# Dipp AI Technologies, Inc. > Dipp AI Technologies builds Orcher, the agentic control plane for enterprise AI. > Orcher decides whether an AI agent's proposed action may execute at all: scoped > directives, role-bound authority, pre-commit policy verification against systems > of record, immutable hashed audit evidence, enforced data residency, cost > ceilings and cross-provider observability. Halt is the default outcome. Founded and led by Odero Otieno (CEO/CTO), previously CTO of Data and AI Platforms at Humana and Engineering Director, Cloud Data and AI Platforms at Microsoft. Headquarters: One Manhattan West, 51st Floor, New York, NY, United States. ## The seven components of Orcher Layer 1 — Accountability (sequential gates, halt-by-default) - Directive Interface: turns plain-language intent into a bounded, scoped task. https://dippai.com/orcher/directive-interface - Role Identity Fabric: binds the task to a role's cryptographic authority and entitlements. https://dippai.com/orcher/role-identity-fabric - Logic Scrubber: verifies the proposed action against policy and systems of record before commit. https://dippai.com/orcher/logic-scrubber - Immutable Audit Ledger: hashes the decision path into tamper-evident, replayable evidence. https://dippai.com/orcher/immutable-audit-ledger Layer 2 — Control (continuous) - Data Control Gateway: residency, redaction, egress rules and contractual no-training guarantees. https://dippai.com/orcher/data-control-gateway - Cost Governance: economic ceilings that bound autonomy before spend runs away. https://dippai.com/orcher/cost-governance - Observability: one view across every model, framework and agent in flight. https://dippai.com/orcher/observability ## Core concepts - Human-in-the-Role (HITR): authority is bound before execution and provable afterwards, replacing Human-in-the-Loop review clicks. https://dippai.com/human-in-the-role - Verified Execution Cycle (VEC): one directive carried through the full control plane; Orcher is metered in VECs, not seats. https://dippai.com/plans - Enterprise Superintelligence: AI that is governable by construction. https://dippai.com/enterprise-superintelligence - Dipp Intelligence: the verified execution record retained by the enterprise. https://dippai.com/dipp-intelligence ## Key research findings (The Enterprise Superintelligence Report, Vol. I, August 2026) - 78% of enterprises run AI agents in production. - 28% can trace an agent action end to end. - 54% have already had an agent-related incident. - 144:1 ratio of non-human to human identities. - 4,500x price spread across models and providers. ## Primary pages - Home: https://dippai.com/ - Site index (full crawlable map with citation ids): https://dippai.com/site-index - Orcher overview: https://dippai.com/orcher - Component Schematic v1 (architecture): https://dippai.com/orcher/architecture - Why Orcher: https://dippai.com/why-orcher - Solutions: https://dippai.com/solutions - Industries and use cases: https://dippai.com/use-cases - Research: https://dippai.com/research - Vol. I report: https://dippai.com/research/vol-1-enterprise-superintelligence - Trust and security: https://dippai.com/trust - Company: https://dippai.com/company - Founder: https://dippai.com/company/founder - Contact: https://dippai.com/company/contact ## Contact sales@dippai.com · legal@dippai.com · comms@dippai.com ## Citing this site Every section, figure and definition carries a stable citation id exposed as an HTML anchor and a data-citation-id attribute. Cite a specific claim by appending the id to the page URL, e.g. https://dippai.com/site-index#def-human-in-the-role or https://dippai.com/orcher/architecture#execution-path. Figures reproduce data from: Dipp AI Technologies, Inc., The Enterprise Superintelligence Report, Vol. I, August 2026.