Salesforce delivery / agentic AI
The governed AI delivery agentfor Salesforce.
Describe a change in plain language. Kadentra carries it through requirement, test and build inside your Salesforce org, and your team approves the decisions that matter.
The core idea
Carry business intent from the first ask to governed, working Salesforce software — with people in control at the decisions that matter.
The problem / intent leaks at every handoff
A process can meet the written spec and still miss the outcome.
Directional industry rules of thumb — not measured Kadentra results.
Why now
Three shifts make end-to-end delivery possible.
Reasoning models
Interpret ambiguous business language and retain context across longer chains.
Agentic execution
Work across tools to build, configure and test — with supervision.
Programmable Salesforce
Org metadata and APIs create a path to read, change and validate configuration.
The Kadentra approach
From business intent to governed release.
Nine steps from request to release. Two of them are yours.
- Business requestPlain language
- Refined requirementGaps surfaced
- Human approvalRight requirement?
- User storyAcceptance criteria
- Test casesBefore the build
- Build & configureWithin guardrails
- Test & UATValidate
- Human approvalSafe to ship?
- DeployOnce approved
Every artifact traces back to approved intent; intermediate decisions are checked against the requirement.
What makes it different
Not another copilot, and not autonomous.
Governance built in
Human approval points and an audit trail are part of the workflow, not bolted on after.
End-to-end, not another copilot
Connects organisational context to the work, not just an individual file.
Salesforce metadata-aware
Works with the org's own configuration, standards and APIs.
Book a demo
Tell us about your Salesforce delivery process and we’ll run a real request from your backlog through Kadentra on the call.
