74% of companies struggle to scale value from AI. The gap isn't capability — it's deployment. The AI Lab is where LeadSquared closes that gap: working agents, running inside the CRM, each owned by a metric before it's built — and proven on a slice of your own data before you commit to anything.
BCG Global AI Survey, 2024
6
Live Agents
Education + Healthcare
2
Verticals
Career schools, specialty outpatient
100%
Deterministic Cores
Scores & dollars, not model guesses
How an engagement works
You start small, see it work on your own data, then decide.
01
Start scoped
We point a couple of agents at a small set of your leads — a focused starting slice, not a big-bang rollout.
→
02
See it on your data
You watch the agents work inside your own workflows, against the metrics you already care about. Your environment, not a demo.
→
03
Decide from evidence
If it moves the needle, you scale to all your leads. If it doesn't, you have a clear answer — and nothing was torn up to find out.
✓You don't build or configure anything. The Lab runs it — you watch the outcomes.
Live agents
⚡
Education
Agent Flash
60 Seconds to Scheduled
Top of Funnel — Engagement and Qualification
🔍
Education
Agent Sherlock
Intake QA — Zero Bad Data
Mid Funnel — Application Processing
🦅
Education
Agent Hawke
Anomaly Watcher — Catch the Signal
Cross-Funnel — Analytics and Operations
✍️
Education
Quill AI
Prompt-to-Report Analytics
Cross-Funnel — Reporting and Intelligence
🏥
Healthcare
Nova Console
No-Show Prediction and Smart Rescheduling
Operational — Appointment Yield
🛡️
Education
Agent RevGuard
Risk, Priced and Acted On
Post-Enrollment — Retention and Revenue Protection
AI that owns an outcome
Every agent is tied to a metric before it's built. Flash owns inquiry-to-scheduled time. Nova owns slot utilization. Sherlock owns intake error rate. If it can't be measured, it doesn't get built.
Built inside the workflow
Every agent runs through the same CRM fields, automations, and sync infrastructure your operations team already uses. No separate platform, no extra tab. Every decision writes back to the record.
Grounded in benchmarks, tested on synthetic data
All demos run on curated synthetic datasets. Every impact number is derived from published industry benchmarks, not production claims — and labelled as such.