Question 1

How do you work with overseas clients in different time zones?

Accepted Answer

Most of our clients are based in the United States, United Kingdom, Europe, Australia, and the Gulf. We work primarily asynchronously: you receive short, high-resolution Loom video walkthroughs of every feature, and we collaborate inside a shared Slack or Teams channel. For critical kickoffs and milestone reviews, we schedule 30-minute video calls with dedicated overlap hours in your morning or evening.

Question 2

How long does an AI automation sprint take from start to finish?

Accepted Answer

A standard AI workflow sprint typically takes 1 to 2 weeks. During the first 48 hours, we map your current process, connect accounts in staging, and build the integration mesh. Week 2 is dedicated to testing edge cases, error retries, and recording operations runbooks. Complex multi-agent systems typically require 3 to 4 weeks.

Question 3

Do we retain 100% ownership of the code and workflow accounts?

Accepted Answer

Yes. Absolutely. Everything we build is deployed directly to your own Cloudflare, Supabase, Make, Zapier, or cloud accounts. When the sprint is complete, you receive the full Git repository, environment variables configuration guide, and all assets. There are zero ongoing platform licensing fees paid to KYVORA.

Question 4

What platforms and tools can you connect into our workflows?

Accepted Answer

We connect virtually any modern platform with an API or webhook interface: Stripe, QuickBooks, HubSpot, Salesforce, Airtable, Notion, Google Workspace, Slack, Discord, Shopify, GitHub, Supabase, PostgreSQL, and custom internal REST or GraphQL backends.

Question 5

What is the difference between an AI workflow and an autonomous AI agent?

Accepted Answer

An AI workflow is deterministic: an event happens (like a customer submitting a contract), rules extract data and update systems predictably without guessing. An autonomous AI agent is cognitive: it can make dynamic decisions, reason through multi-step goals, query private documentation using vector search (RAG), and prepare draft outputs for human approval.

Question 6

How do you protect private company data and API credentials?

Accepted Answer

We never log sensitive customer PII or raw secrets. All API keys and credentials are stored strictly in environment variables inside your own cloud hosting dashboard. For AI prompts, we configure strict enterprise data boundaries ensuring your proprietary data is never used for public model training.

Question 7

What happens if an external API changes or errors occur after launch?

Accepted Answer

Every workflow we engineer includes dead-letter queues, automated retries with exponential backoff, and instant Slack notifications if a third-party service experiences downtime. Every engagement includes a 14-day post-launch warranty with priority engineering support.

Question 8

How do you quote and bill for projects?

Accepted Answer

We quote fixed-scope, milestone-based packages rather than billable hourly rates. You approve the exact deliverables and price upfront before any work starts. Invoicing is typically split into a 50% deposit upon kickoff and 50% upon final acceptance and code handover.

Clear Answers on How We Deliver

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