Training Studio: Teaching Your AI How Your Company Works

Why Training Matters

Every company has unique terminology, processes, and ways of communicating. A hospital calls it a 'discharge summary'; a law firm calls it a 'closing memo'. A SaaS company measures 'MRR'; a retail chain tracks 'same-store sales'. Generic AI models do not understand these nuances, and no amount of prompting will teach them your company's exact conventions.

Corpilus Training Studio bridges this gap. It provides a structured environment where non-technical users can teach the AI how their specific company works — through examples, instructions, and corrections. No coding, no ML expertise required.

The Four Training Types

Q&A Pairs are the most direct way to teach your AI. Create a question like 'What is our refund policy?' and provide the exact answer you want Corpilus to give. Q&A pairs are matched semantically, so even if a user asks 'Can I get my money back?', the system recognizes it as the same question and delivers your approved answer.

Instructions set global behavior rules. For example: 'Always quote prices in EUR including VAT', 'When discussing project timelines, include the project manager's name', or 'Never disclose internal cost structures to users with the viewer role'. Instructions shape how the AI communicates across all interactions.

Corrections are reactive training. When the AI gives a wrong or suboptimal answer, you can mark it and provide the correct response. The AI learns from each correction, improving its accuracy over time without any manual configuration.

Context Documents provide background information that the AI should always consider. Upload your company's style guide, glossary of terms, organizational chart, or standard operating procedures. These become permanent context that enriches every response.

Organizing Training Data

Training Studio lets you organize your training data into datasets by category — Sales, Support, HR, Finance, Technical. This makes it easy to manage large training sets and allows different departments to own their domain-specific training data.

Each dataset tracks creation date, number of items, last evaluation score, and author. You can export datasets as JSON for backup or import them across Corpilus instances.

Evaluating Accuracy

Creating training data is only half the job. The other half is measuring whether it actually works. Training Studio includes a built-in evaluation system that tests your AI against your Q&A pairs using semantic similarity scoring.

The evaluation generates a score between 0.0 (completely wrong) and 1.0 (perfect match) for each pair. A heatmap visualization shows which areas of your training data are performing well and which need improvement. You can set minimum accuracy thresholds and receive alerts when scores drop below your standards.

Best Practices

Start with your support team's most common questions — the ones they answer 10+ times per week. These are the highest-ROI training items. Next, add Q&A pairs for your company's unique terminology. Then layer in instructions for tone, formatting, and role-based access rules.

Review evaluation scores weekly. If a score drops, it usually means the source documents in the Knowledge Base have changed and the training Q&A pair needs updating. Think of training data as a living system, not a one-time setup.

Who Should Use Training Studio

Training Studio is designed for domain experts, not developers. Your HR manager should create HR training data. Your sales team should define how the AI answers sales questions. Your compliance officer should set the instructions for data handling responses. The people who know the answers best are the ones who should teach the AI.

Training Studio is available on Enterprise and Dedicated plans, giving organizations the control they need to shape their AI agent's behavior precisely.