But the build is real. Here's the technical surface.
Public-facing engagements lead with the workflow outcome. This page exists for the engineers, architects, and security reviewers who want to see the substrate underneath — stack, patterns, certifications, and how secure AI workflows actually get assembled in production.
Tools chosen because they fit the job, not because they're trendy. Every engagement starts from what the client already has — Microsoft 365 or Google Workspace — before adding anything.
The pilots reduce to a small number of architecture patterns. Each one has a known data flow, governance posture, and failure mode. The audit picks which pattern fits.
Incoming email is classified, routed, and a first-draft reply is staged for human approval. No outbound message sends without an in-loop human. Best for client-services teams drowning in repetitive inbound.
data_path: inbox → classifier → RAG over response history → draft → reviewer
controls: human approval gate, audit log, redaction of PII before model call
typical_savings: 5–12 hrs/week per role
RAG over the firm's own documents — SOPs, policies, prior memos, training material — accessed via Slack, Teams, or a simple web UI. Source citations on every answer.
data_path: query → vector retrieval → ranked chunks → answer with citations
controls: retrieval scope per user role, no model fine-tuning on client data
typical_savings: 3–8 hrs/week across team
Transcripts in (Zoom, Teams, Fireflies, etc.), structured action items out — owners, due dates, and a routed task in your tracker. Optional summary email to attendees.
data_path: transcript → structured extraction → task tracker write
controls: consent flag check, recording retention rules honored
typical_savings: 2–5 hrs/week per regular meeting attendee
Forms, documents, or emails come in; structured fields are extracted, validated, and routed to the right person with the right context. Reduces "who owns this?" friction.
data_path: intake → field extraction → validation → routed handoff
controls: validation thresholds, fallback-to-human under confidence floor
typical_savings: 30–50% cycle-time reduction
The interesting part is the workflow. The security posture should be unremarkable. Here's how the engagements are structured to stay that way.
Cloud certifications and vendor credentials are verified at credly.com/users/jason-campbell-cloud.
For the recruiter scan or the "do they know X?" check.
For technical due diligence, security review, or stack questions before an engagement — direct line, no sales filter.
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