CORAA
Solution · Enterprises

Internal audit command centre for enterprise teams.

Run the internal audit function on one operating layer: audit universe, SOW, RCM, PBC tracker, cycle programmes, continuous monitoring, observations, management response and audit committee follow-up. Intelligence Studio sits over the ERP so every issue can trace back to the transaction population.

Transaction coverage
100%
Every voucher tested, not a sample
Process cycles
10
P2P, O2C, R2R, H2R, treasury, compliance, ITGC and more
To go-live
4 weeks
First entity live, phase by phase
2026 internal audit pressure map

The mandate changed before the operating model did. risk signal.

Enterprise internal audit teams are being asked to cover AI governance, cyber exposure, fraud, process controls and board reporting while budgets and staffing stay tight. That is why the page is framed as an operating layer: the same RCM, evidence, observation and monitoring record has to support planning, fieldwork, audit committee reporting and management follow-up.

Risk in Focus 2026
Cyber remains No. 1; AI disruption is No. 2
The IIA's Risk in Focus 2026 research keeps cybersecurity as the top ranked risk and priority, while digital disruption including AI has climbed to the second global risk. Internal audit plans need to connect cyber, ERP, AI and process controls instead of treating them as separate reviews.
Gartner · Aug 2026
AI use is common; strategy is not
Gartner reported that 93% of audit leaders use AI in some form, but only 38% have an AI strategy. Less than a third use AI for audit testing and only 12% use it for quality assurance reviews, which is why adoption has to be tied to audit quality and evidence.
IIA + AuditBoard · 2026
AI-enabled fraud is ahead of audit readiness
The IIA and AuditBoard found that only about four in ten internal audit leaders believe their teams are adequately prepared to detect or respond to AI-enabled fraud, while 83% expect internal audit's own AI usage to increase over the next year.
Pulse 2026
Budget pressure makes prioritisation visible
The IIA's 2026 Pulse research points to tighter budgets and staffing constraints. For enterprise internal audit, that makes audit-universe scoring, realistic capacity planning and continuous monitoring more than operational polish: they become governance evidence.

Operationally, this means one connected record for audit-universe prioritisation, AI inventory, RCM ownership, monitoring rules, evidence trail, observations and ATR ageing. A trend deck is not enough if the team cannot show which control, owner and evidence item each conclusion came from.

For internal audit teams

The internal audit operating system.

The enterprise offer should be judged by whether it helps an internal audit team run the function: audit universe, annual plan, SOW, RCM, PBC tracker, fieldwork programme, continuous monitoring, observation, management response and audit committee follow-up. Intelligence Studio is the dashboard over that system, not the whole system by itself.

