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.
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.
Deliver accurate answers every time
AI uses your specific business knowledge to answer correctly and on-brand, preventing broken experiences and costly mistakes.
Ensure reliable AI behavior
Clear guardrails ensure predictable decision-making—reducing unnecessary interruptions and handoffs that frustrate teams and leaders.
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.
Adapt quickly with real-time AI refinements
Fix AI mistakes instantly and adapt as your business evolves—without vendor dependencies or engineering delays.
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.
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
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
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
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
How Hatch compares
AI Competitors
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.
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
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
We grew over 30% last year and we didn't add any people to do all that work.
- Jason Dowdy, COO
Our Voice AI is asking the questions that we don't, and we're closing deals from it.
- Rowdy Boling, VP of Sales & Marketing
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
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
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
Last year, out of the rehash follow-up team, we closed over $7 million worth of business.
- Matt Tyner, CMO
We have about $70 million in the last 12 months that has passed through Hatch.
- Bri Skiffington, Founder & CEO
80% reduction in manual CSR workload
67% faster resolution cycles
99% AI accuracy
*These metrics are self-reported case study results voluntarily provided by customers. They are not intended to guarantee or promise any same or similar result.
FAQs
You load it. Knowledge Engine is the AI knowledge base behind the Hatch platform, taking your business profile and FAQs, documents, CSVs, and website content alongside customer and CRM context. The answer a customer gets by text is then the same one they'd get on the phone, because both draw from the same one source rather than two.
Yes, in detail. You set the AI's persona, its goal for each conversation, its instructions, and the exceptions it must treat differently, along with after-hours logic, guardrails for sensitive cases, and escalation rules. Those AI guardrails are yours to change the same afternoon, without filing a support ticket or waiting on a release.
It hands off instead of guessing. Every Hatch AI agent has a built-in bailout path for anything outside its knowledge base, including a customer simply asking for a person, and on calls it transfers with a spoken summary of the conversation so far. Success, bailout, and discard are the three outcomes every conversation resolves to, so nothing is left unanswered or unaccounted for.
Yes, because you edit it directly. Business profile, FAQs, documents, instructions, and rules are all self-serve, so a price change or a new service area is live the same day rather than the same quarter. AI knowledge management that needs a ticket goes stale; Hatch reports 99% AI accuracy and 67% faster resolution cycles.
Any of them. Hatch duplicates an existing AI agent with its instructions and settings intact, so you standardize the core rules once and then edit each location's pricing, services, hours, and service areas separately. You train AI on business data brand by brand, however many brands you run, without rebuilding from scratch each time.
A script tells a person what to say. An AI knowledge base tells the AI what's true and what to do next. Hatch holds your services, pricing, policies, and service areas alongside the behaviour rules, tone, and escalation logic, so every channel draws on the same source rather than its own copy of the truth.
Scale revenue,
not headcount
