# Every line compared. Only the gaps reach you · Check · Dscvry > Check compares, reconciles, validates, redacts and detects: every record checked against the rules, the contract and every other source, with the evidence attached. Source: https://dscvryai.com/technology/check/ # Every line compared. Only the gaps reach you. Compare, reconcile, match, validate, detect and redact: every record checked against the rules, the contract and every other source, with the evidence attached. What the AI can check · How it works · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## Checking everything is nobody's job. Records are compared on a sample, rules are applied from memory, and sensitive details are removed by hand, when anyone remembers. The mistakes live in the part nobody checked. ### Sampled, not checked. There is time to check a fraction of the lines, so most go through on trust. ### Rules held in heads. Tolerances, limits and contract terms are applied however each reviewer remembers them. ### Verdicts without reasons. A flag that says 'mismatch' without showing why is ignored as often as it's acted on. ## What the AI can check. See exactly what changed. ### Compare Two versions of a contract, drawing or policy set side by side, with every real change shown in place and changes of wording alone kept apart. See it in contract compliance → https://dscvryai.com/use-cases/contract-compliance/ Every source, lined up. ### Reconcile Two, three or more sources matched line by line, with each break shown where it happens and why. See it in purchase orders → https://dscvryai.com/use-cases/purchase-orders/ The same thing, under different names. ### Match Suppliers, customers and parts matched across systems by what identifies them, such as tax numbers, bank accounts and addresses, not by how the name is spelled. See it in purchase orders → https://dscvryai.com/use-cases/purchase-orders/ Your rules, applied every time. ### Validate Every record checked against your rules and contract terms, not a sample, with the evidence for each pass and fail. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ Notice what doesn't fit. ### Detect Duplicates, outliers and patterns that sit just under a limit, found across all the records rather than one at a time. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ Personal data out, before it travels. ### Redact Names, addresses, card numbers and health details found and removed before a record is shared, with the original kept under access control. See it in customer complaints → https://dscvryai.com/use-cases/customer-complaints/ ## Rules first. Judgement where it's needed. Most checks are exact: a total, a rate, a date, a match. Those run as rules, which are cheap and never drift. Models are used only for the fuzzy parts, like matching names that are written differently. Every record Understand Every line from every source, not a sample. Exact rules Rules & code Totals, rates, dates, tolerances and limits. Fuzzy matching Specialized model Names, references and descriptions written differently. Patterns Prediction Duplicates and outliers across all records. To a person Operate Only breaks, with the evidence attached. ## £4,500 left the bank. Nothing explains it. Bank reconciliation · cash account 1200 · week 27. Found and explained, not decided. The controller decides what happens next. **Bank.** £4,500.00 paid out on 5 July, reference 7731. **Ledger.** No entry for £4,500.00 in week 27, or within 10 days either side. **Searched.** No open purchase order or invoice for this amount or reference. **Also found.** Fuel payment is £54.00 higher in the bank than in the ledger. Illustrative example. Accounts, payees and amounts are fictional. ## Built for audit. A check that can't be explained isn't a control. - ### Every verdict has its reasons. Each pass and fail shows the rule, the values and the sources behind it. [Invoice Errors](https://dscvryai.com/use-cases/invoice-errors/) - ### Your rules, versioned. Rules and tolerances are yours, and every result records which version it used. [Security & trust](https://dscvryai.com/security/) - ### People decide. The AI checks and explains. People approve, override and sign. [How Operate works](https://dscvryai.com/technology/operate/) ## Where it shows up. Problems that come down to a check. Which invoices are we overpaying? ### Invoice errors Catch overbilling, duplicates and mistakes before payment. See how → https://dscvryai.com/use-cases/invoice-errors/ Does this PO match what we’re paying? ### Purchase orders Find mismatches before payment. See how → https://dscvryai.com/use-cases/purchase-orders/ Did they deliver what the contract says? ### Contract compliance See whether obligations were actually met. See how → https://dscvryai.com/use-cases/contract-compliance/ Is the supplier’s evidence complete? ### Supplier quality Find missing or inconsistent evidence. See how → https://dscvryai.com/use-cases/supplier-quality/ ## Where it runs. The AI goes to where the work is, from hosted to air-gapped. ### A managed environment. Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement. Discuss hosted · ## The other capabilities. Each one is tested on your own work before you rely on it. ### Sense It sees, hears and reads the work as it happens. Explore Sense → https://dscvryai.com/technology/sense/ ### Understand From piles of paper to records you can use. Explore Understand → https://dscvryai.com/technology/understand/ ### Investigate Follow the evidence across systems. Find out what happened, and why. Explore Investigate → https://dscvryai.com/technology/investigate/ ### Anticipate Know what comes next, and plan for it. Explore Anticipate → https://dscvryai.com/technology/anticipate/ ### Operate The next step, taken. The reason, recorded. Explore Operate → https://dscvryai.com/technology/operate/ ## Bring us the work where wrong is expensive. Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run. [Talk to us →](https://dscvryai.com/contact/) **London**Discovery AI Limited · United Kingdom **Hyderabad**ReDscvry Technology Private Limited · India **Chennai**ReDscvry Technology Private Limited · India