proven.

Human + Machine, One Intelligence.

AI accelerates the work. Finance keeps control.

AI agents gather, reconcile, analyze, explain, and prepare. Deterministic controls apply financial rules where consistency matters. Finance professionals review exceptions, approve consequential actions, and own the final decision.

  • Financial systems remain the source of truth
  • Rules-based decisions remain deterministic where required
  • AI outputs remain grounded in approved financial context
  • Human approval stays in the workflow
  • Sources, decisions, and exceptions remain traceable

Evidence sets the route

Automation is conditional. The action, its sources, and the team’s policy determine what happens next.

Human control stays visible
Grounding checkApproved context & evidence

Check that the source is relevant, current, and sufficient for this action.

Source Policy Confidence

Auto

Within policy and grounded in approved context.

Proceed within the agreed boundary

Review

A person is required for this action or audience.

Route to the right owner

Escalate

Evidence is missing, conflicting, or outside policy.

Pause and surface the exception

Insufficient source? Pause the action, surface what is missing, and send the case for resolution.

Traceable outcomeEvidence → route → decision → result
EvidenceAction pathOwnerOutcome

A system design example. Review is required only when the action or policy calls for it; source failures follow an exception path.

Build an AI-Native Finance Function

Where could AI create more leverage across your finance operations?

Tell us the finance workflow you want to transform. We’ll identify the opportunity, connect the right data, controls, and context, and build the first production AI workflow around measurable business impact.

See How We Work