An AI workforce built and managed for your business.
Compare Ampity's custom AI workforce engineering with Lindy and Relevance AI. Understand implementation ownership, platform fit, operating cost and acceptance checks.
Choose Ampity when you want a team to take your process from job description to an operating AI workforce. We engineer the roles, connect your systems, validate automatic actions and manage the agreed operation. Use these comparisons to decide whether that delivery responsibility is what your business needs.
Two comparisons to help you decide.
Both platforms offer substantial capabilities. These guides distinguish published features from the implementation and operating work your business still needs.
Ampity vs Lindy
With Ampity, you commission a workforce around your jobs, systems and operating rules. We handle the role design, custom engineering, validation and agreed ongoing management, so your team can delegate the responsibility rather than build and maintain the implementation itself.
Ampity vs Relevance AI
Ampity takes responsibility for turning your business process into a working AI workforce: the roles, supporting code, integrations, acceptance tests and agreed operation. You buy an implemented and managed capability, with the work and ownership defined before the build.
Evaluate the same work, with the same rules.
Ask every option to demonstrate an accepted result and explain who will keep the workflow running.
Use the same real assignment
Bring a representative normal case and difficult exceptions. Use the same permitted records, expected output and approval rules for each option. A polished demo alone is not an acceptance test.
Count the complete operating effort
Include implementation, provider charges, infrastructure, communication tools, human review, corrections and maintenance. Divide that cost by accepted work products, not messages sent or tasks attempted.
Test the recovery and exit path
Remove access, supply conflicting information and repeat a trigger. Check how work stops, who can recover it and which code, configuration, logs and data can be handed over under the agreement.
When a simpler option is enough.
A rule-based script may handle a predictable task. An existing platform may cover your workflow without custom engineering. If the process is still changing daily, establish its owner and acceptance criteria before commissioning a workforce.
When to discuss a custom build.
Bring work with difficult handoffs, customer-specific rules or connections that need engineering. We will define which responsibilities belong to your team, Ampity and the providers, including what happens after launch.
Discuss your workforce