Sales Copilots
Multi-agent systems that diagnose, prospect, and follow up — so your team focuses on closing.
Multi-channel · Conversation memory · Human handoff
The average sales team is falling behind.
It is not a talent problem. It is an infrastructure problem - teams running on tools that cannot keep up with how today market moves.
74%
of B2B companies miss their annual sales quota.
Harvard Business Review
28%
of a salesperson's time is spent actually selling. The rest: admin work.
Salesforce State of Sales 2024
70%
of B2B leads never receive a follow-up after first contact.
Ebsta x Pavilion 2025
We build multi-agent systems that make human teams faster - not replace them.
AI rewrote how commercial work gets done. We build the infrastructure your team needs to come out ahead.
What we build.
Six ways to transform your operation with artificial intelligence. Each system is built for your operation, plugs into your existing stack, and ships with your team at the center — not on the sidelines.
Live production case
From hours to seconds.
Industrial paint and coatings distributor in Monterrey. Cross-functional commercial team operating 24/7.
01
The problem
4+ hours
average per technical quote
Quoting an industrial epoxy system meant the seller had to look up technical sheets, calculate coverage, validate compatibilities, and assemble the proposal by hand. Time lost on every deal.
02
The intervention
24/7
diagnosis + quote + push to CRM
We built a sales copilot that diagnoses the client's technical case, recommends the right coating system, generates the quote, and pushes it straight to the CRM. Operating via WhatsApp every day.
03
The result
120× faster
from first message to quote ready
The seller no longer quotes: they review and close. The system captures every case, prioritizes by value, and frees the team to do the one thing a machine cannot — close the deal.
The system is still running in production. Each case makes it smarter.
See the system in action →How we build
The process, mapped.
Four phases. No surprises. Every deliverable agreed before moving forward.
01 — Discovery
1–2 weeks
Diagnosis
We work with your team to understand your operation, identify real friction points, and prioritize where AI delivers immediate value vs where it doesn't make sense.
What we do
Technical sessions with stakeholders. Audit of processes and current stack.
What we need
Access to key teams. 4–6 hours of their time spread out.
Deliverable
Opportunity map with prioritized use cases and estimated ROI.
02 — Design
2–3 weeks
Architecture and prototype
We design the complete multi-agent system, define integrations, and deliver a functional prototype you can test before committing to the build.
What we do
Agent design, prompts, flows. End-to-end demo with real data.
What we need
Anonymized sample data. Technical validation from your IT.
Deliverable
Demo prototype + technical architecture document.
03 — Build
4–6 weeks
Construction and integration
We build the complete system, connect it to your current stack, and test it under real conditions with your team before going to production.
What we do
Full development. CRM, ERP, messaging integration. QA with real cases.
What we need
Sandbox credentials. Availability for weekly checkpoints.
Deliverable
System running in staging. Test suite passed.
04 — Launch
1 week + support
Deployment and handoff
We deploy to production, train your team to operate the system autonomously, and maintain continuous support to iterate as your business scales.
What we do
Production deploy. Team training. Complete documentation.
What we need
Team dedicated to handoff sessions. Production credentials.
Deliverable
System in production. Team trained. Continuous support active.
Where we operate
Industry, scale, and stack.
We build for serious B2B operations. Each system is designed for your vertical, your size, and your current stack.
Industries we serve
i01Industrial distribution
B2B with complex technical catalog
i02B2B manufacturing
Operations with long sales cycle
i03Premium retail
Boutiques and specialized verticals
i04Professional services
Firms, consultancies, agencies
i05Hospitality
Conversational customer service
i06Marketing and agencies
Creative teams with recurring operations
Stack we master
s01LLM models
Multi-provider orchestration
s02Agent frameworks
Multi-agent, RAG, tool-use
s03Databases
Relational, vector, cache
s04CRM and ERP
Bidirectional integration
s05Messaging
WhatsApp, email, chat, voice
s06Workflows
Visual and code orchestration
s07Cloud and DevOps
Containers, CI/CD, observability
s08Frontend
Custom web apps, dashboards
