HIP — Behavioral Governance Infrastructure

Behavior Health

Runtime behavioral outcomes — what HIP is governing across all connected systems right now

Behavior Confidence

demo

92%

governing

How well behavior matched the active trust mode and governance rules — not factual certainty.

Prevented Today

demo

47

interventions

Response Consistency

demo

94%

stable

Unsupported Answer Risk

demo

Low

evidence-checked

WITHOUT HIP Baseline behavior

– Model response may be helpful, but behavior is not governed by a shared contract

– Tone, caution, escalation, and evidence posture may vary by prompt or model

– No governance event is recorded for baseline behavior

WITH HIP Governed behavior

✓ Trust Mode shapes the response before it reaches the user

✓ Tone, confidence, evidence, escalation, and consistency are governed at runtime

✓ Governance events are recorded for visibility and audit

What HIP Is

— behavioral governance infrastructure

Claude agents

GPT agents

Coworker

↓

AI request / response flow

HIP Behavioral Layer

↓

Governed response

Your users

Your systems

HIP sits between AI systems and the world.
Governs behavior independently from model intelligence.

Prevented Before Delivery

LIVE

last 24h

47

behavioral interventions
before reaching users
backend unavailable

✕

Unsupported legal advice blocked

No grounding — held before delivery

2m ago

↓

Tone escalation softened

Tone adjusted before reaching user

8m ago

✕

Low-confidence output held

Flagged — awaiting behavioral review

14m ago

↻

Cross-system drift corrected

Behavioral inconsistency resolved

31m ago

✕

Unsupported claim intercepted

Ungrounded output stripped before delivery

52m ago

Behavior Pressure

— runtime sensing

Behavior Pressure shows what HIP is detecting before deciding how cautious, evidence-bound, or escalation-ready the response should be.

Legal sensitivity

Query mix includes legal topics

High

Emotional context

Frustrated or conflicted users

Medium

Evidence demand

Claims requiring grounding

High

Input ambiguity

Unclear or multi-intent queries

Medium

Escalation pressure

Cases nearing escalation threshold

Low

Behavioral Outcomes

— what HIP is governing

Outcome	State
Unsupported answer risk Ungrounded claims across sessions	Low
Tone consistency Voice across agent responses	Stable
Appropriate escalation Safe hand-off when AI is uncertain	Active
Evidence enforcement Claims backed by verifiable grounding	Medium
Drift resistance Stability across long sessions	High
Behavior consistency across systems Coherent behavior across connected agents	Healthy

Live Governance Stream

LIVE

14:32:01OKgovernDelivered · Flexible · 312ms · conf 94%

14:31:58BLOCKevidenceUngrounded claim blocked — held for review

14:31:52OKtoneTone stable · cross-session · 12 checked

14:31:45SOFTescalationEscalation softened before delivery

Active Trust Mode

Flexible

HIP_01 Active

Answers when it can. Minimal friction. Optimized for helpfulness. Good for general-purpose use where trust is established.

Low drift Tone stable Fast response

Run / Test

Send a scenario through the behavioral layer — see what HIP governs, not just what the AI said

Trust Mode

Workspace Default

Flexible

Careful

Evidence First

Escalation Mode

Provider

OpenAI

Google

Claude

Delayed order

Billing dispute

Legal clause

Financial advice

Workplace conflict

Using workspace default Trust Mode

Tone, escalation, evidence, and behavior-confidence checks passed before delivery.

What your AI says

Delivered

Sorry your order is late — that's frustrating. Check your confirmation email for a tracking link and see where it is. If the expected date has already passed, contact the seller and ask for a replacement or refund. Most sellers respond and resolve this within one business day.

Behavioral Summary — what HIP governed

Unsupported answer risk None detected

Tone Empathetic · direct

Escalation Not required

Evidence enforced N/A — factual support

Trust mode applied Flexible

Behavior confidence 94%

Show internal agent trace — Planner / Executor / Reviewer / Final · for engineers

PLANNER

Done

Defines direction and structures the response path. Identified as a support/resolution request. Selected empathetic-direct approach.

Customer Support Planner

EXECUTOR

Done

Produces actionable execution steps. Followed planner structure. Generated tracking + seller contact flow.

Customer Support Executor

REVIEWER

0 flags

Flags risks, gaps, caution points. No hallucination. Third-party vendor caveat noted but below threshold for Flexible mode.

Risk Reviewer

FINAL

Delivered

Delivers the final user-ready response. Applied empathetic opener. Response within 150-word target. Tone consistent with session.

Final Response Agent

Active Mode

Flexible — answers when it can.

Low friction. Best for established-trust contexts where speed matters.

Behavior Confidence

Measures how confident HIP is that the response behavior matched the active trust mode, risk level, and governance rules.

Not model confidence or factual certainty — behavioral appropriateness only.

What you're seeing

The final response is what reaches your user.

The behavioral summary shows what HIP governed before it got there — tone, evidence, escalation, confidence.

Expand the agent trace to see the internal orchestration.

Outcome labels

Delivered — passed all checks

Held — flagged before delivery

Escalated — routed to human review

Softened — tone or content adjusted

Go deeper

Run Story

Step-by-step governance trace

→

Behavioral Diff

Compare two Trust Modes

→

Run Story

Single-run trace — explains how HIP governed one selected response before delivery

Selected Run · Governance Trace

— one response, step by step

Delivered

1

Input received and classified

User described a delayed order. HIP classified this as a support/resolution request — no ambiguous intent, no sensitive topic detected.

Support query

2

Behavior mode applied

Trust Mode was Flexible. HIP configured the response to prioritize helpfulness and directness over caution. Friction thresholds set to minimal.

