Invoice automation business case at a regional logistics firm
A regional logistics firm processes 2,000 supplier invoices a month. Each takes 4.5 minutes to key in manually; a clerk costs €30 per hour fully loaded. A generative AI extraction pilot achieves 82% straight-through processing. The remaining 18% need 2.5 minutes of human review; straight-through invoices need 0.2 minutes of oversight. About 1.5% of all invoices contain an error that costs €18 to correct. The pilot costs €45,000 to implement and €1,200 per month in licences. The finance director wants a 12-month payback. The vendor offers a 12-month contract; invoice volume is expected to fall 10% next year. The firm has 14 finance staff, and two suppliers account for 30% of invoice volume.
1. Calculate the annual net benefit and payback, and decide whether the 12-month payback target is met.
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Manual cost: 2,000 × 4.5 min = 9,000 min = 150 hours per month × €30 = €4,500 per month = €54,000 per year. AI labour: 1,640 straight-through × 0.2 min = 328 min; 360 reviewed × 2.5 min = 900 min; total 1,228 min = 20.47 hours × €30 = €614 per month = €7,368 per year. Error cost: 1.5% × 2,000 = 30 invoices per month × €18 = €540 per month = €6,480 per year. Year 1: savings €54,000 − (€7,368 labour + €14,400 licence + €6,480 errors + €45,000 implementation) = −€19,248. Year 2 before volume decline: €54,000 − €28,248 = €25,752; monthly net €2,146; payback ≈ €19,248 ÷ €2,146 ≈ 9 months into year 2, or about 21 months. With a 10% volume fall, year 2 net is about €21,737 and payback is about 23 months. The 12-month target is not met on these figures.
2. Identify non-financial factors and risks that could change the decision.
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Invoice errors may be misposted, paid twice or mask fraud; a 1.5% error rate may be understated if straight-through invoices are not sampled. Supplier relations and payment terms suffer if extraction fails silently. Audit trail and approval limits matter for financial control. Supplier bank details are personal and financial data, so GDPR and security controls apply. Model drift is likely when supplier formats change; the pilot's 82% may not hold on new suppliers. Staff morale and redeployment affect adoption. Vendor lock-in, exit and data-portability terms matter because the licence is fixed while volume falls, worsening unit economics. A 10% volume decline also means fixed licence costs consume a larger share of savings.
3. Recommend whether to sign the 12-month contract, scale, or renegotiate. Justify your answer.
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Do not sign the 12-month contract on the current business case. Negotiate a volume-based licence, a three-month extension with success gates (straight-through at least 85%, error cost no more than €18 per invoice, review time no more than 2.5 minutes) and an exit or portability clause. If the vendor will not move, run a smaller pilot on the top two suppliers (30% of volume) to prove accuracy and build evidence. Consider tiered review: high-value invoices always human-checked; low-value straight-through with sampling. The 10% volume decline makes a fixed licence worse; per-invoice pricing aligns cost with demand. Proceed only if strategic benefits such as audit trail, scalability and fraud detection justify a longer payback, and state that explicitly to the finance director.