CASE STUDY
Scaling trust and adoption: Humanizing change in a hypergrowth fintech
IMPACT SUMMARY
↑
0
%
Platform Adoption Rate
AI-enabled onboarding reached near-universal adoption within 6 weeks.
+$
0
M
Annual Cost Avoidance
Reduced reliance on external trainers and consultants.
0
x
Increase in Change Velocity
From quarterly rollout to bi-weekly iteration.
↓
0
%
Drop in Onboarding Time
New employee productivity ramped up in half the time
Project Snapshot
A VC-backed fintech startup had tripled headcount in 18 months, expanded globally, and
launched two new digital banking products—all while overhauling its tech stack. But under
the surface, misaligned teams, inconsistent onboarding, and change fatigue threatened to
stall momentum. Employees were unclear on priorities, overwhelmed by system rollouts,
and skeptical of leadership’s shifting narratives. Without a cohesive change strategy, the
company risked burning out its most valuable asset: its people.
Our Solution
We deployed lifelike AI agents trained on the company’s policies, workflows, and toolsets
to deliver real-time, multilingual support for onboarding and change. These agents fielded
questions, delivered training, and reinforced key initiatives across regions—freeing up
enablement and HR. We layered this with behavioral data to monitor adoption and
sentiment in real time, giving leadership precise visibility into where and how to intervene.
Our consultants helped tune messaging, coach team leads, and adapt rollout strategies
weekly—transforming a chaotic change moment into a cohesive, high-trust cultural pivot.
Related Case Studies
Hypergrowth Scaled Onboarding
In fintech’s fast lane, we turned chaos into cohesion—using AI agents and behavior signals to build trust, boost adoption, and keep teams aligned through hypergrowth.
Move past the hype. Get real world results – fast.
Move past the hype.
Get real world results – fast.