Audit universe
Rank every auditable area
Score entities, branches, processes and systems by impact, likelihood, change, compliance sensitivity and unresolved prior findings.
Annual plan
Convert risk into coverage
Map selected cycles to quarters, reviewer hours, continuous monitoring candidates and audit committee approval wording.
2026 priorities
Challenge the risk universe
Route cyber, AI, third-party, P2P, R2R, compliance, monitoring, treasury, H2R and closure risks into the annual plan.
Third-party risk
Audit critical vendors
Review outsourcing dependency, SLA breaches, data access, sub-outsourcing, BCP, financial health and exit readiness.
Capacity
Prove the plan is executable
Compare plan hours against team availability, quarter loading, specialist demand, buffer and co-sourcing gap before approval.
Kickoff
Align owners before fieldwork
Generate the entrance-meeting agenda, stakeholder RACI, scope confirmations, first PBC commitments and escalation protocol.
AI governance
Audit enterprise AI use
Build an AI inventory, owner RACI, data/privacy test plan, model change review, human-review trail and incident-monitoring workpaper.
AI strategy
Govern IA's own AI adoption
Set approved use cases, data boundaries, evidence rules, quality metrics and rollout ownership before AI use spreads informally.
AI-enabled fraud
Test fraud readiness
Map AI phishing, fabricated documents, deepfake approvals and synthetic identity risks to controls, source evidence and monitoring queues.
RCM repository
Keep one control record
Map each risk to the control, owner, frequency, evidence source, test step, result, observation and follow-up owner.
Cycle programmes
Move from scope to testing
Use separate P2P, O2C, R2R, H2R, treasury, compliance, ITGC and industry programme pages for fieldwork depth.
Programme builder
Generate fieldwork procedures
Assemble cycle-wise objectives, procedures, evidence expectations, data requests, analytics and reviewer prompts for selected reviews.
Fieldwork
Keep testing status visible
Track RCM tests, evidence blockers, exceptions, reviewer readiness and reporting handoff during fieldwork.
Continuous monitoring
Run repeatable exception rules
Turn duplicate payments, stale BRS items, leaver access, late filings and unusual journals into recurring review queues.
Evidence intake
Control the PBC queue
Track source report, extraction period, owner, due date, status and retry history before the auditor starts concluding.
Evidence escalation
Surface blocked fieldwork
Track overdue PBC requests, incomplete evidence, alternate procedures, escalation owners and report consequences before review meetings.
Walkthrough memo
Understand the process first
Document systems, documents traced, controls observed, design gaps and RCM handoff before fieldwork expands.
Design gap register
Separate design from execution
Track design gaps, evidence strength, severity, RCM action and management response before testing conclusions harden.
Issue rating matrix
Make severity consistent
Score observations before committee reporting so High, Medium and Low ratings do not depend on who drafted the finding.
Sampling basis
Document fieldwork coverage
Tie every control and substantive test to population, risk, sample basis, replacement rule, deviations and reviewer conclusion.
Audit committee pack
Report actions, not slides
Roll observations, ratings, management responses, due dates, overdue items and repeat findings into the review pack.
Enterprise intelligence layer

More than a dashboard.

Enterprise teams do not need another static BI deck. They need a finance and audit cockpit where compliance health, money movement, reconciliation status and internal-audit observations all trace back to the transaction population. That is the layer CORAA puts over the ERP.

What rolls up to management

  • CFO dashboard: compliance health, working-capital vitals, entity-level exposure and open findings
  • Money-flow graph: ledgers, parties and vouchers as a drillable transaction network
  • Business DNA: counterparty concentration, seasonality and operating-pattern shifts year over year
  • Evidence trail: material drillable figures and graph flows link back to vouchers, reconciliations or source schedules where available
The gap in most internal audit functions

Issues surface quarterly, after the fact.

The gap is rarely skill. It is operating discipline: scope in one file, evidence in another, exceptions in dashboards, observations in slides and follow-up in a separate tracker. CORAA keeps the internal audit lifecycle connected.

Without Coraa
  • Sampling a fraction of transactions and hoping the rest is clean
  • Issues surfacing at quarter-end, months after they happened
  • Journal entry testing done manually, weeks per entity
  • Observations tracked in Excel, with no sign-off trail
  • Evidence scattered across inboxes and shared drives
  • The statutory auditor finding it first
  • Each group entity audited in isolation
With Coraa
  • The full transaction population tested, every run
  • Findings surface on the audit cycle you set — weekly, monthly, quarterly
  • Journal-entry anomaly testing on every ledger, Benford's included
  • Observations with a lifecycle and named sign-off, draft to closed
  • Evidence linked to the voucher behind every finding
  • Your team finds it before the statutory auditor does
  • All group entities on one platform, entity-level drill-down
The point
The goal is not another dashboard. It is an internal audit file where the dashboard, evidence, observation and follow-up all point to the same underlying data.
Internal audit operating layer

Run the function, not only the report.

Use cases

What enterprise teams use Coraa for.

Ledger & JE scrutiny
Every voucher, every entity
Ledger scrutiny plus journal-entry anomaly testing — duplicates, round-number clusters, weekend postings, post-close entries — run by your own team, on your own schedule.
Continuous monitoring
Rules that repeat every month
Books, masters, access exports, bank files and statutory trackers are tested on the cadence the internal audit team sets, with exceptions cleared or escalated.
Process audits
P2P · R2R · O2C programs
Structured audit programs against live processes: three-way match, duplicate payments, close-window journal entries, collections ageing, billing accuracy.
Observations
Findings with a sign-off trail
Five-part observations — condition, criteria, cause, effect, recommendation — rated, signed off, and rolled into an SIA 370 internal audit report.
Audit committee
Pack built from live actions
High-risk observations, repeat findings, overdue actions and owner-level ageing roll into an audit committee pack from the same action tracker.
External audit readiness
Evidence before year-end
Working papers, reconciliations and closure evidence are ready before external auditors arrive, with open matters already owned and explained.
Separate buyer path

