Executive field guide · enterprise AI
Forward-deployed engineering buyer’s guide.
A selection and governance framework for enterprise leaders buying an embedded engineering outcome—not a job title. Use it to test the mandate, the delivery boundary, the production proof, and the system of ownership.
01 · Contract
Buy a governable outcome with a named owner and acceptance evidence.
02 · Control
Make access, evaluation, authority, release, and rollback explicit.
03 · Compound
Require platform leverage, enterprise ownership, and an improvement loop.
The engagement brief
Start with the operating system for the engagement.
A credible brief tells every executive and technical reviewer what will change, where the team will work, what decisions it may make, and which evidence earns production authority.
Outcome contract
The enterprise behavior that will change, the accountable owner, the baseline, the authority boundary, and the evidence used to accept the result.
Operating boundary
The workflow, systems, data classes, users, controls, environments, and production decisions inside scope.
Delivery topology
The team shape, client counterparts, work locations, repositories, environments, ceremonies, and escalation path.
Decision rights
Who decides architecture, data access, tool authority, evaluation readiness, release, rollback, and expansion.
Production proof
The evaluations, control tests, shadow evidence, approvals, operating signals, and traceability required before authority expands.
Ownership path
Where code, configuration, infrastructure definitions, runbooks, evidence, and operating responsibility live at every stage.
Buyer scorecard
Evaluate the operating evidence, not the vocabulary.
Ask each candidate to answer the same questions against the work you intend to fund. Strong answers arrive as inspectable artifacts tied to your boundary—not as a generalized capability list.
| Dimension | Diligence question | Evidence to request |
|---|---|---|
| Outcome definition | Can the team translate executive intent into a governable operating outcome? | Outcome contract with named owner, workflow boundary, acceptance evidence, and decision cadence. |
| Technical depth | Can the proposed engineers reason across product, data, models, integration, security, and operations? | A system walkthrough that connects architecture choices to code, runtime behavior, controls, and operating consequences. |
| Client-boundary delivery | How will the team work in the enterprise’s repositories, identity model, environments, and release process? | Delivery topology, repository plan, environment map, access sequence, and approved engineering path. |
| AI evaluation | What evidence decides whether model and agent behavior is ready for a wider authority boundary? | Evaluation specification, representative test populations, thresholds, exception handling, results, and release disposition. |
| Security and access | How is each access level requested, approved, observed, and revoked? | Role-based access matrix, data-flow map, tool permissions, secrets path, telemetry, and revocation procedure. |
| Production control | Who authorizes release and what happens when behavior or infrastructure moves outside the accepted envelope? | Human authority map, deployment gate, rollback path, incident ownership, and production change record. |
| Evidence discipline | Can a reviewer reconstruct why the system behaved as it did and who authorized the change? | Traceability from requirement through decision, build, evaluation, approval, release, and operating evidence. |
| Platform leverage | Which delivery controls, connectors, evaluation patterns, and evidence mechanisms arrive ready to configure? | A capability map tied to inspectable platform artifacts and the client systems each component will serve. |
| Transfer and improvement | How does enterprise ownership become stronger as the engagement progresses? | Named owners, runbooks, dashboards, repository control, extension points, knowledge transfer, and an improvement backlog. |
Seven buyer gates
Govern the outcome from alignment through improvement.
The seven-stage loop gives procurement, engineering, security, risk, and operations one review architecture. Every gate asks a business question and produces technical evidence.
- 01
Align
Is the outcome governable?
Outcome contract, accountable owner, baseline, authority boundary, and acceptance evidence.
- 02
Observe
Has the team read the real operation?
Observed workflow, system context, data and access map, exception register, and control inventory.
- 03
Design
Are architecture and decision rights explicit?
Architecture decisions, data flows, tool permissions, threat model, human gates, and evaluation design.
- 04
Build
Can the enterprise inspect the production assets?
Reviewed code and configuration, connectors, infrastructure definitions, traceability, and evaluation harness.
- 05
Prove
What evidence expands production authority?
Evaluation results, shadow evidence, control tests, release review, approvals, and rollback readiness.
- 06
Scale
What becomes reusable after the first outcome?
Established controls, reusable platform capabilities, connectors, telemetry, and an expansion pattern.
- 07
Transfer + improve
Who owns the next operating decision?
Repositories, runbooks, dashboards, ownership map, operating evidence, and an improvement loop.
Decision architecture
Name who can move the boundary.
The engagement should surface decision rights before a design choice becomes a release dependency. Authority remains distributed across the people who own the outcome, the system, and the enterprise risk.
Executive sponsor
Outcome priority, enterprise trade-offs, sponsorship, and resolution of cross-functional decisions.
Product or operations owner
Workflow intent, user and operator acceptance, exception policy, and operating readiness.
Forward-deployed delivery lead
Engineering plan, architecture integration, delivery sequence, quality system, and evidence completeness.
Security and risk owners
Boundary design, access approval, control acceptance, risk disposition, and authorization requirements.
Production owner
Release authorization, rollback authority, observability, incident path, and operational acceptance.
Production-readiness packet
Require one coherent technical record.
A production decision should be reviewable as a connected record. The packet below lets an executive, engineer, operator, security reviewer, or successor team reach the relevant evidence without reconstructing the program from presentation files.
Architecture
01System context, data flows, architecture decisions, threat model, tool and model boundaries
Build
02Owned repositories, reviewed changes, configuration, infrastructure definitions, connector and interface contracts
Evaluation
03Evaluation design, test populations, results, exceptions, dispositions, and release criteria
Authorization
04Named decision makers, human gates, release approval, bounded authority, rollback decision
Operations
05Dashboards, runbooks, alerts, incident path, change process, service ownership, improvement backlog
Evidence
06Requirement trace, decision records, approvals, test artifacts, releases, and verifiable operating history
Scope acceptance test
The statement of work should settle these questions.
Commercial structure can vary. The operating contract should still make the outcome, authority, evidence, and ownership unambiguous.
- 01A named operating outcome and accountable enterprise owner
- 02The workflow, systems, environments, data classes, and decisions inside scope
- 03The forward-deployed team shape and the client counterparts required to operate
- 04Repository, infrastructure, artifact, and intellectual-property ownership
- 05Access sequencing, approval, observation, elevation, and revocation
- 06Evaluation, control, release, rollback, and production-authorization gates
- 07The evidence package required for technical, security, risk, and executive review
- 08Runbooks, operating ownership, transfer artifacts, and the improvement mechanism
Run the next review
Bring the outcome and the operating boundary.
LockedIn Labs can turn them into the engagement architecture: team, systems, access, evaluation, decision rights, production proof, and enterprise ownership.