SERVICES: Translating Jargon to Job-done

Best practice guidance and templates for setting up and running AI & automation CoE's: AI-automation integrated CoE's, different operating models and organizational structures- federated/ distributed, centralized, unified at corporate-level (profit/ investment centers).
Tools-technology & solutions identification, partner evaluation, selection, negotiations: Best practices & templates for AI-automation RFP/ RFI's, patented 4P's and SWOT analysis of short-listed vendors, RFI/ RFP response evaluation- SLAs, outcome-based pricing models for AI, defining & benchmarking AI outcome metrics
Patented best practices and process management frameworks, and technology solutions architecture - to strategize, design, build and manage applied AI-automation
Practices for choosing different financing models/ internal cost centers & business sponsorships: e.g. corporate strategic sponsorship, BU sponsorship, partner sponsorships (e.g. Microsoft/ Google/ AWS partnerships, IBM Garages)

Quarterly updates, application ideas, learnings: From deep tech research companies
CMO partner for differentiating AI narratives, competition research & benchmarking, AI-IA Thought Leadership as a Service, GTM
CTO as a Service: Latest AI technology and algorithms application analysis e.g. GPT-1-2-3, FinBERT, QnA on BERT, ELMo, pre-trained accelerators, data fabric design, MLPerf, data storytelling
CSO as a Service (Now that all businesses are AI businesses): Best practice guidance and templates for running enterprise AI & automation strategy offices, quantifiable journey-mapping through AISWITCHScore
AI & automation applications scenario planning: using trillemaps: 3-scenarios analysis

For service-providers: AI-automation products/ platforms/ solutions/ services/ people capabilities - Strategy planning, roadmap, competitive analysis, positioning, branding, pricing models, benchmarking, collaterals & thought leadership
AI & Automation Practice Advisory Board (AISWITCH PAB): An open forum
Story-cards and case studies curated from hands-on practitioners: NOT 50000 ft views from analysts or pure-tech/ theoretical views from academicians & researchers
Setting up appropriate AI-automation ecosystems: cutting across innovative AI-automation start-ups
Celebrating peers' and partners' successes, while learning from mistakes & failures, together: AISWITCH Rewards and recognitions of best practices and innovations