CA firms use the same engine differently

Internal audit teams buy a command centre for one organisation. CA firms buy a delivery system for many clients: standard workpapers, partner review, repeatable reports and recurring monitoring retainers. The product can serve both, but the page should not speak to both at once.

Firm delivery model
  • Reusable cycle workpapers across clients without turning every engagement into a blank Excel build
  • Partner review over exceptions, observation wording, management responses and open ATR ageing
  • Recurring monitoring retainers for clients that need monthly internal audit attention but not a full in-house team
Trust & security

Built for defensibility.

ISO 27001:2022 Certified
SOC 2 Type II in progress
GDPR Compliant
DPDP Aligned
India-Hosted Infrastructure
Questions

What enterprise teams ask first

Alongside. The scrutiny, journal-entry testing and process audits run on the cadence your own team sets — weekly, monthly, quarterly — and the findings are theirs to review, sign off, and escalate. CORAA removes the manual sampling and evidence-chasing; the audit judgement stays with your team.
All group entities sit on one platform with entity-level drill-down, rather than each entity being audited in isolation. The CFO/executive view rolls up ratios, concentration, compliance health and open findings per entity, computed directly from each entity's books.
Your data is pulled read-only from your ERP into an isolated, encrypted workspace, hosted entirely in India (AWS, Mumbai region ap-south-1) and never used to train any model. ISO 27001:2022 certified, SOC 2 Type II in progress, DPDPA and GDPR aligned.
The first entity goes live in about 4 weeks, then further entities and process cycles roll out in phases — there's no obligation to commit to full coverage before you've seen it work on real data.
Ten process-cycle lenses are covered across the internal audit resource and programme library: Procure-to-Pay, Order-to-Cash, Record-to-Report, Cash & Bank, Hire-to-Retire, Inventory, Fixed Assets, Treasury, Statutory and Tax Compliance, and ITGC. Industry packs add sector-specific controls for manufacturing, retail, NBFC, healthcare, logistics, real estate, NGO, SaaS, hotel, education and pharma teams.
No. The enterprise page is for internal audit teams inside one organisation. CA firms use the same SOW, RCM, programme, workbook, report and ATR assets differently, across multiple clients, so they have a separate internal-audit service-delivery page.
The 2026 risk signal is consistent: cybersecurity remains the top internal-audit risk, digital disruption including AI is rising, AI-enabled fraud preparedness is weak, and audit teams are under budget and staffing pressure. A practical enterprise programme needs audit-universe prioritisation, AI inventory, RCM ownership, repeatable monitoring rules and evidence-linked reporting.
It should show audit-plan coverage, high-risk cycles, overdue evidence, open observations, repeat findings, action-owner ageing, monitoring exceptions, AI-governance gaps and audit committee themes. The dashboard is useful only if every number can drill back to a control, test, source report, voucher population or management response.
Start with five to ten repeatable rules where the data is available and the owner is clear: duplicate payments, vendor master changes, stale BRS items, unusual journals, leaver access, late GST/TDS filings or overdue ATRs. Each rule needs source data, cadence, exception threshold, reviewer conclusion and escalation owner before it becomes part of the audit plan.
The public resources are the open learning and lead-capture layer: SOW, RCM, checklists, calculators, monitoring rules and report formats. Inside CORAA, those structures become governed product workflows with assignment, evidence trail, review status, observation drafting, management response and action tracking.
This page is for in-house internal audit, finance, risk and controllership teams running one enterprise. CA firms delivering internal audit across many clients should use the separate CA-firm internal audit page, because their operating model needs client separation, partner review and reusable engagement packs.
Ready to move from sample testing

Start with one entity. Prove it. Then scale. to full coverage?

A live demo on your own data, then a phased rollout for the first entity. No obligation to expand.

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