Most AI projects fail not because the technology is weak, but because the foundation is shaky.
You buy AI tools but they don’t talk to each other. Data is siloed and hard for AI to access. You have no clear governance or way to measure success. You deploy an AI system and it gets stuck, slowly becoming outdated as your business changes.
This is why 65% of companies fail to realize expected value from AI projects.
We fix the foundation.
Problem: You’re drowning in AI tool options. How do you choose? What works together? What fits your budget?
Solution: We assess your needs, recommend right-sized solutions, ensure they integrate with existing systems
What You Get: Audit of current systems and data flows Assessment of specific needs and requirements Comparison of vendor options Integration feasibility analysis Licensing model recommendations Implementation timeline and budget estimates
Result: Avoid expensive mistakes. Choose tools that actually fit your infrastructure and budget.
Investment: $5,000-$15,000
Problem: You have invoice backlogs, form stacks, contract archives. Processing them manually costs thousands and takes weeks.
Solution: Deploy AI to automatically extract data from documents, classify them, and route them to the right system.
Results: 2-8x cost reduction vs. manual processing 10-30% accuracy improvement vs. legacy OCR 5-10x speed improvement Example: Finance client processing 500 documents monthly went from 40 hours/week manual to 8 hours/week with IDP. Value: $32,000/year in labor savings plus improved accuracy.
Use Cases: Invoice processing (extract vendor, amount, date, invoice number; auto-post to accounting system) Expense management (classify personal vs. business, extract amounts, route for approval) Loan applications (extract required information, verify completeness) Insurance claims (classify claim type, extract necessary information, route for processing) Contract analysis (extract key terms, flag risks, organise by type)
Implementation Process: Week 1-2: Document audit and workflow analysis Week 3-4: System configuration and training Week 5-6: Testing and accuracy tuning Week 7-8: Pilot deployment Week 9+: Full deployment and optimization
Investment: $30,000-$75,000 implementation + $500-$2,000/month for ongoing management and tuning
Problem: You have entire business processes (customer onboarding, invoice approval, HR processes) that are manual, slow, and error-prone.
Solution: Combine RPA (Robotic Process Automation) with AI to automate entire end-to-end workflows
Examples:
Invoice-to-Payment: Email arrives IDP extracts data System matches to PO Accounting system posts Payment triggers Done. Timeline: 5 minutes vs. 2 days manual.
Customer Onboarding: Form submission IDP extracts AI verifies completeness CRM updates welcome email triggers account created. Timeline: 5 minutes vs. 1 day manual.
HR Onboarding: New employee form System creates accounts Email access provisioned Payroll updated Equipment ordered Assigned to manager. Timeline: 30 minutes vs. 2 days manual.
Implementation: Week 1-2: Process mapping and automation opportunity identification Week 3-4: System design and integration planning Week 5-8: Configuration, testing, pilot Week 9+: Full deployment and optimization
Investment: $50,000-$150,000+ depending on process complexity
Problem: AI only works if it can access clean, well-organized data. Many companies’ data is scattered, poorly documented, inconsistent.
Solution: Build a clean, centralized data system that AI can reliably access
What We Do: Data audit and inventory Master data management Data cleaning and validation API architecture Governance and security framework Access controls and monitoring
Result: AI systems work better, run faster, fail less often
Investment: $20,000-$60,000 depending on data complexity
Problem: You deploy AI and then… what? Who maintains it? Who monitors it? Who optimizes it?
Solution: We manage it for you
Services Include: 24/7 system monitoring Performance optimisation Model retraining as business changes User support and troubleshooting Security and compliance updates Expansion to new use cases
Investment: $5,000-$20,000/month depending on complexity and scope
Tool Assessment: $5,000-$15,000 IDP Implementation: $30,000-$75,000 Workflow Automation: $50,000-$150,000 Data Infrastructure: $20,000-$60,000 Ongoing Management: $5,000-$20,000/month
Timeline: 12-24 weeks depending on scope
Expected Impact: 25-50% operational cost reduction, 3-5x speed improvement on automated processes, dramatically improved AI system reliability and ROI
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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