01
Preflight, live session, post-call wrap. One assistant narrative across them.
Contextual hints stream adjacent to your dialler — not after CSV exports to another vendor.
Brein / In actieve bouw
Co-listening intelligence. While the phone session hums — not after.
Customer dossier hints and knowledge snippets surface beside your telephony canvas responsively.
Three act structure: preflight brief, in-call assist, post-call recap—no triple subscription stack.
Avoids standalone Gong-class silos because Brein already reads CRM threads responsibly.
Phones first per roadmap—email meetings WhatsApp inherit the same layer afterwards.
What you get
02
Preflight
thirty-second pulse on history, open revenue work, recurring friction points
03
In-call
streaming transcript, knowledge surfacing, suggested answers beside your softphone
04
Post-call
recap, action detection, follow-up mail draft inside the same thread
05
Multiple agents at the same time
agents can prepare context, assess signals and prepare actions without getting in each other's way
06
Follow-up suggestions
actions arise from what is discussed, not from manual notes afterwards
07
Conversation file
every conversation enriches the customer history with transcript, summary, signals and follow-up actions
08
Context for the SideIQ brain
live conversations fuel patterns, coaching, knowledge and future automation
SIDEIQ BRAIN · REAL-TIME DURING CALLS (COMING SOON)
Realtime gespreksondersteuning gebruikt klantcontext, kennis, transcriptie en agents tijdens gesprekken, niet pas achteraf.
Why this is different
Separate meeting stacks
Gong-style tools bill separately and fight brittle CRM sync—context fragments across tabs.
Native SideIQ layer
Brein already touches CRM threads knowledge and telephony—no connector lottery before each dial.
Channel roadmap
Phones ship first; email meetings WhatsApp adopt the same intelligence layer iteratively.
Why this is necessary
The conversation determines the outcome
Without real-time support, your employee must rely on memory, experience and separate screens during the conversation. The summary afterwards can help, but misses the moment when an objection, question, opportunity or risk arises.
That's exactly where a lot of AI telephony falls short. Recording and summarizing is valuable, but it doesn't change the conversation while it's happening. As soon as real-time context outside SideIQ is missing, the employee continues to search for customer information, knowledge, agreements and next steps.
SideIQ therefore makes real-time call support part of the Business Operating System. Telephony, transcription, customer context, knowledge spaces, files, agents and actions come together during the conversation. The more conversations go through SideIQ, the better the SideIQ brain understands which signals are important and which help is valuable at the right time. This way, AI does not only help afterwards, but exactly when the employee and customer need it.
Examples
Sales conversation
AI recognizes purchasing intent, objections and missed questions while the employee can still respond
Support call
relevant knowledge articles and previous customer appointments appear at the right time
Service planning
a customer requests a follow-up visit. SideIQ can show context and prepare the follow-up action
Quality coaching
patterns in conversations become visible for training, coaching and improvement
Customer transfer
summary, transcript, signals and actions remain available for colleagues who take over later