Answers, support lanes, and product guidance in one place.

Aris888 AI is a no-code platform for building and deploying governed AI agents with model routing, knowledge grounding, quality controls, analytics, and embeddable widgets.

No. Admins can create agents, upload knowledge, configure behavior, and embed widgets from the dashboard. Engineering is only needed for advanced integrations or custom infrastructure.

Bring your target use case, example questions, a few source documents, deployment channel, success criteria, and any governance requirements such as audit, approvals, or data retention.

Yes. You can create separate agents for different audiences, workflows, languages, and knowledge scopes so each assistant can be evaluated independently.

Common examples include citizen service assistants, HR policy guides, legal intake helpers, finance explainers, support triage assistants, and internal knowledge concierges.

Yes. The platform is designed around routing and provider flexibility, so teams can choose model behavior based on cost, quality, latency, or deployment policy.

Use agent instructions, answer policies, knowledge scope, refusal behavior, and quality gates to shape how each agent responds.

Yes. Agents can support multilingual workflows when their instructions, source content, and user-facing widget copy are configured for the target audiences.

Teams commonly upload policies, manuals, FAQs, service guides, legal templates, HR documents, financial instructions, and operational playbooks.

Agents answer from assigned knowledge sources and configured rules. For sensitive flows, teams can require citations, refusals, or escalation when confidence is low.

Yes. Knowledge can be refreshed as policies and workflows change, then tested before relying on it in a public-facing channel.

Use analytics, conversation review, source updates, instructions, and quality rules to correct behavior. For urgent issues, contact support with the agent name and example prompt.

The widget is designed for one-script deployment. Configure branding and behavior in the dashboard, then place the generated embed snippet on the target site.

Yes. You can align colors, welcome text, launcher behavior, and interface preferences so the assistant feels native to your site.

Yes. Teams can pause deployment or remove the embed while updating behavior, content, or compliance settings.

The widget and marketing pages are designed with responsive layouts. For production use, test the embed on the actual target pages and devices.

Starter is free, Pro is $40/month, and Enterprise is $100/month. See the Pricing page for plan limits and upgrade paths.

Usage usually depends on agents, monthly query volume, knowledge limits, model costs, and enterprise requirements. Exact rules can vary by plan.

Yes. Teams can start small, prove a use case, and move to Pro or Enterprise when usage, governance, or infrastructure needs grow.

Email [email protected] for procurement and plan questions, or [email protected] for account-level billing issues.

Email [email protected] with clear reproduction steps, affected surfaces, severity, and contact details. Avoid public disclosure until the issue is triaged.

Yes. Enterprise discussions can include private LLM deployment, dedicated infrastructure, SSO/SAML, SLAs, audit exports, and custom governance.

Email [email protected] with the request type and the account or organization context needed to locate the relevant data.

Include workspace name, agent name, widget URL if relevant, screenshot or prompt, expected behavior, actual behavior, browser, and urgency.