Guided Legal Intake Assistant
A voice-first conversational interface streamlining Ontario Landlord and Tenant Board applications. Reduces complexity and structures sensitive data with robust security.
We design and deploy AI systems for regulated, operational, and frontline teams — where reliability isn't a feature, it's a baseline.
WHAT WE DO
We don't arrive with a pre-built solution. We spend time inside the operational context first — understanding workflows, edge cases, and why things break — then build something that fits. Across compliance, workforce operations, and digital experiences, the approach stays the same.
We help teams decide what should be automated, what should stay guided, and how new capability fits the work people already do. Architecture grounded in real operating conditions means adoption and long-term usability are part of the product — not an afterthought.
Disciplined process. Systems that last.
AI SYSTEMS PORTFOLIO
Four products, distinct audiences, one disciplined standard for clarity, usability, enablement, and release readiness.
A voice-first conversational interface streamlining Ontario Landlord and Tenant Board applications. Reduces complexity and structures sensitive data with robust security.
Purpose-built AI assistant for service centres and dealerships. Simulates live customer interactions to guide staff through real-world scenarios and repair order workflows.
A dual-sided ecosystem turning code into interactive experiences. Discover c2merses in the PlayRoom, and build progressive web apps without complex WebGL knowledge in ToyMaker.
Designing robust workflow systems, automation, and enablement programs. Focused on multi-stakeholder systems that teams can trust, adopt, and use effectively.
CORE COMPETENCIES
How we approach architecture, automation, and interface design across every engagement — consistently and without shortcuts.
We define precise product boundaries early — identifying the highest-value workflows and the clearest path from first build to production without scope drift.
We build AI systems around real handoffs, regulatory constraints, and training needs — so new workflows hold up in practice, not just in demos.
We design interfaces around the people doing the work: reducing cognitive load, supporting gradual onboarding, and building confidence over time.
ENGAGEMENT METHODOLOGY
A structured methodology from early opportunity framing to a production-ready workflow system.
We start by listening. Every engagement begins with time in the operational context — understanding constraints, failure modes, and what has already been tried.
We translate what we learned into data models, enablement flows, compliant automation, and interfaces designed around how people actually work — not how they're supposed to.
We deploy a contained build, gather real feedback from the team using it, and refine the workflow before any broader rollout. No soft launches that quietly go unmaintained.
We move from pilot to production with stable routines, structured enablement, and a clear roadmap — so the system grows with the team instead of aging out of it.
GET IN TOUCH
Tell us what you're working on. We'll be direct about what's possible and whether we're the right team for it.
Lead intake
Keep it short. We use this to understand the workflow, team, or product problem you want to discuss.