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Solution · Finance

Finance

Reconciliations, accruals, and variance explanations all depend on documents and context living outside the ledger. Connect them into one safe platform and the first week of the month stops being an archaeology exercise.

ROI lever

Close time and cost to serve

Finance runs on two clocks. Close time is the days from period end to reported numbers, and it is consumed by chasing explanations rather than by accounting judgement. cost to serve is the fully loaded cost of processing a transaction - an invoice, an expense, a collection. Both improve when evidence gathering stops being a manual search.

Reads from

  • ERP & ledger
  • Invoices & statements
  • Contracts & POs
  • Bank & payments

The problem

Finance spends the close explaining, not deciding

The ledger knows what happened. It rarely knows why. Every unexplained variance turns into an email thread, and those threads are the critical path of your close calendar.

Checked by hand today

  • ERP & general ledger
  • AP invoices & statements
  • Contracts & purchase orders
  • Bank & payment records
  • Expense reports & receipts
  • Vendor email threads

Why did this account move this month, and where is the document that proves it?

  • Every variance becomes an investigation

    A number moves, and someone has to find the purchase order, the contract clause, and the operational event behind it. The accounting takes minutes; the search takes days.

  • Supporting evidence lives outside the ledger

    Contracts, statements of work, vendor correspondence, and approvals sit in document stores and inboxes. Auditors ask for them, controllers hunt for them, and nobody has an index.

  • Transaction processing scales linearly

    Invoice coding, expense review, and collections follow-up grow with volume. Add a business unit and you add headcount, because the cost per transaction has not changed in years.

How Bhogar helps

How Bhogar supports finance teams

Bhogar joins ledger movement to the operational and contractual context that caused it, then drafts the explanation with its evidence attached - so a controller reviews rather than researches.

Sources

  • ERP & ledger
  • Invoices & statements
  • Contracts & POs
  • Bank & payments

Outcomes

  • Drafted variance note
  • Coded transaction
  • Matched exception
  • Audit evidence pack
  • Variance explanations with evidence

    Account movements are matched to the transactions, contracts, and operational events behind them, and drafted as an explanation a reviewer can accept, amend, or reject.

    How it works →
  • Document understanding at volume

    Invoices, statements, and contracts are read and coded against your chart of accounts and cost centres, with the source line kept for every field.

    How it works →
  • Agents for the transaction tail

    Three-way match exceptions, duplicate detection, collections follow-up, and vendor queries are handled as executable work rather than a list somebody works through.

    How it works →
  • Controls that stay intact

    Approval limits, segregation of duties, and journal posting rules are enforced by the platform, and every automated action is traced to a named policy.

    How it works →

All your data

What Bhogar connects for finance

Finance already has the numbers. What it lacks is a fast, permissioned path from a number to the document and decision that explain it.

  • General ledger

    Journals, sub-ledgers, trial balance, and period comparatives from your ERP.

  • Accounts payable

    Invoices, vendor statements, credit notes, and the coding history behind similar spend.

  • Commitments

    Contracts, purchase orders, statements of work, and renewal terms that drive accruals.

  • Cash & banking

    Bank statements, payment runs, and settlement records for reconciliation.

  • Employee spend

    Expense claims, receipts, and corporate card feeds, with policy applied consistently.

  • Operational context

    Headcount changes, usage volumes, and project milestones that explain why a cost line moved.

Governance built in

  • Segregation of duties is preserved - an agent may prepare and propose, but posting and approval remain with authorised people.
  • Approval limits and delegation of authority are enforced as configuration, and every exception is recorded.
  • Every generated explanation carries its supporting documents, so an auditor follows a link instead of opening a request.
  • Retention, access, and residency follow your existing finance data policy, including region-pinned model routing.

The workflow

A month-end variance, from flag to sign-off

The close pattern most controllers recognise. The same shape covers accrual review, intercompany reconciliation, and audit evidence requests.

FinanceProcess diagram

A variance is flagged

An account moves beyond its tolerance against prior period, budget, or forecast, and enters the close checklist.

System

In the portal

Durable workflows with approvals built in.

Multi-step processes - onboarding, invoice review, incident triage, KYC - run as checkpointed DAGs with human approval gates.

Bhogar AI Studio - Workflows page listing 45 workflows such as HR Onboarding Sequential Flow, Finance Invoice Parallel Review, and ITOps Incident Triage with Approval.

The return

How finance value is calculated

Finance will audit this model before it believes it, which is the right instinct. Every metric below is derived from timestamps and cost data your team already reports.

  • Days to close

    period end → numbers reported and signed off

    The primary lever. Track the critical path, since a faster non-blocking task changes nothing.

  • cost to serve

    (loaded process cost + platform cost) ÷ transactions processed

    Reported per process - invoice, expense, collection - because blended numbers hide the outlier that matters.

  • Touchless processing rate

    transactions completed with no manual intervention ÷ total

    The clearest leading indicator of cost to serve, and the easiest to verify against ERP data.

  • Evidence retrieval time

    audit or query raised → supporting documents produced

    Rarely tracked, consistently painful, and the fastest metric to improve once documents are indexed.

DimensionBeforeWith Bhogar
Variance explanationTwo days of email threads to explain one account movement.A drafted commentary with linked evidence, ready for review.
Invoice codingManual coding against precedent held in an experienced clerk’s head.Coded from contract terms and historical treatment, with confidence and source shown.
Audit requestA scramble across shared drives, inboxes, and the ERP.An evidence pack assembled from the indexed source of record.
Cost reportingCost per transaction estimated once a year for a business case.cost to serve reported continuously, including platform and model spend.

FAQ

Frequently asked questions

Will an AI system be posting journals?
Only if you configure it that way, and most finance teams do not start there. The default is prepare-and-propose: the agent assembles the entry and its evidence, and an authorised person posts. Segregation of duties is enforced by the platform rather than by policy alone.
How does this satisfy auditors?
Every explanation and automated action retains its inputs, retrieved documents, decisions, and approvals as a trace. Auditors sample a trail rather than reconstructing one, which usually shortens fieldwork on the processes involved.
Our ERP already has AI features. Why add a layer?
ERP-native features see ERP data. The expensive part of the close is explaining ledger movement using contracts, correspondence, and operational context that live outside the ERP. Bhogar is the layer that joins them under one governance model.
What about accuracy on extracted document values?
Each field keeps a pointer to the source passage, and low-confidence extractions route to review. Accuracy is tracked as an evaluation metric per document type, so regressions are caught in testing rather than in a month-end.
Where do most finance teams start?
Variance commentary and AP exception handling, because both have clean baselines and immediate close impact. Collections follow-up is a common second workflow once the evidence index is trusted.

Take a week out of the close, with evidence

Bring your last close calendar and the accounts that always run late. We will show which explanations can be drafted from connected data and how the controls would hold.