Proof | Happy Technologies
Proof

Proof, clearly labelled.

We separate what's verifiable today from what's research-backed and what's illustrative. The honesty is the point, and the differentiator.

How we label every claim
LIVEDirect, verifiable proof you can check today.
PRODUCTShipped product capability, with context.
RESEARCHIndustry research, not our customer data.
ILLUSTRATIVEWorked scenarios, not case studies.
LIVE · DIRECT PROOF Verifiable today: safe to lead with.

Verifiable today: shipping code & platform facts.

53
MCP tools · 480+ operations
43
Happy CMDB connectors
34
ITIL 4 practices in HIVE
~660
npm downloads · last 30 days
6,800+
npm + container pulls
Apache-2.0
Open-source core
Open-source credibility
Our work ships as code, not slideware.
47
GitHub stars
30
Forks
2
Public projects (MCP · ConfigBuddy)
LIVE · FOUNDER TRACK RECORD Delivery pedigree, kept distinct from product traction.

12+ years delivering governed digital services on ServiceNow across DoD, USDA, HHS, DHS, DOL, Fortune 500, and Cleveland Clinic. This is the team's delivery record, not a production deployment of the Happy Technologies platform.

Services delivery accelerationENGAGEMENT ESTIMATE

On AI-accelerated ServiceNow engagements we target 50–75% lower cost and 3–4× faster delivery than traditional large-firm consulting. These are estimates from our delivery model, not independently audited benchmarks.

PRODUCT · EVIDENCE Shipped capability: use with product context.

What the products actually do.

HIVE: action governance pipeline

A 7-stage pipeline with trust tiers, human gates, and receipts. 34 ITIL 4 practices: 25 operational, 9 human-gated. Runtime-agnostic by design.

View the 34-practice register

HappyHive: foundation shipped

Intake assessment, coordination, data-pack loading, vertical-pack support, and provision-proof receipts. Integration and expansion in progress.

Happy Knowledge: compile-first model

Per-field citations and confidence with a governed knowledge lifecycle. Reasoning happens once at compile time, so each query is served compiled facts instead of re-reading raw documents. First-party benchmark pending.

Happy CMDB: graph & discovery

43 connectors, AI-powered discovery, and a graph-based CMDB with business-service impact, ITIL, and TBM framing. Powered by ConfigBuddy.

RESEARCH-BACKED Industry research that informs PulsePlus, not our customer outcomes.

Why the adoption layer matters.

The figures below are drawn from published industry research (Microsoft, IBM, Deloitte and similar). They explain why gamified adoption works. They are not Happy Technologies customer results.

Higher productivity

Gamified adoption is repeatedly linked to measurable productivity gains during technology rollouts.

Source: industry research

Better completion

Behavior-change mechanics improve training and onboarding completion rates versus passive rollout.

Source: industry research

Sustained engagement

Persona-based engagement sustains usage well past launch, when most adoption curves fall off.

Source: industry research
ILLUSTRATIVE · SCENARIOS Worked examples: figures are scenario estimates, not customer cases.

How a governed service plays out.

Identity & Access Management

A password-reset spike (12 resets, one office, 2 hours) is treated as a service signal, not just a ticket.

25s
Reset + audit trail
60m
Pattern found, mitigated & learned

Clinical Analytics

A patient-acuity reporting request with a 90-day CMS deadline is scoped and phased in the intake meeting.

~56
Days to core capability
~$92k
Actual vs ~$95k estimate
What a governed action emits REAL HIVEEvent SCHEMA
event_typehive.request.fulfilled
trust_tier2
human_gaterequired: false
resultcompleted
auditreceipt_id rcpt_5a90f3 · retained · immutable

Want to pressure-test the proof?

Bring your hardest questions. We'll show you what's shipped, what's claimed, and what's illustrative: line by line.

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