Embedded delivery lead
Aech runs your weekly lane with your division owner, turning priorities, access, and approvals into shipped agent outcomes.
Reserved AI delivery capacity for your enterprise.
Ship AI agents now. Build the team to own them.
Agent Aech Velocity Pods embed a dedicated delivery lead inside your division. Your Pod ships agents on a weekly cadence, trains your internal AI owner, and leaves you with the builder, operating model, and backlog to keep extending your own agent factory.
Velocity Pod
A reserved delivery lane that leaves internal capability behind.
A Velocity Pod is not a package of one-off workflow picks or staff augmentation. It is reserved AI engineering delivery capacity: a human Aech lead plus the Agent Aech build workflow, running every week with your division owner, access path, backlog, and internal AI owner.
Standard pod term
6 months
Long enough to ship real outcomes and transfer the operating rhythm to your internal owner.
Release cadence
Weekly
Steering, shipping, blockers, and internal enablement happen on a repeating cadence.
The high-leverage outcome is not only what Aech ships during the Pod. It is your internal AI resource, builder access, backlog, runbooks, and governance model so you can keep building after the Pod ends.
Why This Matters
The bottleneck is internal AI capacity.
Your AI program should not have to wait for every access, approval, security decision, and stakeholder queue to line up before you start shipping. Hiring the right internal AI leader can take months. Waiting for that hire means you lose the learning curve.
Velocity Pod solves both problems at once. Aech starts the delivery engine immediately, then helps you define, hire, and train your internal AI resource who can own the factory long term.
Capability Transfer
The Pod is a bridge to your own AI team.
The short-term win is delivery speed. The bigger win is leaving the person, process, and platform access your team needs to own its agent lifecycle end to end.
Internal AI resource
The Pod helps you define the role, hiring profile, interview signals, and training path for the person who will take over.
Your software factory
Harness Manager gives your internal IT or AI team the builder, admin controls, and runbooks to build and maintain agents themselves.
Build And Run
Build during the Pod. Run after the Pod.
Your Pod is all-inclusive for in-scope delivery work during the term, except token usage. The more ready work you bring, the more agents and operating assets you can pull through the same reserved lane. After the Pod, you can keep running what shipped and, when it fits your organization, keep the builder available so your internal team can keep creating agents for your own stakeholders.
Builds are included
Every in-scope agent, app, integration, dashboard, review gate, runbook, and hardening artifact shipped during the Pod term is included in the Pod.
Throughput is the upside
You are reserving a delivery lane, not buying a fixed agent count. If your backlog, access, and approvals are ready, the lane can ship much more value.
Run continues after
When the Pod ends, the agents you shipped move to monthly run pricing so you can keep operating without paying for dedicated delivery capacity.
Builder can stay with you
If you want to build your own agents after the Pod, the Agent Aech builder can remain available: similar to the MSP builder model, but pointed inward for your internal IT customers and business stakeholders.
Engagement Model
Six months to build the lane and the internal owner.
First 30 days
Start the lane and name the future owner
- Kick off with your division product owner and internal IT or AI owner.
- Build your ready backlog, access path, review model, and release cadence.
- Ship your first useful agent outcome while documenting how it was built.
Weekly release train
Ship work and train the internal owner
- Run up to two active build workstreams while everything else stays in your queued backlog.
- Use shipped logs, blockers, review data, and cost signals to tune your operating process.
- Train your team to build with the Agent Aech builder: agent design, prompts, capabilities, permissions, evals, and release management.
Ownership transfer
Build your agent factory
- Help you define or hire your internal AI resource who can take over.
- Move more build and maintenance responsibility to your team.
- Leave reusable patterns, runbooks, builder training, and an agent backlog that you can keep extending.
Completion Contract
The Pod ships outcomes and capability transfer.
The work is tracked through operating artifacts that make progress, blockers, ownership, and internal enablement visible every week.
- Weekly shipped work logs.
- Your named division product owner and internal AI or IT owner.
- Explicit blocker list with owner and next action.
- Your ready backlog and reliability backlog.
- Every in-scope agent built during the Pod term.
- Your production agents, apps, integrations, dashboards, and hardening artifacts.
- Agent Aech builder training for your internal team.
- Optional post-Pod builder access for your internal software factory.
- Your agent design patterns, prompts, review gates, evals, and runbooks.
- Your internal AI resource role profile, interview support, and training plan when needed.
- Run-only transition plan for shipped agents after the Pod ends.
Enterprise Proof Points
The platform becomes your software factory.
Harness Manager builder
Your IT and AI teams get the administration and builder surface for building and maintaining agents.
Microsoft 365 and agent identity
Your agents can operate through Microsoft 365 with scoped identities, approvals, and tenant-aware controls.
RBAC and scoped permissions
Your admins control who can configure agents, approve access, review runs, and bind tools.
Private runtime options
On-prem, local inference-capable, and private deployment patterns support your data boundaries.
Audit-ready operating record
Every run preserves source context, tool activity, approvals, costs, review points, and outcomes.
Runbooks and evals
Your team keeps the patterns, regression checks, dashboards, and handoff documentation.
Next Step
Discuss the division that needs AI delivery capacity.
Bring the product owner, the backlog you wish existed, and the internal AI role you want to create. We will map your Pod around shipping now and transferring capability.