AI workflow agents
Reusable task agents for lead qualification, support triage, document review, research synthesis, and code or website audits.
AI operations software
Petaflo turns scattered business work into reliable AI workflows.
We are building a cloud-native workspace for small teams that need audits, lead research, document checks, and operational automations without stitching together scripts, spreadsheets, and inboxes by hand.
Built for work that falls between SaaS apps.
Petaflo focuses on repeatable operational tasks where teams still rely on manual copy-paste, ad hoc spreadsheets, and scattered AI chat history.
Structured evidence
Every output is tied to source material, assumptions, confidence, and follow-up steps so customers can act without losing context.
Cloud automation layer
The product roadmap includes queues, durable workflow logs, vector search, and multi-provider model routing for dependable execution.
Software product first, services where needed.
Petaflo is moving from founder-led delivery into a hosted AI operations platform. The service work validates real workflows; the product converts the repeatable parts into reusable software.
Initial users are small businesses, agencies, and solo operators that need practical AI output tied to business action: audits, outreach systems, document packages, and follow-up automation.
2026
Early-stage product build and customer discovery
3
Primary cloud paths: Azure AI, Google Vertex AI, AWS Bedrock
24h
Target turnaround for audit-style workflow runs
B2B
Small-team operations, sales, and technical workflow support
Roadmap shaped for cloud-native AI.
The current build plan keeps the product useful early while preparing the architecture for the credits we are applying for.
Workflow library and public website
Publish the company site, company-domain email, packaged offers, and repeatable workflow templates for audits, research, and follow-up operations.
Hosted workspace MVP
Build secure intake, run history, source storage, model selection, and exportable reports using managed cloud infrastructure.
AI automation engine
Add queue-based runs, retrieval, evaluation, monitoring, and cost controls across Azure OpenAI, Vertex AI/Gemini, and Amazon Bedrock.
Talk to Petaflo.
For pilots, startup program verification, cloud partner review, or customer workflow discussions, use the company-domain email below.
Company contact
admin@petaflo.com