Financial Reporting AI Agents for Modern Finance Teams
We build audit-ready AI agents that automate financial close, consolidation, compliance reporting, and disclosures across your ERP and regulatory environment.
We build audit-ready AI agents that automate financial close, consolidation, compliance reporting, and disclosures across your ERP and regulatory environment.
Your existing automation handles predictable transactions. The moment accounting judgment enters the equation, it fails.

RPA tools execute fixed rules. They have no access to your accounting policy documents and cannot apply judgment when standards shift or estimates change.

Most automation layers can pull data from your ERP. Writing validated outputs back into the ledger, with controls, is where they stop.

Multi-entity consolidations involve intercompany eliminations, FX translation, and layered ownership structures. Rule-based tools break at the first exception.
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Compliance controls baked into automation after the fact are fragile. Agents built without SOX or IFRS logic from the ground up create audit exposure, not coverage.

Coordinates the full close sequence, including journal entry validation, sub-ledger matching, and period-end lock, with exception escalation built in.

Handles multi-entity roll-ups, intercompany eliminations, minority interest calculations, and FX translation across subsidiaries.

Applies ASC 606 and IFRS 15 contract logic to new deals, modifications, and variable consideration, with a full documentation trail per transaction.

Runs automated controls testing, generates evidence packages for 302 and 404 sign-offs, and flags deficiencies before auditors arrive.

Drafts and updates financial statement disclosures against current standards, with version tracking across reporting periods.

Generates period-over-period variance commentary with root cause identification, formatted for the CFO pack or board deck.

Identifies mismatches, applies elimination entries, and reconciles intercompany balances across legal entities before period close.

Produces narrative management accounts, combining financial data with business context drawn from your ERP and operational systems.

Prepares XBRL-tagged submissions, maps disclosures to filing requirements, and validates against regulator schemas before submission.
Automates the complete R2R cycle, including transaction capture through financial statement production, with controls and checkpoints at each stage.
Manages close task sequencing, status tracking, and exception resolution across finance teams and entities, reducing close cycle days materially.
Compiles board reporting packs, like financials, narrative commentary, and KPI dashboards, pulling from your ERP and FP&A systems with consistent formatting.
Organizes audit evidence, responds to information requests, and prepares regulator submissions with full supporting documentation.
Aggregates ESG data from operational systems, maps metrics to reporting frameworks (GRI, SASB, TCFD), and prepares disclosure-ready outputs.
Consolidates bank positions, cash flow actuals, and liquidity forecasts into treasury reporting, with automated variance flags on material movements.
Compliance is not a post-build configuration. We encode your regulatory environment into agent logic from the first sprint.
Get a QuoteDual-standard support. Agents apply the correct accounting treatment based on entity jurisdiction, with explicit policy documentation for each decision.
Controls architecture aligned to PCAOB requirements. Agents generate the evidence, maintain the testing record, and flag control failures in real time.
Automated taxonomy mapping and tag validation for SEC, ESEF, and HMRC submissions, with human review queues for non-standard elements.
Architecture reviewed against financial services data requirements. Data residency, access controls, and retention policies are configured per your compliance obligations.
Revenue recognition policy is embedded at the transaction level. The five-step model is applied systematically across contract portfolios with audit-ready documentation.
Financial disclosure agents built for high-risk AI system requirements under the EU AI Act, explainability, human oversight, and documentation standards are included.







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A top-level orchestrator agent routes tasks to purpose-built specialist agents, like close, consolidation, disclosure, and audit evidence, each with its own domain logic and escalation rules.
Agents retain context across close cycles, including prior period positions, accounting policy decisions, and known exceptions, so they apply consistent treatment rather than starting fresh each period.
Full bidirectional ERP integration: agents read transaction data, apply transformations, and write validated outputs back to the ledger with a full audit trail.
Agents operate within defined materiality thresholds. Items above threshold are escalated to human reviewers, with full context, supporting data, and recommended treatment presented at the point of review.
Approval workflows are embedded in agent architecture, not added afterward. Judgment-heavy outputs route to the appropriate controller, CFO, or external auditor before proceeding.
Every build follows the same structured process. No shortcuts on compliance scoping, no skipped validation steps.

We map your close process task by task, system by system, to identify automation opportunities, risk points, and compliance touchpoints.

We review accounting policies, chart of accounts, ERP structures, and historical close data for completeness, consistency, and agent readiness.
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We define SOX, IFRS, GAAP, audit trail, approval, escalation, and documentation requirements before agent development begins.

We select the orchestration model, specialist agent roles, and LLM stack based on your ERP environment, regulatory needs, and data sensitivity.

We build secure ERP integration points for reading source data, validating outputs, writing approved results, and maintaining control evidence.

We benchmark agent outputs against historical close data and finance team decisions, with accuracy thresholds defined and validated before testing.
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We run the first live close cycle with human-in-the-loop oversight, reviewing every material decision and logging discrepancies for refinement.

We move agents into production with monitoring, retraining schedules, and updates for ERP changes, new entities, or accounting standard shifts.

Outcomes:








Our AI engineers work with CPAs, financial controllers, and compliance specialists during every build as domain knowledge is built into the agent, not bolted on through prompts.
No off-the-shelf connectors. No wrapper products. Every agent is built to your chart of accounts, your consolidation structure, and your specific regulatory obligations.
We deliver production systems, not proofs of concept left for your team to scale. Full IP ownership transfers to you at project completion.
SOX architecture is not a separate workstream. Controls logic, evidence generation, and approval routing are built into the agent from the first sprint.
Discovery through post-deployment retraining. One team, one engagement, with no handoff to a separate managed services vendor after go-live.
Multi-agent orchestration running in production across enterprise finance functions; not lab environments or single-entity pilots.
Build audit-ready AI agents that accelerate close, strengthen compliance, and automate reporting across your ERP and finance stack.

Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566