Single-agent architecture for the win (literally)
Attention breaks work into task-specific agents. Fluint's AI agent, Olli, owns pipeline end-to-end, so execution stays connected, not fragmented.
AI that prompts your reps, not the other way around.
Attention’s “fleet of agents” requires you to setup workflow style rules. Olli is a single AI agent who knows what's needed before you ask, proactively writing his own prompts on a deal-by-deal basis, to execute creative plays, that get stuck deals moving.
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We have a bunch of tools, but none of them have had a bigger impact on our GTM efforts than Fluint. And it's not even close.
The best part here is how much faster our deals are closing when you consider that there are more stakeholders involved than we've ever experienced.
Matt G.
CRO of Sales Assembly
Comparison Table
Fluint vs Attention: smarter than a fleet of agents
Sales signal capture & automation
Captures sales activity across calls, meetings, email, and CRM
Automatically updates CRM fields and activity logs
Generates AI-written follow-up emails after sales interactions
Summarizes sales conversations and key moments
Deal execution & pipeline intelligence
Executes follow-ups and next steps across the deal automatically
Detects pipeline risk based on full deal activity, not just calls
Flags stalled deals before they impact pipeline & forecasts
AI agent complexity & admin
Uses a fleet of task-specific AI agents that must be configured
One AI agent: Olli
Uses one AI agent with full deal and pipeline context
Allows reps and leaders to ask one AI and get action taken
Let’s see if there’s a good fit
We’ll look at how other GTM teams are already:
Engaging exec-level buyers
Engaging exec-level buyers with a strong point of view.
Driving 10.4X sales velocity
Driving 10.4X sales velocity with more calm, less chaos.
Confidently forecasting
Confidently forecasting, with deal reviews based on written evidence.
Enabling champions
Enabling champions to multithreaded and sell internally.