Run engineering work across humans and agents, and pay only for what ships
Stop managing the work item by item. Infersync's autopilot puts your engineers and your AI agents on the work, coordinates it, chases each task to done, and verifies it in Infersync before it counts. Work that fails verification is free, so you pay for what actually shipped, not for effort.
Why teams end up here
- Engineers and AI agents are both on the work, but keeping it all moving to done is still manual coordination in standup and Slack.
- Agents pick up tasks and someone has to babysit them and check by hand whether the work is really finished.
- There is no single place that proves a task shipped; done means someone said so, not that anything verified it.
- You end up paying for effort, seats, and half-finished work rather than for outcomes that actually landed.
- When work stalls, nobody catches it until the sprint is already slipping.
It runs the work, verifies it in-platform, and only counts what ships
Give the autopilot a goal and it plans, assigns across your engineers and AI agents, coordinates, and chases each task to done. A task only counts when Infersync accepts it as genuinely done, via deterministic checks or acceptance criteria fixed before the work starts, so the proof of 'done' lives in the platform rather than in an agent's word. Work that fails verification is free.
Runs the work to done
You give a goal; the autopilot plans, decomposes, assigns across humans and agents, coordinates, and chases the stragglers until each task reaches done. Not a board that waits for a human, but work that got finished.
Verified in Infersync
A task only counts when Infersync accepts it as genuinely done, via deterministic checks (a test suite, a build) or acceptance criteria fixed up front. The proof lives in the platform, and failed work is free.
Pay for work that ships
Billing is per verified task, weighted by size, never per seat and never for effort. When verification fails, you are not charged.
One workforce, humans and agents
Engineers and your AI agents sit on one queue, unlimited, never per seat. The autopilot assigns and coordinates across both.
Two-way GitHub sync as the source
Issues and PRs from your existing GitHub repos drive the work items. No double entry. Edits in Infersync write back to GitHub via webhook.
A spend cap, no surprises
You set a cap and only pay for verified tasks that ship. Failed work is free, so the bill can never run away from you.
Steps to get from zero to live
- 1
Connect GitHub + your workers
OAuth in 30 seconds. Two-way sync covers issues, PRs, labels, assignees, state, comments. Invite engineers and point your AI agents at the queue.
- 2
Set acceptance up front
Attach the checks or acceptance criteria that define done for a task or project, so verification can be automatic where possible.
- 3
Give the autopilot a goal
Ask it to run the work; it assigns across humans and agents, coordinates, and chases each task to done.
- 4
It verifies, then it counts
A task counts only once Infersync accepts it as genuinely done. Work that fails verification is free, so you pay for what shipped.
Available on the Team plan and up
Running the work, platform verification, and the workforce of unlimited engineers and AI agents are all on the Team plan: $500 a month, or pay as you go. Start free on pay-as-you-go, no card, to run real work against your GitHub before committing. You only pay for tasks that ship, failures are free.
FAQs about run engineering work across humans and agents, and pay only for what ships
How do I know a task is actually done?
A task only counts when Infersync accepts it as genuinely done, not when an agent or a person says so. Deterministic checks (a test suite, a required field, a build) auto-accept; acceptance criteria fixed before the work starts auto-accept on evidence; genuinely subjective work is a one-click human accept. Work that fails verification is free.
What does 'pay only for what ships' mean in practice?
Billing is per verified task, weighted by size, never per seat and never a charge on effort. If a task fails verification you are not billed for it. When the evaluator is unsure it rounds down, and a wrong call is a one-click dispute with instant credit.
Does this work without an AI / LLM key?
The verification is deterministic and needs no LLM. The natural-language assignment step uses an LLM; you bring your own Anthropic / OpenAI / Google key (zero token markup from us), or the autopilot falls back to deterministic routing without natural-language input.
Do the agents run on your servers?
No. Your AI agents run on your own hardware and your own LLM keys at zero markup. Infersync sells the coordination and the guarantee that the work gets done and verified, not the compute.
See also: Engineering delivery • AI task assignment • GitHub work, verified • Capacity planning.