# Plug it into the systems you run · Dscvry > Connect the AI to the systems you already run, with no migration first, old systems included and your permissions set for each one. Source: https://dscvryai.com/technology/apis/ # Plug it into the systems you run. No migration first, and old systems included. You decide what it can read and write in each one, and every call is logged. The APIs we build · How it connects · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## The APIs we build. Call our models and solutions from your own systems, with the permissions for each one written down. - ### Model APIs Call our model families from your own systems. Every output comes back with its source. - ### Your model, served The models we train for you, served through the same API and run on your own servers. - ### Solution APIs Production loss, reconciliation or contract review, built into the systems your teams already use. - ### Agent APIs Hand a task to an agent and get the result back, including where it stopped for a person. - ### Data APIs The data we collect, clean and match for you, served to any system that needs it. - ### Events Your systems get an alert the moment something needs attention, with the evidence attached. - ### Custom APIs We wrap your models, data and workflows in an API your teams and partners can call, wherever it runs. ## The work lives in systems nobody will replace. Most operations run on ERPs, maintenance systems and case tools that are decades old, heavily customised and too important to touch. A new tool that needs them replaced first never gets started. ### Migration first. Most tools want your data moved before they can help, and the project dies there. ### No modern API. The system that matters most is often the one with no clean way in. ### Another screen to check. A separate destination is one more place people forget to look. ## How the AI connects. How the AI reaches the systems you already run, and where its findings appear. Can it reach the systems we already run? ### Connected, with the permissions you choose. ERP, maintenance, document, ticketing and plant systems reached through whatever each one offers, with read and write set per system. See it on maintenance planning → https://dscvryai.com/use-cases/maintenance-planning/ Our system has no API. Now what? ### No API? That’s fine. Where there is no clean interface, the AI reads the screens, the nightly reports or the exports, and checks them against each other. See it on stock shortages → https://dscvryai.com/use-cases/stock-shortages/ Do we need another screen? ### Where your team already looks. Findings appear inside the tools people already have open, next to the record they’re working on. See it on customer complaints → https://dscvryai.com/use-cases/customer-complaints/ Can our software call it directly? ### Or call it from your own systems. Your own software can call the AI directly and get back a result with its reasons and sources. See it on supplier quality → https://dscvryai.com/use-cases/supplier-quality/ ## Use the best way in each system offers. A proper API where one exists. Files, reports or screens where it doesn’t. Every connection runs inside your boundary, with its permissions written down. Every system Sense Everything the work touches. APIs Rules & code Where the system offers one. Files & reports Rules & code Exports, drops and scheduled reports. Screens Specialized model Legacy screens read like a person would. Permissions Operate Read and write set per system, logged. ## Connected, without changing a thing. Every connection leaves a record of what it read, what it wrote and who approved it. Here, a 30-year-old maintenance system, working with the AI. **Migration.** None. **Writes.** Only planning notes, only after approval. **Owner.** Maintenance systems team. Illustrative example. System, work orders and dates are fictional. ## Built to fit in, not take over. The AI joins your systems; it doesn’t ask them to change. - ### Inside your boundary. Connectors run where the AI runs, including air-gapped sites. Where it runs · - ### Written permissions. Every connection has its read and write rights recorded and enforced. [How Operate works](https://dscvryai.com/technology/operate/) - ### Agents use them too. Agents act only through the connectors you approve. [Agents](https://dscvryai.com/technology/agents/) ## Where it connects. Problems stuck inside systems nobody will replace. What needs maintenance, and when? ### Maintenance planning Decide what should be maintained, and when. See how → https://dscvryai.com/use-cases/maintenance-planning/ What runs out before the next delivery? ### Stock shortages Anticipate shortages before they become a problem. See how → https://dscvryai.com/use-cases/stock-shortages/ 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/ Does this PO match what we’re paying? ### Purchase orders Find mismatches before payment. See how → https://dscvryai.com/use-cases/purchase-orders/ ## Where it runs. Connectors run where the AI runs, from hosted to air-gapped, inside your boundary. ### 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 · ## Put them to work. APIs carry the rest of what we build into your systems. Each is built on the same tested foundations. ### Models Specialist models, evaluated on your data and run inside your boundary. Explore Models → https://dscvryai.com/technology/models/ ### Agents Agents that run on their own and hand over to a person at the decisions that matter. Explore Agents → https://dscvryai.com/technology/agents/ ### Products Ready-made products for recurring jobs, from documents and contracts to sustainability data. Explore Products → https://dscvryai.com/technology/products/ ### Data Data collected, extracted and governed, with every value traced to its source. Explore Data → https://dscvryai.com/technology/data/ ### Evaluations Tests built from your own cases, rerun every time a model changes, so you always know how well it does your work. Explore Evaluations → https://dscvryai.com/technology/evaluations/ ## 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