ConnectLoop Innovation Hub
What LIA is learning next
LIA already answers, qualifies, books, and follows up. This is a front-row look at the jobs she's learning now, labelled honestly so you know what's shipping and what's still research.
Join the early access program →- Live
- Early access
- In development
- Research
Our roadmap has rules
The AI sales space is full of demos that impress and deployments that embarrass. Every capability below has to clear four bars before it reaches your account.
- 1
It must be a real job.
We build for tasks that already appear on a revenue team's job description, not for categories invented in a boardroom. If nobody owns the job today, we don't build the tool.
- 2
It must stay grounded.
LIA answers from approved company knowledge or she escalates. That rule extends to everything new: no capability ships if it can improvise facts, prices, or promises.
- 3
Humans approve what matters.
Outreach drafts, sensitive conversations, high-stakes decisions, LIA prepares, your team approves. We don't build autonomous AI that spends your reputation without asking.
- 4
It must survive production.
Capabilities graduate from research to your deployment only after they hold up on real conversations, real catalogs, and real edge cases, not curated demos.
In development now
Signals: LIA spots buying intent before anyone messages you
In developmentThe job
Sales teams already hunt for buying signals, funding news, hiring spikes, tech changes, pricing-page revisits, manually, across a dozen tabs, usually too late.
What LIA is learning
To watch buying intent signals from your market and your website continuously, funding rounds, hiring changes, technology shifts, pricing-page revisits, connect them to the companies and people in your pipeline, and surface a prioritized "who's leaning in right now" view, so outreach starts from evidence, not alphabetical order.
Mid-conversation adaptation: LIA reads the room
In developmentThe job
Good salespeople adjust in real time, when a buyer hesitates on price, goes quiet, or suddenly leans in, the pitch changes. Software never has.
What LIA is learning
To detect signals inside a live conversation, engagement shifts, objection patterns, buying-stage cues, and adapt her approach mid-thread under a policy engine you control: which adaptations are allowed, which require a human, which are off-limits.
Proactive outreach: LIA drafts the first move
Early accessThe job
The follow-up to the visitor who engaged heavily but never converted; the re-engagement of a gone-quiet lead. Every team means to do it; calendars disagree.
What LIA is learning
To notice the moment (a returning high-intent visitor, a stalled thread), draft the outreach with full context from the conversation history and knowledge base, and queue it for your approval. Draft-then-approve, always, LIA never sends autonomously.
LIA Live: a face for the conversations that need one
In developmentThe job
Some sales moments want more presence than a chat widget, product walkthroughs, kickoff calls, guided demos.
What LIA is learning
To show up as an AI avatar for real-time video conversations, the same grounded knowledge and qualification skills, delivered face-to-face, with natural idle-and-talking presence rather than uncanny puppetry.
AI voice agent: the same LIA, out loud
ResearchThe job
Plenty of buyers would rather talk than type, especially on mobile, especially mid-commute.
What LIA is learning
Full voice conversations with the same grounding rules as chat: approved knowledge only, graceful escalation, every word logged to the same unified history.
From this page to your deployment
- Live
Visitor Intelligence & de-anonymization
Anonymous journey tracking connected to identified leads.
- Live
WhatsApp Embedded Signup
Official Meta onboarding, minutes instead of weeks.
- Live
Sales Call AI Assistance
Live in-call guidance, scoring, and post-call coaching.
- Live
AI sales role-play training
Scored practice against realistic AI buyers.
Get the new capabilities first, and shape them
Early access customers run in-development capabilities on real pipeline, with direct lines to the team building them. Feedback lands in the product, not a backlog.
Apply for early access →The best preview of what's next is what's live now
Everything on this page extends an agent you can talk to today.