Know what needs attention
See delivery risks, customer issues, cash concerns, and important changes in one prioritized view.
Maya Help Center
Understand your business.
Put the next action in motion.
Maya is an AI employee that works across the systems your business already uses. It finds what matters, explains why, produces evidence-backed work, and safely owns recurring outcomes.
BUSINESS VALUE
From fragmented systems to clear decisions
Maya does not replace your systems of record. It connects their context so leaders and teams can act with confidence.Turn answers into repeatable work
Convert a useful investigation into a task that runs on your schedule.
Keep every claim traceable
Important conclusions retain evidence, source health, and data-freshness context.
THE MAYA MODEL
One simple journey from question to ownership
- 1
Ask
Describe a question or outcome in ordinary business language.
- 2
Connect
Grant scoped access to the systems Maya needs—never more.
- 3
Investigate
Maya reviews information across sources and resolves conflicts.
- 4
Deliver
Receive a crisp result with priorities, recommendations, and evidence.
- 5
Own repeatedly
Schedule the outcome and keep external actions approval-gated.
BUSINESS CONTEXT & SIGNALS
From connected records to a trusted view of what matters
Maya builds a private, evidence-backed working picture from the systems you authorize. It watches for meaningful business conditions and turns them into prioritized Signals—not a stream of duplicate alerts.Understand business context
Maya recognizes important entities such as customers, opportunities, and invoices across reviewed datasets while your source systems remain authoritative.
Detect meaningful conditions
Explicit, versioned rules evaluate fresh observations. A Signal is created only when the available evidence supports a condition that deserves attention.
Keep decisions traceable
Signals retain their supporting evidence, freshness, source health, and history. Repeated observations refresh the same Signal instead of creating noise.
PRODUCT GUIDE
Where work lives in Maya
OverviewYour current priorities, risks, changes, and decisions.
AutomationsBusiness outcomes Maya owns on a schedule or on demand.
ResultsDecision-ready reports created by completed tasks.
ActivityA business-readable record of completed, running, and failed work.
ConnectionsThe systems Maya can read from or act through, with capabilities explained.
FilesReports and working documents, with their source work retained.
FOR TECHNICAL AND SECURITY TEAMS
Built for controlled, production-grade work
Maya separates reasoning from execution, keeps access tenant-scoped, and makes consequential actions explicit.Tenant isolation
Work, credentials, artifacts, and execution are scoped to the active business workspace.
Approval boundaries
Reading and analysis can run automatically; consequential external actions require explicit approval.
Durable execution
Background work is queued, retryable, observable, and designed to recover from transient provider failures.
Evidence and provenance
Results identify supporting records, unavailable sources, truncation, and freshness limitations.
Least-privilege connections
Maya favors dedicated identities, narrow scopes, read-only access, and revocable credentials.
Human-readable outputs
Execution details become decision-ready reports instead of exposing raw orchestration logs.
TECHNICAL DESIGN
See how Maya runs securely on AWS
Explore the connected runtime, LLM Gateway, queued execution, data boundaries, model providers, connectors, and operational controls.Open Maya ArchitectureCONNECTION GUIDES
Connect data systems safely
Each guide covers identity, network access, data boundaries, verification, rotation, and revocation.CUSTOM CONNECTIONS
Connect a system Maya does not support yet
Custom connections provide tenant-scoped, read-only access to a documented cloud API. Use a managed Maya connection whenever one is available.Prepare one safe endpoint
Provide the credential-free HTTPS API origin, one GET endpoint, its authentication method, and a small redacted JSON response. Never include secrets or personal data in the sample.
Review before activation
Maya proposes a dataset and field mapping. Deterministic policy pins the host, rejects write methods, limits pagination and response size, and tests the credential before activation.
Keep access controlled
The connection belongs only to your workspace. Credentials are encrypted server-side, are not entered into chat, and can be revoked when access is no longer needed.
COMMON QUESTIONS
What teams usually want to know
What company data can Maya see or store?
Maya can only access the connected accounts, sources, and permissions your company explicitly grants. SimpliMaya does not copy or retain customers’ underlying source-system data. Maya processes authorized data as needed and stores only tenant-isolated operational metadata, evidence references, generated results, approvals, and audit history. Your source systems remain authoritative. Stored records are encrypted and separated by company; disconnecting or revoking a connector stops future access.
Does Maya automatically change our external systems?
No. Reading and analysis can be automatic, while external messages and system changes require approval by default. Every task clearly states its boundaries.
How is this different from a dashboard?
A dashboard shows metrics you already modeled. Maya investigates across systems, explains what changed, identifies decisions, retains evidence, and can own the follow-up repeatedly.
What is a Signal?
A Signal is a durable, evidence-backed business condition that deserves attention—for example, a materially overdue invoice. Maya refreshes the same Signal as new evidence arrives, preserves its history, and avoids creating duplicate alerts for the same condition.
Does Maya copy our systems into a new database?
No. Your connected systems remain authoritative. Maya stores a scoped working context, evidence references, and time-bounded observations needed to explain findings, track meaningful conditions, and keep results consistent across runs.
What happens when a source is unavailable?
Maya discloses unavailable, stale, partial, or truncated sources rather than implying they were reviewed. Provider failures are retried safely, and existing workspace data remains available during transient refresh issues.
Can a business create its own task?
Yes. Templates are examples, not limits. A business can describe the outcome it wants, choose its schedule and sources, set delivery, and define approval boundaries.
READY TO BEGIN?