Early Access
HappyHive
The Autonomous IT Department
The governance layer between "we built an agent" and "we run a service." Request AI capabilities through conversation. The platform provisions agents, tracks SLAs, detects failures, heals itself, and continuously improves — governed by the same ITIL 4 framework that has run enterprise IT for 30 years.
AI Services, Not AI Projects
Organizations can build AI agents. They cannot run, govern, measure, heal, and improve them at scale. Every AI initiative is treated as a bespoke project — no catalog, no SLAs, no incident process, no change governance, no knowledge capture. The result: pilot purgatory.
Agent Frameworks
CrewAI, AutoGen, LangGraph solve orchestration. Zero governance, no SLAs, no trust models, no service lifecycle.
ITSM Platforms
ServiceNow, BMC manage human-run services. Agents are task-assistive, not autonomously governed.
Agent Runtimes
Claude Managed Agents, AWS Bedrock handle execution. Who tracks SLAs across 50 agents? Who detects silent failures?
No one has connected the operational maturity model (ITIL 4) to the execution runtime (agents). Until now.
The Governance Layer for Agent Runtimes
Agent runtimes handle execution: sandboxing, state, credentials, error recovery. HappyHive handles everything above: SLAs, progressive trust, incident management, change governance, and continuous improvement.
HappyHive — Governance Layer
SLAs • Progressive Trust • Incidents • Change Advisory • Efficacy • Knowledge • Service Catalog
Any Agent Runtime
Claude Managed Agents • AWS Bedrock • Google Vertex • Self-Hosted
HappyHive's 38 ITIL process agents run on top of your existing runtime. Your infrastructure handles execution. Our framework handles governance.
Five Non-Negotiable Capabilities
Everything HappyHive does serves one of these pillars. If a feature doesn't map here, it's out of scope.
Generative Service Lifecycle
Services are born from conversations, not engineering sprints. A user describes a need; the platform synthesizes the agent team, assigns SLAs, and activates governance through a 7-stage pipeline.
Autonomous ITSM Governance
38 process agents execute 25 ITIL 4 practices without human intervention. EventMonitor correlates failures. IncidentManager triages. ChangeAdvisory convenes a virtual CAB. KnowledgeCurator captures every resolution.
Progressive Trust Calibration
No agent starts autonomous. Every agent begins constrained (shadow mode), proves reliability through measured performance, and earns expanded autonomy. Trust is a gradient, not a switch.
Efficacy Measurement
You cannot govern what you cannot measure. Shadow mode comparison against human decisions, MTTR, resolution accuracy, cost per service, SLA compliance, and post-hoc audit — for operators and executives.
Conversational Self-Service
Users interact through natural language, not forms. DSPy-based intent classification routes requests through governance tiers to sandboxed execution. Every other surface serves operators and administrators.
Five Integrated Views
Each surface serves a distinct audience. Together, they cover the full lifecycle from request to resolution, governed end-to-end.
Command Center
Real-time operational dashboard for operators. Activity feeds, agent execution flows, KPI cards, and team views — a single pane of glass across every running service.
Service Catalog
A generative service marketplace for requesters. Browse, request, and track AI services with SLA enforcement, conversational intake, and automated agent provisioning.
HIVE Manager
33 tabs across 7 ITSM sections for administrators. Incidents, problems, changes, releases, SLAs, CMDB, security, risk, capacity — all managed by autonomous process agents.
AI Studio
Agent synthesis for builders. Synthesis wizard, team composer, workflow builder, promotion pipeline (Sandbox → Shadow → Production), DSPy dashboard, and cost tracking.
Conversational Portal
Natural language front door for end users. Describe what you need; the platform classifies intent, applies governance, and provisions agents in a sandboxed environment. No tickets required.
Executive Dashboard
C-suite visibility. Maturity gauge, cost per service, SLA compliance, human override rates, and ROI evidence — answer "is AI working?" in under 30 seconds.
Governance That Runs Itself
25 ITIL 4 practices run autonomously via process agents. 9 retain human authority over strategy and architecture. This split reflects which decisions require organizational context that AI cannot yet reliably acquire.
38 Process Agents
EventMonitor, IncidentManager, ProblemInvestigator, ChangeAdvisory, ReleaseManager, KnowledgeCurator, CMDBManager — autonomous agents that manage the platform itself.
Self-Healing Lifecycle
Event correlation → root cause analysis → remediation execution → knowledge capture. All autonomous. All within the governance framework. All auditable.
Shadow Validation
Every agent's decisions are compared against human baselines before autonomy is granted. Override rates, MTTR, resolution accuracy, and cost per service are continuously tracked.
From Manual to Autonomic
HappyHive implements a 5-level AIaaS maturity progression. This is both the product's own growth path and the model it applies to customer deployments.
Built for Every Stakeholder
Sarah
Manage AI agents the same way you manage traditional IT services — with incidents, SLAs, change records, and a CMDB.
Marcus
Focus on what agents do, not how they're run. A governed promotion pipeline from sandbox to production.
Dana
Describe what you need in plain language. Get a governed, tracked, SLA-backed response.
Alex
Fine-grained governance control. Manage trust tiers, escalation policies, and agent promotion without bottlenecks.
Ethan
One dashboard: maturity level, cost per service, SLA compliance, human override rates, and ROI.
What No One Else Provides
Progressive Trust
Agents earn autonomy through measured performance. Shadow → advisory → autonomous. Not binary on/off.
Autonomous ITIL 4
38 process agents execute 25 practices. Everyone else uses AI to assist humans following ITIL. Our agents are the execution layer.
Generative Lifecycle
Services synthesized from conversation through a governed design-review-deploy pipeline. Not templates. Not developer-coded.
Shadow Validation
Agent decisions validated against human baselines before granting autonomy. A genuinely novel governance primitive.
Why Now?
Runtimes Are Shipping
Anthropic, AWS, Google are launching agent runtimes. Enterprises can now deploy agents at scale. But deploying is not the same as governing. The governance gap is widening.
Enterprises Are Asking
"Who tracks SLA compliance across 50 agents? Who detects when agent #37 has been silently failing for 3 days?" Agent runtimes don't answer these questions. ITIL does.
The Framework Exists
ITIL 4's 34 practices provide the complete specification for self-governing AI services. The governance framework already exists. It just needs agents to execute it.
Peer-Reviewed Foundation
The Autonomic Hive paper proves that ITIL 4's 34 practices map completely to the operational requirements of multi-agent AI systems — providing the theoretical foundation for HappyHive's architecture.
Get Early Access
HappyHive is in active development with a working platform. Early partners get hands-on access, direct input, and founding pricing.
Founding Partner
- Hands-on access to the working platform
- Direct input into roadmap priorities
- Founding partner pricing locked in
- Access to research paper and updates
- Integration with your existing agent runtime
Ready for an Autonomous IT Department?
The layer between "we built an agent" and "we run a service."