Submit expenses by describing the trip, not filling in a spreadsheet
Sift extracts individual expenses, amounts, categories, dates, and business justifications from free-text expense descriptions so finance teams can process reimbursements faster.
The problem
Employees hate expense reports. They hoard receipts, forget details, and either procrastinate or submit incomplete forms. Finance teams chase missing information and manually categorise every line item. The whole process wastes everyone's time.
The solution
Sift lets employees describe their expenses naturally: 'Had dinner with the client team, £85 at Dishoom. Grabbed an Uber there and back, about £30 total. Also paid for parking at the office on Tuesday, £12.' The AI extracts every expense with amount, category, date, and purpose.
See the extraction
What users type
What you get
Train Manchester-London return, £67.00 — Travel
Coffee (Pret), £4.50 — Meals & Subsistence
Client lunch (Hawksmoor), £95.00 — Client Entertainment
Uber to Euston, £18.00 — Travel
Hotel (Premier Inn Kings Cross), £129.00 — Accommodation
£313.50
Why teams switch to Sift
Natural language expense filing
Employees describe their trip in a paragraph. Sift turns it into a categorised expense report with line items.
Automatic categorisation
Every expense is tagged to the correct category (travel, meals, accommodation, client entertainment) without manual selection.
Business justification captured
Context like 'lunch with procurement lead for Q2 deal' is extracted as the business purpose, satisfying audit requirements.
Higher compliance, lower friction
Employees actually submit expenses on time when the process is a single text field instead of a spreadsheet.
The numbers
80% faster
Submission time
A paragraph takes two minutes. A traditional expense form takes 20-30 minutes per trip.
Up 70%
On-time submissions
Lower friction means employees stop procrastinating and submit expenses promptly.
60% reduction
Finance processing time
Pre-categorised, structured reports require less manual review and fewer follow-up queries.
Recommended fields
Recommended Form Fields
Frequently asked questions
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