Brilo AI Workflow Control lets you design call workflows with configurable routing rules, escalation criteria, and handoff behavior so the AI voice agent follows your business logic. You can set intent detection rules, confidence thresholds, session limits, and transfer modes so calls route to automation or to people when needed. Workflows are edited in the Brilo AI console and can pass transcripts, intent labels, and metadata to downstream systems or agents via integrations and webhooks. Workflow Control supports common enterprise controls such as retry behavior, idle timeouts, and action limits to reduce risk and predictable failure modes.

How customizable are call workflows? Brilo AI Workflow Control customizes routing, escalation, and handoff to match business rules and compliance needs.

Can I change call routing and handoff rules? Yes; Brilo AI allows rule-based routing, confidence-based escalation, and transfer-mode selection.

What parts of a call flow are configurable? Intent detection, clarification attempts, session persistence, transfer rules, and post-call summaries are all configurable in Brilo AI.

Enterprise buyers ask about Workflow Control because inbound voice workstreams drive customer experience, operational cost, and regulatory risk. Banking, financial services, insurance, and healthcare teams need predictable routing logic so sensitive requests reach trained staff while routine tasks remain automated. Buyers are also concerned about continuity (avoiding repeated questions), how the agent escalates low-confidence calls, and whether workflows can be adapted without engineering changes.

Brilo AI Workflow Control uses declarative rules and agent actions to determine call behavior. You author routing rules and escalation criteria in the Brilo AI console; during a live call the AI voice agent evaluates detected intent and confidence scores, executes actions (for example, call transfer or create a case), and writes session metadata to the call record. The system can append transcripts and structured summaries to help human agents continue the call without repetition.

In Brilo AI, Workflow Control is the set of routing, escalation, and action rules you configure to control how the AI voice agent handles each call.

Related technical terms: routing rules, intent detection, confidence threshold, call transfer, session limits. For details on intent detection and how the agent understands callers, see the Brilo AI article on how the AI understands caller intent: Brilo AI: How the AI understands what the caller wants.

Brilo AI enforces operational guardrails so workflows remain predictable. You can require a set number of clarification attempts before escalating, set maximum call duration and idle timeouts, and block the agent from executing high-risk actions unless human authorization is configured. Brilo AI also supports confidence-based routing so the voice agent automatically hands off when intent detection falls below your configured threshold.

In Brilo AI, confidence threshold is the configured score below which the AI voice agent triggers clarification, marks the interaction for review, or routes to human agents.

Only enable sensitive actions in workflows that have a documented human approval step; do not permit the voice agent to perform regulated transactions without human oversight. For guidance on uncertain-call handling and recommended guardrails, see: Brilo AI: What happens when the AI is unsure?

Healthcare: A hospital call center uses Brilo AI Workflow Control to screen inbound appointment calls. The agent collects patient identifiers, checks appointment intent, and routes medication or diagnosis questions to a nurse triage team while routing scheduling requests to the automated booking flow. If the caller mentions clinical terms or requests a clinician, the workflow escalates immediately to a human.

Banking / Financial Services: A retail bank configures Brilo AI to handle balance inquiries and basic payments automatically but to warm transfer any requests that mention account disputes, suspicious transactions, or payment reversals. The transfer includes a short summary and the last 60 seconds of transcript so the receiving agent can act without asking the caller to repeat details.

Insurance: An insurer sets session limits to avoid unbounded context drift during long claims conversations, configures confidence thresholds to trigger human review for ambiguous liability claims, and adds warm-transfer summaries to accelerate claim resolution.

Brilo AI supports multiple handoff modes and passes structured context during escalation. Typical options include cold transfer (agent drops and dials the human endpoint), warm transfer (agent alerts the human first), and warm transfer with context summary (agent sends intent, key entities, and transcript snippets). Handoff triggers include explicit caller request, low confidence scores, keyword hits (for sensitive topics), elapsed call time, or a configured number of clarification failures.

When configured, Brilo AI attaches session metadata, detected entities, and the recent transcript to the handoff so the human agent receives contextual data via the console or the destination system. You can also configure fallback routing: if the target endpoint is unavailable, the workflow can queue the call, take a voicemail, or retry another team.

For specific configuration steps on interruptions and transfer modes, see: Brilo AI: Can the AI handle interruptions during a call?

For guidance on long-call handling and session persistence, see: Brilo AI: Can the AI handle long conversations?

Well-configured Brilo AI workflows reduce unnecessary transfers, shorten handle time for human agents, and improve caller satisfaction by avoiding repeated questions. Predictable guardrails reduce operational risk and keep regulated interactions under human control. Workflow Control also enables better telemetry (which intents escalate most often), making it easier to target training or personnel changes where needed.

How granular can routing rules be?

Routing rules in Brilo AI can be defined by intent, keywords, confidence thresholds, language, and time-of-day. You can combine conditions so high-priority intents route to humans while routine intents remain automated.

Can I change workflows without code?

Yes. Most Workflow Control edits—routing rules, transfer conditions, and escalation criteria—are configured in the Brilo AI console and deployed without engineering changes. Integrations or custom actions may require developer support.

Will the agent repeat questions after a handoff?

No. When you enable contextual handoff, Brilo AI passes recent transcript snippets, detected intent, and extracted entities to the receiving agent so callers do not need to repeat information.

What happens if the human endpoint is unavailable during transfer?

You can configure fallback behavior such as queuing, retry logic, voicemail capture, or escalation to an alternate team. These behaviors are set in the transfer and routing rules.

Can I log workflow decisions to my CRM?

Yes. Brilo AI can send session metadata, transcripts, and intent labels to your CRM or webhook endpoint as part of the configured actions so you retain an auditable trail of decisions.