Aguru
Website: https://www.aguru.ai/
AI execution infrastructure for SaaS companies monetizing complex workflow outcomes.
Aguru is AI execution infrastructure for SaaS companies turning complex workflows into new revenue. The official site verifies small focused AI models inside a deterministic framework, durable execution with checkpoints, retries, automated recovery and human escalation, stakeholder management, Job of Work mapping, execution intelligence, AI traces, model benchmarking, safety certificate renewal, supplier delay recovery, order fulfilment exception handling, purchase order confirmation, AP invoice exception handling and receiving reconciliation.
Aguru references a data-driven audit with no software fees and fast completion for identifying the right Job of Work.
Aguru references usage-based fees and ISV revenue share once workflows are live.
Aguru references predictable platform fees for larger workflow scale.
What is Aguru?
Aguru is AI execution infrastructure for SaaS companies that want to turn complex manual workflows into reliable, paid AI services. The official site describes an embedded, high-trust infrastructure layer that keeps customer relationship, context, data and moat inside the SaaS platform.
What can you do with it?
Aguru maps Jobs of Work, structures durable execution, coordinates stakeholders, handles non-responses and exceptions, captures execution intelligence, benchmarks models and supports workflows such as safety certificate renewal, supplier delay recovery, fulfilment exception handling, purchase order confirmation, AP invoice exception handling and receiving reconciliation.
Pricing and affiliate notes
Aguru does not publish a public self-serve pricing table. The site references no software fees during mapping, pay when value is delivered, usage-based fees, ISV revenue share and predictable platform fees for scale. Pricing is stored as contact sales. No public affiliate commission terms were verified, so affiliate monetization is disabled.
Best fit
Aguru is best for vertical SaaS companies, enterprise product teams, operations leaders and ISV teams that want to monetize reliable AI execution inside existing products.