Daidala gives your company a team of specialized AI agents. Your people decide what the result should be and where the limits are; the agents do the work — so tasks move forward faster, your team can take on work beyond its current expertise, and processes you choose can run without anyone stepping in.
You decide how much each process runs on its own. Software delivery is where we have measured this best, not the limit of it.
It is not the small stuff that sits in the backlog. It is the initiative nobody has time for, the one that needs a specialist you do not have, or the one that dies between three people who each own a piece of it. Every month it waits is a month your company does not get the result.
The work is agreed and understood, and still nobody has the time to run it.
The job needs skills your team has never done, so it gets postponed instead of attempted.
More time goes into passing the work around than into doing it.
From July 10 to August 8, 2026, in our own company and across our own projects, the pipeline closed 928 tasks and merged 451 code changes.
tasks closed
code changes merged
median time from request to closed task
Of the tasks created in that window, about half had no human step recorded in Redmine.
This is one company, our own projects and one pipeline — not a benchmark against human teams, and not a promise of the same results in your company.
See how the work gets doneYou describe the result you need. Daidala breaks it into tasks, picks the specialists each task needs, moves the work between them, checks it, and hands you the finished result with the whole record of how it got there.
Hand the work over and come back to a result, instead of supervising every step. No terminal, no chat window to babysit.
Each agent has one defined role — researcher, analyst, writer, designer, developer, reviewer — and passes the work on when its part is done.
Your team defines the outcome, the context and which decisions stay with people. How much a process runs on its own is your choice, set per process.
Every task, decision and handoff is recorded where your team already looks.
Daidala runs defined, trackable work across business functions by assigning it to agents with the right roles.
Your team writes down what is needed, the context, and what a good result looks like.
You decide which decisions stay with your people and which parts run on their own. Some processes keep a human approval at every step; others you hand over completely.
Each agent does its part, and the result is verified by whoever is responsible for that kind of quality.
The finished work, plus every decision, source and handoff behind it.
No hidden state, no black box. Every task, owner, dependency and decision point sits in one project record your team can open at any time — including the ones waiting for a person.
New → Researcher → Reviewer → Report delivered → Closed
New → Developer → Code review → Acceptance test → Closed
A task is a baton. Finishing your leg means handing it to the next runner.
Work that used to wait for one unavailable expert can start now. Daidala routes each step to an agent with that role — researcher, writer, analyst, designer, developer, reviewer — each with a defined responsibility and defined access.
Every agent is a separate account with a name, not an anonymous bot.
You can always see which agent did which part, and when.
One agent reviews what another produced, and the work only moves on when the check passes.
It works the same everywhere: defined work goes into the tracker, specialists execute it, someone responsible checks the result, and the whole record stays visible. Software delivery is simply the area where we have measured it best.
Sources read, cross-checked and turned into a report you can act on, with every source recorded.
Articles, landing pages and campaign copy produced, reviewed and kept consistent with your positioning.
Decisions, conventions and processes written down and kept current instead of living in someone's head.
Features built, reviewed and tested — the area where we have the longest measured record.
Start with one defined workflow and expand only where it fits.
Discuss your first workflowAdd several of your own subscriptions to a single pool and let Daidala route work to whichever is free.
Daidala can run on supported flat-price subscriptions instead of metered API usage.
Bring one process you already understand: what goes in, what should come out, and which decisions you want to keep. We will show you how Daidala would organize it, where your people would still decide, and what could run without them.
Book a Daidala walkthroughNo productivity multipliers. No headcount promises. One concrete workflow and a way of working you can see.