Five concrete scenarios where Email Triage delivers measurable outcomes. Each maps to a specific tier and links to the matching Fractional CTO engagement.
Profile: PI, clinical investigator, post-doc, or research-track physician. Inbox accumulates 200+ messages/day across journal alerts, NIH/sponsor communications, IRB notices, society newsletters, trainee updates, manuscript reviews, clinical-trial coordinator threads. HIPAA-aware by institutional default.
The two-hour daily problem. Pre-system: 90 minutes of newsletter / journal-alert skimming first thing in the morning, another 30 minutes of inbox triage between clinic and bench. Most of it is mechanical — categorize, file, or skim-and-discard. None of it is research.
Post-system outcome — newsletter digest is the killer feature. All 30+ subscription feeds collapse into one 7 AM digest with 80–120 article cards organized by source. Daily time recovered: 60–90 minutes, back into the day. The clinician scans the digest with their first coffee, clicks through to the 5–8 articles actually worth reading, archives the rest by closing the tab.
Plus the rest of the stack. Sponsor mail labeled sponsor + drafted reply waiting for review. IRB notices auto-filed into a dedicated folder. Trainee questions routed to the daily catch-up window. Triage-activity digest at end-of-day shows what the system did with the inbox — no "what is the AI doing while I'm not looking" anxiety. HIPAA mode flagged on the patient-correspondence account for institutional review.
Total recovered: 1.5–2 hours/day, with full transparency over what the system handled and what's waiting for personal attention.
Context: M365 or Google Workspace-based. HIPAA-regulated by default. Need to demonstrate compliance posture to insurers + auditors.
Outcome: HIPAA-mode accounts with PHI-scrubbed logs. Audit chain on every staff access. Drafted patient-correspondence replies for clinician review (never auto-sent). Delegate access for front-desk staff to triage but not draft. Quarterly compliance review packet produced from the audit log.
Context: Multiple client mailboxes (separately authenticated). Need to keep client communications isolated for confidentiality. Calendar coordination across 8–12 active clients per week.
Outcome: Per-client account with isolated rules and routes. Per-client writing-style profile so responses sound right for each engagement (the assistant's "voice" matches the engagement). Meeting-request intercept on every account with the right working-hours config per client. Watch rules escalate "fire-drill" client emails to SMS instantly.
This is how I run my own consulting practice.
Context: A lab with N researchers all using shared mail infrastructure. Each researcher has their own writing style and their own preferences. Privacy: one researcher shouldn't see another's mail or drafts.
Outcome: Multi-user install with role-based access. Each researcher gets their own dashboard, their own categories, their own digest. Lab PI has delegate access to specific researcher mailboxes (with audit-row stamping). One Ollama host serves the whole lab; one container, one TLS cert, one backup.
Context: Self-hosting enthusiast running on Podman. Wants Email Triage as part of a Tailscale-funneled internal-services stack. LLM already running locally (Ollama, GPU).
Outcome: Install + configure independently from the public repository at github.com/Unlimited-Data-Works-LLC/Email-Triage. Pull the cosign-signed image from ghcr.io/unlimited-data-works-llc/email-triage, verify the SLSA-3 provenance, run on Podman with a systemd quadlet. Air-gap installable via the hash-pinned embedding-runtime tarball — same verification path as the auto-download. Audit chain and HIPAA-mode features work the same as in enterprise deployments — privacy posture isn't tier-gated.
Or if it's something else entirely — that's worth a conversation too.
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