# QBase AI — full public site text Source: https://qbaseai.com QBase AI LLC, a Texas LLC. 1540 Keller Parkway, Suite 110 #140, Keller, TX 76248. Phone (817) 623-5828. Email info@qbaseai.com. This file contains the body copy of the public pages of qbaseai.com in plain text, so that agents and readers that do not execute JavaScript can read the site. Legal pages (Privacy Policy, Terms of Service) are summarized here; the binding text lives at https://qbaseai.com/privacy and https://qbaseai.com/terms. --- ## Home — https://qbaseai.com/ Intent-Governed AI More output. Less overhead. AI built into how your team already works. AI embedded in your operations, not bolted on top — so your team produces more outcomes, with consistently higher quality. Every motion governed. Every decision traceable. Trust earned in measurable steps. Calls to action: Start with the AI Workshop — $5,000. Schedule a Conversation. ### 01 / What You Get — Delivered Capability 1. AI embedded into governed motions — the repeatable parts of the work get done faster, so your people spend their time where judgment actually matters. 2. Purpose-built lenses tuned to how your teams already think — sales, creative, finance, growth — so adoption doesn't require retraining everyone. 3. Deterministic policy enforcement — same inputs, same decision, every time. Consistent output quality even when someone's out sick or it's quarter-end. 4. Immutable audit trail for every motion. Your team spends less time defending decisions and more time making them. 5. Trust earned in measurable increments — start small, prove it works, expand without betting the operation on it. ### 02 / Engagement Model — How We Engage 01. AI Workshop — $5,000. A structured diagnostic that maps your motions, policies, context, and AI feasibility. You own the deliverable outright. $5K credited against your first phase. 02. First Motion Set. Scoped from your assessment, priced per motion, delivered via QBuildR into your own environment, or your own private tenant in ours. 03. Deploy and Prove. Every motion emits an execution record. Autonomy expands only when the evidence supports it. 04. Scale with Confidence. Expand to additional motions, departments, and governed autonomy levels. Usage-based, scales with you. Start with the assessment. Prove it on one motion. Scale with evidence. ### 03 / Who It's For If your business runs on professional judgment, this platform is for you. - Small Businesses. You're doing the work of multiple people. AI handles the repeatable parts so you can focus on the work only you can do — no new headcount required. - Mid Market Businesses. Your team is productive but stretched. AI embedded in your operations means more output and steadier quality — without adding headcount or betting on a science project. Start with one motion; expand when it proves itself. - Enterprise teams. Scale without the variance. AI that produces consistent, auditable work across teams and time zones — every motion governed, every decision traceable. ### Built something with AI? Now your business depends on it. Let's make sure it holds. If you built your app with an AI tool and it's now taking orders, holding customer data, or running part of your operation, an independent look at what's underneath is worth an afternoon. Start with a free URL Check — no access, no call, no account. ### Proof Our own production studio, P7 Studios (https://p7studios.ai), has processed 1,500+ customer orders on a governed, AI-enabled pipeline since May 2025. We built it here, in real operations, before we offered it to you. Start with one motion. Build it right. Scale with confidence. --- ## Services — https://qbaseai.com/services Measured delivery of governed AI motion systems. ### AI Enablement Workshop — $5,000 All-inclusive. Structured diagnostic. Deliverables: motion map; policy sketch; context model; feasibility matrix; vendor-neutral phased implementation plan. Most organizations leave the workshop knowing exactly which two or three processes, if automated, would return the most time to their team. You own the deliverable outright. The $5,000 is credited against your first phase if you proceed. ### Motion Delivery via QBuildR The Delivery Engine. Scoped from your assessment, priced per motion, delivered into your own environment, or your own private tenant in ours. ### Governance Implementation (QGovernR) Deterministic policy enforcement. No language model in the enforcement path. Per-customer motions from reusable patterns. ### Progressive Capability Expansion Trust is not granted to AI. It is earned in measurable increments. L0 (human does, AI observes) through L4 (AI executes autonomously within policy bounds). ### Engagement Tiers — How Engagements Scale Each tier exists to convert proven capability into more output — without ever expanding AI's role faster than the evidence supports. - AI Enablement Workshop. $5,000, all-inclusive. Structured diagnostic. You own the deliverable. - First Motion Set. Scoped from the survey, priced per motion, delivered via QBuildR into your own environment, or your own private tenant in ours. - Motion Expansion. Multiple governed motions across a functional area. - Platform Subscription. Monthly, usage-based, scales with governed motions across the organization. ### Platform Foundation Check A fixed-price review by a senior architect of software that was built with AI tools and now runs part of a business. - URL Check. Free. What anyone on the internet can already see of your app. - Platform Foundation