01 · workflow
Assessment
A focused diagnostic of decisions, documents, handoffs, failure points, and owners.
Start intakeCustom AI systems, built around your actual workflow.
Every engagement is built around a delivered system: a workflow map, rail checks, lint review, hook gates, Thanh kernel evaluation, integrations, audit trail, and measurable handoff. No generic AI advisory. No slide deck standing in for a build.
Start with diagnostic intake
The service line follows the work, not the hype.
The first pass answers where AI can reduce repetitive work inside the existing workflow, where the assurance layer must challenge the output, and what must stay human-owned.
02 · approval
Workflow map
A build-ready map of routes, approvals, handoffs, and measurable outcomes.
Start intake 03 · integration
Implementation
Routing, retrieval, tools, forms, dashboards, rails, lints, hooks, Thanh kernel checks, and integrations built into the operating path.
Start intake 04 · controls
Measurement
Audit trails, review records, operating metrics, and iteration gates after launch.
Start intakeConcrete deliverables
Assessment
A one-week audit of your current operation. Deliverable: fit determination, build risks, and next-step recommendation.
Workflow map
A visible operating model that names workflow stages, approvals, data handoffs, integration points, owners, and success measures.
Implementation
The approved system surface: routing, retrieval, tools, forms, dashboards, memory, and connection points.
Approval gates
Defined authority boundaries for drafting, publishing, spending, deletion, external communication, and other consequential work, enforced through gates rather than policy text alone.
Handoff
Runbooks, owner-visible notes, training, and transition points so the system can be operated after launch.
Measurement
Operating metrics, audit trail review, issue capture, and iteration gates tied to the original workflow map.
Deployment postures
Pick the deployment boundary that matches your risk, compliance, and staffing posture.
Managed
We host and operate the deployment on dedicated infrastructure. Best for operators who want speed and do not want to manage the stack themselves.
Self-hosted
You host the deployment in your own environment and we operate against that boundary. Best for privacy-sensitive operators who want tighter control.
Hybrid
Control and data boundaries are split to match compliance or operational constraints. Best for firms that need tighter data residency without losing outside operating help.
Every serious engagement starts with an Assessment
The Assessment is the diagnostic that tells us whether a custom AI implementation is justified for your operation.