Your team's AI. Finally auditable.
Teams use structured RACE prompts across Claude, GPT, and your own local models. Save on token spend, keep sensitive work private, prove governance with every prompt logged.
Three reasons enterprise buyers actually say yes.
Every competitor shows a dashboard. We show a framework, a fallback, and a budget.
Save 40% on token spend
Budget caps per user and per team. Auto-fallback to your local Ollama when budgets hit 80 percent. Proven in my own 30-agent stack running on a Mac mini.
RACE framework built in
Every prompt is structured as Role, Action, Context, Expectation. Inherently auditable. Trainable across teams. The 150+ users on the consumer app already know how to write them.
Private tier by default
Hybrid routing sends sensitive prompts to your own Ollama stack. Never touches OpenAI or Anthropic. Your infrastructure, your data residency, your compliance story.
The live demo is already running.
Open teams.drjonesy.com in a new tab. Sign in with any email to explore the dashboard, prompt library, playground, and analytics. Mock data is wired up so you can click through the whole flow end to end.
Demo uses mock data. Real auth + AI routing land this week.
Six rooms where this is already a fire.
Pulled from competitor customer lists and my own PMO Director work. The fixes below are the ones I'd actually build.
Each one starts with stating the problem, not pre-scoping the solution. You bring the constraint or the friction. I build the workflow.
PMO Director rolling out AI across portfolios
Finance wants per-project spend. Compliance wants prompt-to-decision traceability. Leadership wants a QBR-ready AI ROI number.
Fix: Per-project cost tracking, approval workflows, audit trail tied to project IDs. Built by a PMO Director who already runs this playbook. The fixes below are real components, not slideware.
VP of Engineering with 40 uncoordinated API keys
Shadow AI is now an audit finding, not a productivity story. SOC2 assessor wants a clean story by next quarter.
Fix: Single key pool with per-team budgets, RBAC, full audit log. SSO on Business tier. On-prem Ollama option on Enterprise.
VP of Sales with 45 reps cold-outreaching off-brand
Legal flagged 3 reps. Messaging drift is measurable. Enablement can't review every one-off prompt.
Fix: Locked RACE prompt library, voice-check gates, CRM-integrated prompt firing so Salesforce or Apollo calls a reviewed version, not a ChatGPT tab.
Head of Support scaling AI-drafted responses
80 agents, 22 tickets a day each, drafting from pasted Slack prompts. One hallucinated refund policy already escalated.
Fix: Support leads edit prompts directly, engineers stay out of it after day 1. Brand-voice and policy-reference gates. Deflection rate up without CSAT hit.
General Counsel staring at EU AI Act + SEC disclosure
Nobody can answer which model, which prompt, which version, which human approved it. Marketing is publishing AI content with zero trail.
Fix: Snapshot every output with prompt + model + version + operator + timestamp. Legal-required reviewer on tagged categories. PII redaction in-path.
CMO cranking 3x more content without 3x headcount
12-person team, voice all over the place, engineering won't service one-off prompt requests any more.
Fix: Brand-locked prompt library, channel-specific templates (LinkedIn, email, blog), fast iteration in a UI built for marketers, not engineers.
Three tiers. One honest price card.
No credit-based pricing. No contact-for-quote at the low end. Published numbers up front.
Team
- Shared RACE prompt library
- Claude + GPT + Ollama routing
- Per-user cost tracking + budget caps
- Basic usage analytics
- Email support
Business
- Everything in Team
- Google Workspace + Microsoft Entra SSO
- Slack integration + approval workflows
- PII redaction in-path
- Audit log export
- Priority support
Enterprise
- Everything in Business
- SAML SSO + SCIM provisioning
- On-prem Ollama setup assistance
- Compliance pack + DPA + MSA
- Dedicated Slack channel with Dr. Jonesy
- 99.9% uptime SLA
Three things no competitor can copy cheaply.
RACE framework as the product
Competitors let you store free-form prompts. We teach structure. Role, Action, Context, Expectation. 150+ paying users on the consumer app already run this every day.
Practitioner credibility
PMO Director. U.S. Army Veteran. Anthropic Claude Champion. Microsoft Copilot Champion. 30 agents running on my own Ollama stack right now. No competitor exec has this profile.
Lead with AI. Not hype.
Every other vendor promises 10x productivity. The category is starving for an honest operator voice. That's the positioning I'm claiming, cheaply, while it's still free.
Common questions before you ask.
SOC 2 or HIPAA?
SOC 2 is in progress. Full enterprise compliance pack with on-prem Ollama guidance available on the Enterprise tier today. Happy to walk you through the current posture on a call.
Where does my data live?
Sensitive prompts route to your Ollama stack on your infrastructure. They never leave. Non-sensitive prompts use Claude, GPT, or a local fallback based on your routing rules. You define the rules.
SSO?
Google Workspace and Microsoft Entra on the Business tier. SAML + SCIM on Enterprise. No per-user SSO tax.
SLA?
Enterprise tier includes a 99.9% uptime guarantee plus a dedicated Slack channel with me directly. No account-manager buffer.
What if my team already has Claude API or OpenAI contracts?
Bring your own keys. We optimize usage and governance. You keep the contracts. No lock-in.
How do I get started?
Three on-ramps. Fastest is the free 24-hour interactive prototype. Submit one workflow, get a click-through demo in your inbox tomorrow, no call required. Or book a 20-minute scoping call, or request access using the form below.
Tell me about your team.
I'll reach out within one business day with a custom demo scheduled around your stack.