Check. From $2,500. A written report, a ranked fix list, a recorded walkthrough. - Fix-First Sprint. From $5,000. The top of the list, fixed, with your Check fee credited. --- ## Platform — https://qbaseai.com/platform A coordinated product suite built on governed infrastructure. QBase AI is built on four pillars — QConsole, QGovernR, QBuildR, and QLockR. Together they make intent-governed AI something you can actually operate. ### The Four Pillars QConsole — The Operator Console. Operators, owners, and domain experts work through lenses tuned to how they already think — founder cockpit, sales, creative, tasking, Funding & Finance, governance, search. It looks like a workspace; underneath it is a governed motion engine. For your team: people work through lenses that match how they already think — leverage without a steep learning curve. QGovernR — The Governance Control Plane. Deterministic policy enforcement, audit routing, and the control surface that makes AI something you can actually operate. No language model in the enforcement path. Same inputs, same decision, every time. For your team: same policy, every time. No rogue outputs, no drift between people, no exceptions you didn't approve. QBuildR — The Delivery Engine. Turns authored intent into shipped surfaces, integrations, and bespoke motion sets. Operators author once; the resulting relay card is routed at delivery time to either a Direct target (our pipeline) or a Relay target (a builder you already standardize on). Same artifact, full provenance either way. For your team: bespoke work delivered at a speed traditional consultancies can't match — with governance built into every artifact. QLockR — The Trust Infrastructure (umbrella). Three sub-systems that hold every piece of context, credential, and provenance the platform depends on: QCryptR (governed secrets and mathematically immutable audit), QSignal (dynamic per-user signal sources — email, calendar, IM), and QKnowR (graph-based knowledge repo — OCS, per-lens graphs, policy text, institutional memory). Every other pillar reads from and writes to QLockR. For your team: you can hand AI more of the work because every action is bounded, logged, and reversible — and your data, keys, and context stay yours. ### Product Suite Surfaces built on the four pillars. Each is tuned to a specific motion domain and can be used independently or composed into an integrated system. 01. QConsole — The Operator Console. Where people and AI meet. A chat-enabled operator environment that delivers domain-tuned work through purpose-built lenses. Provider-agnostic — works over any model provider or your own models. Lenses: QFoundR (founder/owner cockpit), QSellR (commercial), QCreateR (creative), QFundR (funding and finance), QSeekR (learning, growth, recruitment). 02. QBuildR — The Delivery Engine. How QBase AI ships bespoke work at a speed a traditional consultancy cannot match. Spec-driven development with governance built in. Direct mode and Relay mode. 03. QTrackR — The PMO Surface. Every motion emits an execution record. Full execution tracking across all governed motions. 04. QLedgeR — Immutable Audit Surface. Hash-chained ledger in Aurora PostgreSQL, periodically anchored to a public blockchain. Reconstructable. Verifiable. Tamper-evident. ### Customer Journey — Built for Enablement, Not Dependency The product suite is designed around a journey that begins with diagnosis and graduates to operational independence. The goal is always to get you running your own governed AI system. You don't hand the wheel to AI overnight. You expand its role as it earns it. 01. AI Enablement Workshop ($5,000). The front door. A structured diagnostic that delivers a motion map, policy sketch, context model, and feasibility matrix. You own the deliverable outright. 02. First Motion Set. Scoped from the assessment, priced per motion, delivered via QBuildR into your own environment, or your own private tenant in ours. 03. Platform Subscription. Monthly, usage-based, scales with governed motions. The switching cost is organic, not punitive. Related pages: QFoundR lens (https://qbaseai.com/platform/qfoundr), QBuildR (https://qbaseai.com/platform/qbuildr), QSignal (https://qbaseai.com/platform/qsignal), Eve capability map (https://qbaseai.com/eve). --- ## Platform Foundation Check — https://qbaseai.com/foundation-check You Built with AI. Review it with human experts actively managing production workloads like yours. You built something that works. Before your business depends on it any further, let a senior architect look at what's underneath — the data, the access controls, the backups, the seams — and tell you plainly what needs attention as what you built begins to scale. Free URL Check: give your app's address and an email. We look at your app the way anyone on the internet can. We read table names, column names, row counts and the shape of one row with every value masked. We never pull your data, never write anything, and keep nothing but the result and a log of who asked. ### Why this exists - Veracode, 2026: "45% of AI-generated code contains known vulnerabilities" when written without security guidance; it looks right and isn't safe. - Lovable's own documentation: "For apps handling sensitive data or critical functionality, consider an additional professional security review." - Reeve, August 2026: of 3,680 AI-built apps with a checkable database, 57% returned rows to anyone who asked, no login required. ### How it works 01. URL Check. Free. Give us your app's address. We check it from outside and tell you what anyone can already see. 02. Snapshot. After you've signed up, you paste one prompt into the tool that built your app. It writes a plain description of what's inside — no passwords, no keys — and you read it before you send it. 03. The Check. A senior architect reviews your Snapshot, your app, and whatever access you choose to give. You get a written report, a ranked fix list with day estimates, and a recorded walkthrough. 