Workflow before technology
Start with the repeated work and business outcome, not a predetermined AI tool.
Founder of Croox
Aaryan Mehta is the Bengaluru-based founder of Croox. He leads the free fit conversation, investigates the evidence in the paid diagnostic and remains the named contact for scope and delivery decisions.
Open a section to explore the details.
Service businesses can accumulate tools, AI experiments and manual work without a clear baseline for whether the overall workflow improved. Croox was created to begin with the operating evidence: the real steps, visible cost, largest constraint and business metric that should move.
Start with the repeated work and business outcome, not a predetermined AI tool.
Keep supplied facts, assumptions, estimates and missing information visibly separate.
Use a small number of operating metrics that can be checked before and after a change.
Review recommendations and generated outputs before they are shared or acted upon.
See the Proof of process, review the Operational Gap Brief definition, or use the Workflow Cost Calculator. These resources expose the current method without fabricated client claims.
Email [email protected] or use the homepage scan-request form. Croox is founder-led from Bengaluru, India.
Your data remains yours. The agreement specifies deliverable rights and distinguishes them from Croox’s reusable platform, templates and technology. API or console access does not include platform source code, self-hosting rights or Croox server access unless explicitly agreed.
Before later work begins, agree permissions, data processing, storage and retention. Your workflow owner retains business decision authority and approves the agreed actions. Support coverage, exception escalation, manual fallback, export, transition, deletion and access revocation are defined for the engagement.
Start with a Free Operational Fit Scan; commission a paid diagnostic only after agreeing its terms.