FAQ
Everything you want to know about TRAICE.
If you’re evaluating whether AI Activation belongs in your organization or whether TRAICE specifically is the right fit, this page covers the questions we hear most. If something isn’t answered here, the fastest path is a direct conversation.
About TRAICE
About TRAICE
TRAICE is an AI Activation Platform. It gives organizations complete visibility into how AI tools are being used across their workforce, who’s using them, how often, how well, and whether that use is delivering measurable value. If you’ve deployed AI and you’re not sure it’s actually working, TRAICE is built for that problem.
AI Activation is the practice of monitoring and measuring what AI tools are actually doing inside your organization, not just whether they’re installed, but whether they’re being used, how they’re being used, and what impact they’re having. It sits at the intersection of AI governance, productivity measurement, and risk management. Most organizations have purchased AI tools. AI Activation is how you find out if those tools are performing.
Deployment means the tools are live. Adoption means your people are using them effectively, in the right contexts, in ways that produce real value. Most organizations have deployed AI. Far fewer have adopted it in any meaningful sense, and without visibility into actual usage, you can’t tell the difference. That gap is exactly what TRAICE closes.
TRAICE is built for senior decision makers responsible for AI strategy, governance, and performance, primarily CIOs, CDOs, CISOs, CHROs, and COOs. It’s relevant in any organization where AI tools have been deployed and someone needs to be accountable for whether those tools are working.
The tools you’ve deployed, Microsoft Copilot, ChatGPT, don’t give you the depth of intelligence you actually need to manage AI at an organizational level. Native reporting tells you login counts and basic usage statistics. It doesn’t tell you prompt quality, task alignment, compliance exposure, or whether people are actually getting value. TRAICE sits across your AI environment and gives you the layer of intelligence the tools themselves don’t provide.
The Platform
The Platform
TRAICE currently supports Microsoft 365 Copilot (both the chat interface and in-app usage across Word, Excel, and other M365 applications) and ChatGPT. Both tools are tracked through the TRAICE HUD, a lightweight interface layer that surfaces prompt intelligence in real time.
The HUD is the user-facing component of the TRAICE platform. It sits inside the AI tool’s chat interface and surfaces prompt level activity, what’s being asked, how it’s structured, and what category of work it relates to. It’s designed to be unobtrusive for the end user while generating the intelligence your leadership team needs. The HUD currently works in the main chat interfaces for ChatGPT and Microsoft Copilot.
TRAICE measures four dimensions of AI performance across your organization.
Adoption. Who is using AI tools, at what frequency, and whether usage patterns suggest genuine adoption or surface level activity.
Consistency. Whether your people are moving from initial AI use into real, repeated practice, and whether that practice is showing up where it matters.
Value. Whether AI use is producing measurable outcomes for the business. Time saved, work accelerated, real dollars returned.
Compliance. Visibility into what’s being submitted to AI tools across your organization. Sensitive data, confidential information, and proprietary work, all in real time.
Through a real time dashboard that aggregates data across your AI environment. Leaders log in and see a live view of adoption, compliance, consistency, and value, without needing to manually compile reports or rely on tool native analytics.
Transparency is a design principle, not an afterthought. The HUD is visible to the user, it’s not a hidden tracking tool. Organizations deploying TRAICE should communicate its use to employees as part of their AI governance framework. How that communication is handled is a decision for each organization, and it’s something we walk through during the onboarding process.
Prompt intelligence is the structured data that TRAICE surfaces from AI interactions, the content, intent, and patterns within the prompts your people submit to AI tools. It’s the foundation of everything TRAICE measures. Without prompt level data, you’re only seeing surface behavior. With it, you can understand how AI is actually being used, not just whether it’s being used.
Cost Saved and Time Saved are estimates of the value generated through your AI usage. They are calculated dynamically, not fixed per interaction, so the figures reflect the qualities of the prompts you actually send.
How the calculation works.
Baseline values. Every captured interaction starts with a baseline cost and time estimate. This represents the rough value of using AI to complete the task at all, compared to doing it without AI.
Quality weighting. TRAICE then applies a weight based on three dimensions of the prompt.
Quality. The structure, specificity, and clarity of the prompt.
Relevance. How well the prompt aligns with the kind of work your role typically supports.
Compliance. Whether the prompt adheres to your organisation’s policies.
These three are averaged together to produce a weight factor that adjusts the baseline.
Result. Prompts that score higher across these three dimensions contribute proportionally more to your Cost Saved and Time Saved totals. Prompts that score lower contribute proportionally less.
What this looks like in practice.
A well-structured prompt that’s clearly relevant to your work and inside your organisation’s policies contributes its full estimated value. A less structured prompt, or one outside your typical role context, contributes a smaller share. The figures you see reflect the cumulative result of how you’ve been working with AI over the period.
What about users with no activity? If you have zero interactions during a period, your Cost Saved and Time Saved will both be zero. The metrics measure what’s been captured, not what could have been.
How does this affect my Value Score? Your Value Score combines Cost Saved and Time Saved into a single number. Because both are influenced by Quality, Relevance, and Compliance, your Value Score moves with those underlying dimensions. Improving any of the three increases your Value Score over time.
Implementation
Implementation
Deployment is designed to be fast. Because TRAICE works through a browser based HUD rather than requiring deep system integration, the technical lift is relatively low. Exact timelines depend on your organization’s size and IT environment, this is something we walk through specifically during the initial conversation.
Minimal. TRAICE is designed not to create a heavy technical burden on internal IT resources. There’s no complex infrastructure change required. The specifics depend on your environment, and we cover this during the evaluation process.
TRAICE surfaces prompt activity through the HUD layer, it does not require access to your internal databases, file systems, or backend infrastructure. The data it collects is activity data from within the AI tools it monitors. Security and data handling specifics are available on request.
Data privacy and compliance requirements vary significantly across industries and regions. TRAICE is built with governance as a core consideration. Specific compliance questions, HIPAA, GDPR, and others relevant to your sector are addressed directly during the evaluation and onboarding process.
TRAICE is priced based on your specific deployment scope. We don’t publish a standard rate card because the right configuration varies by organization size, the tools you’ve deployed, and what you need to measure. The fastest way to get accurate information is a direct conversation.
For Channel Partners
For Channel Partners
Yes, and this is one of the most direct use cases for the platform. If you’re an AI training firm or implementation consultant, TRAICE gives you before and after visibility into how your clients’ employees are using AI, prompt quality, adoption rates, task alignment. That data becomes the proof of your program’s impact, delivered in a format your clients’ leadership can actually read.
We work with AI training firms and implementation consultants as channel partners. The specifics of the partner arrangement including how TRAICE is positioned within your client engagements are discussed directly. If you’re working with organizations that have deployed AI and need to demonstrate results, we should talk.