New client setup shouldn't depend on who remembers what
Your onboarding process touches six departments, runs on a checklist that lives in someone's email, and relies on a handoff chain where things routinely fall through the cracks. Every new client feels like the first one. It shouldn't.
Discuss Your Onboarding Process →The Problem
Sound familiar?
Onboarding involves Sales, CS, Legal, Finance, IT, and Operations — and nobody owns the end-to-end process. Each team thinks someone else is handling the handoff.
Client documents — contracts, compliance forms, configuration specs — arrive in different formats and sit in someone's inbox until they manually extract what's needed.
Time-to-value stretches because setup stalls at unpredictable points. The client gets frustrated, CS scrambles, and the relationship starts on the wrong foot.
Every client feels like the first one because the process isn't formalized. The person who "just knows how it works" is a single point of failure — and they're burning out.
Our Approach
Built on Habitat OS →How we fix this
We build a customer-onboarding Habitat — a system that formalizes your intake workflow, automatically extracts and structures client documents, and orchestrates the cross-departmental handoff chain so every step triggers the next. The tribal knowledge about "how onboarding actually works" gets captured and made repeatable. New clients get the benefit of your hundredth onboarding, not a reinvention every time.
Discover
We map your actual onboarding workflow across every department it touches — every handoff, every document, every place where someone fills in the gaps from memory. We find the bottlenecks and the single points of failure.
Structure
Client document schemas get defined. The handoff chain gets formalized with triggers, SLAs, and accountability. Configuration requirements get templatized so setup is consistent.
Build
An AI system that extracts structured data from client documents, orchestrates the cross-team workflow, flags stalled steps before they become problems, and gives everyone visibility into where each client stands — without a single status-update meeting.
Proof
We've done this before
15 min → 30 sec
benefits document extraction time
Onboarding — complex benefits and SBC documents extracted against a unified schema. What used to require 15 minutes of manual data entry per document now takes 30 seconds with AI.
Read case study →27%
higher conversion after AI layer added
TezLab — a conversational AI layer added on top of the existing backend without changing infrastructure. Proof that you can enhance onboarding without rebuilding.
Read case study →Related Offerings
Ready to make every onboarding feel like your hundredth?
The conversation starts with mapping your actual onboarding workflow — every department, every handoff, every gap where tribal knowledge fills in.
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