Billing mismatchAlex Morgan · 3 min ago
High
Human-led AI support operations
Turn support noise into clear next steps.
SupportFlow AI helps growing teams triage requests, understand customer intent, and prepare grounded replies—without taking people out of the loop.
✓ Human approval
✓ Grounded drafts
✓ Privacy by design
Needs attention
12
↓ 18% from yesterday
Priority queue
SSO configurationSam Kim · 11 min ago
Medium
Feature questionJordan Lee · 24 min ago
Low
✦
AI signal Billing questions are trending. Suggested help-center update ready for review.
Built for the tools support teams use
◈ Helpdesk
⌁ Chat
◇ Knowledge
⬡ CRM
Initial customer profileB2B SaaS support teams
Team size10–100 employees
Core workflowHigh-context support queues
Current stagePrototype → design partners
One calm workspace
Automation that supports judgment, not replaces it.
Every suggestion is explainable, editable, and waiting for a human decision.
Intent-aware triage
Group, prioritize, and route incoming conversations using urgency, topic, customer context, and sentiment.
Refund requestHigh
Setup questionMedium
Product feedbackLow
Grounded reply drafts
Prepare context-aware responses from approved knowledge, with citations and confidence cues for faster review.
SourceRefund policy · § 2.1
Operational insight
Spot recurring friction, knowledge gaps, and emerging issues before ticket volume becomes a fire drill.
72%
Resolution healthIllustrative score↗ Improving
Interactive product concept
See a support copilot in action.
Demo mode: This experience uses fictional, browser-local sample data. No message is sent and no external AI API is called.
Inbox5
AM
Open
Alex MorganNorthstar Labs · Pro plan
How it works
A transparent path from question to resolution.
SupportFlow is designed as an orchestration layer—bringing context together while leaving source systems and human ownership intact.
- 1Connect approved sources
Helpdesk, product documentation, and customer context stay permissioned.
- 2Analyze the conversation
Identify intent, urgency, and relevant knowledge with confidence cues.
- 3Review and improve
Agents edit or approve drafts; feedback informs future workflows.
HELPDESKCustomer conversationMessage + metadata
↓
SupportFlow intelligence layerClassification · Retrieval · Drafting
Human controlled01PriorityRoute the request
02EvidenceFind approved context
03DraftPrepare a response
Planned Claude integration
A secure model layer—not an API key in the browser.
The next product milestone is a server-side Claude workflow for classification, evidence retrieval, and reply drafting. The public demo intentionally makes no model calls; production credentials will stay behind a controlled API gateway.
Current status: architecture defined, integration not yet live
01 · INPUTPermissioned support contextTicket · customer · knowledge
Sanitized request→
02 · SERVER SIDEClaude reasoning layerClassify · retrieve · draftPlanned
Evidence + draft→
03 · CONTROLHuman review gateEdit · approve · audit
90-day validation plan
From prototype to a measurable pilot.
These are operating targets—not current traction. Progress will be reported transparently as the pilot develops.
Recruit design partners
Interview support leads and onboard up to 3 B2B SaaS teams with clear data boundaries.
- Problem interviews
- Workflow mapping
- Evaluation baseline
Run assisted workflows
Test server-side Claude-assisted triage and drafting with mandatory human review.
- Secure API gateway
- Grounded responses
- Agent feedback loop
Measure usefulness
Evaluate quality and operational value before expanding automation or access.
- Target: 1,000 reviewed tickets
- Quality scoring
- Pilot case study
Design partner applications are open
For support leaders willing to shape an early product. No confidential or customer data is required to apply.
A support lead should be able to join a short weekly feedback session.
No confidential information, credentials, or customer data is needed to apply.
We will assess answer quality, review time, and failure cases before expanding access.
Responsible by design
Built around trust, review, and control.
This public prototype contains no secrets, customer data, tracking, or live model calls. A production version would use a secure server-side integration, scoped access, audit logs, and configurable retention.
Agents stay accountable for every external response.
Access can be limited by source, role, and workflow.
Suggestions, edits, and decisions can remain traceable.
Designed to support secure server-side model providers.
About SupportFlow AI
Founder-led, early-stage, and built in the open.
SupportFlow AI is an independent product in validation, founded by Olgun Ateş. The goal is to help support teams use AI without sacrificing context, accountability, or human judgment.
The current release is a browser-only prototype. The next milestone is a secure, server-side Claude workflow developed with a small group of design partners.
FOUNDER
Olgun Ateş
Building the product, recruiting design partners, and leading the first validation cycle.
- Company stage
- Prototype validation
- Initial market
- B2B SaaS support
- Location
- Türkiye
- Contact
- founder@supportflowai.co
We distinguish current capabilities from planned work and will publish pilot results only after they exist.
Founder-led, open prototype
Join the pilot →
Help support teams stay human as they scale.
SupportFlow AI is moving from a functional product concept toward its first design-partner pilot. Follow the build publicly or help shape the next milestone.