AI-native audit intelligence

Your audits, faster. Your quality, higher. Your data, your own.

Looom embeds artificial intelligence across every module of the audit lifecycle – planning, fieldwork, review, and reporting – in a single secure environment where client data is never used to train AI models. Built in Africa, aligned to ISA 315 (Revised 2019), King IV, and POPIA.

Your senior auditors should not be drafting findings at midnight.

Documentation is where audit teams lose the most time. Findings get drafted, rewritten in review, reformatted for the file, and reworked for the final report. The people doing this work are the same people you need for judgement calls – risk assessment, control design, management conversations – that no tool can do for them.

Looom is designed to reduce drafting time by up to 80% in early deployments and to cut review cycles by up to 60%. Not a draft that needs to be rewritten – audit-ready output, first time.

83% of audit departments are piloting or actively using AI tools (Gartner, 2026). The question is whether the tool you choose was built for audit – or adapted to it.

One platform. Twelve modules. The entire audit lifecycle.

Looom organises twelve AI-integrated modules into three product lines. All three run in the same secure environment and share the same intelligence layer.

Looom AI

Audit intelligence

IT Audit, Internal Audit, Compliance Management, Risk Management, Combined Assurance, Exception Register, Audit Readiness, Engagement Management, and RFI. Nine modules powered by the same domain-trained intelligence layer.

9 AI-integrated modules

Aura

Data analytics

Full-population testing, built with dashboards designed for auditors rather than data scientists. Configurable fraud-risk criteria, drill-down by account class, and findings that flow directly into Looom AI working papers.

1 AI-integrated module

Innsyte

Knowledge management & assessments

Knowledge Management and Surveys & Self-Assessments. The methodology layer your firm relies on – searchable, version-controlled, and shared across every engagement.

2 AI-integrated modules
Up to 80%
Designed to reduce drafting time by up to 80% in early deployments.
Up to 60%
Designed to cut review cycles by up to 60% in early deployments.
30–40%
Designed to reduce human error in risk identification.
100%
Framework alignment across ISA, King IV, COBIT, and IFRS.
20–30%
Structured to enable fee income growth by freeing senior auditors.

All figures carry qualification language until a verified case study is published.

Pillar 3

Built in Africa. Ready for the world.

Every major AI audit platform is built in the United States or Europe and adapted for other regions after the fact. Looom is the opposite. Designed in South Africa, for auditors operating under South African and African regulatory conditions – and the architecture travels.

Native POPIA alignment

Designed around the 2025 amendments – 48-hour breach reporting window.

King IV & COBIT 2019

Principle 15 combined assurance, IIA International Professional Practices Framework, and IRBA standards.

ISA 315 (Revised 2019)

The basis for documentation templates, risk identification schemas, and working-paper structure.

USD 15.22 billion addressable market

Middle East and Africa auditing services (Mordor Intelligence, 2025) – served by tools designed elsewhere.

Main Sponsor

Looom at the 12th AFIIA Conference.

25–29 May 2026 · CTICC, Cape Town. Join 2,700+ delegates from the African internal audit profession – and see the platform live at our stand.

AFIIA 2026 details →

Who we serve.

Looom is live in production across government and private practice.

South African government entities

Government internal audit units running the full audit lifecycle on Looom.

Chartered accountancy practices

Production deployments across engagements at chartered accountancy firms.

Privacy & Security

Private by architecture. Not by policy.

A policy says what a vendor promises to do. An architecture decides what a vendor can do. Looom is built so that client data cannot leave the client's environment and cannot be used to train AI models.

Full security architecture →
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Isolated client instances

Each client in a separate secure environment. No shared data pool; no cross-client inference.

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No training on client data

Client data never used to train or refine AI models.

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Encryption end to end

AES-256 at rest, TLS 1.2+ in transit, MFA and RBAC at every entry point.

Free White Paper

Responsible AI Governance for AI-Powered Audit

30 pages on what happens when agentic AI enters the audit workflow — and the governance framework your firm needs before it does.

Download the White Paper →

See Looom before AFIIA.

A 30-minute walkthrough with a member of our team, scheduled to fit around your audit calendar. We show you how the platform handles one of your own engagement types – not a generic demo.