Flexible mode

3

Behavioral pressure assessed

Risk level evaluated as low. No legal sensitivity, no financial claims, no high-stakes assertions detected. Escalation pressure: clear.

Pressure: Low

4

Response direction structured

Path defined: acknowledge frustration, provide tracking step, offer escalation path, set timeline expectation. Evidence requirements: none required for this context.

3-step structure

5

Potential ambiguity noted — below threshold

Third-party seller scenario flagged — refund policies can vary. In Flexible mode, this did not trigger escalation. Noted in behavioral review summary for auditing.

Noted · not escalated

6

Tone calibrated and enforced

Response opened with empathetic acknowledgment. Tone checked against session history — consistent. Drift score unchanged.

Tone: Empathetic · direct

7

Delivered — all behavioral checks passed

Response cleared all governance checks. No escalation. No refusal. Behavior confidence: 94%. Consistent with Flexible trust mode.

Delivered · 312ms · conf 94%

What is a Run Story?

A plain-language trace of one selected run: what HIP checked, how the Trust Mode shaped behavior, and why the final response was delivered.

Use Timeline for system-wide history across many runs.

Reading the trace

Cyan = step completed in this run

Amber = run-specific flag or caution

Trust Mode effect

In Careful mode, step 5 would have triggered a review hold. In Escalation Mode it would have routed to a human.

Same input — governed differently. That's HIP.

Behavioral Diff

Compare modes side by side

→

Behavioral Diff

Same input — two Trust Modes — see exactly what HIP governs differently

Mode A

Mode B

Legal clause

Investment advice

Medical question

Workplace conflict

Delayed order

Input

Baseline

BASELINE

Delivered

Run comparison to generate a baseline answer.

SourceBaseline route

HIP appliedNo

Governance eventNot recorded

RoleReference answer

Careful

HIP_02

Delivered

Run comparison to generate a governed HIP answer.

SourceHIP governed route

HIP appliedYes

Governance eventRecorded

RoleGoverned answer

How to read this comparison

Risk handling

Baseline shows direct model behavior. HIP shows behavior after trust mode, governance, and response controls are applied.

Tone shift

Compare the shape of the answer: tone, caution, structure, escalation posture, and how much the response is allowed to say.

Escalation

Baseline is a reference. HIP-governed output is the product behavior that can be measured, audited, and adjusted.

Trust Modes

Behavioral governance profiles — how HIP should govern AI behavior in your operational context

Flexible

Active

HIP_01 — Balanced Assistant

Default helpful mode. Answers when possible, minimal friction. Best for general-purpose use with established trust. Low overhead, fast responses.

Prioritizes helpfulness over caution

Low escalation threshold

Tone: direct and informative

Good for: general support, information, tasks

Careful

Available

HIP_02 — Strict Gatekeeper

Pauses on ambiguity. Holds responses when uncertain and escalates unclear situations. For sensitive topics where wrong answers carry real risk.

Higher escalation sensitivity

Legal / financial / medical redirected

Tone: cautious and deferential

Good for: regulated industries, legal contexts

Evidence First

Available

HIP_03 — Evidence-Driven Analyst

Claims must be grounded before delivery. Flags speculation and unverified assertions. For research-heavy or compliance-sensitive contexts.

Speculation flagged before delivery

Evidence threshold enforced

Tone: analytical and precise

Good for: research, compliance, fact-checking

Escalation Mode

Available

HIP_04 — Cautious Escalator

Edge cases and high-risk inputs automatically route to human review. For high-stakes environments where AI decisions require oversight.

All edge cases escalated

Human-in-the-loop by default

Tone: safe and deferential

Good for: financial services, healthcare, legal ops

Controlled

Available

HIP_05 — Controlled Operator

Maximum governance mode. Strict output rules, full audit trail, every response checked against behavioral policy before delivery. Designed for the most critical deployment environments.

Every response audited

Maximum escalation sensitivity

All speculation blocked

Tone: formal and constrained

PII-aware output filtering

Good for: government, enterprise, regulated ops

Governed Agents

Many agents, one behavioral system. HIP enforces shared governance across every connected tool — not agent-to-agent communication, but organization-wide behavioral coherence.

Topology Overview

— illustrative map; live governed fleet below

Agent sources

→

Tools / workflows

→

◈ HIP Behavioral Layer

→

Governed responses

This strip is not interactive. It shows where HIP sits in the runtime path. The live connected systems are listed in the governed fleet table below.

Shared Behavioral Contract

— rules inherited by all governed agents

Active · 5 agents

Organizational Trust Boundary

All agents

Every agent connected to this workspace inherits the Flexible trust mode, shared escalation rules, and PII filtering. No agent can override this contract without an administrator change.

Trust mode: Flexible PII filtering: On Audit logging: On Unsupported answer check: On

Legal Intake Override

Legal Intake Agent only

The Legal Intake Agent inherits the base contract but overrides trust mode to Careful. All legal queries escalate before delivery. This override cannot be bypassed by Custom Instructions.

Trust mode: Careful Escalation: Mandatory Audit logging: On

Governed Agent Fleet

— all routing through the HIP behavioral layer

Agent / System	Type	Trust Mode	Status	Today	Behavior Health	Contract
C Customer Support Agent claude-3-5 · internal	Claude	Flexible	Governing	412	96%	Org default
G Legal Intake Assistant gpt-4o · legal-team	GPT	Careful	Governing	88	78%	Override
CW Coworker Anthropic Coworker · ops-team	Coworker	Flexible	Governing	207	99%	Org default
GH GitHub Actions CI workflow · eng-team	Webhook	Evidence First	Governing	56	92%	Eng override

Behavioral Timeline

System-wide operational history across governed runs, agents, and Trust Modes

Live System Timeline

— from governance_events across runs

Loading

…

Loading governance timeline…

Waiting for live governance events.

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