AIKINSEY gives builders the primitives for enterprise-grade AI: agents, connectors, policy, deployment, telemetry, and marketplace reuse.
Build AI agents that reason, decide, and execute with built-in governance, not bolted-on compliance.
Agent SDK, Studio™, Agent Exchange™
Integrate enterprise systems through a unified connector framework for modern, legacy, cloud, and on-prem environments.
Integration SDK, connector templates, events
Write policies as code. Every AI action can be constrained by identity, data scope, model, cost, risk, and approval path.
Policy SDK, templates, test harness
Deploy agents to SaaS, sovereign cloud, edge, on-prem, or offline environments with one development model.
Deployment CLI, Edge™ runtime
Access telemetry for model performance, cost attribution, quality scores, policy decisions, audit trail, and user feedback.
Command™ API, webhooks, dashboards
Package governed agents for reuse across teams or publication through Agent Exchange™ with approval and version controls.
Agent packaging, review, lifecycle
Forward-deployed AI engineers combine AI application engineering with enterprise integration, workflow discovery, governance, evals, and customer-facing deployment.
Explore FDE AcademyAgents, RAG, tools, APIs, orchestration, testing, deployment, monitoring, and incident response.
CRM, ERP, service desk, databases, identity, permissions, document systems, and legacy integration.
Policy-as-code, audit trails, approval gates, model risk, quality evaluation, and human review loops.
Discovery, stakeholder alignment, business case, workflow mapping, adoption, launch, and reusable playbooks.
Python, TypeScript, and Java libraries for building governed agents with model routing, connectors, policy checks, and audit integration.
REST and gRPC APIs with OpenAPI specs, request and response examples, authentication, pagination, and error patterns.
Reference architectures for SaaS, sovereign cloud, hybrid, edge, air-gapped, multi-region, and high-availability deployments.
Starter agents, policy packs, connector examples, evaluation suites, and industry workflow patterns.
Enterprise AI requires more than a model API. Developers need the operating primitives that make agents safe, connected, reusable, and observable in production.
Policy checks, audit logging, and approvals are native to every agent lifecycle.
Connect SAP, Salesforce, ServiceNow, Oracle, Microsoft, databases, documents, and legacy systems.
Route across OpenAI, Anthropic, DeepSeek, Mistral, Llama, cloud models, and local models.
Measure cost, quality, latency, policy outcomes, exceptions, escalations, and adoption.
Start with the Agent SDK, architecture docs, templates, or a developer briefing.
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