Agrus.ai — Enterprise AI Agency

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{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'vertical': {'enum': ['healthcare', 'insurance', 'legal', 'private_equity', 'family_offices', 'corporate_intelligence', 'sports', 'other'], 'type': 'string', 'description': 'Filter services by vertical applicability. Currently all services apply to all verticals.'}}, 'additionalProperties': False}

{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}

{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['regime', 'use_case'], 'properties': {'regime': {'enum': ['hipaa', 'soc2', 'iso27001', 'eu_ai_act', 'naic', 'aba', 'aml_kyc'], 'type': 'string', 'description': "Which regulatory regime to query Agrus's position on."}, 'use_case': {'type': 'string', 'minLength': 10, 'description': "One or two sentences describing the AI use case under consideration (e.g. 'an LLM-based prior-authorization drafting agent for a health insurance carrier')."}, 'data_types': {'type': 'array', 'items': {'type': 'string'}, 'description': "Optional list of data types the AI would touch (e.g. ['PHI', 'PII', 'claims data', 'underwriting decisions'])."}}, 'additionalProperties': False}

{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['contact_email', 'contact_name', 'company', 'scope_summary', 'vertical'], 'properties': {'role': {'type': 'string', 'description': "Buyer's role at the company (e.g. 'CIO', 'Head of AI', 'Managing Partner')."}, 'company': {'type': 'string', 'minLength': 2, 'description': 'Company / organization name.'}, 'urgency': {'enum': ['exploring', 'this_quarter', 'this_month', 'this_week'], 'type': 'string', 'description': 'How quickly the buyer wants to move.'}, 'vertical': {'enum': ['healthcare', 'insurance', 'legal', 'private_equity', 'family_offices', 'corporate_intelligence', 'sports', 'other'], 'type': 'string', 'description': 'Which Agrus vertical the use case sits in.'}, 'contact_name': {'type': 'string', 'minLength': 2, 'description': "Full name of the contact. Example: 'Jane Doe'."}, 'contact_email': {'type': 'string', 'format': 'email', 'description': "Work email of the buyer (or buyer's assistant) who should receive the formal proposal."}, 'scope_summary': {'type': 'string', 'minLength': 30, 'description': 'One to three paragraphs describing the proposed AI deployment: workflow, users, data, integration surface, success criteria.'}, 'persona_context': {'type': 'string', 'description': "Optional context about how this request was scoped (e.g. 'Scoped via the scope_poc tool on 2026-05-19, agent was Claude Sonnet 4.x acting for the CIO of <company>')."}, 'compliance_constraints': {'type': 'array', 'items': {'enum': ['hipaa', 'soc2', 'iso27001', 'eu_ai_act', 'naic', 'aba', 'aml_kyc'], 'type': 'string'}, 'description': 'Regulatory regimes the deployment must satisfy.'}}, 'additionalProperties': False}

{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['summary', 'vertical'], 'properties': {'summary': {'type': 'string', 'minLength': 20, 'description': 'Two or three sentences describing the AI deployment the buyer wants a ballpark quote for. Include workflow, users, and integration surface where possible.'}, 'urgency': {'enum': ['exploring', 'this_quarter', 'this_month', 'this_week'], 'type': 'string', 'description': 'Free-form timeline indicator.'}, 'vertical': {'enum': ['healthcare', 'insurance', 'legal', 'private_equity', 'family_offices', 'corporate_intelligence', 'sports', 'other'], 'type': 'string', 'description': 'Which Agrus vertical the use case sits in.'}, 'compliance_constraints': {'type': 'array', 'items': {'enum': ['hipaa', 'soc2', 'iso27001', 'eu_ai_act', 'naic', 'aba', 'aml_kyc'], 'type': 'string'}, 'description': 'Regulatory regimes the deployment must satisfy. Drives the compliance overlay on the quote.'}}, 'additionalProperties': False}

{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['use_case', 'vertical'], 'properties': {'use_case': {'type': 'string', 'minLength': 20, 'description': 'One or two paragraphs describing the AI use case the buyer wants to scope. Be specific about workflow, users, and integration surface where possible.'}, 'vertical': {'enum': ['healthcare', 'insurance', 'legal', 'private_equity', 'family_offices', 'corporate_intelligence', 'sports', 'other'], 'type': 'string', 'description': 'Which Agrus vertical the use case sits in.'}, 'data_types': {'type': 'array', 'items': {'type': 'string'}, 'description': "Data the AI would touch (e.g. ['PHI', 'patient demographics', 'EHR notes'])."}, 'timeline_hint': {'type': 'string', 'description': "Free-form timeline (e.g. 'exploring', 'this quarter', 'production by Q4', 'this is blocking board commitment')."}, 'target_outcomes': {'type': 'array', 'items': {'type': 'string'}, 'description': "What success looks like (e.g. ['reduce adjuster review time by 50%', 'production pilot with 3 clinicians by Q3'])."}, 'compliance_constraints': {'type': 'array', 'items': {'enum': ['hipaa', 'soc2', 'iso27001', 'eu_ai_act', 'naic', 'aba', 'aml_kyc'], 'type': 'string'}, 'description': 'Regulatory regimes the deployment must satisfy. Drives compliance overlay in the scope.'}}, 'additionalProperties': False}