Connect AI, deterministic logic, people, and systems to automate paperwork from intake to completion.
A capability does one thing well. Parse a file, extract fields, populate a document, request a signature. Valuable on its own but still a single step that someone has to start, check, and hand off.
Automation connects those steps into a process. Extract the data, validate it against your rules, route the exception to an approver, populate the contract, send it for signature, then update the system of record. One execution, one result to track.
Parse → Extract → Validate → Generate → Approve → Sign
Capabilities describe what CloudRaker can do. Automation describes how they work together and execute at scale across files, people, systems, and AI.
Run several capabilities across the same file set in a single execution. Every file is parsed once, the steps run in sequence, and the whole chain reports under one run ID. Parse, classify, split, extract, validate, convert: one call, one result, less processing overhead.
CloudRaker found page 6 and attached the source.
Ready for approval after clause update.
Approve with noteLet AI coordinate the work that needs judgment. Agents read context, choose an approved action, reason across several steps, and request a human approval when policy requires one. They operate inside defined permissions, not with open-ended autonomy.
Paperwork moves without waiting for someone to press start. Trigger a capability, a pipeline, or a full workflow from an event, a condition, a schedule, or a business rule, and define what happens next.
Draft approved by Legal
Signature packet issued
Hash recorded on evidence log
React to CloudRaker events in real time. Notify your systems the moment a run, action, approval, or workflow changes state. Every delivery carries a public-key-signed JWT verified against a published JWKS, so there is no shared secret to store or rotate.
Template looks good
Save a capability configuration once, then reuse it across API calls, pipelines, agents, and workflows. Update it in one place and every caller inherits the change: approved, versioned, and traceable.
A file lands, a form is submitted, a record changes, a renewal date arrives, or a schedule fires. The run starts itself; no one has to press start.
Capabilities do the work in the order your pipeline defines: parse, classify, split, extract, convert, generate. Every file is parsed once.
Business rules and confidence thresholds separate the clean cases from the exceptions. Work that needs a review waits for a person, then resumes from that decision.
CloudRaker completes the paperwork (populates the document, sends it for signature, issues the certificate), then writes the result back to your CRM, ERP, or case system with the run history attached.
Not every step should depend on a model. CloudRaker combines probabilistic and deterministic execution inside the same run.
People stay in the workflow where they belong. A run can pause for an approval, escalate an exception, or ask for a missing document before it continues. Nothing commits because a model was confident.
Reviewers see the extracted values beside the source page, the rule that triggered the stop, and everything the run did before it reached them. They approve, correct, or reject and the workflow resumes from that decision.
Workflows do not have to start in the CloudRaker interface. The same approved automation runs wherever the work already happens.
Automation is not unsupervised AI. Each control below applies to automated runs exactly as it applies to work a person starts by hand.
Agents, pipelines, and automations inherit the permissions of the identity that owns them. They reach the files, actions, and systems you granted, and nothing else.
Automated work can only call configurations you approved. New actions enter through the Action Library, with a version history behind every change.
Every run keeps its inputs, its steps, the model output, the rule that fired, and the person who approved it. Open any result and see how it was produced.
Automated volume is metered per action, so you can see what a workflow costs before you scale it across the business.
Export the record. Run history, approvals, and source references stay attached to the output for audit, regulator, and client review.
Combine capabilities, rules, and approvals into governed automation, then trigger it from your systems, your inbox, or your API.
Amelia flagged the renewal notice.