Does AI Accounting Software Save Time? Capterra Report Findings
Key Takeaways
Mandatory e-invoicing starts on 1 April 2029 for B2B and B2G VAT invoices. Confirmed at Budget 2025 after the HMRC and Department for Business and Trade consultation, the mandate shifts the UK from a voluntary regime to a required one for VAT-related transactions between businesses and with the public sector.
A PDF sent by email does not count as an e-invoice. The mandate requires a structured, machine-readable file that passes between buyer and seller software directly, removing the re-typing and transposition errors that come with manual entry.
Peppol is now the confirmed network, not just the likely one. The government confirmed in June 2026 that Peppol will serve as the interoperability framework, using a four-corner model without e-reporting obligations at this stage.
HMRC will not receive invoices in real time in the first phase. Real-time reporting has been deferred until e-invoicing is established, so a future "five-corner" phase is possible but is not part of the current plan.
Budget 2026 is the moment that turns principle into practice. The full implementation roadmap, including technical standards, transitional arrangements and whether the rollout is phased or a single switch-on, is due then — which makes it the point at which practices can start giving clients concrete timelines.
AI is now a standard claim on every accounting platform, so the useful question is whether it saves your team time. Capterra's new report puts that question to ten accounting software providers, Dext among them. Each answered on the record about what their AI does, how many customers use it, and where people still need to step in.
The headline finding is that automation is well past the halfway mark. Eight of the ten vendors say AI now handles more than half of the tasks that were previously manual, mostly bank reconciliation and invoice processing. The report also finds that the everyday workhorses are the unglamorous ones: document capture, transaction matching and report generation. Flashier features like chatbots, fraud detection and cash flow forecasting see far less daily use.
The report is also candid about the limits. Vendors say AI outputs need correcting less than 10% of the time, but judgment-heavy work such as multi-entity reconciliation and AI-written report narratives still stays behind human review.
Capterra's wider survey of 500 US accounting decision-makers backs this up, with nearly half of finance teams checking every AI output. The vendors in the report largely agree that AI should support accountants and bookkeepers rather than replace them, freeing them for higher-value work at a time when 73% of organisations say they struggle to keep accounting staff.
If you want to know where AI is earning its keep, where trust is still being built, and where the industry is heading next (natural language querying is the top development priority), the full report is worth your time.
FAQs
According to Capterra's report, yes. Eight of ten vendors say AI now handles more than half of tasks that were previously manual, particularly bank reconciliation and invoice processing.
The most-used features are document capture, transaction matching and report generation. Chatbots, fraud detection and cash flow forecasting are used far less day to day.
Vendors say AI outputs need correcting less than 10% of the time, but judgment-heavy work such as multi-entity reconciliation and AI-written report narratives still needs human review. Nearly half of finance teams check every AI output.
The vendors in the report largely agree AI should support accountants and bookkeepers, not replace them. It frees them for higher-value work, which matters when 73% of organisations say they struggle to keep accounting staff.
