# The next step, taken. The reason, recorded · Operate · Dscvry > Operate connects the AI to the systems you run, watches for events, routes decisions to the right person and acts within limits you set, with every step logged. Source: https://dscvryai.com/technology/operate/ # The next step, taken. The reason, recorded. Decide, route, draft, converse, act, connect and observe, with a person in charge and every action on the record. How the AI operates · How it works · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## Finding the problem isn't fixing it. A flag in a report changes nothing until someone raises the task, drafts the letter, updates the system and tells the right person. That last mile is where most findings stall. ### Findings go nowhere. Reports list what's wrong; nobody owns turning each line into an action. ### Copy, paste, retype. Moving a finding from one system to the next is manual, slow and error-prone. ### Automation without brakes. Tools that act on their own are exactly what regulated operations can't allow. ## How the AI operates. Your policy, applied to every case. ### Decide Each case approved, escalated or held by your own rules, with the rule and the evidence saved next to the decision. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ Send it to the right person. ### Route Each decision routed by your rules: who approves what, at which amount, and what needs a second check. See it in invoice errors → https://dscvryai.com/use-cases/invoice-errors/ First versions, in your style. ### Draft Replies, reports and forms drafted from your own records and policies, in the tone you use, and sent only when a person signs them off. See it in customer complaints → https://dscvryai.com/use-cases/customer-complaints/ Handle the routine. Hand over the rest. ### Converse Customers and staff helped by chat or phone with answers from your own records, and passed to a person, with the conversation attached, when a case needs judgement. See it in customer complaints → https://dscvryai.com/use-cases/customer-complaints/ Act within limits you set. ### Act The AI drafts, records and raises. What it may never do, it can't, however it is asked. See it in revenue leakage → https://dscvryai.com/use-cases/revenue-leakage/ Into the systems you already run. ### Connect ERP, CMMS, CRM, email and document stores connected with the permissions you choose, from read-only upwards. See it in purchase orders → https://dscvryai.com/use-cases/purchase-orders/ Notice the moment something changes. ### Observe New records, signatures, readings and emails watched as they happen; the ones that matter start a workflow. See it in safety checks → https://dscvryai.com/use-cases/safety-checks/ ## Most steps are plumbing. The decision is a person's. Moving information between systems is rules and connectors. Drafting uses a model. The decision that matters goes to a person, with everything they need on one screen. Events Sense Every new record, reading, signature and message. Rules Rules & code Which events start a workflow, and which don't. Drafts Reasoning Tasks, letters and notes prepared with their sources. People Human Approve, edit or reject, with the evidence in front of them. Actions Rules & code Done in your systems, and logged. ## Eleven minutes, one approval, nothing unsupervised. Workflow run 2217 · invoice query to Northline. Every step logged, every consequential step approved by a person. **10 :41:21.** Invoice INV-8841 held: line 4 above the contract rate. **10 :41:25.** Query drafted with four sources and routed to the AP clerk. **10 :52:03.** Approved by R. Singh, who edited the second paragraph. **10 :52:04.** Sent to the supplier; line short-paid; note added to the ERP. Illustrative example. Workflow, people and times are fictional. ## Built with brakes. In high-stakes work, what a system won't do matters as much as what it will. - ### People approve. Consequential actions wait for a named person, with the evidence on one screen. [Invoice Errors](https://dscvryai.com/use-cases/invoice-errors/) - ### Limits you set. Allowed and forbidden actions are yours, and enforced, not suggested. [Security & trust](https://dscvryai.com/security/) - ### Works through your systems. Connects to what you run instead of replacing it. [APIs & connectors](https://dscvryai.com/technology/apis/) ## Where it shows up. Problems where the finding has to become an action. Which invoices are we overpaying? ### Invoice errors Catch overbilling, duplicates and mistakes before payment. See how → https://dscvryai.com/use-cases/invoice-errors/ What here isn’t safe? ### Safety checks Flag what’s unsafe or incomplete. See how → https://dscvryai.com/use-cases/safety-checks/ What actually happened with this complaint? ### Customer complaints Reconstruct what happened, and how it was handled. See how → https://dscvryai.com/use-cases/customer-complaints/ What needs maintenance, and when? ### Maintenance planning Decide what should be maintained, and when. See how → https://dscvryai.com/use-cases/maintenance-planning/ ## 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/ ### Check Every line compared. Only the gaps reach you. Explore Check → https://dscvryai.com/technology/check/ ### 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/ ## 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