riyalabs.ai
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Ways to use a co-worker

Ask
Q&A and analysis on your approved data.
Watch
Proactive alerts & recommendations.
Embed
Call from Slack, CRM, tickets, your existing tools.
Build
Hire a new co-worker, or promote a conversation → workflow.

Real co-workers

Data & Reporting
Answers and explanations from approved sources.
Customer Follow-up
Drafts ready, awaiting your approval.
Operations Triage
Sort, route, flag exceptions early.
Decision Prep
Review-ready briefs with source links.
Featured
Start with one workflow.

In 2—4 weeks we ship a working co-worker for one real business workflow – your data, your tools, human approval.

See the engagement

Position

Why workflow-first
How we differ from platform-first AI.

Data handling & Trust

Identity · Compliance · Operations
How we handle access, audit, and your data.
Security & Compliance
Built so your security team is an ally, not a blocker.
Co-worker monitoring
Observability · guardrails · evaluation · security

By team

Marketing
Reports, dashboards, repeatable workflows.
Finance
Variance, forecast, audit-ready packets.
Engineering
Code reviews, doc lookups, incident triage.
Sales
Pipeline hygiene, customer follow-ups.
Executives
Business 360 – one weekly read.
Trust note
An ally, not a blocker.

Your 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 brief

Solutions

Use cases
Patterns we've shipped, with the work behind each one.
Integrations
CRMs, docs, tickets, data warehouses – the usual stack.
AI School
Learning labs for teams – get fluent before you buy.

Resources

Library
Writing, playbooks, and reference workflows.
About Riyalabs
Who we are. How we work. What we won't do.
AI School
Learn it before you buy it.

Cohort-style learning labs for marketing, finance, ops, and exec teams. Hands-on with real workflows, not slides.

See the curriculum
Mode 01 · Ask

Ask. Pull-mode answers
from your approved data.

Q&A and analysis your team can trust because every answer cites its source.

Book a workflow assessment → All four modes
§01 · How it works

Three steps to a cited answer.

Connect approved sources, ask in plain language, get an answer with the rows it came from.

01

Connect approved sources

CRM, warehouse, docs, tickets, sheets – only what the workflow needs, scoped to least privilege.

02

Ask in plain language

Type the question your team would actually ask in a meeting. No SQL, no prompt engineering.

03

Get a cited answer

Every claim links back to the rows, fields, or documents it came from – auditable on the spot.

§02 · Examples

What teams actually ask.

Four real shapes of question we see every week. Citations included on every answer.

SK
"What changed in last week's customer health?"
r
3 accounts flagged. Northwind −38% usage; Meridian sentiment shift; Lattice renewal stalled.
Cited · Salesforce · Zendesk · Sheets
DM
"Why did revenue dip in week 17?"
r
Two drivers. EU mid-market churn (4 logos, $48K MRR) and a delayed Q2 invoice batch (cleared this week).
Cited · NetSuite · Salesforce
PG
"What's our refund policy for enterprise plans?"
r
Found in 2 docs. Pro-rata within 30 days; legal review required for refunds > $50K.
Cited · Notion · Legal KB
AS
"Why is the Q3 forecast slipping?"
r
$1.2M variance. 6 deals slipped from Sep → Oct; 2 are still in active negotiation, 4 are at risk.
Cited · Salesforce · Forecast sheet
§03 · Engines used

What's under an Ask co-worker.

Three of our five engines do most of the work in Ask mode.

Data Analysis Agent

Answers business questions with citations. Identifies likely causes across multiple approved sources.

Cited · Multi-source

Anomaly Detection Agent

Spots outliers and drift in the data Ask is reading, so the answer mentions what's unusual.

Always-on · Threshold-tuned

Dashboard Agent

Turns a recurring Ask query into a refreshing, source-cited dashboard the team can revisit.

Reports · Live refresh
§04 · Controls

Trust controls, baked in.

Ask mode ships with these on by default – not as an upgrade tier.

Source citation on every answer

Every claim links to the rows, fields, or documents it came from.

Least-privilege access

Read scopes are narrowed to the workflow's actual data needs – no blanket reads.

No unnecessary data storage

We don't copy your data to train. Context is fetched per-query and discarded.

Query audit log

Every question, source touched, and answer is logged for review by your team and security.

Get started

Bring one question your team asks every week.

We'll wire up the right approved sources, prove the answer is cited and correct, and hand back the workflow your team can run.

Book a workflow assessment → Email Riyalabs