Reliable AI knowledge for service operations

Structure your knowledge, shape AI behavior, and adapt instantly—so AI executes work reliably across every team and location.

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User interface showing a chat conversation about HVAC service quotes and a business profile for Peaden Air Conditioning, Plumbing, Electrical with FAQs and documents listed.

Outcomes

Build AI that executes work, not just conversations

Knowledge Engine doesn't just store information—it shapes how AI thinks, acts, and improves so you stay hands-off but in control.

View this case study

Contact center: 60% set rate with AI

Mark

Deliver accurate answers every time

AI uses your specific business knowledge to answer correctly and on-brand, preventing broken experiences and costly mistakes.

Chat exchange showing Anita asking about financing options, followed by an AI named Maya explaining 0% interest for 18 months or low APR for 60 months with a $2,500 minimum purchase and soft credit check.
Chat exchange showing Anita asking about financing options, followed by an AI named Maya explaining 0% interest for 18 months or low APR for 60 months with a $2,500 minimum purchase and soft credit check.

Ensure reliable AI behavior

Clear guardrails ensure predictable decision-making—reducing unnecessary interruptions and handoffs that frustrate teams and leaders.

Customer support chat showing escalation rules and dialogue: Mark complains about a $6,000 unit breaking after two years, Adrian AI agent responds empathizing and offers to connect with a team member for warranty resolution.
Customer support chat showing escalation rules and dialogue: Mark complains about a $6,000 unit breaking after two years, Adrian AI agent responds empathizing and offers to connect with a team member for warranty resolution.

Save time with end-to-end AI

AI completes full workflows, not just conversations—reducing manual intervention and cleanup, freeing teams to focus on higher-value work.

Edit Calendar Command interface with Command tab selected, showing dropdowns for Sales Board Column set to Sold, Disposition type set to Appointment Set, and Assignee set to Unassigned, with Cancel and Save buttons.
Edit Calendar Command interface with Command tab selected, showing dropdowns for Sales Board Column set to Sold, Disposition type set to Appointment Set, and Assignee set to Unassigned, with Cancel and Save buttons.

Adapt quickly with real-time AI refinements

Fix AI mistakes instantly and adapt as your business evolves—without vendor dependencies or engineering delays.

FAQ editing interface showing a question about minimum service fee and a response stating the fee is $75, waived if recommended service is proceeded with.
FAQ editing interface showing a question about minimum service fee and a response stating the fee is $75, waived if recommended service is proceeded with.

I've tried a lot of AI solutions. They were very script-adherent. Hatch handles anything you throw at it.

- Reyn Rogers, Director of Strategic Growth

FEATURES

The control you need to power truly reliable AI

AI without context is just a chatbot. Give your AI the business knowledge, behavioral rules, and workflows to execute real work.

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View this case study

Sun Up Zero Down: 15% fewer no-shows

Denise Provinzano

Ensure accuracy

Structured knowledge ingestion

Structured context that ensures AI delivers accurate, consistent responses every time.

  • Business profile & FAQ management
  • Document, CSV, and website ingestion
  • Customer & CRM context integration
  • Cross-channel shared brain
Business editing interface showing fields with business name Crown Roofing & Waterproofing, category Roofing and Waterproofing Services, description about residential and commercial services, and unspecified hours.

Maintain reliability

Behavioral rules and AI decision logic controls

Define instructions, guardrails, and exception handling that determine how AI responds and makes decisions in any scenario.

  • Behavior rules, tone, and instructions
  • After-hours and exception rules
  • Guardrails for sensitive cases
  • Escalation logic and detection
AI Agent Instructions panel with sections on Scheduling Guidelines, After-Hours Booking Rules, and Final Steps, highlighting knowledge areas like Business Profile, FAQ, Service Area Lookup, HVAC transfer, and End Success.

Save time

End-to-end workflow and task completion

AI completes real work end to end—not just conversations.

