LayerLoopProgramsSystemsIntegration
REQUEST DEMO

Turn health
signals into
AI-ready actions.

An AI operating layer that helps turn approved wearable data into structured context and permitted actions, so partners can focus on outcomes.

REQUEST DEMOSEE HOW IT WORKS
Measure
Signal
Understand
Context
Activate
Tools
THE OPPORTUNITY

Partners want to innovate.
Not rebuild AI infrastructure.

Garmin Health provides trusted wearable signals, APIs, and SDK paths. The missing layer is what turns approved data access into user context, permissioned decisions, workflow tools, human review, and auditable action.

1

Launch faster

Start from reusable AI infrastructure.

2

Increase engagement

Make signal useful in the moment.

3

Differentiate

Build the program experience, not the plumbing.

Without the operating layer

GARMIN HEALTH

Wearable signals
APIs & SDKs

01Build AI decision logic
02Build workflow automation
03Build user context and memory
04Build permissions and review
05Build nudges and follow-through
06Build audit and reporting

Repeated foundation work before partners can focus on the experience.

With the operating layer

GARMIN HEALTH

Wearable signals
APIs & SDKs

AI operating layer

Understands · Decides · Acts · Records

Partner builds

Program logic · Experience · Differentiation

Users get personal, scoped, actionable coaching inside the partner product.

Why it matters for Garmin Health

More capable partners

Richer experiences on top of Garmin Health data.

Stronger engagement

Signals can lead to repeated, useful action.

Greater device value

More value delivered through Garmin-powered programs.

Enterprise-grade trust

Permissions, review, provenance, and logs by design.

Ecosystem growth

One foundation can support many partner categories.

What the partner layer contains

One agent layer. Multiple ways to act.

Users can speak or type. The important part is what happens next: the system has context, permissions, memory, and a registry of tools it can safely call.

Voice + text seams

Natural interaction that can trigger real workflow tools.

AI-ready context

Wearable signal, plan state, consent scope, memory, and program rules packaged for the agent.

Tool registry

Starter tools plus partner-specific tools with contracts, effects, and UI outputs.

Trust layer

Permission boundaries, human review, idempotency, provenance, and audit logs.

How it works

From signal to action.

The operating layer handles the hard part: understanding the person, choosing a permitted next step, and acting through the right tools.

Step 01

Understand the user

Signals become usable context

PARTNER PROGRAMS

Built for the programs
Garmin Health already serves.

Each category has a different follow-through job. The shared layer adapts without Garmin owning every vertical experience or partner app.

FITNESS / PERFORMANCE
FITNESS / PERFORMANCE

Training plans that adapt to the day.

For coaching, endurance, gym, and performance platforms where Garmin signals show what happened, but partners need a governed AI layer to turn that signal into the next action.

Adapt
workouts / recovery / routes
Coach
voice / nutrition / notes
Example: yesterday's signals to today's coaching

A recovery-aware plan adjustment

01
Signal

Poor sleep, low HRV, high stress, and a hard session planned.

02
Layer

Checks the goal, training phase, permissions, and recent response history.

03
Tools

Drafts an easier workout, sends a coach note, and updates the plan only after confirmation.

04
Record

Logs what changed, why it changed, and whether the athlete completed it.

Why it matters

The partner product feels adaptive without rebuilding workout logic, voice coaching, context, and audit trails from scratch.

HEALTHCARE / RPM
HEALTHCARE / RPM

Care plans patients can follow between visits.

For remote monitoring, cardiac rehab, maternity care, and digital health programs where Garmin signals can show health patterns, but partners need help turning them into patient engagement, context capture, and review-ready summaries between visits.

Engage
care tasks / symptoms / check-ins
Summarize
trends / context / escalation notes
Example: remote care follow-up

A check-in that reaches the right queue

01
Signal

Resting heart rate is elevated, sleep is poor, and activity has dropped.

02
Layer

Compares the pattern with care-plan rules, user context, and escalation criteria.

03
Tools

Sends a patient check-in, updates a care task, and drafts a review note if needed.

04
Record

Captures the patient response, source signals, confidence, and follow-up status.

Why it matters

Care teams see fewer raw signals and more review-ready context for the patients who need attention.

RESEARCH / TRIALS
RESEARCH / TRIALS

Keep Garmin study data complete.

