The AI operating system for modern engineering teams
Agily unifies async standups, sprint planning, roadmaps, reporting and an AI Scrum Master into one connected platform — so engineering teams spend less time updating tools and more time building product.
Our mission
Most teams run their day-to-day work across five or six disconnected tools — a chat app for standups, a board for tickets, a spreadsheet for capacity, a doc for retros. Every hand-off between them loses context and costs time. Agily exists to close that gap: one multi-tenant workspace where planning, delivery and reporting share the same data, so nothing has to be re-typed or reconciled by hand.
Why we built Agily
We built Agily for the teams we used to be part of — squads shipping real software under real deadlines, tired of stand-ups that repeat themselves and reports that are stale the moment they're exported. Rather than bolt AI onto another generic tracker, we designed Agily around it from the ground up: routines that summarize themselves, reports that explain what changed and why, and an assistant that drafts the busywork so people can review it instead of typing it.
What Agily does
Agily brings the full lifecycle of engineering work — organizations, projects, sprints, work items, releases, roadmaps and documentation — into one role-based workspace, backed by an AI layer that assists rather than replaces human judgment.
Async Routines
Recurring async check-ins delivered where your team already talks — Slack, Microsoft Teams, Telegram or Discord — with an AI-or-deterministic-fallback summary posted back automatically.
Sprint & Capacity Planning
A real capacity engine — schedules, holiday calendars, leave and focus time — behind every sprint commitment, with an AI assistant that proposes a plan for the team to review, never one that decides it.
Kanban, Roadmaps & Releases
Backlogs, boards, dependency-aware roadmaps and release tracking with data-driven, role-based permissions scoped to every organization and project.
Reports & Insights
Burndown, throughput, cycle time and team analytics, with an optional AI narrative that explains what the numbers mean — grounded only in the data on screen.
What we believe
Humans stay in the loop
Every AI-generated suggestion — a summary, a sprint plan, a set of subtasks — is a draft a person reviews and approves. Nothing is written or committed automatically.
One source of truth
Capacity, permissions and project state are decided by deterministic business logic, not by a model's best guess — AI proposes within those rules, it never overrides them.
Privacy by design
Every organization's data is isolated at the application layer, and sensitive credentials — API keys, connected accounts — are encrypted at rest, not just in transit.
See Agily with your own team's data
Start a free trial, or send us a message and we'll walk you through it.