Automation with your org’s context built in.

What is Artificial Intelligence?

Artificial Intelligence is Regentis’s automation and execution layer for engineering organizations. Cloud automations run unattended — triaging tickets, correcting priorities, posting status — grounded in a knowledge space built from your code, tickets, incidents, CI/CD, and docs. Mention @regentis in a ticket, pull request, Slack, or Teams and it takes the ask, returning finished work with proof attached.

Start the 7-day trial See what’s inside

Inside Artificial Intelligence

Hand the busywork to an agent that knows your org.

Feature 01 · AI AutomationFLAGSHIP

Automation that already knows how your org works.

ProblemTriage, status chasing, and repeat tickets eat your best people.
HowAutomations watch Slack, GitHub, Jira, and ServiceNow, acting on org context.
ResultBusywork finished unattended, landing where the work lives.

Explore AI Automation

AI Automations: five automations running unattended, each one a closed loop — the event that starts it, the agent that does the work, and where the outcome is delivered — with a Scope & access column stating what each may touch and flagging the one with write access into a repository

Feature 02 · The @regentis Agent

Regentis doesn’t just write code, it proves it works.

ProblemA plausible PR that doesn’t build is negative work.
HowIt builds, runs, and verifies the fix in a sandbox.
ResultReady-to-merge PRs with reproduction, verification, screenshots, and recording attached.

Explore The @regentis Agent

A pull request opened by the agent: authored from ticket PAY-2184, with the reproduction, the fix, and the verification written out, and a screen recording attached and captioned as recorded by Regentis during verification

Feature 03 · Proactive Insight

Deeper team insight without bothering a single person.

ProblemStatus meetings produce polished fiction and still miss the risk.
HowReads PRs, tickets, builds, and incidents continuously; assembles per-team status.
ResultDaily digests and early risk flags, delivered where you work.

Explore Proactive Insight

Pulse view: a week of two teams’ work read straight from the source — 34 tasks, 128 commits, 41 pull requests, 6 deployments — with the outcomes beneath it and the AI snapshot on top naming the risk: two blockers raised midweek and neither has moved since

The stance

Autonomous, never unaccountable.

Boundaries are declared before anything runs, nothing irreversible happens without your sign-off, and the finished work lands in the open — in the tools your team already uses.

One memory, three intelligences

The other two thirds.

01 · MeasureEngineering IntelligenceUnderstand how your teams really deliver.03 · ExplainFinancial IntelligenceExplain every engineering dollar without timesheets.

Lights out

Automate the chaos, then forget it.

A week in, standup is about blockers instead of status — the triage, the routing, and the repeat tickets are already handled.

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