Dual-Surface Architecture: Serving Humans and Agents from the Same Tool Layer
Official Schedule Context
- Date/time: 2026-06-29 · 1:55pm-2:15pm
- Track/room: Security · Track 5
- Speaker(s): Ethan (Jung Min) Cha
- Session type/status: sponsor · confirmed
Official Description
Every enterprise AI talk right now is about capability. Almost none are about containment. That's
the gap this talk fills, because it's where regulated deployments actually die. The Deterministic
Harness is the set of rigid rails around a model: schemas, data contracts, tool boundaries, and
audit paths. These rails are what turn a probabilistic model into a deployable enterprise asset. The
idea isn't new. Aviation wraps pilots in envelope protection. Nuclear wraps reactors in passive
safety. Banking wraps algorithmic trading in transaction limits. Every regulated industry figured
out the same thing eventually: high-variance systems only become deployable when wrapped in low-
variance containment. Enterprise AI is catching up, not inventing. I'll walk through the single
governed MCP and API server we built at Carlyle, and the architectural decisions behind it. You'll
leave with four things: 1. A phased rollout model where each phase earns the next. Moving from
locked-down reads to trusted writes isn't risk mitigation. It's trust compounding. Each phase
generates the observability that underwrites the autonomy granted in the next one. Skip a phase and
you don't save time. You destroy the evidence base that would have justified the next step. 2. One
contract, two surfaces. A single data layer that serves both the human UI and the agent. The
institution then has exactly one answer to any question either might ask. When the agent and the UI
disagree, users lose trust in both. 3. An intent based feedback loop that captures what LLM
providers structurally cannot. The gap between what users tried to accomplish and what the system
actually delivered is invisible to Anthropic, OpenAI, and Google. Only the harness owner sees it. We
close that loop back into the governed server, and it compounds into differentiation that model
providers cannot replicate from where they sit. 4. The failure modes we hit and what we'd redesign.
A pre mortem folks will inherit for free, from two regulated industries where a wrong answer has a
named owner.
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