04. Fix-First Sprint. If you want the top of the list handled, we do it at a fixed price, and what you paid for the Check comes off the bill. ### What it costs Fixed price, set by the size of your system. We quote Starter from the URL Check and confirm the tier from your Snapshot before the clock starts. - Starter — $2,500, 5 working days. One application, one database, up to 2 third-party integrations, a single environment, no multi-tenancy, no payments or regulated data. - Business — $5,000, 7 working days. Multiple services or a monorepo, 3–5 integrations, role-based access, payments, more than one environment. - Growth — $9,500, 10 working days. Multi-tenant, more than 5 integrations, a compliance requirement (HIPAA, SOC 2, PCI, GDPR), more than 2 environments, or more than 50 staff depending on it. Fix-First Sprint. The Sprint fixes the "before your next customer" items from your plan. It's quoted from the plan, so the scope is known before you pay. Your Check fee is credited against it, up to $5,000, within 90 days. - Sprint 3 — $5,000, 3 working days. Access rules, exposed keys moved off the client, secrets rotated, one Stop-severity item closed. - Sprint 5 — $8,500, 5 working days. Sprint 3 plus environment separation, backups with a tested restore, logging and alerting. - Sprint 10 — $15,000, 10 working days. Sprint 5 plus sign-in hardening, rate limiting, integration failure handling, handoff documentation. ### We checked our own site first This site was built the same way yours probably was — an AI builder, a hosted database, a founder moving fast. We ran the URL Check and the Snapshot on it before we offered them to anyone. We ran the URL Check against qbaseai.com on September 9, 2026. From outside, no database answered an unauthenticated request and no key was readable in the published app — a Note, not a Stop. That is not a clean bill of health, and we say the same thing to you: an outside look only tells you what strangers can already see. ### Questions What do you actually do in the URL Check? We load your app the way a visitor does, find the address of its database the way any browser can, and ask which tables answer someone who isn't signed in. We record names, counts and a masked shape — never the data. Is this an audit? Will I get a certificate? No. It's a point-in-time review based on what we can see and what you give us. It doesn't certify anything, and we don't use those words on purpose. Who does the work? A senior architect with thirty years in IT architecture, identity and security. AI helps collect and organize; a person reads, judges, and signs the report. Do I have to give you access to my code? No. The Snapshot your own tool writes is enough to start. If you can also give read-only access, the review is more thorough. Why is the URL Check free? Because it costs us almost nothing to run and it tells you something true. Most people who run it want the rest. You review it and you sell the fixes. Isn't that a conflict? It could be, so we handle it in the open: the fix list is written so any developer can act on it, the severity scale is defined in the engagement letter, and your Check fee is credited if you choose us — so choosing us costs nothing extra, and not choosing us costs nothing at all. ### Foundation Check terms — https://qbaseai.com/foundation-check/terms The URL Check — what we do and never do. We check only the address you submit, and only from outside, the way any visitor could. We record table names, column names, row counts, and one row per table with every value masked to its shape. We never retrieve your data, never write or change anything, and never pass a real value to any AI system. We keep the result and a log of the request (address, email, IP, time) so we can answer questions and notice misuse. Submit only addresses you own or are authorized to check. The Check — what it is and isn't. The Platform Foundation Check is a point-in-time review based on the materials and access you provide. It does not certify your system as secure, compliant, or fit for any purpose. Findings we did not observe are not findings that do not exist. The full terms are in the engagement letter you accept before payment. Contact for the Foundation Check: foundation-intake@qbaseai.com. --- ## About — https://qbaseai.com/about We build AI systems that can be trusted when no one is watching. QBase AI was not started to chase an AI trend. After nearly 30 years architecting identity, security, and cloud systems, one conviction became clear: AI is not a novelty. It is an amplifier. Amplifiers make weak systems unstable. They make disciplined systems extraordinary. Our work is about building that discipline — and proving it in real-world operation. ### The Founder's Inflection Point For three decades, our founder designed large-scale identity and cybersecurity programs — IAM platforms, governance models, cloud-native systems, and global architecture functions. Over time, a pattern became visible: identity governance, knowledge systems, and AI were not separate