Control infrastructure for agents in production
Moji runs each agentic workflow as priced, tracked steps inside a stateful runtime. Runs are held inside committed budget thresholds and acceptance criteria, with failed steps recovered in line.
Watch your agents operate inside a fixed budget
Connect one production service or repository.
Check the work where it is produced. Every step carries your acceptance criteria.
Your acceptance checks run on each step as it completes. A problem is caught at its source, with the run and its state still available to recover.
- Checks from your own repository
The quality bar is yours, defined by your own acceptance checks.
- Pass or fail on every step
Each step is verified in the path, while the rest of the work keeps moving.
- Measured on the connected workflow
Every verdict is captured with the step and run that produced it.
- schema validretrieve
- citations resolvedraft
- totals reconcileverify
- policy passpublish
- draftpassed
- fact checkfailed · triagedpassed · attempt 2
- publishin flight
Failures fixed in place
When a step fails, the decision engine classifies the failure and sizes the recovery. Moji re-runs that step with the rest of the job's state intact.
- Triaged in line
The decision engine classifies the failure where it happened and sizes the recovery.
- State stays intact
Completed steps and evidence remain attached to the run.
- Only the failed step is redone
The job returns to the step that failed instead of starting again.
A budget set before the agents run
The quote is a priced multi-step structure. Each step has an assigned model and effort level, a predicted price and an acceptance check. The total becomes the job budget; a run that would exceed it is held with its state intact.
- A spending cap per job
Every model call is metered against it, down to the cached token.
- Latency, tracked honestly
Delivery time is reported at the 95th percentile, where the slow jobs live.
- Your quality bar, written in
The checks come from your own repository and apply to every job.
The evidence to expand autonomy. One report for the whole run.
The dashboard answers what ran, what it cost, what passed and what needs a decision. Each measure traces back to the line, step, item and attempt.
Jobs finished correctly with no human help.
Jobs that needed a person, and at which step.
How long jobs take, measured at the slow end.
Jobs delivered inside their cap.
Every workflow starts supervised. The team expands autonomy when the report supplies the evidence.
Connect one production workflow
The primary route connects a service or repository from the firm's AI stack. Teams can use the same controls for bounded work delegated through coding agents.
- Your AI stackConnect one service or repository. Observe first, then put control in path where needed.
- Your coding agentControl background jobs, schedules and repeated batches inside team rules.
- Connection depthObserve measures and prices; Run in path adds live checks and recovery.
Cloud, VPC and SDK-only are deployment choices inside the firm route. They describe where the runtime sits, not a third way into the product.
Moji operates the runtime.
The runtime is deployed in the customer's cloud account.
Controls run in the connected service. Model calls keep their existing provider path.
Your model calls are encrypted in transit and handled under a data processing agreement.
The controls are split across separate systems
Evaluation platforms score finished work after the run. They do not hold the state needed to recover the failed step.
Gateways meter calls and cap spend per key. They do not set and hold the budget for a whole multi-step job.
Workflow runtimes preserve execution state and retry errors. Output checks and the job budget usually live elsewhere.
Teams try to do bits and pieces of this manually. Moji holds the budget, the checks and the run state together while the work moves.
For teams operating multi-step AI work in production
The clearest fit is a workflow where inference is a material operating cost, a wrong result matters, and recovering one failed step is better than restarting the job.
Start with one production workflow and its acceptance criteria. The report shows whether its budget and quality thresholds held before the team expands the scope.
Use Moji for work handed off beyond an attended chat: background jobs, scheduled work and repeated batches. The agent keeps its own reasoning; Moji controls the budget, checks and recovery around the work.
Teams can expand autonomy when the connected workflow repeatedly holds its budget and quality thresholds.
Request early access
Moji is in early access with a small number of design partners. Leave your work email and, if you like, a line about the workflow you would hand off, and we will come to you.