Least-privilege access
The co-worker is granted only the data and tool scopes it needs for the workflow. Nothing wider, nothing "for future use."
In 2—4 weeks we ship a working co-worker for one real business workflow – your data, your tools, human approval.
See the engagementYour data does not need to move to Riyalabs. We map the workflow, identify the minimum context, and choose the deployment model that fits your risk level.
Read the security briefCohort-style learning labs for marketing, finance, ops, and exec teams. Hands-on with real workflows, not slides.
See the curriculumIdentity. Compliance. Operations. The three things your team will ask about – and how a Riyalabs co-worker is designed to answer them.
Access is the first lane your security team will check. We design every co-worker against least-privilege from day one – never the other way around.
The co-worker is granted only the data and tool scopes it needs for the workflow. Nothing wider, nothing "for future use."
One token per source, scoped to read-only by default. Write actions require a separate, explicit scope and an approval gate.
Every co-worker has a named owner on your side. Roles for reviewer, approver, and admin are explicit – never assumed.
Designed to plug into your existing identity provider. No parallel directory for "Riyalabs users" to manage.
Compliance is the lane that survives the engagement. Every Riyalabs co-worker is designed so an auditor can answer the questions in minutes, not weeks.
Every output the co-worker produces shows the sources it pulled from. "Where did this come from?" has a one-click answer, every time.
Every action the co-worker takes, every prompt, every approval, every send – logged with the user, timestamp, and data scope used.
Before code ships, we walk your security team through the exact data-flow diagram: which fields move, which stay, where they live. No surprises.
Every co-worker has a documented disable path. If something goes wrong, you can revoke and roll back without calling us – though we'll be on the call.
Most "AI projects" stop being talked about a month after launch. The operations lane is how we keep a co-worker honest year over year.
Prompts, tools, and data scopes are versioned. You can see what version produced any past output – and roll back if a change makes things worse.
A single owner-controlled toggle disables the co-worker immediately. No support ticket, no waiting, no "let me check with Riyalabs first."
The approval queue is owned by a named human on your team – not a Riyalabs employee. We can help, but we don't approve your work.
Every 90 days we sit with the owner: what shipped, what got declined, what should change. Drift is caught early, not after a year.
Bring a candidate workflow. We'll map identity, compliance, and operations specifically for it – before any code gets written.