By AIGAS
AIGAS Weekly | 10 September 2026
Covering developments from 3–9 September 2026.
This week’s AI news brings some familiar accounting questions into sharper focus. Who checks the books when more of the work is automated? How should firms price services when AI saves time? And how do commercial relationships affect confidence in AI decisions?
At AIGAS, we believe firms should be able to benefit from AI with confidence. Our AI governance framework for accounting firms centres on visibility, clear responsibilities and proportionate controls. Here are four developments worth your attention.
Airwallex introduces AI accounting platform T:0
On 8 September, Airwallex announced T:0 in its monthly product update. The company says the platform automates bookkeeping, including transaction categorisation and reconciliation, combining AI interpretation of business information with deterministic accounting rules governing the ledger. Our research has not confirmed UK availability or UK tax support.
We see potential in this approach. Accounting rules provide structure, while AI can help interpret information that would otherwise require manual processing.
For firms considering such tools, the practical questions remain straightforward: which entries can the system post automatically? What triggers a review? Can we trace a classification back to its supporting evidence and reverse it when necessary?
Understanding those boundaries helps firms decide where automation can safely save time.
Read Airwallex’s announcement.
Should AI savings mean lower accountants’ fees?
An 8 September report from the Journal of Accountancy highlighted the AICPA’s request for clarification over US IRS guidance suggesting practitioners should pass AI-related efficiencies to clients. The AICPA argues that this overlooks implementation, training, governance costs and value-based pricing. The underlying guidance dates from June and concerns US federal tax practice.
We think the wider question will resonate with UK accounting firms.
Producing work faster is valuable. Delivering a reliable service also involves selecting appropriate tools, training staff, checking outputs and taking professional responsibility.
When we assess AI’s return on investment, we should account for those activities. Firms also need to explain clearly what clients receive: timely information, dependable work and informed advice. Time saved is one part of that conversation.
Read the Journal of Accountancy report.
HLB expands its partnership with Inflo
On 8 September, HLB announced an expanded partnership with Inflo, focused on bringing its Working Papers solution to member firms alongside collaboration and analytics tools. The wider platform includes AI-enabled capabilities, with dedicated training, onboarding and implementation support.
For us, that support is an important part of the announcement.
When AI becomes embedded in audit workflows, staff need to understand where it contributes, how to evaluate its output and when to escalate concerns. Firms should also be able to demonstrate how professional judgement informed the final work.
We would encourage any practice reviewing similar technology to examine the training and review arrangements as closely as the product demonstration. Successful implementation needs people who understand the system’s limits as well as its capabilities.
AI governance needs independence and trust
The Guardian reports that Matt Clifford will leave ARIA’s chair following concerns about his new Anthropic role.
For AIGAS, this raises a broader governance question: how do we make interests visible and manage them effectively?
Accounting firms may recommend AI products, receive referral fees or help implement systems they later assess. Those relationships deserve clear consideration.
Have relevant commercial arrangements been disclosed? Who reviews a recommendation where a potential conflict exists? Can the firm demonstrate that its advice serves the client’s needs?
Commercial relationships can bring valuable expertise. We believe transparency, documented decisions and appropriate independent review help preserve confidence. Declaring an interest is the starting point; how we manage it matters.
This week’s action for your firm
Choose one AI-enabled accounting workflow and check:
- What information can the tool access, and what can it change?
- Who reviews the output, and what evidence is retained?
- Are any commercial interests relevant to its selection or assessment?
Record the answers in your free AIGAS AI Tool Register and assign an owner to any gaps.
Good governance helps firms move forward with AI. It starts with visibility: we cannot govern what we cannot see.