disciplines. They were converging. A request to design a knowledge management program became a deeper architectural question: what if knowledge systems were not documentation repositories — but structured, semantic, operational infrastructure? That exploration led into graph models, vector databases, semantic mapping, and large language models — not as experimentation, but as foundational system components. A working semantic knowledge framework was built. It was functional. It was real. And it made one thing clear: fully developing this approach would require building within an environment designed for it. That clarity became the foundation for QBase AI. ### The Integrity Constraint We do not experiment on clients. If AI systems influence operations and decision-making, they must be validated against real consequence — not slide decks. So instead of pitching theory, we built a proving ground. ### P7 Studios: Craft, Commerce, and Controlled Autonomy P7 Studios (https://p7studios.ai) began as a creative venture. It became a live operational laboratory. Launched in May 2025, it has processed 1,500+ real customer orders, operated at dozens of events across North Texas, and built a growing affiliate retail network. That's not a demo. It's proof that governed AI can run real production work — at volume, at consistent quality — before a single customer has to take it on faith. Inside P7 Studios we built: AI-assisted creative pipelines; multi-model orchestration workflows; human-in-the-loop quality controls; bespoke CRM and fulfillment systems; graduated agent autonomy levels; policy envelopes and audit trails; operational telemetry. ### Why a Lab — Not a Consultancy QBase AI is a lab. We build deliberately. We operate in real environments. We validate against consequence. We document what works. We discard what does not. Only then do we extend patterns outward. This protects partners from hype cycles and ungrounded experimentation. ### What We Build Intent-governed motion systems; operator console with domain-tuned lenses (QConsole); deterministic policy enforcement (QGovernR); bespoke delivery via relay cards (QBuildR); trust infrastructure — secrets, audit, signals, knowledge graph (QLockR / QCryptR, QSignal, QKnowR). Our work lives at the intersection of identity, governance, autonomy, trust, and real-world operations. ### The Core Belief Intent precedes action. Automation without recorded intent is just unmanaged risk. AI reallocates human capacity. But reallocation must be observable, bounded, and accountable. Ungoverned systems create risk. Disciplined systems create leverage. QBase AI exists to design the latter. ### Where We Are Now P7 Studios remains our foundational proving ground. The platform is validated. Components are tested. The AI Enablement Workshop is live. Governance is not static. It is earned, exercised, and improved — continuously. --- ## The Enablement Doctrine — https://qbaseai.com/doctrine This document is a binding operating constraint. It governs how QBase AI engages with clients, what we build, and how we measure success. ### Why This Exists The AI industry is full of promises. Speed. Scale. Transformation. Disruption. Most of these promises are made by organizations that will never bear the consequences of their failures. We work in environments where consequences are real. Where a system failure isn't a learning experience — it's a crisis. Where trust is earned over years and lost in seconds. ### Core Principles Principle 01 — Intent Before Action. Every system we build declares its intent before executing. No hidden logic. No emergent surprises. If a system cannot explain what it's about to do, it doesn't do it. Principle 02 — Human Judgment Remains Sovereign. AI systems advise, prepare, and execute within bounds. But consequential decisions — those with real-world impact — require human authorization. This is not a limitation. It's the design. Principle 03 — Auditability Is Non-Negotiable. Every action, every decision, every recommendation is traceable. Not for compliance theater, but because systems operating in consequential environments must be accountable. Principle 04 — Guardrails Are Features. Constraints are not obstacles to capability. They are the architecture of trust. Systems without guardrails are experiments. We don't experiment on production. Principle 05 — Graduation Is The Goal. Success is not ongoing engagement. Success is capability transfer. We build systems and organizations that no longer need us. Exit is explicit from day one. Principle 06 — Proof Over Promise. We demonstrate before we claim. Every architecture we propose has been tested in our own systems first. Every pattern we recommend has been battle-tested. ### The Promise "We won't take you anywhere we haven't gone first." This is not a slogan. It's a constraint. Every architecture we propose, we've built. Every pattern we recommend, we've deployed. Every failure mode we warn about, we've experienced and recovered from. Your production environment is not our laboratory. We test on ourselves first. ### What This Means in Practice Before we engage: we assess fit rigorously. Not every organization is ready for what we build. Not every problem requires our approach. We will decline engagements where we cannot deliver on this doctrine. During engagement: we transfer knowledge continuously. Our goal is to make your team capable of operating, maintaining, and evolving the systems we build together. Documentation is not an afterthought. At exit: we