The building code for Agentic Engineering.
AI Built. Enterprise Owned.
Agile cannot manage machine-speed execution. In-Haus is the foundational Target Operating Model (TOM) that bridges the gap—delivering the velocity of autonomous AI with structural control over Cost, Security, and Code Quality.
The enterprise dilemma
Developers want the freedom of vibe coding. DevOps requires structural control and auditable documentation. In-Haus delivers both.
The 5 C's of Agentic Governance
Five risks of unmanaged AI, each paired with the control that answers it.
CostAre Agents Consuming Compute Without Delivering Value?
Show the risk and control
The Enterprise Risk Agents can loop on the same failure and spend compute without producing anything.
The In-Haus Control (Materials Budget) Every Build Phase runs on a fixed Materials Budget. Repeated failures stop and go to a person before they drain it.
ControlAre Agents Only Executing Approved Tasks Using Approved Tools?
Show the risk and control
The Enterprise Risk Agents can use tools, change systems or start work that no one approved.
The In-Haus Control (Site Logistics) Each AI Build Agent works only inside its approved Build Spec and Build Boundaries. Nothing runs without the Owner's permission.
CoherenceIs the Execution Engine Building Exactly What Was Designed?
Show the risk and control
The Enterprise Risk Vibe coding builds from conversation. Over many rounds, agents drift from the design, add features no one approved and pile up technical debt.
The In-Haus Control (Structural Integrity) Agents build from protected architectural blueprints: an approved Master Blueprint that changes only by signed change order. If a requirement is not written in it, In-Haus does not build it.
ComplianceDoes the Output Meet Strict Enterprise Security and IP Standards?
Show the risk and control
The Enterprise Risk Code written at machine speed can carry security holes and open-source license problems just as fast.
The In-Haus Control (Code Compliance) Every Build Spec is held to the Building Code and passes security and IP checks before the Build Foreman issues a Green Tag.
CommunityAre Human Engineers Verifying Architecture or Just Reviewing Syntax?
Show the risk and control
The Enterprise Risk Reviewers face more AI-written code than they can read, and start approving code that looks right but is built wrong.
The In-Haus Control (Build Managers) AI Build Managers review every piece first. The enterprise's Build Managers then review it against the Building Code, and named people sign each gate.
The Target Operating Model Transition.
Agile runs on loose user stories and negotiation. In-Haus runs as a regulated build site: written specifications, signed gates and protected architectural blueprints.