You will get an AI governance policy and controls outline
Rising Talent
Project details
You will get a practical, approval-ready AI governance deliverable designed to reduce ambiguity and help your team move forward responsibly. I focus on turning vague AI initiatives into clear policy,
control, and review artifacts that leadership, security, compliance, and operating teams can actually use.
This project is a strong fit if you are defining how your company should use AI internally, setting review boundaries, identifying minimum controls, or preparing for a more structured rollout. Depending on
the tier, I can provide a policy outline, fuller governance draft, controls matrix, roles and responsibilities, and a 30/60/90-day roadmap.
My approach is structured, operational, and review-oriented. I do not deliver generic AI content. I tailor the governance package to your use cases, risk profile, and stakeholder needs so the output is
easier to review, approve, and put into practice.
control, and review artifacts that leadership, security, compliance, and operating teams can actually use.
This project is a strong fit if you are defining how your company should use AI internally, setting review boundaries, identifying minimum controls, or preparing for a more structured rollout. Depending on
the tier, I can provide a policy outline, fuller governance draft, controls matrix, roles and responsibilities, and a 30/60/90-day roadmap.
My approach is structured, operational, and review-oriented. I do not deliver generic AI content. I tailor the governance package to your use cases, risk profile, and stakeholder needs so the output is
easier to review, approve, and put into practice.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
SonnetAI Development Language
JavaWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - |
Frequently asked questions
About Derek
AI Governance Consultant | PRDs, Risk Reviews, AI Policy.
Philadelphia, United States - 3:37 pm local time
Clients bring me in when they do not need more brainstorming. They need a concrete artifact that defines scope, roles and permissions, approval checkpoints, status transitions, acceptance criteria, and the open questions that still need a decision.
I am strongest on work such as:
- AI governance policies, controls frameworks, and readiness assessments
- EU AI Act readiness assessments, NIST AI RMF gap analyses, and ISO/IEC 42001 readiness briefs
- workflow requirements, approval-ready PRDs, and execution-ready technical specifications
- AI system inventories, risk registers, and controls matrices
- agent and AI system architecture specifications
- implementation plans and milestone-ready kickoff packs for regulated or high-stakes AI/software work
I work with two common client situations:
- the team has a compliance, policy, or framework problem and needs a reviewable governance artifact
- the team has a real workflow in motion, but roles, approval boundaries, human-in-the-loop logic, and system requirements have not been structured clearly enough for build or internal review
Typical deliverables include:
- AI governance policy drafts and readiness assessments
- AI risk registers, controls matrices, and AI system inventories
- workflow maps with roles, permissions, status transitions, and approval paths
- PRDs, requirements specifications, and stakeholder-ready summary memos
- architecture and system specification documents
- audit or risk review memos
Clients usually hire me when:
- the brief is still vague
- multiple stakeholders need alignment
- approval boundaries are unclear
- workflow logic and human oversight requirements are still implicit
- the first milestone needs to be easy to review and approve
- the work carries compliance, security, or delivery risk
My approach is practical:
- clarify the actual objective
- define scope, assumptions, and system boundaries early
- make roles, approvals, status transitions, and human oversight explicit
- write artifacts that are usable, not theoretical
- produce deliverables that implementation teams can execute from and leadership can review quickly
My background includes enterprise technical consulting, defense and aerospace delivery environments, digital transformation, systems engineering, and technical pre-sales for complex software initiatives. I am a strong fit for teams that need structure, precision, and operational realism around AI and software programs.
If you need a first deliverable that reduces ambiguity instead of adding to it, I am a strong fit.
Steps for completing your project
After purchasing the project, send requirements so Derek can start the project.
Delivery time starts when Derek receives requirements from you.
Derek works on your project following the steps below.
Revisions may occur after the delivery date.
Review your goals and current AI use
I review your requirements, intended AI use cases, existing policies, and any security, compliance, or stakeholder constraints.
Define governance scope and control priorities
I identify the most relevant policy boundaries, risk areas, approval needs, and practical control themes for your situation.