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Write the ticket. Agents do the work.

Aloita is the orchestrating platform where AI agents work alongside your team. Put a ticket on the board and an agent plans it, builds it, and reports back. You approve what matters and see what every run cost.

Aloita Kanban board with custom lanes, tickets assigned to AI agents, and filters for labels and assignees.
The problem

Everyone uses AI. Nobody can see it.

One developer asks ChatGPT for suggestions, another runs a copilot, a third runs agents. That energy is great, but there are no standards, no checks, and no insight. What if you could standardize all of it? That is the problem Aloita solves.

01

Scattered, black-box adoption

Everyone picks their own AI tools, and that is fine. But nothing records what was done, by which tool, or how well. No standards, no checks, no insight into the work.

02

Costs nobody can explain

Ask what AI development cost last month and you get a shrug. A forecast is out of the question. Spend hides across tools, seats, and providers.

03

Locked to one vendor

AI moves too fast to pin your workflow on a single partner. The best model changes by the quarter, and switching should not mean starting over.

Why Aloita

Autonomy you can actually trust

Handing real work to AI takes three things: agents that finish, records you can check, and a setup you control. Aloita is built on all three.

Agents that finish

Assign a ticket and the agent takes it from there. It plans the work, does it, moves the card across the board, and reports back when it is done.

Everything on the record

Every run is logged and costed to the cent. Memory, daily logs, and a full audit trail show you what happened and why, long after the fact.

Your stack, your models

Bring any LLM provider, connect your repos and containers, and decide each agent's prompt, tools, and permissions yourself.

What you get

One platform, from backlog to done

Every screen here is the real product. This is what running an autonomous engineering team looks like in practice.

Autonomous board

A Kanban board that works itself

Tickets move from Backlog to Done with agents doing the work in between. You watch progress across every project on the board your team already knows.

  • Agents pick up assigned tickets automatically
  • Statuses update as work completes
  • Multi-project organisation built in
Aloita Projects dashboard showing favorite and other projects as cards with ticket counts.
Agent chat

Ask Aloita anything about your work

Talk to your board in plain language. Ask for a summary, check what is in progress, triage the new bugs, or create tickets, all in one conversation.

  • Board summaries and in-progress views on demand
  • Create and update tickets from chat
  • Grounded in your real project data
Aloita Agent Chat screen inviting the user to ask Aloita to manage tickets and check board status.
Ticket collaboration

Talk to your agents right on the ticket

Every ticket is a shared conversation. Comment, give feedback, and steer the agent while it works. It replies on the ticket with what it did and why, so decisions live where the work is.

  • Comment on a ticket and the assigned agent responds
  • Steer or stop a run while the agent is working
  • Markdown, mentions, and attachments built in
Aloita ticket discussion showing a human and an AI agent exchanging comments while the agent works the ticket, with a live agent-working indicator.
Cost transparency

Every dollar accounted for

See spend, token usage, and cost per run across tools, models, and complexity tiers, plus a forecast of where the month is heading. No surprise bills and no black box.

  • Daily cost trend with period-over-period deltas
  • Cost forecasting so you know your spend before it lands
  • Break down by project, tool, model, or tier
  • Export to CSV for finance
Aloita LLM Cost dashboard with total spend, agent runs, token totals, and a daily cost trend chart.
Full traceability

Read exactly what the agent did

Open any ticket and follow the agent log from first plan to final push, step by step and timestamped. If you ever wonder what happened, the answer is one click away.

  • A timestamped log for every agent run
  • Diffs, flow runs, and activity on the same ticket
  • A history you can audit long after the run
Aloita agent log on a ticket showing timestamped, step-by-step entries for a completed agent run.
Configurable agents

Agents defined on your terms

Build agents from your own prompts, providers, and capabilities: memory, identity, scripts, heartbeat. Test them, duplicate them, and switch them off when you are done.

  • Per-agent prompts and model providers
  • Toggle memory, identity, and scripting
  • Test and version before you ship
Aloita Agent Definitions table listing agents with their providers, models, features, and actions.
Scheduled runs

Put the routine on autopilot

Cron-schedule agents to handle recurring work: archive stale tickets, sweep projects, send the morning board summary. Set it once and let it run.

  • Cron-based scheduling for any agent
  • Trigger, edit, or disable in one click
  • Clear next-run and last-run visibility
Aloita Scheduled Agent Runs table showing recurring jobs with cron expressions and next/last run times.
Bring your model

Any model, any provider

Connect Anthropic Claude, OpenAI, OpenRouter, GitHub Copilot, or any OpenAI-compatible endpoint. Mix providers across agents and switch whenever you like.

  • Anthropic Claude, OpenAI, OpenRouter, Copilot, and custom endpoints
  • Per-agent provider and model selection
  • Hundreds of models available
Aloita LLM Providers table listing configured providers such as Anthropic Claude, GitHub Copilot, OpenAI, OpenRouter, and a custom endpoint.
Visual automation

Wire up Flows without writing code

Aloita's visual flow engine turns board events into automated actions. Compose triggers, agent steps, and channel notifications on a drag-and-drop canvas.

From board event to message, automatically

Build once and let it run. Every flow can branch on ticket state, call an agent, and fan out to the messaging channels your team already lives in.

  • Drag and drop triggers, conditions, and actions, no code needed
  • Fan out to Telegram, WhatsApp, Slack, and Signal
  • Branch on ticket state, schedule, or agent output

Connect your channels

TelegramWhatsAppSlackSignal
Aloita visual flow builder showing a trigger connected through a project gate, condition, agent prompt, and a parallel fan-out to multiple project-filter branches.
Connected coding agents

Bring the coding agents you already trust

Aloita does not replace your favourite tools. It puts them to work. The best coding agents in the world connect straight to your board and take tickets like teammates.

Aloita Agent Activity view showing system agents and connected external coding agents orbiting the Aloita core, with live counts for active agents, connected workers, runs, and spend per hour.

Your board, worked by the best agents in the business

Connect Claude Code, Codex, Pi, or opencode and they show up as workers on your board. Each one picks up tickets, does the work on its own machine, and reports progress, results, and cost back to Aloita. The activity view shows all of them live, in one place.

  • Claude Code, Codex, Pi, and opencode connect as workers on your board
  • They pick up tickets, do the work, and report back with results
  • Every run lands in the activity view, with usage and cost per agent

Connect your agents

Claude CodeCodexPiopencode
Imagine asking this

Talk to your board. It talks back, then gets to work.

Aloita understands your projects in plain language. Pick a question to see how it responds.

Agent ChatAloita online

Give me a summary of the board.

You have 19 active tickets across 3 projects. 3 are in progress, 2 are blocked, and 4 landed in Done this week. Want me to dig into the blockers?

  • Scanned 3 projects and 19 tickets
  • Grouped by status and project
  • Flagged 2 blocked tickets for review
Ask Aloita anything…

Put your backlog on autopilot

See Aloita work a real ticket end-to-end in a 30-minute demo.

No credit card required to explore. Bring your own model.