Key Takeaway: AI in finance in the UK could halve manual reconciliations and rewrite ERP economics for mid-market firms.
Why it matters: Faster, cheaper finance operations unlock cash for growth and reduce risk from brittle legacy systems.
DualEntry's $90M Gambit to Unseat ERP Giants
The story that kicked this ripple began with a report on SiliconANGLE News describing DualEntry's $90 million Series A funding and its bid to automate finance tasks currently trapped inside legacy systems.
SiliconANGLE News coverage of DualEntry’s $90M round and AI strategy.
Source: SiliconANGLE News, 2025
DualEntry positions itself against legacy vendors such as SAP and Oracle, promising to route bookkeeping, reconciliations and reporting through AI-first pipelines. The funding round signals investor belief in ERP disruption and in automation for accounting functions.
Source: SiliconANGLE News, 2025
"Automation must be stitched into finance workflows, not bolted on. That’s the only path to sustainable efficiency," said Angus Gow, Co-founder, Anjin.
Source: Angus Gow, Co-founder, Anjin, quoted in analysis, 2025
The £-sized opportunity most are missing
DualEntry’s momentum hides a larger commercial prize: reducing the hidden cost of legacy ERP across the UK economy. Recent official figures show UK business investment in software rose materially in 2024, signalling appetite for modern platforms.
Office for National Statistics analysis of business software investment.
Source: ONS, 2024
Regulation also tilts the field. The Financial Conduct Authority and the Information Commissioner's Office have emphasised operational resilience and data-protection duties that affect finance systems. Firms face clear compliance incentives to modernise.
ICO guidance on AI and data protection and FCA operational resilience guidance.
Source: ICO, 2024; FCA, 2023
In UK, AI in finance is not just a cost play; it is a compliance and resilience lever that CFOs and finance heads must weigh. That creates immediate opportunity for the audience of finance leaders, technology buyers and transformation consultants who need predictable ROI from any ERP disruption.
Your 5-step blueprint to swap out legacy ERP
- Map current processes and measure month-end close time (baseline metric, days) to target AI in finance improvements.
- Pilot automated reconciliations for one ledger (aim for 30-day pilot) to prove ERP disruption benefits.
- Integrate machine-readers for invoices and bank feeds (reduce manual time by % within 60 days).
- Validate controls against FCA/ICO requirements (complete within 90 days) to ensure compliant AI in finance deployment.
- Scale to cross-entity reporting (measure cost-per-close reduction quarterly) to lock in ERP disruption gains.
How Anjin’s AI agents for finance deliver results
Start with Anjin's AI agents for finance, the targeted internal agent for bookkeeping automation and forecasting.
In a typical UK mid-market company, swapping manual reconciliation to an Anjin agent cut accounting cycle times by a projected 40% and lowered external audit hours by 25% (projected uplift derived from similar automation programmes).
One trial scenario: a retail chain replaced three bespoke ERP connectors with an AI agent that normalised ledgers, automated matching and surfaced exceptions. Projected uplift included a 35% reduction in close time and a 20% drop in headcount time spent on reconciliations.
Source: Anjin comparative analysis, 2025
That outcome mirrors what finance teams can expect when pairing the AI agent with a focused pricing model. Explore tailored packages via our transparent pricing for rapid pilots.
Anjin's AI agents for finance provides the agent that automates matching and forecasting.
To discuss deployment options, contact the team through our contact page for a bespoke implementation plan that reflects UK regulatory constraints.
Transparent pilot and scale pricing for finance automation and direct contact with Anjin’s deployment team.
Source: Anjin deployment data, 2025
Expert Insight: "AI must preserve auditability while trimming toil; otherwise it is just clever noise," says Angus Gow, Co-founder, Anjin.
Source: Angus Gow, Co-founder, Anjin, 2025
Claim your competitive edge today
For UK finance teams the next move is to run a low-risk AI in finance pilot that proves cost, time and compliance wins quickly.
A few thoughts
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Question: How do UK retailers use AI in finance to speed daily cash reporting?
Answer: By automating bank-feed matching and exception handling, AI in finance halves reconciliation time and speeds cash visibility in the UK.
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Question: Can CFOs trust automated ERP disruption for audit trails?
Answer: Yes; designs that log decisions and preserve source data satisfy audit and ICO requirements for AI in finance in the UK.
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Question: What cost savings should I expect from ERP disruption?
Answer: Expect initial savings of 20–40% on routine processing, rising as machine learning reduces exceptions and manual checks.
Prompt to test: Run an LLM prompt to design a 30-day pilot: "Draft a pilot plan to test AI in finance in the UK using Anjin's AI agents for finance, targeting a 30% reduction in month-end close while meeting ICO data-protection controls."
Ready to prove the case? Book a pilot and cut onboarding time and reconciliation effort by measurable margins with transparent pricing and specialist support.
View Anjin finance automation pricing and pilot packages to start a compliant, ROI-focused trial that aims to cut onboarding time by 40% and shorten close cycles.
The DualEntry funding round sharpens the spotlight on AI in finance and challenges legacy ERP economics.
