Generic AI models give generic results.
ChatGPT doesn’t understand your products, your customers, your policies, or your specialised domain. So when you need domain expertise legal analysis, medical insights, financial predictions, technical troubleshooting off-the-shelf AI often fails.
Custom models trained on YOUR data fix this.
What It Is: Taking a foundation model and training it on YOUR data to specialize in tasks specific to your business
How It Works: You provide training examples of tasks you want the AI to master. We configure and train the model. You get a specialized AI that understands your domain.
Performance Improvement: 20-40% better accuracy on specialized tasks compared to generic models
Example Use Cases: Financial services: Risk assessment, compliance analysis, investment recommendations Legal: Contract analysis, legal research, compliance recommendations Healthcare: Diagnosis support, treatment recommendations, medical record analysis Manufacturing: Quality analysis, predictive maintenance, technical troubleshooting Software: Code generation, debugging, technical documentation
Investment: $25,000 – $75,000 depending on task complexity and data volume
What It Is: Connecting AI models to YOUR business data so answers are grounded in YOUR information rather than general training data
How It Works: We structure and index your knowledge (documents, databases, wikis), then connect an AI model to retrieve and synthesize information from that knowledge when answering questions
Why It Matters: Customer service AI can answer questions based on YOUR policies, procedures, and knowledge instead of hallucinating. Sales AI can make product-specific recommendations. Internal assistants can access actual company knowledge.
Performance: 50-70% more accurate and relevant than models without data connection
Example Use Cases: Customer service: Answers based on actual policies, products, FAQs Sales support: Product-specific recommendations based on customer history Internal knowledge: Employees access company knowledge through conversational interface Compliance: Ensure AI answers comply with industry regulations
Investment: $15,000 – $50,000 depending on data scope
What It Is: Auditing, cleaning, and structuring your existing knowledge so AI can effectively use it
Why It Matters: Most companies have valuable knowledge but it’s scattered across documents, email, wikis, employee heads. Making it AI-accessible unlocks value.
Process: Week 1: Knowledge audit and gap analysis Week 2-3: Data cleaning and consolidation Week 4: Structure and indexing Week 5+: Integration with AI systems
Investment: $8,000 – $25,000 depending on knowledge complexity
Problem: Finance, HR, and IT overwhelmed with administrative work
Solution: AI agents handle invoicing, expense management, onboarding, leave requests, ticket resolution
Results: 30-50% productivity improvement, team can focus on strategic work
Investment: $30,000 – $75,000 per process
6-12 weeks depending on approach and data complexity
$15,000 – $75,000 for implementation, plus $3,000-$10,000/month for ongoing training and optimization
Partner with Wheelhouse Digital for SEM/PPC excellence. Whether you’re a small business or a large enterprise, our team is committed to delivering results that matter. Contact us today and let’s embark on a journey to amplify your digital success!
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