Home services are not a software problem. It’s a labor orchestration problem.

At Amenify, we operate across cleaning, handyman services, pet care, chores, and many other residential services nationwide. Over time, we realized that scaling operations wasn’t about adding more recruiters or more support staff — it was about building an intelligent system that understands supply better than any human team ever could.

So we built Atlas.

Atlas is an autonomous, agentic AI system that manages the entire lifecycle of a service professional — from sourcing and screening to onboarding, training, support, and performance optimization — with humans strategically in the loop.

This is not a chatbot. This is not a workflow automation tool. This is an operating system for decentralized labor.

The Core Problem in Home Services

Every home services company faces the same constraints:

Supply is fragmented.
Quality varies dramatically.
Recruiting is manual and expensive.
Onboarding is inconsistent.
Retention depends on constant operational attention.
Margins erode with each added layer of support staff.

Traditional marketplaces focus on matching supply and demand.

We focused on building an intelligent system that builds and optimizes the supply itself.

Atlas Architecture Overview

Atlas is designed as a multi-agent system, with distinct autonomous sub-agents operating under enterprise readiness and governance constraints with strategic human oversight.

High-Level System Layers

Market Intelligence Layer
Provider Sourcing Agent
Screening & Qualification Agent
Negotiation Agent
Onboarding & Compliance Agent
Training & QA Agent
Operational Support Agent
Performance Optimization Agent
Human Governance Layer

Each layer shares a unified memory and structured data backbone.

1. Market Intelligence Layer

Atlas continuously models the below based on Amenify’s appointment data:

Geographic demand density
Service type distribution
Appointment frequency patterns
Historical cancellation rates
Seasonal variations
Pricing elasticity

This creates a Market Graph, allowing Atlas to predict:

Where supply gaps will emerge
Which service categories need proactive recruitment
What pay ranges are optimal for fill rate and margin

Instead of reacting to shortages, Atlas recruits ahead of them proactively.

2. Autonomous Sourcing Agent

Atlas sources service professionals through:

Public marketplaces
Review platforms
Social profiles
Organic search discovery
Structured job postings

The system builds a structured provider profile by extracting:

Years of experience
Ratings and reviews
Certifications
Equipment ownership signals
Service area coverage
Pricing signals

This feeds into a Dynamic Provider Graph.

Human-in-the-loop:
Operations reviews edge cases, approves new market entries, and validates ambiguous profiles.

3. Screening & Qualification Agent

Atlas scores each potential provider using:

Reputation score (rating weighted by volume and recency)
Experience model (tenure, specialization signals)
Reliability model (review language analysis)
Market rate compatibility
Historical quality proxies

The output is a composite “Amenify Fit Score.”

Providers below the threshold are filtered automatically.
Borderline cases are escalated to human review.

This dramatically reduces manual screening time.

4. Negotiation Agent

Atlas negotiates within predefined economic boundaries set by the Amenify team:

Hourly rates
Per-service pricing
Availability windows
Territory coverage
Recurring service incentives

Negotiation logic considers:

Local demand intensity
Fill urgency
Provider experience tier
Margin floor thresholds

Human-in-the-loop constraints:

Negotiation bands are predefined by ops leadership.
Exceptions above threshold require approval.
High-value contracts are reviewed before finalization.

5. Onboarding & Compliance Agent

Once accepted, Atlas:

Generates contracts dynamically based on Amenify templates
Sets up payment workflows based on our existing payment system
Initiates background check processes via our BG check system
Collects required compliance and other documents
Ensures Pros sign up for the Amenify Service Pro App
Sanity checks for the profile bio and photo for the residents
Assigns provider tier level and test appointments

Atlas also tracks:

Onboarding completion time
Drop-off rates
Documentation gaps

Humans intervene only if:

Documentation fails verification
Risk score exceeds threshold
Background check flags are raised
Appointment issues

6. Training & Quality Assurance Agent

Quality is the real differentiator in home services.

Atlas deploys:

Checklist-based digital training modules that we have perfected over the years
Service-specific SOP reinforcement that is already deployed in our markets
Micro-learning nudges to ensure on-time completion of the training
Quality threshold quizzes to ensure good understanding of the material
Field performance feedback loops

After the initial 3 test appointments, Atlas updates:

Provider Quality Score
Resident Satisfaction Index
Checklist Compliance Score

If quality does not meet the threshold, Atlas:

Automatically retrain using the retaining modules
Sends corrective guidance prepared by the team
Flags for human review for the final review and next steps

7. Operational Support Agent

Atlas handles daily coordination with the Pros:

Appointment reminders
Coordination for ETAs
Reschedule workflows
Resident communications
Basic troubleshooting
Route optimization suggestions
Parking suggestions

Only complex escalations reach human support.

The result:
Operations teams focus on high-value interventions instead of repetitive coordination tasks.

8. Performance Optimization Agent

This is where Atlas becomes compounding.

It continuously models:

Earnings trajectory per provider
Retention risk probability
Cancellation propensity
Rebooking rates
Service time variance
Checklist adherence

Atlas can help the Amenify team with:

Job routing to reward high performers
Increase volume to retain top providers
Identify churn risk before it happens
Trigger proactive engagement

Over time, the network self-optimizes with humans in the loop.

Human-in-the-Loop Governance

Autonomy does not mean removing human judgment.

We built guardrails:

Economic negotiation boundaries
Risk thresholds
Escalation triggers
Audit logs for every decision
Override capability for operations leadership

Atlas operates within structured authority and never makes a decision outside of the defined constraints.

Humans define policy. Atlas executes at scale.

Why This Matters

With Atlas, our team can scale without getting overwhelmed.

This changes:

Cost structure
Market expansion speed
Service consistency
Provider retention
Long-term margins

More importantly, it builds a defensible data moat.

Every interaction strengthens:

Our Provider Graph
Our Market Graph
Our Quality Model
Our Pricing Model

The longer Atlas operates, the harder it becomes to replicate because of the data we collect and the collective actions on that data for continuous improvement.

The Long-Term Vision

Today: Autonomous workforce management with human oversight.

Tomorrow:

Predictive supply deployment
Dynamic pricing optimization
Real-time quality scoring
Preemptive recruiting
Fully self-balancing service markets

Atlas is Amenify’s infrastructure layer for scalable, decentralized labor.

And we believe intelligent labor orchestration will define the next decade of home services.

Meet Atlas: Building an Autonomous Workforce Engine for Home Services