define exit criteria before we start. Success is measured by your independence, not our indispensability. When you no longer need us, we've done our job. ### What We Don't Do We don't experiment on client systems. We don't propose architectures we haven't built ourselves. We don't optimize for engagement length. We don't build systems that require our ongoing presence to function. We don't make promises about AI capabilities that exceed demonstrated reality. We don't treat compliance as a checkbox exercise. This doctrine is not marketing copy. It is a constraint. It may evolve, but only under the same rules we apply to everything we build: observed in reality, explicitly documented, traceable to evidence. --- ## Governance & Standards Alignment — https://qbaseai.com/governance Built on recognized governance frameworks. QBase AI designs the QGovernR control plane and the broader platform with structured alignment to established industry standards in AI governance, identity management, and security control architecture. We do not treat governance as an afterthought. It is foundational to how the platform operates. ### NIST AI Risk Management Framework (AI RMF) - Govern: defined roles, oversight structures, and accountability. - Map: motion-based classification and declared intent modeling. - Measure: risk tiers, autonomy levels, and audit visibility. - Manage: policy envelope enforcement and human-in-the-loop escalation controls. QGovernR operationalizes these principles through deterministic policy enforcement and structured governance controls. ### NIST 800-Series Principles — Identity & Access Governance Access control discipline; audit logging and evidence preservation; separation of duties; risk-based evaluation; Zero Trust principles. AI Intent-Driven IAM extends traditional identity governance by evaluating declared purpose, not only identity. ### ISO/IEC 42001 (AI Management System) Defined AI roles and responsibilities; formalized governance documentation; risk classification models; human oversight mechanisms; lifecycle visibility and accountability. ### ISO/IEC 27001 Control Model The tenant-isolated deployment model, structured policy enforcement, and audit logging capabilities are aligned to common information security management system controls. ### ISO 31000 Principles Risk tiers, escalation paths, and structured review mechanisms reflect enterprise risk management best practices. ### Transparency Statement QBase AI references established frameworks to inform system design. Unless explicitly stated, alignment does not imply certification or third-party audit. --- ## Contact — https://qbaseai.com/contact The first step is a $5,000 AI Enablement Workshop — a structured diagnostic you own outright, whether or not you buy another thing from us. This is not a sales process. It is a fit assessment. How the Workshop works: the AI Enablement Workshop evaluates your organization across its operational domains — mapping motions, policies, context models, and AI feasibility. You can invite up to five participants from your team to contribute their perspective. Each person will receive an enrollment code to access the evaluation within 24 hours. Choose people with operational knowledge across your organization. One person can complete the entire evaluation, or you can distribute it among team members. We aggregate all responses into a single organizational view. Not ready for the Workshop? Request More Information — send a few details (company, contact name, role, email, and any context) and a QBase person will follow up personally with what you need to evaluate fit. Questions about the Workshop or a bespoke requirement? Schedule a conversation with someone from our team. Reach us: Address — 1540 Keller Parkway, Suite 110 #140, Keller, TX 76248 Phone — (817) 623-5828 Email — info@qbaseai.com Foundation Check intake — foundation-intake@qbaseai.com --- ## Blog — https://qbaseai.com/blog Essays on intent-governed AI, the enablement doctrine, and the operational engineering behind production AI systems. Published posts: - The Conformity Tax — https://qbaseai.com/blog/the-conformity-tax - Utility Compute and the End of the Platform Tax — https://qbaseai.com/blog/utility-compute-and-the-end-of-the-platform-tax - The Facilitator Inversion: What Expertise Becomes When the Machine Knows Everything — https://qbaseai.com/blog/the-facilitator-inversion-what-expertise-becomes-when-the-machine-knows-everything - The Fortune Teller Problem — https://qbaseai.com/blog/the-fortune-teller-problem - AI-D IAM: From Governing Identity to Governing Intent — https://qbaseai.com/blog/aid-iam-from-governing-identity-to-governing-intent --- ## Legal Privacy Policy — https://qbaseai.com/privacy. Covers what information QBase AI collects, how it is used, Google API Services Limited Use (including the gmail.readonly scope and the commitment that Google user data is never used to train generalized AI models and never sold), service providers, storage and security, retention and deletion, your rights, children, changes, and contact at privacy@qbaseai.com. Terms of Service — https://qbaseai.com/terms. Covers accounts, what the Service does, your content, AI output, acceptable use, third-party services, software license, fees, termination, disclaimers, limitation of liability, indemnity, governing law (State of Texas, courts in Dallas County), changes, and contact at legal@qbaseai.com. The pages themselves are the binding versions; this summary is provided for readability only.