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Construction & Trades Sektöründe Credit Control Görevini Otomatikleştirin

In construction, credit control is a high-stakes game of navigating staged payments, CIS tax deductions, and the 'industry standard' 60-day delay. Cash flow is the only thing standing between a profitable project and a business-ending liquidity crisis when material costs spike.

Manuel
15-20 hours per week
Yapay Zeka ile
2 hours per week

📋 Manuel Süreç

Friday afternoons are traditionally lost to a frantic spreadsheet of 'pending' payments while the office manager plays phone tag with site foremen who never answer. You are manually cross-referencing paper delivery notes against staged invoices and often forgetting to track the 5% retention fees that sit dormant for 12 months. It is a reactive, stressful cycle of begging for money that has already been earned.

🤖 Yapay Zeka Süreci

AI tools like Chaser or Satago sync with your accounting software to send automated, 'human-sounding' nudges that escalate in urgency based on the debtor's specific profile. Systems like Know-it provide real-time credit monitoring of your contractors, while AI-driven reconciliation automatically handles CIS splits and sets precise triggers for retention release dates. The system flags payment friction points before they become bad debts.

Construction & Trades Sektöründe Credit Control İçin En İyi Araçlar

Chaser£50/month
Know-it£40/month
Satago£75/month

Gerçek Dünya Örneği

Two electrical contractors in Manchester, Sparky-Solutions and Volt-Tech, both hit £1.5m turnover in 2024. Sparky-Solutions kept credit control manual; by October, they had £210k locked in overdue invoices and had to take a high-interest loan to pay their subbies. Volt-Tech implemented Chaser and an AI-risk monitor for £75/month. They reduced their Days Sales Outstanding (DSO) from 58 to 34 days and, crucially, the AI flagged a Tier-1 contractor's dipping credit score 3 months before they went into administration, allowing Volt-Tech to stop work and save £45k in unpaid labor.

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Penny'nin Yorumu

Most construction firms treat credit control as a 'polite nagging' exercise. That’s a fundamental misunderstanding of the industry's power dynamics. In construction, the person not paying you isn't usually broke; they are using your cash to fund their next project. They use 'missing paperwork' or 'the surveyor hasn't signed it off' as tactical delays. AI changes the game by removing the friction they rely on. By automatically attaching the proof of delivery, the signed-off work sheet, and the perfect CIS calculation to every automated reminder, you eliminate their excuses. You aren't just 'chasing'—you are performing a pre-emptive audit. The real 'aha' moment for trades is the retention tracking. Thousands of pounds in 5% chunks get 'lost' in the system because nobody remembers to invoice for them a year later. AI doesn't forget. It turns those forgotten percentages into pure bottom-line profit with zero manual effort.

Deep Dive

Methodology

Predictive Milestone Risk Scoring (PMRS) for JCT/NEC Contracts

  • Deploying LLM-based agents to parse 'Pay Less Notices' and payment certificates against the original Bill of Quantities (BoQ) to identify discrepancies in real-time.
  • Using predictive analytics to score the likelihood of payment delays based on historical performance of Tier-1 contractors and specific project stage complexity (e.g., groundworks vs. fit-out).
  • Automating the 'Notice of Intent to Suspend' workflow, triggered by AI when cash flow thresholds hit a critical 'liquidity floor' relative to current material price volatility.
  • Real-time reconciliation of Variation Orders (VOs) captured via site-logs into the credit control ledger, preventing 'unapproved extras' from causing 60-day payment friction.
Data

Automated CIS & Retention Ledger Management

In construction, 5% retention and Construction Industry Scheme (CIS) deductions represent significant 'trapped' capital. Our AI transformation framework implements automated verification of subcontractor UTR (Unique Taxpayer Reference) status against HMRC databases, ensuring correct 20% or 30% deductions are applied instantly. Furthermore, the system tracks retention release dates—often hidden in multi-year contracts—automatically generating 'Application for Payment' triggers 30 days prior to the release date to ensure liquidity is recovered as soon as the defects liability period ends.
Risk

Mitigating 'Pay-When-Paid' and Liquidated Damages (LADs)

  • Sentiment analysis on project manager correspondence to detect early warning signs of potential Liquidated and Ascertained Damages (LADs) claims that threaten final account settlement.
  • AI-driven monitoring of material supply chain lead times; if a delay is detected, the system automatically drafts 'Extension of Time' (EOT) notices to protect the credit position against penalty clauses.
  • Dynamic credit limit adjustments for clients based on 'Work in Progress' (WIP) vs. certified value, ensuring exposure doesn't exceed the firm's specific cash-to-debt ratio during high-cost stages like structural steel installation.
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Construction & Trades İşletmenizde Credit Control Görevini Otomatikleştirin

Penny, construction & trades işletmelerinin credit control gibi görevleri doğru araçlar ve net bir uygulama planı ile otomatikleştirmesine yardımcı olur.

Aylık £29'dan başlayan fiyatlarla. 3 günlük ücretsiz deneme.

Aynı zamanda işe yaradığının da kanıtı; Penny tüm bu işi sıfır personelle yürütüyor.

2,4 milyon £+tasarruflar belirlendi
847roller eşlendi
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