A coordinated team of AI agents, not one black box
Clintra's multi-agent architecture assigns each function (strategy, content, intelligence, forecasting) to a specialized agent, coordinated by a Revenue Orchestration layer and reviewed by your team at every meaningful step.
Active AI agents
AI recommendation
3 accounts are showing rising buying intent this week.
Agents online
Why multiple agents?
A single generic AI model can't be equally good at forecasting, content drafting, and lead scoring. Clintra uses specialized agents, each built for one job, coordinated toward shared revenue goals.
How agents collaborate
The Revenue Orchestration agent coordinates outputs across specialized agents, so a forecast, a campaign plan, and a lead score are all working from the same shared context instead of operating in silos.
Governance & human approval
Every agent operates within defined boundaries. Drafts, recommendations, and plans are surfaced for human review; no agent executes high-impact actions like publishing content or reassigning territory without approval.
The agent team
Meet the agents
Revenue Orchestration
Coordinates marketing and sales activity toward shared revenue goals.
Meet the agentBusiness Discovery
Builds an initial understanding of your business, market, and customers.
Meet the agentWebsite Intelligence
Analyzes your website's content, structure, and conversion paths.
Meet the agentMarketing Strategy
Turns business goals into a structured marketing plan.
Meet the agentCampaign Planning
Converts strategy into structured, multi-channel campaign plans.
Meet the agentContent Generation
Drafts on-brand content for campaigns and outreach.
Meet the agentLead Intelligence
Scores and enriches leads against your ideal customer profile.
Meet the agentBuying Intent
Detects and scores buying intent signals across connected sources.
Meet the agentSales Planning
Builds territory and account plans aligned to revenue targets.
Meet the agentRevenue Forecasting
Builds and updates revenue forecasts from live pipeline data.
Meet the agentPerformance Optimisation
Analyzes what's working and recommends where to focus next.
Meet the agentReady to Optimise Revenue with AI?
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