Enterprise AI Agents Your Whole Team Can Build
Create custom AI agents grounded in your company's knowledge, give them tools to take real actions, and deploy them to your team — no code required.
What are enterprise AI agents?
Enterprise AI agents are AI assistants built for a specific business task, grounded in a company's own documents and connected to its internal systems, with the security and access controls that organizations require. Unlike a general-purpose chatbot, an enterprise AI agent answers from your data and can take actions in the tools your team already uses.
On Arkios Enterprise, anyone can build an agent from a dashboard without writing code. You define the agent's instructions, attach knowledge sources for retrieval-augmented generation (RAG) with citations and reranking, and add tools so the agent can act — post to Slack, query a database, look up a Stripe charge, or call any HTTP API.
Every agent runs under role-based access control with full audit logs, end-to-end encryption, and a zero data training guarantee, so IT and security teams can approve deployment with confidence.
What you get
Grounded answers from your knowledge
Connect enterprise documents as knowledge sources and agents answer using retrieval-augmented generation with reranking for accuracy. Every response includes citations back to the source document, so users can verify answers instead of trusting a black box — essential for policies, contracts, and technical documentation.
Tools that take real action
Agents go beyond answering questions. Give them tools to send Slack messages, look up Stripe payments, update your CRM, query databases, or call any HTTP API. Custom connectors let you wire agents into internal systems, turning conversations into completed work.
Role-based access control built in
Owner, admin, member, and viewer roles govern who can build, edit, and use each agent. Team-based sharing means a finance agent stays with finance and a support agent stays with support — access follows your org structure, not the other way around.
20+ models, one platform
Choose from more than 20 LLM models and pick the right one per agent — a fast, inexpensive model for routine lookups, a frontier model for complex reasoning. Swap models anytime from the agent builder without rebuilding the agent or retraining anything.
Audit logs, encryption, zero training
Full audit logs record agent activity for compliance review. Data is encrypted end to end, and your documents and conversations are never used to train models. Security teams get the visibility they need; employees get AI they're actually allowed to use.
How it works
- 1
Create your agent
Open the agent builder from your dashboard, name the agent, and write its instructions in plain language — what it does, how it responds, and what it should refuse. No code, no prompt-engineering expertise required.
- 2
Connect knowledge sources
Attach the documents the agent should know — policies, runbooks, product docs, contracts. Arkios indexes them for RAG, so the agent retrieves the most relevant passages, reranks them, and cites its sources in every answer.
- 3
Add tools for live actions
Enable the actions the agent needs: Slack, Stripe, your CRM, databases, HTTP APIs, or custom connectors to internal systems. You decide exactly which tools each agent gets — nothing more.
- 4
Deploy and share with your team
Publish the agent and share it with the right teams. Role-based permissions control who can use or edit it, and audit logs track every interaction from day one.
Use cases
IT and HR helpdesk agent
Connect your policy handbook, IT runbooks, and benefits documentation. Employees ask questions in plain language and get cited answers from the official source, while the agent files tickets through your service desk API — deflecting repetitive requests without losing accuracy or an audit trail.
Customer support copilot
Ground an agent in your product docs and past resolutions, then give it tools to look up orders in Stripe and customer records in your CRM. Support reps get instant, sourced answers and account context in one place instead of tabbing between five systems.
Sales and RevOps assistant
An agent connected to your CRM and pricing documentation can prep reps before calls, draft follow-ups, summarize account history, and post deal updates to Slack. Team-based sharing keeps it scoped to revenue teams, with every action recorded in the audit log.
Compliance and policy Q&A
Legal and compliance teams publish an agent over current policies and regulatory documents. Employees get consistent, citation-backed answers instead of forwarding questions to overloaded specialists, and zero data training ensures sensitive material never leaves your control.
Frequently asked questions
How do I build an AI agent for my company without coding?
Use a no-code agent builder like Arkios Enterprise. From the dashboard, you create an agent, write its instructions in plain language, attach knowledge sources, and enable tools like Slack, Stripe, your CRM, or HTTP APIs. The agent is ready to share with your team in minutes — no developers or infrastructure required.
Are AI agents secure enough for enterprise data?
On Arkios Enterprise, yes. Agents run with end-to-end encryption, full audit logs of activity, and role-based access control with owner, admin, member, and viewer roles. Your documents and conversations are never used to train models, and team-based sharing keeps each agent scoped to the people who should use it.
How much do enterprise AI agents cost?
Arkios Enterprise costs $25 per user per month, flat. There are no per-agent fees, so you can build and deploy as many AI agents as your teams need without the bill scaling unpredictably. A 14-day free trial lets you build and test agents before paying anything.
Which AI models can my agents use?
Arkios Enterprise gives you a choice of more than 20 LLM models. You pick the model per agent in the builder — a lightweight model for simple, high-volume tasks or a frontier model for complex reasoning — and you can switch models at any time without rebuilding the agent.
Can AI agents take actions, or just answer questions?
Both. Arkios agents answer questions using RAG over your documents with citations, and they take live actions through tools: posting to Slack, looking up Stripe payments, updating CRM records, querying databases, or calling HTTP APIs. Custom connectors extend agents to your internal systems, all governed by access controls and audit logs.
Explore the platform
Deploy AI across your enterprise
One platform, one price — $25/user/month with a 14-day free trial. No per-agent fees, no usage surprises.
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