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AI Assistance

AI Assistance — Built into every module, not bolted on

Every EmpireVault module ships with AI capabilities specific to its job. AI doesn’t sit in a separate “AI tab” you remember to open — it scores leads as they come in, drafts replies as you open tickets, ranks candidates as you screen them, extracts contact details from email automatically, and grounds an in-app help assistant in your knowledge base. Humans approve every decision before it goes out. Usage caps protect your bill from surprises.


What the AI actually does, by module

Lead scoring (Engage + CRM)

Every chat conversation captured by Engage and every lead imported into the CRM gets an AI score: weak, moderate, or strong. The score considers conversation signals (urgency, decision-making authority, budget indicators), engagement patterns (response time, message length, return visits), and firmographic context where available. Scores update as new interactions happen.

Ticket triage (Tickets)

Incoming tickets get a suggested category, priority, and a draft reply pulled from your knowledge base. Your support agent sees the suggestions inline — accept, edit, or reject. The system learns from your overrides over time; categories you frequently re-route stop being suggested.

Importance scoring (Unified Inbox)

Incoming emails are scored 1-5 for importance based on sender history, subject patterns, and body content. VIP contacts auto-elevate. The high-importance feed lets you triage 200 morning emails in 10 minutes — top 5 first, the rest collapsed.

Contact extraction (CRM)

When a new email arrives from a sender you don’t have on file, AI extracts their name, role, and company from the signature and creates a draft contact record. Your team approves the draft (or edits and approves) before it commits. The rescan feature can backfill contacts from your historic email — useful right after onboarding.

Candidate ranking (Jobs)

Resumes uploaded via your careers page are auto-parsed and scored against the job description. AI returns a fit summary and a rationale you can read — not a black-box number. CV content is indexed for keyword search, so “find me everyone who’s worked with Postgres” returns the right candidates instantly.

Email personalization (Campaigns)

Drip sequence drafts can be generated from a campaign brief and tone settings. Personalization uses contact and organization fields (name, role, industry, recent activity) — every draft is editable before it sends.

Feature-request analysis (Tickets backlog)

Customer feature requests are semantically clustered so duplicates collapse together. Each cluster gets an AI-generated impact, effort, and strategic alignment score; the composite ranks your backlog. Your team still decides what to ship — the AI just stops you from re-reading the same request 14 times under different wording.

In-app Help Assistant (every account)

A chat widget that answers user questions in plain English, drawn from your knowledge base. It searches your articles, picks the most relevant passages, and answers using only what your KB actually says. If it can’t find an answer, it offers to open a ticket. Real grounding — not generic LLM hallucination.


Governance — cost, control, and trust

Usage caps per seat

Every seat ships with a generous monthly budget — 500 lead scores, 500 triages, 200 drafts, 100 candidate scores. Overage is billed at a transparent at-cost rate ($0.02-$0.10/call depending on type), and requires confirmation each billing cycle. No surprise charges.

Humans in the loop

The AI never sends, decides, or commits anything irreversible without a human approving it. Every draft reply is editable. Every score can be overridden. Every triage suggestion can be rejected. Trust the system; don’t surrender to it.

Audit trail on every AI action

Every AI suggestion, override, and acceptance is logged in the platform audit log. Useful for compliance, training, and answering “why did the system decide that?” months later.

Your data is your data

OpenAI is the underlying model. Per our integration agreement, no data sent to OpenAI is used for model training. You can request a full export of every prompt and response we’ve ever sent for your account at any time.


What makes AI Assistance different

It’s the context that makes it good

Generic LLM tools can draft an email. They can’t draft an email that knows the recipient opened a ticket last week, that the open quote is at $42k, or that the calendar shows you’d discussed this on Tuesday. EmpireVault’s AI starts with that context — because it lives where the data does.

No “AI add-on” upsell

AI features aren’t a separate tier or a per-seat upsell. They’re part of every seat. Usage budgets cover the median user; overage runs at-cost. Predictable, transparent, no salespeople involved.

It learns from your overrides

Reject the same ticket category five times and the system stops suggesting it. Edit AI drafts to match your voice and future drafts trend toward that voice. The model doesn’t get retrained on your data, but the prompt context evolves as you correct it.


Let AI do the busywork.

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