Democratise mental-health access through AI-guided triage, on-demand therapy, and personalised content.
Angular web app, Android hybrid app, Firebase Realtime DB, Zoom free tier

HealExpert—a fast-growing HealthTech start-up—sets out to be a “one-stop emotional-wellness companion.” Its early prototype proved market demand, yet the experience was fragmented: a basic website for content, a disconnected Android app for bookings, and Google Sheets for therapist scheduling. Investors and enterprise buyers demanded a unified, scalable, and AI-augmented platform that could deliver real-time triage, secure video therapy, and clinically validated outcomes.
Steady Rabbit mobilised a Micro-GCC squad (Core + Flex + Buffer) and, in just twenty weeks, delivered:
The project did not miss a single sprint milestone, allowing HealExpert to close a USD 8 million Series A round, land its first Fortune 1000 employee-wellness contract, and position itself for international expansion.
Mumbai-headquartered HealthTech company
2020
Democratise mental-health access through AI-guided triage, on-demand therapy, and personalised content
Seed-funded (USD 2.4 M) before engagement
India, UAE, and pilot users in UK & SEA
Angular web app, Android hybrid app, Firebase Realtime DB, Zoom free tier
Secure Series A and enterprise wellness contracts; need HIPAA/ISO compliance, measurable ROI for HR buyers
HealExpert’s leadership envisioned an integrated platform combining AI triage, tele-therapy, and continuous engagement. However, their patchwork tech stack could not scale, did not meet international data-privacy mandates, and delivered inconsistent UX. They required an engineering partner capable of owning the roadmap, de-risking compliance, and hitting a non-negotiable 20-week investor deadline.
Micro-GCC Squad Blueprint
7 Plan-Left Gates per user story—blocking Jira transition until persona, acceptance, risk, arch sketch, estimate, capacity, and test note are present.
SteadCAST dashboards surfaced lead indicators (Risk-High WIP%, Test-Note Coverage) daily.
30-minute weekly exec steering: demo, KPIs, burn, risk.
2-week sprints; Sprint 0 discovery + architecture.
Terraform, AWS CDK; blue-green EKS deploys.
GitHub Actions, SonarCloud quality gate ≥ A, Snyk scans, OWASP ZAP.
for cross-platform UI; GraphQL BFF for single endpoint.
(Go) on AWS EKS; user events piped to Kafka.
OpenAI GPT-4 via LangChain; PHQ-9 and GAD-7 scoring; escalation rules.
Outcome: of Sprint 0: signed-off architecture, HIPAA control matrix, backlog sized at 94 SP/sprint capacity.
When the DevOps engineer faced a family emergency in Sprint 6, the Buffer dev stepped in within 3 hours, ensuring Terraform pipeline PRs merged on time—zero velocity impact.
User Activation 48 % → 71 % (+23 pp) within 30 days
No-Show Rate 40 % → 9 % (-31 pp) after automated reminders
Tier-1 inquiries auto-resolved 63 % via GPT-powered triage, cutting support FTEs by 1.5 headcount
Peak-hour p95 latency 950 ms → 420 ms (2.3× faster)
Therapist onboarding 12 days → 36 hours, enabling rapid supply scaling
Day-14 churn 38 % → 15 % through personalised CBT modules
HIPAA & ISO 27001 audit pass 2 months ahead; enterprise buyer contract signed USD 1.9 M
Secured USD 8 M Series A; investor memo cited “enterprise-grade tech backbone”
Predictability Premium ROI: Steady Rabbit’s 8 % blended-rate premium saved ~USD 930 k cost-of-delay by avoiding a projected four-week slip.
Right specialists appeared within 48 h; Buffer bench absorbed shocks.
Seven Plan-Left gates cut re-work 40 %, without heavyweight PMO.
Real-time dashboards kept schedule variance ≤ 3 %.
Team included clinicians, CISSP architect, and LangChain SME—critical for HIPAA + GPT success.
KPIs (activation, latency, audit) tied to squad incentives; no vanity metrics.
Weekly steering, Slack war-room, shared burn charts—zero surprises.
Steady Rabbit turned our fragmented prototype into a secure, AI-powered platform investors love. We hit every milestone—even with HIPAA complexity. Their Micro-GCC model is the new gold standard for predictable delivery.