Your data.
What Claude can see. What stays private. What never enters the system.
JEREMY LEEPER / CLAUDE AI CONSULTANT
Intelligent Systems.Built for Growth.
I help companies design, build, and govern practical Claude-powered systems—from AI assistants and content pipelines to internal agent teams and workflow automation.
MEASURED.SAFE.HUMAN-LED.
THE MODEL IS POWERFUL.
THE SYSTEM MAKES IT USEFUL.
THE HUMAN KEEPS IT ACCOUNTABLE.
THE AI SAFETY TABLE
Before Claude does the work, we decide the rules.
A useful AI system is not just a prompt. It is a clear agreement between data, rules, workflow, and human judgment.
Your rules.
Brand voice, compliance needs, approvals, permissions, and escalation.
Your workflow.
The real business process Claude supports—not a demo searching for a problem.
Your human checkpoint.
Where a person reviews, approves, corrects, or overrides the system.
SYSTEM STATECONTROLLED
WHAT I BUILD
Claude is the engine.
I build the operating layer.
Every build starts with a business problem, a person responsible for the outcome, and a clear definition of “working.”
SERVICE + SUPPORT
Claude AI Assistants
Focused assistants that know the job, use the right context, and hand important decisions back to a person.
MULTI-STEP WORK
Claude Agent Teams
Coordinated roles for research, analysis, drafting, review, and routing—without pretending judgment can be automated away.
MARKETING OPS
Claude Content Pipelines
Repeatable systems for turning source material into useful, on-brand content with review built into the line.
OPERATIONS
Claude Workflow Automation
Claude connected to the work already happening across intake, follow-up, reporting, knowledge, and operations.
INTERNAL KNOWLEDGE
Business Knowledge Systems
A governed source of truth that helps your team find, understand, and use the knowledge the business already owns.
CONTROL LAYER
Governance + Safety
Data boundaries, review layers, approval rules, escalation paths, and documentation that keep people in control.
WHY COMPANIES CHOOSE ME
I understand the tools. I also understand your business needs.
I have worked across websites, SEO, content, email, automation, software, and business operations. That range matters because the best AI opportunities rarely live inside one department or one product.
- Business first. We find the bottleneck and the ROI before choosing the build.
- Governance built in. Data boundaries and review are part of the architecture.
- Plain-English leadership. Your team will finally "get" how to use AI like power users.
- No AI theater. If Claude is not the right answer, I will say so.
Fold time. Keep judgment.
CONNECTED EXPERTISE
A technical build with a business brain.
Open the areas most relevant to the system you are considering.
Marketing Systems+
SEO, copywriting, websites, funnels, content operations, email, lead flow, and the connective tissue between them.
AI System Design+
Claude workflows, prompt systems, context engineering, agent orchestration, knowledge architecture, and evaluation.
Software + Web+
HTML, CSS, JavaScript, Python foundations, product planning, internal tools, dashboards, and client portals.
LLM Workspaces+
Practical builds across Claude, Codex, Cursor, Replit, VS Code, Xcode, Obsidian, and modern AI-assisted development.
Business Strategy+
Offers, positioning, intake, sales systems, operations, customer experience, bottleneck discovery, and sequencing.
Governance Mindset+
Human-in-the-loop review, data boundaries, source-of-truth discipline, risk reduction, documentation, and team training.
THE SMRT METHOD
Build the system in the right order.
Strategy, implementation, governance, and adoption belong in one operating rhythm.
Map
Find the work, the friction, and the decisions.
Structure
Pin the outcome, context, roles, and boundaries.
Build
Turn the design into a useful working system.
Govern
Add review, permissions, escalation, and evidence.
Train
Make the team confident enough to use it well.
Improve
Measure the output and strengthen the system.
TRAIN THE TEAM
Use AI tools with confidence.
Empower your team with a comprehensive workshop that boosts their productivity and cements their confidence.
GOVERNANCE REFERENCES
AI is powerful. That is why it needs rules.
I use globally recognized risk and governance frameworks to shape practical guardrails for every system I build.
UNITED STATES / VOLUNTARY
NIST AI RMF
Govern. Map. Measure. Manage. A practical structure for thinking about AI risk across the lifecycle.
VIEW OFFICIAL FRAMEWORK SINGAPORE / MODEL FRAMEWORKModel AI Governance Framework
Clear responsibility, appropriate human involvement, operations management, and transparent communication.
VIEW OFFICIAL FRAMEWORK EUROPEAN UNION / REGULATIONRegulation (EU) 2024/1689
A useful reminder that controls should rise with the potential impact of the AI use case.
VIEW OFFICIAL REGULATIONRead more about AI governance.
THE WORK
Real business systems. Candy-coated confidence.
SMRT AI operating systems
One working layer across context, tools, handoffs, and team review.
Client intake systems
Better qualification, routing, ownership, and follow-through after submission.
Marketing + content pipelines
Faster production without surrendering source quality, voice, or judgment.
Custom business tools
Focused interfaces that help people perform the next step correctly.
A STRONG FIT
You have real work that needs a smarter operating layer.
- Founders and executives with a clear operating problem
- Marketing and operations teams carrying repetitive knowledge work
- Agencies and professional service firms building repeatable delivery
- Teams exploring Claude and unsure what should come first
- Leaders who want useful AI without losing human control
NOT A STRONG FIT
You want the appearance of AI more than a working system.
- Unsupervised automation for consequential decisions
- Shortcuts that ignore source quality or data boundaries
- Another disconnected tool without an owner or process
- A “set it and forget it” promise for work that requires judgment
WAYS TO WORK TOGETHER
Start with the smallest useful next move.
You do not need a transformation project to begin. You need a clear first decision.
START HERE$599
Claude AI Strategy Session
A focused working session to identify the right use case before you commit to a build.
- Opportunity and bottleneck map
- Workflow and risk review
- Prioritized Claude use cases
- A practical 30-day action plan
BUILDCustom
Claude System Build
A working Claude system designed around one real business process and handed off with the controls it needs.
- System and workflow design
- Prompt and context architecture
- Governance and review layer
- Documentation and handoff
ENABLECustom
Claude Team Training
Plain-English training that gives your team useful patterns, safer habits, and supervised practice.
- Claude fundamentals
- Prompting and context
- Safety and review standards
- Role-specific exercises
QUESTIONS BEFORE ACCESS
Trust starts with specifics.
Commercial Claude data practices vary by product, configuration, and agreement. Your system plan should name those details before work begins.
Review Anthropic’s commercial data retention overviewWhere does our data live?+
That depends on the Claude product, connected tools, and architecture you choose. Before a build, we document what is stored, where it is stored, who can access it, and what retention settings apply. No vague answers and no assumptions.
What can Claude see?+
Only the information and tools the system is intentionally given access to. The build starts by defining the minimum context required for the job and separating useful access from unnecessary exposure.
Can the system make important decisions by itself?+
It should not make a consequential decision simply because it can generate an answer. We identify which actions Claude may complete, which require review, and which remain fully human.
How will my team know what to approve?+
Review criteria, escalation triggers, and ownership are designed into the workflow. The team receives documentation and training so the human checkpoint is a real operating step—not a disclaimer.
How do we know whether the output is trustworthy?+
We define what a good output looks like, test against representative work, preserve source visibility where appropriate, and monitor the decisions that matter. Trust comes from evidence and control, not confidence in a fluent answer.
READY WHEN THE PROBLEM IS REAL
Bring me the mess.
We’ll build the system.
Start with a Claude AI Strategy Session. Leave with a clearer opportunity, a safer plan, and the right next move.
Book a Strategy Session