Autonomous support fabric
Multi-agent orchestration that cut ticket time-to-resolution by 63% for a global SaaS platform.
Case studyAI systems, engineered.
For teams who need intelligence without the theater. Clear scope, sharp systems, zero noise.
Selected work
Outcomes first. A few systems that shipped — and held.
Multi-agent orchestration that cut ticket time-to-resolution by 63% for a global SaaS platform.
Case studyReal-time market sensing with retrieval pipelines that surface only decisions, not documents.
Case studyIn-product guidance that feels native — context-aware, low-latency, and brand-quiet.
Case studyServices
From first model choice to production telemetry — one integrated practice.
Roadmaps that map capability to revenue — model choice, data readiness, and risk.
Tool-using agents with guardrails, memory, and human escalation paths.
LLM features that ship inside your stack: RAG, copilots, automation, UX.
Back-office workflows rewired with models that actually close the loop.
Offline + online measurement so quality is a metric, not a vibe.
Policy layers, red-teaming, and audit trails for production systems.
Process
A cadence built for shipping intelligence without losing the plot.
Map data, stack, and constraints. No theater — only signal.
A sharp vertical slice in weeks. Real users, real metrics.
Evals, latency budgets, fallbacks. Production is the product.
Observability and enablement so your team owns the system.
Contact
Tell us what you're shipping. Reply within one business day — clear path, or an honest no.