These partners already collect and organize Garmin-powered study data. The AI layer helps them act on it: remind participants, resolve sync and task gaps, capture context, route exceptions, and log what happened.

Track
sync / tasks / surveys
Follow up
reminders / exceptions / audit log
Example: protocol adherence gap

A missing task gets repaired early

01
Signal

A participant has a wearable sync gap and an unfinished daily survey.

02
Layer

Checks protocol rules, expected timing, prior response patterns, and consent scope.

03
Tools

Sends a reminder, reopens the task, offers help content, and routes exceptions if unresolved.

04
Record

Logs the gap, outreach, response, and whether the study record is complete.

Why it matters

Study teams spend less time finding gaps late and more time working from cleaner, attributable data.

EMPLOYEE HEALTH BENEFITS
EMPLOYEE HEALTH BENEFITS

Private coaching, employer-safe reporting.

Employees get useful help in the moment: sleep, stress, movement, habit repair, and benefit navigation. Wellness teams see what is working at the cohort level, without seeing individual biometrics.

Support
sleep / stress / activity habits
Report
cohorts / engagement / benefit paths
Example: private habit support

A personal nudge becomes cohort insight

01
Signal

Sleep debt and stress are rising while the employee has a movement goal.

02
Layer

Finds a low-friction next step that fits the user's preference and privacy boundaries.

03
Tools

Sends a private habit prompt, records acceptance, and updates only aggregate program trends.

04
Record

Keeps individual coaching private while reporting engagement and pathway performance by cohort.

Why it matters

Employees get useful help; wellness teams learn what works without turning the program into surveillance.

INSURANCE / PREVENTION
INSURANCE / PREVENTION

Rewards that lead to the next healthy step.

Points and biological age scores get members started. They rarely tell someone what to do next. The layer turns Garmin-powered activity, sleep, recovery, and prevention milestones into adaptive nudges, right-sized challenges, reward triggers, and drop-off signals programs can act on.

Guide
habits / scores / prevention steps
Improve
drop-offs / engagement / reward paths
Example: reward path after drop-off

A score becomes a next step

01
Signal

A member completes a milestone, then activity drops and sleep quality slips.

02
Layer

Detects the drop-off and chooses a smaller challenge that matches the member's current state.

03
Tools

Sends the challenge, creates a reward-ready event, and updates program engagement signals.

04
Record

Tracks challenge acceptance, completion, reward eligibility, and aggregate program performance.

Why it matters

Members get the next healthy step instead of just a score, and programs learn where engagement breaks down.

ADHERENCE SYSTEMS

Adherence systems
partners can reuse.

Once context and permissions are in place, partners can reuse the loops that make programs stick: timely prompts, accepted commitments, clean records, progress logic, rewards, and human review.

01

Nudge

Send the prompt when it has a reason to matter: signal, timing, and program rules line up.

02

Commit

Convert a good suggestion into something accepted: a task, plan change, mission, or checklist item.

03

Track

Keep the record clean: what was accepted, what happened, what was missing, where it came from, and what still needs action.

04

Progress

Move the user forward when the evidence supports it: streaks, milestones, plan steps, or readiness to advance.

05

Reward

Make eligible milestones usable for achievements, incentives, unlocks, or reward events.

06

Escalate

Hand off exceptions, low-confidence moments, or review-needed cases to the right human or partner system.

INTEGRATION PATTERN

Garmin signals in.
Partner product actions out.

Garmin supplies the trusted wearable signal. The partner decides what action matters in its product. The AI layer prepares that action safely.

Partner workflow architecture
CONTEXT HANDOFF

From signal to action

Garmin data becomes context, gets checked against partner rules, then turns into a draft action that can be confirmed, reviewed, saved, and logged.

SignalGarmin
RulesPartner program
ToolWorkout adjustment
StateNeeds confirmation
LogSaved with provenance
PRODUCT DESTINATION

The accepted result lands inside the partner product: coach queue, study task, nutrition log, workout adjustment, member challenge, reward event, or aggregate report.

Ownership

Garmin provides

Trusted wearable signals, API and SDK access, device ecosystem, and supported read/write paths.

Bridge

AI layer provides

Context preparation, rule checks, tool calls, confirmation state, and action logs.

Ownership

The partner provides

The product destination: coach task, study task, meal log, workout plan, challenge, reward, or report.

Check out the demo.

Enter an email to request access to the demo environment and see the AI layer working across context, tools, actions, and logs.