ZANUS AI FOR TECHNOLOGY COMPANIES — AI WORKFORCE

The teammate that never falls behind.

Assign work to the AI the way you assign it to staff: type, sources, deadline, priority. Release-notes drafts, weekly ticket-trend reports, security-questionnaire refreshes — executed on schedule, with citations, under review.

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Private tenant or your own server · unlimited users · SOC-2-aligned deployment path

Assigning engineering AI work with the four-step wizard

Four steps: work type, sources and libraries, tags, schedule — the AI takes it from there.

What it does

Work types for a software company

Release-notes draft, ticket-trend report, postmortem summary, questionnaire-answer refresh: work types molded to your company, with default libraries and examples per type.

Urgent / Overdue / Today

The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — the release-day draft never slips silently.

A diligent teammate, on the record

Every work is a full session: reasoning streamed, sources cited, milestones tracked, linked to the project and the calendar.

Monday, 7 AM: the ticket-trends report is done

Set “Weekly Ticket Trends” once: every Monday the AI reads the week’s tickets, clusters the recurring issues, cross-references the known bugs and the postmortems, and files a cited report for the engineering lead — before standup.

Recurring schedules for periodic engineering work
Findings cited to tickets and postmortems
Report in Output, awaiting sign-off

Roster of scheduled engineering AI works

Technology companies buy per-seat tools for every team — helpdesk seats, sales seats, AI add-ons metered by the token — while trial signups wait days in a queue and the runbooks rot in a wiki nobody trusts. Zanus AI: the customer-facing front office AND the engineering back office, unlimited users, one flat price, no AI metering — in your private tenant or on a server you own.

Questions, answered

Can we supervise mid-work?

Yes — open any session, read the reasoning, redirect it, or stop it. The AI works like a teammate: visible, accountable, interruptible.

What volume can it handle?

It does not get tired: the constraint is your review capacity, not the AI’s. Configurations size from a five-person dev shop to a multi-product vendor or an MSP with dozens of clients.

The teammate that never falls behind.

What it does

Monday, 7 AM: the ticket-trends report is done

Questions, answered

See it working on YOUR company — the demo IS the product.