Know who's ready to buy across every channel
The Problem
Inbound conversations live in fragmented channels — WhatsApp, Telegram, email — handled manually with little structure. High-value prospects go unnoticed. Urgent opportunities are delayed. Follow-ups depend on memory. Qualification happens inconsistently across team members.
What the Pod Does
Centralizes inbound conversations across channels into one workspace. Maintains persistent, structured contact intelligence — budget, project type, urgency, stage. Applies configurable qualification models to evaluate each prospect and surfaces alerts when action is required.
Key Outcomes
- Centralized handling of inbound conversations across all channels
- Structured contact intelligence (budget, urgency, project type, stage)
- AI-assisted detection of buying signals and qualification insights
- Real-time visibility into prospect readiness
- Proactive alerts when prospects are proposal-ready or high urgency
- Continuity of information across conversations, channels, and team members
How AI Fits In
AI interprets conversation content, detects patterns like urgency or budget signals, and suggests responses or next steps. It can operate in three modes: fully responding, suggesting replies, or staying inactive. The team controls when and how AI participates. All outputs are reviewable structured records.
Starting Point
Sales teams managing leads through WhatsApp or messaging apps. Spreadsheets or CRM fields updated late — or not at all. Qualification based on individual judgment rather than consistent criteria.
Popular questions
Do Pods replace our spreadsheets?
No. We start from them. Your spreadsheets are the blueprint:
- we learn where data comes from.
- how it’s transformed
- how deliverables are produced
The Pod formalizes that logic so the process can be shared, trusted, and supported by AI.
Does the Pod make decisions on its own?
Initially, no.
Pods start by supporting decisions:
- preparing information
- highlighting changes
- proposing next steps
Over time, if the team trusts the outputs, you decide how much autonomy the Pod should have. Control is always intentional.
What systems can a Pod integrate with?
CRMs, ERPs, messaging tools, websites, databases — or none at all.
In many cases, the Pod becomes the system you don’t yet have, because it’s built directly around the process.
How do we know if a Pod is a good fit?
If you can picture the spreadsheet, we can build the Pod.
The Pod formalizes that logic so the process can be shared, trusted, and supported by AI.
No. We don’t turn Excel into an AI tool. We use the spreadsheet to understand the process, then build a Pod around that logic.
Excel explains how the work is done. The Pod ensures it’s done reliably.
