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We’d love to walk you through how to cut disclosure review time by more than half, without cutting the rigour.

Thanks for scanning your chocolate bar

We’d love to walk you through how to cut disclosure review time by more than half, without cutting the rigour.

Thanks for scanning your chocolate bar

We’d love to walk you through how to cut disclosure review time by more than half, without cutting the rigour.

Thanks for scanning your chocolate bar

We’d love to walk you through how to cut disclosure review time by more than half, without cutting the rigour.

Thanks for scanning your chocolate bar

We’d love to walk you through how to cut disclosure review time by more than half, without cutting the rigour.

We feel the pains

We feel the pains

The manual pain

The manual pain

Tick and Tie and disclosure checklists are processes that are ripe for automation.

They run as two separate workflows, which means more time, more disconnect. They are manual, very time intensive, and low value for audit firms. They’re prone to error unless rigorously reviewed, and review adds even more time.

The automation pain

The automation pain

Most automation attempts just hand the problem to a general LLM, and it doesn’t hold up in a regulated environment.

A general LLM causes significant hallucinations and relies on black box, post-hoc explanations. Firms had AI outputs pulled or refunded for fabricated content in the past year.

UnCheck is the solution

What does it help

UnCheck is the solution

What does it help

Checklist creation

Turning the underlying regulation into an up-to-date checklist automatically, so it doesn’t go stale as rules change.

Checklist creation

Turning the underlying regulation into an up-to-date checklist automatically, so it doesn’t go stale as rules change.

Checklist creation

Turning the underlying regulation into an up-to-date checklist automatically, so it doesn’t go stale as rules change.

Checklist answering

Working through that checklist against a specific set of accounts, answering each item, and only asking a human to step in where real judgement is needed.

Checklist answering

Working through that checklist against a specific set of accounts, answering each item, and only asking a human to step in where real judgement is needed.

Checklist answering

Working through that checklist against a specific set of accounts, answering each item, and only asking a human to step in where real judgement is needed.

Casting

Checking that the numbers in the accounts are correctly totalled, internally consistent, and consistent with prior years.

Casting

Checking that the numbers in the accounts are correctly totalled, internally consistent, and consistent with prior years.

Casting

Checking that the numbers in the accounts are correctly totalled, internally consistent, and consistent with prior years.

What does it save you?

No more manual tick and tie and disclosure checklist processes, but more time for high-value tasks

What does it save you?

No more manual tick and tie and disclosure checklist processes, but more time for high-value tasks

80%

Time saving tick and tie approx

80%

Time saving tick and tie approx

50-60%

Time saving disclosure checklist approx

50-60%

Time saving disclosure checklist approx

Why it holds up

UnCheck uses neurosymbolic technology, a combination of dynamic LLMs and rigorous symbolic AI

Why it holds up

UnCheck uses neurosymbolic technology, a combination of dynamic LLMs and rigorous symbolic AI

Neural (LLMs)

Flexible with messy language, but inconsistent and will state things confidently that aren’t true

Neural (LLMs)

Flexible with messy language, but inconsistent and will state things confidently that aren’t true

Neural (LLMs)

Flexible with messy language, but inconsistent and will state things confidently that aren’t true

Symbolic

Precise and predictable, but rigid, struggles with real-world documents that don’t follow a clean structure

Symbolic

Precise and predictable, but rigid, struggles with real-world documents that don’t follow a clean structure

Symbolic

Precise and predictable, but rigid, struggles with real-world documents that don’t follow a clean structure

Why should you trust it?

UnCheck automates audit checklists with deterministic logic, a full audit trail, and human judgement kept exactly where it’s needed

Why should you trust it?

UnCheck automates audit checklists with deterministic logic, a full audit trail, and human judgement kept exactly where it’s needed

99%

Precision: the percentage of answered questions that are correct

99%

Precision: the percentage of answered questions that are correct

99%

Precision: the percentage of answered questions that are correct

90%+

Recall: the percentage of questions answered

90%+

Recall: the percentage of questions answered

90%+

Recall: the percentage of questions answered

100%

Explainability: detailed, reproducible audit trail

100%

Explainability: detailed, reproducible audit trail

100%

Explainability: detailed, reproducible audit trail

Talk to us

Got some questions?

Tell us what’s slowing you down. We’ve spent years in this space and might have the answer.

Dig deeper

More on neurosymbolic AI, the trust problem in audit, and where the profession’s heading.

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When other AI fails, UnlikelyAI performs

When other AI fails, UnlikelyAI performs

When other AI fails, UnlikelyAI performs

When other AI fails, UnlikelyAI performs