RFLIN

AI + Operations Systems

Artificial intelligence for the new age of work.

For founders and operators who want production AI, cleaner execution, and a stack that does not depend on more process noise.

Replace

Manual work, routing, and repetitive handoffs

Ship

Production AI that survives real operations

Support

Advisory and iteration after launch

Less busywork. Cleaner handoffs. Faster decisions.

Selected Clients

Client 1
Client 2
Client 3
Client 4
Client 5
Client 6
Client 7

Ways to Work

Three starting points. Smaller scopes can price lower depending on complexity and how much of the stack needs to be touched.

2 weeks

$9,500

Audit Sprint

Map what’s breaking, what’s manual, and what should be automated next.

Outcomes

System map + bottleneck diagnosis

Automation plan + quick wins

Build-ready spec for implementation

8 weeks

From $35,000+

Build Engagement

Ship workflows that do real work: routing, retrieval, structured outputs, and alerts.

Outcomes

Agent + toolflow design

Integrations + dashboards

Guardrails + QA

Monthly

$3,000-$6,000/mo

Advisory Retainer

Ongoing support for decision-making, implementation reviews, and iteration.

Outcomes

Weekly operator check-ins

Roadmap + prioritization

Quality + reliability oversight

Tools

A live cross-section of the systems we can plug into, automate, or replace without adding process noise.

Slack

Microsoft Teams

Zoom

Google Meet

Gmail

Outlook

Google Workspace

Microsoft 365

Google Sheets

Excel

Google Docs

Word

Google Drive

OneDrive

Dropbox

Notion

Airtable

Trello

Asana

Monday.com

ClickUp

Jira

Linear

Basecamp

Todoist

HubSpot

Salesforce

Pipedrive

Zoho CRM

Copper

QuickBooks

Xero

FreshBooks

Stripe

Square

Shopify

WooCommerce

Typeform

DocuSign

Loom

Calendly

Intercom

Zendesk

Mailchimp

Canva

Figma

Webflow

WordPress

Squarespace

Wix

Google Analytics

Looker Studio

Amplitude

Mixpanel

Semrush

Ahrefs

Buffer

Hootsuite

LinkedIn

Meta Ads

Google Ads

Zapier

MA

Make

N8

n8n

AWS

Google Cloud

Vercel

DI

DigitalOcean

Docker

Twilio

Segment

Slack

Microsoft Teams

Zoom

Google Meet

Gmail

Outlook

Google Workspace

Microsoft 365

Google Sheets

Excel

Google Docs

Word

Google Drive

OneDrive

Dropbox

Notion

Airtable

Trello

Asana

Monday.com

ClickUp

Jira

Linear

Basecamp

Todoist

HubSpot

Salesforce

Pipedrive

Zoho CRM

Copper

QuickBooks

Xero

FreshBooks

Stripe

Square

Shopify

WooCommerce

Typeform

DocuSign

Loom

Calendly

Intercom

Zendesk

Mailchimp

Canva

Figma

Webflow

WordPress

Squarespace

Wix

Google Analytics

Looker Studio

Amplitude

Mixpanel

Semrush

Ahrefs

Buffer

Hootsuite

LinkedIn

Meta Ads

Google Ads

Zapier

MA

Make

N8

n8n

AWS

Google Cloud

Vercel

DI

DigitalOcean

Docker

Twilio

Segment

AI Models

The current model stack I support, including the ones I use most often in production work.

OpenAI

Claude

Gemini

Qwen

Hermes

DeepSeek

OpenClaw

OpenAI

Claude

Gemini

Qwen

Hermes

DeepSeek

OpenClaw

Next Step

If the outcome is clear, book the call.

Use the call for fit, scope, and timeline. If it’s a match, the next step is a written brief and a build plan.

Book A Call