Categories › Business & Finance › Business strategy, startups, product & careers
Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT
Remote server: your requests and data go to operative-intelligence.com. Claude Code: claude mcp add --transport http oi-ai-adoption https://operative-intelligence.com/ai-adoption · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
get_readiness_questions — Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it iassess_ai_readiness — Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found aestimate_ai_costs — Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal splan_ai_rollout — Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen imadoption_list_process_types — Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definitionadoption_find_patterns — Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the taskadoption_get_pattern — Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, theadoption_get_regulations — Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.