AI Agents for B2B Sales: Prospecting, Qualification, and Automated Follow-Up
Designed for LATAM B2B. Integrated into your CRM from week 1.
We install agents that prospect, qualify, and follow up — connected to HubSpot and Make, operating 24/7 without relying on your team.
Is your team still responding to leads in hours while your competition is already using AI?
AI Agents for SDR, CX, and Operations
Measurable results from day 1.
Integrated with HubSpot, Make, and your existing stack
Without replacing what already works.
30–60% less operating load
Up to 3–5x faster lead response time.
In production in 14 days
From diagnosis to agents operating in two weeks.
5 signs your business needs AI agents
1
Your team responds in hours. Your competition in seconds.
2
Your best salespeople do assistant work.
3
Every executive sells differently. There's no system.
4
Email, WhatsApp and CRM as disconnected islands.
5
Generic messages that don't connect with anyone.
They're not chatbots. They're AI agents designed for B2B: they understand the context, respect your way of doing business, integrate with your stack, and operate specifically for Latin America.
Speed with discretion
Faster than your competition, without losing control.
Answers in seconds instead of hours or days.
Prioritization according to FIT, intention and business potential.
Clear hand-off to the human team when there is a real opportunity.
- AI agents monitoring 24/7 so that no lead goes cold.
Conversations that make FIT real
Messages that seem written by your best executive.
Adapting to the tone, style, and working methods of your team.
Language tailored to industry, role, and stage of the business cycle.
Co-creation of proposals and responses that truly connect.
- Agents trained with your cases, your industry and your way of selling.
Flowing operations
Fewer manual tasks, more time for decisions.
Automation of tracking, data consolidation and reporting.
Orchestration of complex workflows in HubSpot, Make, and other systems.
Reduction of errors and rework in critical processes.
Near real-time visibility of what's happening in the pipeline.
Data, security and governance
AI aligned with your rules, not the other way around.
Configurable business rules, auditing, and traceability.
Control over what data is used, how it is used, and who sees what.
Design with a focus on compliance and operational risks.
- AI agents governed by clear data access and usage policies.
Typical cases in B2B companies
This is what AI agents look like operating in your company.
Intelligent SDR Agent
Before
Responses to leads within 24–48 hours
Manual, disorganized, and dependent tracking by each individual executive.
After
- Initial response in seconds, 24/7, from AI agents.
- Automated and prioritized tracking sequences by FIT and intent.
Expected indicators
Response time: from days to minutes
Meetings with high FIT: +30–50%
Conversational CX Agent
Before
- Support is overwhelmed with repetitive queries.
- Long waiting times in email, WhatsApp and other channels.
After
- Automatic resolution of frequently asked questions with a consistent human tone.
- 24/7 support integrated into your current channels, with clear hand-off to your team.
Expected indicators
Reduction of human tickets: 40–70%
Improvement in CSAT/NPS: +15–25%
Productivity and Operations Agent
Before
Hours spent on reports, minutes, and documentation
Fragmented operational processes and poor traceability.
After
- Minutes and reports automatically generated from meetings and calls.
- Validations, routes and tasks orchestrated between teams and systems (HubSpot, Make, etc.).
Expected indicators
- Savings of 4–8 hours per week per key role.
- Reduction of manual errors: 70–90%.
The future of your business growth doesn't depend solely on AI, it depends on your AI-enhanced human teams.
With AI agents vs. without them:
The difference in your business operation
Without AI agents
- Response to leads is subject to team schedule and availability.
- Generic messages, without account context or cycle stage.
- Support and SDR are overwhelmed with repetitive tasks and FAQs.
- Fragmented business processes, lots of Excel and isolated chats.
- Dispersed learning: what works stays in the minds of a few.
With AI agents
AI agents respond in seconds, 24/7, on your existing channels.
Customized conversations by industry, role, and stage of the sales cycle.
Support with intelligent escalation when human judgment is required.
Prospecting, follow-up, and service workflows orchestrated across HubSpot, Make, and your stack.
Know-how from your best executives transformed into reproducible and measurable processes.
Types of Agents
Intelligent SDR Agent
Proposal:
Commercial speed + messages that make FIT real.
This AI agent for B2B sales responds first and best. It adapts to the tone, style, and workflow of your sales team, understanding the industry, role, and intent of the prospect. It co-creates precise messages and contact sequences that generate real fit, accelerate sales management with AI, and boost conversion rates.
Expected results:
Response time: from days to minutes.
Increase in meetings with high FIT: +30–50%.
More qualified opportunities without growing the SDR team.
Conversational CX Agent
Proposal:
24/7 frictionless human attention.
This is a conversational AI agent that learns your brand's tone, service style, and operational escalation rules. It handles, guides, and resolves issues with a consistent, human-like tone across all your channels, escalating only cases requiring judgment or negotiation to your team.
Expected results:
Automatic resolution of +40–70% of frequent cases.
Reduced waiting times and queues on WhatsApp, email and web.
Improvement in CSAT/NPS: +15–25 points.
Productivity Agent
Proposal:
Free up valuable time for decisions, not tasks.
This is an AI agent focused on executive productivity. It adapts to each person's style: how they write, organize information, and present their deliverables. It co-creates summaries, minutes, reports, transcripts, and comparative analyses, maintaining a professional tone and delivering documents ready for review and approval.
Expected results:
Operational savings: 30–60% of time spent on documentation tasks.
Improved quality and consistency in reports and key deliverables.
More time available for analysis, planning, and decisions.
Operations Agent
Proposal:
Processes that flow without manual intervention.
This agent understands your end-to-end processes and models the operational logic your team uses to validate, route, verify, or consolidate information. It learns rules, exceptions, and business criteria, co-creates complex flows with data from multiple systems, and orchestrates steps in Make, HubSpot, and other tools, executing tasks that previously required multiple human roles.
Expected results:
Elimination of manual errors: 70–90%.
More traceable and auditable processes, ready to scale.
Fewer operational bottlenecks in sales and service cycles.
What would be your first AI agent?
In 10 minutes we identify the use case with the greatest impact on your operation and the indicators you should see in 90 days.