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 curriculumTwo ways to grow: hire a brand-new co-worker for a specific workflow, or turn one of today's successful conversations into a repeatable, approval-gated job.
Pick the path that matches where your team is – a fresh engagement, or a fast promotion of something already working.
We design, build, and ship a working co-worker for one real business workflow – your data, your tools, human approval. The whole loop in one engagement.
Take a recurring question your team already asks – and promote it into a saved, scheduled, approval-gated workflow. Same answer. Now repeatable.
Strategy, build, and run – the whole loop, one engagement. We stay around after launch, not just for the keynote.
A custom co-worker can pull from any combination – the engagement picks the mix that matches the workflow.
Generates source-cited dashboards, refreshes on schedule, and explains every chart in plain language.
Reports · Live refreshAnswers business questions with citations. Identifies likely causes across multiple approved sources.
Cited · Multi-sourceRuns what-if scenarios on your data – pricing, capacity, forecast variance – with assumptions you can audit.
Scenarios · Assumptions visibleTracks a defined business goal week-by-week, recommends the next step, and routes the action to the owner.
Goal-anchored · Action-ledWatches your data streams. Flags outliers and drift before they grow, with thresholds you can tune.
Always-on · Threshold-tunedEvery Build co-worker ships with a clear off-ramp, a known expansion path, and version history.
Every co-worker ships with a one-click disable and a documented manual fallback for the workflow.
The engagement ends with a written plan – what to expand next, what to leave alone, and why.
If we change a behavior, you get notice and a migration path. Nothing changes silently.
Prompts, tools, and approval rules are versioned. Diff what changed, when, and who approved it.
Riyalabs will help assess whether it's a good candidate for your first AI co-worker, what data it needs, what controls are required, and how to prove value safely.