REFARIS AI MARKETING AGENTS
Lead Orchestration
Turn demand intelligence into the right next action.
Knowing that an account or buyer is engaged is useful. Knowing what should happen next makes that intelligence actionable.
Refaris Lead Orchestration evaluates demand intelligence, buyer and account context, behavior, stage and business rules to determine the appropriate treatment—helping move demand toward Sales, ABM, nurture or another appropriate path.
THE CHALLENGE
Demand gets lost when the next step isn’t clear.
Marketing identifies an engaged account. A buyer downloads content. Intent increases. Multiple members of a buying group begin researching.
But identifying demand is only part of the challenge. Someone still has to determine what should happen next.
Should Sales engage? Should an SDR follow up? Does the account warrant ABM treatment? Should the buyer continue in nurture? Is more qualification needed? Or is the best decision to wait for additional signals?
When those decisions depend on fragmented rules, manual review or disconnected systems, valuable demand can stall, receive the wrong treatment or disappear between Marketing and Sales.
Lead Orchestration turns demand intelligence into coordinated action.
Traditional
Lead → Score → Threshold → Route
Intelligent
Demand Intelligence + Buyer Context + Stage + Business Rules → Determine Treatment → Coordinate Action
HOW IT WORKS
From demand signal to the appropriate treatment.
Lead Orchestration evaluates the available context around an account and buyer before determining the appropriate next step.
↶ Outcomes and new signals inform future orchestration decisions
LEAD ORCHESTRATION
The right action depends on the full context.
Lead Orchestration is designed to evaluate multiple dimensions of account, buyer and business context before determining how demand should be treated.
Demand Context ↘
Account priority
Demand strength
Intent signals
Engagement patterns
Recent changes
Buyer & Account Context ↘
ICP fit
Buying-group roles
Buyer activity
Account characteristics
Known interests
Sales Context ↘
Existing ownership
Opportunity stage
Previous Sales activity
Account history
Territory
Business Rules ↘
Routing criteria
Account tiers
Qualification requirements
Organizational priorities
Available treatments
Lead Orchestration
The information available for orchestration depends on the organization’s systems, data and business rules.
OUTPUT
Turn intelligence into the right treatment.
Sales Engagement
Route appropriate demand toward Sales with useful account and buyer context.
SDR Follow-Up
Identify when structured outbound follow-up is appropriate.
ABM Treatment
Move high-value accounts toward appropriate account-based experiences.
Nurture Treatment
Continue engagement when demand exists but direct Sales engagement is not yet appropriate.
Additional Qualification
Gather additional intelligence when existing signals are not sufficient to determine the appropriate path.
Continued Observation
Continue monitoring when immediate action would be premature.
Context for Action
Provide the reasoning, account information and buyer signals behind the selected treatment.
Ownership & Timing
Clarify who should act and when.
From “Who is interested?” to “What should we do about it?”
The right next step can change with every new signal.
A buyer may not be ready for Sales today. An account may become more important tomorrow. Another member of the buying group may engage. An opportunity may open. Sales may already be active.
Lead Orchestration is designed to incorporate new context so treatment decisions can evolve as the buying situation changes.
Signal →
Evaluate →
Decide →
Act →
Observe →
Reassess
↶ Outcomes and new signals inform the next decision
HUMAN + AI
AI evaluates the context. People define the rules and boundaries.
Organizations differ in how they qualify demand, assign ownership and engage buyers. Lead Orchestration is designed to operate within those business realities.
Teams define the rules, priorities and appropriate treatments. AI helps evaluate the available context consistently and apply those decisions at scale.
Context →
AI Evaluation →
Treatment Recommendation →
Human Review →
Action →
Learning
YOUR TECHNOLOGY
Coordinate action across the systems you already use.
Lead Orchestration is designed to work around the marketing and sales systems where demand is captured, managed and acted upon.
CRM & Sales
Marketing Automation
Intent & Intelligence
Engagement & Analytics
Your systems remain the execution infrastructure. Lead Orchestration adds intelligence to the decisions that determine what happens next.
CONNECTED INTELLIGENCE
Demand Intelligence identifies what deserves attention. Lead Orchestration determines what should happen next.
Lead Orchestration can operate independently or connect with other Refaris Agents as intelligence moves through the demand engine.
Campaign Intelligence →
Demand Intelligence →
Lead Orchestration →
Nurture Intelligence →
Pipeline Intelligence
↶ Learning feeds intelligence back across the system
What should happen after meaningful demand is identified?
Turn demand intelligence into coordinated action across Marketing and Sales.
RESOURCES
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