Custom GPTs built for the way your team works.
We create tailored AI tools that help your team find answers faster, streamline routine work, and stay aligned with your privacy, policies, and business needs.
We don’t just advice.
We build custom GPTs for real work.
These aren’t off-the-shelf chatbots. We design private, purpose-built GPT tools shaped around your workflows, policies, and team needs.
From onboarding assistants, to compliance support tools, every build is designed to be practical, secure, and easy to use.
WHAT WE CAN BUILD
HR Support GPTs
Help with onboarding policy questions, employee communication, and workplace processes.
Compliance GPTs
Support intake, red-flag workflows, documentation, and internal review steps.
Legal Support GPTs
Assist with FAQs, issue spotting, and triage, with the right guardrails and disclaimers.
Training GPTs
Help your team learn how to use AI tools clearly and responsibly.
BUILT WITH SAFEGUARDS
Uses approved internal policies and materials
Clear guardrails and disclaimers
No sensitive data pulled into public tools
Audit-ready logs and usage tracking
Privacy and bias checkpoints built in
Starting at $3,500 per project
Depending on scope and complexity.
Includes scoping session, prompt design, policy integration, and build documentation.
FAQs
Questions, answered.
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Each GPT is built around approved use cases, internal policies, and your team’s actual workflows. We can incorporate access controls, usage logging, disclaimers, and other safeguards based on the platform and project requirements.
Unlike a generic public chatbot, the tool is scoped around the information it should use, the questions it should answer, and the situations that require human review.
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No. We meet your organization where it is.
We can help identify appropriate use cases, establish a responsible strategy, and manage the build process, whether you are starting from scratch or formalizing AI tools already being used by your team.
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We map the proposed use case to your internal policies, privacy requirements, and applicable legal considerations. Depending on the project, this may include privacy reviews, bias testing, usage logging, disclaimers, and human-review controls.
You also receive clear documentation explaining how the tool was designed, what safeguards were included, and how it should be used.
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The process typically includes four stages:
1. Strategy and scoping
We define the use case, intended users, goals, and source materials.2. Risk and policy alignment
We identify privacy concerns, internal requirements, usage boundaries, and appropriate safeguards.3. Build and evaluation
We configure the GPT, test its responses, and refine it against real workplace scenarios.4. Deployment and team readiness
We prepare the tool for use with appropriate controls, documentation, and training.The result is a working tool your team can use, not simply a concept or prototype.
A few common questions about custom GPTs, privacy, the build process, and what your team needs to get started.