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Firm moves to put human accountability at heart of AI operations

Artificial-intelligence

To ensure clear human accountability for AI-driven decisions, AURÄI, an AI assurance company, is set to launch an enterprise system designed to monitor, govern and certify artificial intelligence operations.

The company, founded by Olayinka James, Mo Mijindadi and Chris Kanwei, said the platform was created to address a growing challenge facing organisations: identifying the AI systems operating across their businesses, governing and auditing how those systems operate against the organisation’s rules and regulatory requirements, and certifying the results so that a trained, accountable professional stands behind every outcome.

AURÄI said AI systems are increasingly being used to approve loans, screen job applicants and moderate content, while organisations often struggle to maintain visibility over the tools being deployed by employees.

Its Founder and Chief Executive Officer, James, said: “How many organizations can confidently list every AI tool, model and agent running across their business right now? Not just the ones IT approved, but the ones employees are quietly using to draft reports, summarize documents and analyze data.

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“AI governance has to go beyond policies and annual reviews. It has to mean continuous visibility, clear boundaries, and evidence of how these tools actually operate. That is the problem AURÄI solves.”

According to the company, its approach brings together two layers in a single system: an execution layer of governed AI agents that carry out governance, risk and compliance work and record evidence of every step, and a capability layer of professionals, trained and certified by AURÄI, who operate the agents, question their outputs and sign off on results.

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The company said the two layers are delivered as one solution, allowing an organisation to govern its AI, operate it and prove that it is under control.

AURÄI said its agent-led enterprise system draws on a library of specialised, governed AI agents, each built for a defined task such as access reviews, evidence collection, control testing and policy drafting.

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It said each agent operates within defined boundaries and maintains a record of every step, and that no result an agent produces is treated as final until a certified professional has reviewed and approved it.

The company said the platform enables organisations to monitor, govern and certify their AI operations.

The monitoring function is designed to discover and track AI systems operating within a business, whether approved or not. The governance function applies an organisation’s rules and regulatory requirements, while recording evidence throughout the process.

The certification function is designed to produce audit-ready evidence that can be examined by internal assurance teams, external auditors, regulators and boards, with every result signed off by a certified professional, while enabling organisations to train and certify their own staff.

James said the human oversight component would remain central to AURÄI’s strategy.

“The global conversation has shifted from what AI can do to how we can prove it is safe, controlled and trustworthy.

“I spent twenty years inside the audit room, at Deloitte, PwC, Citigroup and GE, and as Chief Information Security Officer at Zimmer Biomet. I know how this works. Soon, saying you have controls will not be enough. You will have to prove they work,” he said.

AURÄI said regulatory developments, including the phased implementation of obligations under the European Union AI Act, California’s AI-audit laws and Nigeria’s data protection framework covering decisions made by automated systems, have increased the need for organisations to demonstrate control over their AI operations.

The company also cited Statista projections that the global AI market is expected to reach $707.48 billion in 2026 and grow at 18.52 per cent annually to $1.96 trillion by 2032.

AURÄI said its platform is onboarding design partners and enterprise customers ahead of its general launch in November 2026.

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Organisations building or using AI systems are invited to book a demo or join the waitlist through AURÄI’s website.

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