Production workflow deployment

Deploy the Midfleet control layer around real engineering work.

Move one production workflow from intent to reviewed evidence with visible ownership and controlled checkpoints. Deploy Midfleet-hosted, in your cloud or private environment, or as a hybrid, while keeping the agents, models, repositories, and CI you already use.

Book a call

Illustrative product view

See ownership, checkpoints, and evidence on one workflow.

This example shows how a governed run can expose who owns each step, what needs attention, and which evidence is required before work can complete.

midfleetGitHub epicdeployment_sprint_v1

Connect one repository-scoped engineering workflow to the control layer.

Illustrative control path; hosting and runtime boundaries are selected during scoping.

DeploymentNeeds Attentionoperator review

Run progressStep 3 of 4 - Verify evidence

Map workflowFDE lead - repo, tools, approvalsDone
Connect workflowRuntime - agents, providers, repositoryDone
Verify evidenceOperator - tests, PR, run stateNeeds attention
Expand or holdTeam - next workflow decisionWaiting

Illustrative product view - example workflow and data

Workflow outcomes

Get useful agent work to a controlled finish.

Midfleet adds shared operating state and completion controls without replacing your agents, models, repositories, or CI.

Move work with clear ownership

Route an approved engineering outcome across agents and people without losing scope, blockers, or context.

Stop at the right boundaries

Put reviews, approvals, and evidence checks between agent output and the next production step.

See what needs attention

Give operators one view of active work, owners, exceptions, and the evidence required to finish.

Engagement at a glance

Know the inputs, working model, and exit criteria before scoping.

Start with one production workflow and choose Midfleet-hosted, customer cloud/private, or hybrid deployment during discovery.

View engagement detailsTimeline, participants, deliverables, support, and commercial shape

Typical timeline

Phased around the workflow, integrations, and security review. We confirm a realistic plan after discovery rather than promise a fixed duration.

Participants

Your engineering owner, a workflow operator, and security or platform stakeholders as needed, working with Midfleet engineering.

Prerequisites

One valuable workflow, an accountable owner, repository and CI boundaries, and access to the systems approved for integration.

Deliverables

A scoped control-layer deployment, connected workflow, operating boundaries, review and evidence gates, and a documented path to operate or expand it.

Response and next step

We review the request as availability allows. The next step is a scoping conversation to validate fit, dependencies, and deployment shape.

Success criteria

Your selected workflow reaches an agreed outcome with visible ownership, enforced checkpoints, inspectable evidence, and a clear operator handoff.

Ownership and support

Ownership, run support, escalation, and post-deployment responsibilities are agreed during scoping and documented with the operating model.

Commercial shape

The engagement is custom-scoped around deployment, integrations, security work, and implementation support. Commercial terms are agreed before work begins.

FAQ

Questions teams ask before we build.

Deployment, guardrails, scope, and pricing are shaped around the workflow you need.

Where can Midfleet run?

Choose Midfleet-hosted, customer cloud/private, or hybrid deployment during scoping. The selected shape depends on your workflow, integrations, and security boundaries.

Can we keep our current tools?

Yes. The control layer works with existing agents, models, repositories, and CI, connecting only the systems approved for the workflow.

How do guardrails work?

Scope boundaries, reviews, approvals, blocker paths, and required evidence are agreed for the selected workflow before implementation.

Can this cover more than one workflow?

It can expand, but scoping starts with one valuable workflow so ownership, checkpoints, and success criteria are explicit.

How is pricing handled?

Commercial terms are custom-scoped around deployment, integrations, security work, and implementation support before work begins.

What happens after deployment?

Operating ownership, support, escalation, and any expansion path are agreed during scoping and documented with the operating model.

Book a call

Tell us which production workflow needs a control layer.

Share the outcome, current stack, and required boundaries. Do not include credentials, source code, or other sensitive information.

Midfleet-hosted, customer cloud/private, or hybrid
Existing agents, models, repositories, and CI stay in place
Scope and commercial terms agreed before implementation