  • Disposition & outcome rules
  • Multi-step data collection flows
  • Routing & escalation logic
  • Task completion triggers
Edit Command form with fields for Disposition Type set to Success, Sales Board Column set to Sold, Assignee set to Unassigned, and optional Outbound Message Instructions containing a thank you example; Cancel and Save buttons at the bottom.

Adapt quickly

Self-service editing and optimization

Update content, rules, and flows in real time to stay aligned with your business—without engineering support.

  • No-code knowledge editor
  • Real time testing & preview
  • Version control & rollback
  • AI accuracy tracking
Interface of a test call session showing a conversation between Brooke from Blue Peak Heating and Kristen McCormick discussing recessed lighting and a quote request, with options to reset the session or end the call.

How Hatch compares

AI Competitors

Self-serve editing (no dev required)
Backend-only, needs support
Document upload + auto-ingestion
Manual knowledge entry
Structured knowledge interface
Unorganized or single-input
Cross-channel (voice, SMS, email)
Siloed per channel
Integrated across all workflows
Standalone, disconnected
360° customer context
Limited context awareness

Why PE and enterprise teams trust Hatch

Clone Knowledge Engines across brands and locations

Maintain consistency while customizing details for each brand or location.

Best-practice templates you can customize

Industry-specific scripting and workflow templates you can tailor to your team.

Operational rigor that scales with your business

Clear guardrails, predictable AI behavior, and standardized processes at scale.

Rated 4.3
(76)

Join the service brands
accelerating revenue with AI

AI is redefining how service teams work. Here’s how top brands are shifting to faster, smarter, revenue-driving conversations.

Just over the last month, we booked 123 leads that we otherwise would not have answered with Hatch AI. That's real revenue on the board.

- Rich Jordan, CEO

81%
of bookable leads booked by AI
80%
decrease in abandoned call rate
High Ground Service Pros
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Case Study

We've nearly tripled our conversion rate on after-hours and overflow calls in just a matter of months.

- Reyn Rogers, Director of Strategic Growth

3x
conversion on after-hours and overflow calls
30%
of all revenue influenced by Hatch
Peaden
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Case Study

We grew over 30% last year and we didn't add any people to do all that work.

- Jason Dowdy, COO

30%
revenue growth without adding staff
74%
response rate on rehash
Pella
Play
Case Study

Our Voice AI is asking the questions that we don't, and we're closing deals from it.

- Rowdy Boling, VP of Sales & Marketing

$365K
in sales attributed to Hatch in 60 days
100X
ROI
Crown Roofing
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Case Study

We show up on Monday morning and there are 15 scheduled appointments already there.

- Trevor Calero, CEO

86%
of revenue influenced by Hatch
84%
reduction in missed calls
Skyview
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Case Study

There's inflection, there's empathy. Denise asks the right questions to get to the real problem and we didn't even prompt her to.

- Adrianne Gosselin, Director of Marketing

80%
more bookings with Voice AI
90+
appointments set per month by AI
Shafer Services
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Case Study

Our CSRs aren't chasing leads anymore. The AI does all of that so they can focus on the ones ready to buy.

- Kelly Mesaris, VP of Operations

2x
higher set rates
<1 min
speed to lead response time
LB Capital
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Case Study

Hatch has been vital in our ability to grow as a company. It's not just helped us scale, but uncovered opportunities we would have missed.

- Stephanie Bradley, Marketing Director

2x
higher set rate
$4M
in revenue in 7 months
Luxury Bath NJPA
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Case Study

Last year, out of the rehash follow-up team, we closed over $7 million worth of business.

- Matt Tyner, CMO

2.5x
higher booking rate
$7M+
closed from rehash and follow-up
Bone Dry Roofing
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Case Study

We have about $70 million in the last 12 months that has passed through Hatch.

- Bri Skiffington, Founder & CEO

$70M
in client revenue influenced by Hatch
Free Agency
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Case Study

80% reduction in manual CSR workload

67% faster resolution cycles

99% AI accuracy

Rated 4.3
(76)

Scale revenue, not headcount

Computer monitor displaying a campaigns analytics dashboard with metrics for appointments, sales, revenue attributed, campaign launches graph, and a contact funnel summary.