AI services that build, govern, and scale real execution.
We consult, review, and build real AI systems — the kind that hold up once they’re connected to data, workflows, customers, and decisions.
Governed by: AI Bill of Rights • AI Constitution • Truth Protocol+
What we actually do
Most AI failures don’t come from the model. They come from missing structure: unclear boundaries, bad data prep, overloaded prompts, and automation that runs without governance.
We fix the system, not the vibes.
- Design and build AI agents for real workflows
- Automation + approvals (human-in-the-loop)
- Tool/model integration across your stack
Goal: working systems, not prototypes.
- Help you structure and chunk your documents/data
- Ground answers to trusted sources (reduce guessing)
- Define what the AI can and cannot claim
Goal: fewer hallucinations, more reliability.
Why services exist
AI tools are easy to buy. AI systems are hard to run.
Confident AI isn’t the same as correct AI. Automation without governance becomes risk. Prompts without standards don’t scale. That’s why we build systems that can be audited, repeated, and improved.
Boundary: AI Blueprint™ is the operating system. Services are the implementation.
One system. Three ways to engage.
You want it running now — safely.
Best when AI touches customers, money, decisions, or sensitive data.
- Agent/workflow buildout + deployment
- Governance: logs, approvals, refusal rules
- Data chunking/retrieval + source boundaries
- Documentation + clean handoff
Outcome: a working AI system — not advice, not demos.
You already have AI — you don’t fully trust it.
Best for teams with builders who need clarity and risk reduction.
- Architecture + workflow reviews
- Agent/prompt audit and failure-point diagnosis
- Chunking/grounding recommendations
- Governance and escalation design
Outcome: remove hidden failure points before they become incidents.
You’re operational — AI must stay aligned.
Best for organizations worried about drift, misuse, or inconsistency.
- Role-based AI standards + training
- Human-in-the-loop enforcement
- Periodic audits + drift checks
- Adaptive improvements as models evolve
Outcome: AI that improves without quietly going off the rails.
How we’re different
- We don’t start with tools → we start with intent
- We don’t “prompt better” → we design systems
- We don’t automate blindly → we gate actions
- We don’t hide uncertainty → we label it
Anchor: Execution is the product. Governance is the moat.
We operate under public standards: Bill of Rights, Constitution, and Truth Protocol+.
If your AI influences decisions, money, customers, or policy, this matters.
Built on AI Blueprint™ (the system underneath)
AI Blueprint™ is the operating system for governed AI behavior. Services apply it at organizational scale.
Different roles get different boundaries, permissions, and output rules.
Standards are stamped and trackable. Drift becomes visible.
High-stakes actions require approval. Refusal is a feature.
Engagement models (pricing is scoped, not guessed)
We don’t quote blind. Scope comes from role, risk, data reality, and integrations. These tiers describe how we engage — pricing is finalized after intake.
Who this is for (and who it’s not)
- AI touches decisions, money, customers, or data
- You care about repeatability and auditability
- You want AI to improve without losing control
- You want novelty demos
- You want AI to “just figure it out”
- You don’t care if it’s wrong sometimes
Talk to an AI Architect
Short intake first. We’ll route you to the correct path and scope the next step.
Governed by: AI Bill of Rights • AI Constitution • Truth Protocol+