We design custom, governed AI systems that eliminate inconsistent outputs, reduce risk, and give your business a single reliable way to use AI without building software.
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Most teams rely on isolated prompts and ad-hoc AI usage. The result is unpredictable behavior, inconsistent quality, and growing risk. We replace that chaos with purpose-built AI systems designed specifically for your workflows, rules, and standards, so AI behaves the same way every time, for every user.
We achieve this by architecting custom, governed AI systems tailored to your exact business needs.
Below are a few anonymized examples of real systems we have designed, ranging from small focused workflows to enterprise-scale AI infrastructure.
A single department needed a reliable way to use AI for planning and reporting. We built a governed system with standardized workflows and output structures. The team gained faster turnaround times and dependable results with minimal oversight.
A professional was using AI daily but getting inconsistent results. We created a lightweight governed workflow with clear usage rules that improved output quality and reliability.
A client in a sensitive industry needed AI content to follow strict compliance standards. We designed a system that generated content, audited outputs automatically, and enforced approval rules before use, eliminating manual bottlenecks while maintaining compliance.
A solo operator needed basic consistency across a handful of frequently used AI prompts. We reviewed the workflow and delivered a structured, governed setup that clarified inputs and outputs for repeatable use.
An individual needed help structuring AI for a single use case. We reviewed requirements and delivered a lightweight governed system with clear rules. This provided immediate clarity and consistency without unnecessary complexity.
A multi-department organization needed a single governed AI system to standardize how teams across strategy, marketing, and operations used LLMs. We architected a modular AI runtime with shared rules and policy enforcement that replaced fragmented prompting with a unified internal infrastructure.
A client wanted AI to reliably handle a recurring internal task that was previously inconsistent. We built a targeted, rule-based AI system that standardized inputs and outputs for that workflow. The result was predictable performance and reduced manual correction.
A small team wanted a reusable AI workflow for a specific recurring task. We delivered a focused, rule-based AI system tailored to their workflow that produced predictable outputs every time, reducing manual effort and variability.
A client needed AI outputs to follow a consistent structure for internal documents. We designed a simple governed system that enforced formatting and content expectations automatically.
A growing company required a complex AI system to support content generation and decision review while enforcing strict governance. We delivered a multi-workflow system with role-based controls and validation layers, allowing teams to scale usage confidentially without operational risk.
An individual contributor wanted AI to produce reliable written drafts for a specific purpose. We delivered a narrowly scoped AI system that enforced tone, structure, and clarity.
A small department was using AI inconsistently across similar tasks. We designed a compact AI system with shared rules and templates that standardized outputs across the team. This improved quality and reduced rework without requiring a larger system build.
A client wanted AI to reliably support one recurring internal task. We designed a focused AI workflow that standardized how the task was handled and eliminated guesswork.
A client asked for help understanding why AI outputs varied across similar tasks. We reviewed their usage and delivered a structured set of improvements with a governed workflow to stabilize results.
A client wanted AI to assist with planning and internal documentation in a consistent way. We delivered a simple governed system that standardized outputs and reduced manual cleanup.
A small team needed guidance on how AI should be used for shared tasks. We delivered a compact AI usage framework with clear rules and examples to ensure consistency across the group.
A client needed AI to assist with a recurring analysis task without variability. We built a compact, rule-based AI workflow that produced predictable, reusable results.
An individual contributor needed a dependable AI system for a specific work function. We delivered a lightweight governed AI setup that enforced structure and output consistency for that use case. This removed guesswork and made the workflow reusable.
A small team needed basic structure around how AI was being used for daily tasks. We designed a simple governed AI workflow with clear rules, output expectations, and usage guidance. This gave the team consistent results without adding complexity or overhead.
A small department needed shared AI templates for common work. We designed a governed AI setup that ensured everyone followed the same inputs, rules, and output standards.
Most businesses rely on scattered prompts and generic AI tools they don’t control. That leads to inconsistent behavior.
We design custom AI systems built specifically for your workflows, rules, and standards, so AI behaves predictably, can be reused indefinitely, and evolves with your business.
You’re not renting intelligence. You’re gaining control.
Below are examples of custom AI systems we design, each governed, reusable, and tailored to your exact needs.
Describe the mission, target user, and platform preference. You don’t need to know how to describe the system. Just explain the problem.
We design and configure a governed AI system tailored specifically to your goal, rules, and constraints. Logic and verification layers are built specifically for you.
You receive a fully documented, ready-to-use AI system with clear instructions, examples, and guidance. Once deployed, your LLM behaves as a dedicated tool, reusable indefinitely.
Because every AI system and runtime engine is architected specifically for your unique needs, pricing is entirely customized. There is no one-size fits all approach when building governed logic, specific rules, or tailored AI workflows.
Most projects fall within a typical engagement range, often between $2,500 and $15,000, depending on scope and complexity. Smaller, narrowly scoped systems may cost less, while larger or more complex enterprise builds may exceed this range. Pricing is driven by the level of architecture, governance, and depth required, not by fixed tiers.
After reviewing your request, we will provide a clear and transparent quote tailored to the specific requirements of your project. This ensures you only pay for the exact functionality and depth you actually need. We accept a limited number of builds per month to maintain architectural quality.
Visit our PDFDUB Shop Website to purchase verified, pre-built AI systems and workflow templates. Ideal for teams who need standard capabilities immediately without custom architecture.
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