The rul.ai platform
A single agent runtime with two halves: a neural layer that understands language, and a symbolic layer that governs what the agent is allowed to do about it. Configured through a visual, low-code studio, so business and technical teams can adjust it without a deploy.
One agent brain. Two ways of thinking.
Every turn of every conversation moves through the same four stages: a neural half that understands, and a symbolic half that governs.
Understand
The neural language layer reads intent, sentiment and context from any channel, handling multiple intents and mid-conversation topic switches, not just a linear decision tree.
Reason
The agent grounds every answer in your knowledge base and systems of record, reasoning over real data rather than a static script, to minimize hallucination.
Govern
The proposed reply or action is checked against business rules, compliance constraints and decision tables before it ever reaches the customer.
Act
The approved action executes (a reply, a transaction, a ticket, or a hand-off) through 100+ pre-built connectors, with the full decision path logged.
Hybrid search, tuned to the question
Straightforward questions are answered by fast, lightweight retrieval against your knowledge base. Harder, multi-step questions escalate to a deeper reasoning agent that checks its own draft answer against your knowledge base before it responds, rather than answering in a single pass.
Customer context
Conversation history, preferences and second- or third-party data travel with the customer, so every interaction picks up where the last one left off.
Proactive engagement
The agent doesn't just wait to be asked. It can open a conversation on its own, from a policy renewal to a delivery delay, based on the signals you configure.
Customers switch channels. Your agent shouldn't lose the thread.
State, history and policy travel with the conversation, from an IVR call, to a chat window, to a live agent's screen, so context never resets and customers never repeat themselves.
Change the agent's behavior without a code deploy.
Describe it, generate it, then refine it visually. Scripting is there for the edge cases, and every change is versioned.
Build from one sentence
Describe the agent in plain language. rul.ai designs the flows, generates typed actions against your tables, and scores its own design before you create anything. See the seven steps →
Drag-and-drop workflow design
Build and revise conversation flows visually, with no ticket to engineering required for routine changes.
In-console scripting
Drop into custom logic at any point in the conversation for the cases the visual builder can't cover.
A/B and regression testing
Test changes against saved conversation cases before they reach production.
Version control & rollback
Every policy and workflow change is versioned, so a bad change is a rollback, not an incident.
Role-based access
Identity and access management controls who can change what, separating conversation design from policy approval.
Your vocabulary, understood
Teach the language layer your product names, account types and terminology, so it reads your customers the way your staff do.
Analytics built for the people who have to answer for the agent.
Every conversation is a data point, down to the event level, for the teams who tune, audit and improve the agent.
Real-time dashboards
Macro and micro-level views, customized to what each team actually needs to watch.
Event-level detail
Drill into a single conversation's transcript, or a workflow's trigger and confusion points.
Continuous improvement
A recommendation engine surfaces recurring gaps from past conversations, with the reasoning behind each suggestion.
Analytics API
Pipe conversation and outcome data into your own BI stack, with no need to live inside our dashboard.
Plugs into the systems you already run.
rul.ai reads and writes to the systems of record your teams already use, with no rip-and-replace.
Contact-center & telephony
Route and resolve calls, chats and callbacks without replacing your CCaaS stack.
CRM & case management
Read and write customer records inline, so agents act with full account context.
Core banking & policy admin
Check balances, coverage and eligibility directly against systems of record.
EHR & practice management
Schedule, verify benefits and triage within clinical guardrails.
ERP & order management
Look up orders, inventory and logistics status in real time.
RPA & workflow automation
Trigger existing bots and workflows as the final, approved step of an action.
Security and compliance your risk team will recognize.
Deploy fully hosted in the cloud, in a private cloud, or on-premises, with the controls a regulated enterprise expects either way.
Compliance
Built to support GDPR, SOC 2 and PCI DSS requirements.
Encryption at rest
Data encrypted at rest, with regular backup and recovery testing.
Independent testing
Penetration testing aligned to ISO 27001.
Access control
Enforced password policy, restricted remote access, and a formal information-security classification system.
Availability
Full-system redundancy, with a 99.9% SLA on the hosted option.
Accountability
A dedicated Information Security Officer owns the program.