STOP DOING
THE SAME WORK TWICE.
I build AI-powered workflows that take repetitive tasks off your team's plate — things like pulling reports, sending follow-ups, moving data between tools, and coordinating tasks between your tools automatically.
So your team can focus on the work that actually needs a human.
Process Mapping
Start with the real workflow, not the hype.
Reliability
Built-in safety checks, validation, and human review where it matters.
Time Back
Measure impact in saved hours, faster output, and less busywork.
THE BEST AI AUTOMATIONS HANDLE BORING WORK CLEANLY.
Automation pays off fastest when the workflow is repetitive, predictable enough to model, and painful enough that the team already wants it gone.
Map the workflow end to end before building anything.
Identify where AI helps versus where standard automation is enough.
Add review points for high-risk or high-judgment steps.
Track the operational value after launch.
THIS SERVICE IS BUILT FOR...
Your team spends hours every week on the same repetitive tasks — copying data, formatting reports, sending follow-ups
You know there must be a faster way to handle routine work but don't know where to start with AI
You've tried tools like Zapier or Make but need something smarter that can handle judgment calls
You want to free up your team for higher-value work without hiring more people
You're concerned about AI accuracy and want a system with human review built in
WHAT THIS CAN INCLUDE
Inbox and Response Workflows
Classify, summarize, route, and draft around inbound work.
Reporting and Analysis Workflows
Automate repetitive reporting, insight extraction, and follow-up tasks.
Ops and Data Workflows
Move, enrich, and validate information between tools and systems.
HOW I BUILD AUTOMATION
Phase 01Map the Existing Workflow
Understand the human steps, tools, exceptions, and failure points.
Map the Existing Workflow
Understand the human steps, tools, exceptions, and failure points.
Phase 02Design the System
Decide where automation, AI judgment, and human review each belong.
Design the System
Decide where automation, AI judgment, and human review each belong.
Phase 03Ship and Validate
Launch the workflow, monitor the edge cases, and improve the handoffs.
Ship and Validate
Launch the workflow, monitor the edge cases, and improve the handoffs.
WHAT YOU GET
A clear map of your current process with the best opportunities for automation identified
A blueprint showing exactly what gets automated, what stays manual, and why
A plan for connecting AI to the specific tools your team already uses
Built-in quality checks so you can trust the automated output
A working automation with monitoring so you know it's running correctly
AUTOMATION THAT SAVES REAL TIME AND MONEY.
The best automation projects start with one workflow and prove their value fast. Here is what that looks like.
Internal Operations
AI-powered workflow that cut a 4-hour weekly reporting task to 10 minutes.
A recurring sales analysis workflow that required manual data pulling, formatting, and distribution was automated end-to-end. The system now runs automatically, validates its own output, and delivers formatted reports to stakeholders without human intervention.
FAQ
How long does a workflow automation project take?
Simple workflow automations go live in 3-5 business days. Standard multi-step workflows take 2-4 weeks. Complex end-to-end systems with multiple integrations require 4-6 weeks.
- •Week 1: Map the current workflow and identify automation opportunities
- •Week 2-3: Build, test, and refine the automated workflow with real data
- •Week 4: Launch with monitoring and train your team on the system
How much does workflow automation cost?
Workflow automation projects cost $3,000-$20,000 to build. Ongoing monitoring runs $1,000-$3,000 per month. The price scales with the number of systems involved and the complexity of decision logic.
- •$3,000-$6,000 for single-step automations like report generation and data routing
- •$7,000-$12,000 for multi-step workflows with AI judgment like inbox triage and lead scoring
- •$12,000-$20,000 for end-to-end systems connecting 3 or more integrations
Will this replace my staff?
No. AI automation handles repetitive tasks — data entry, report formatting, follow-ups, and routing. Your team focuses on judgment calls, client relationships, and creative problem-solving.
- •Automation handles the repetitive, rule-based parts of a workflow
- •Your team stays in control and reviews every high-stakes decision
- •Teams report higher satisfaction because tedious busywork disappears
What tools and platforms do you work with?
Any tool with an API or Zapier/Make connection is a valid automation target. 3 categories cover the common stack: business tools, data platforms, and AI models.
- •7 business tools: Slack, Google Workspace, HubSpot, Salesforce, ClickUp, Notion, and Airtable
- •4 data platforms: Snowflake, BigQuery, Google Sheets, and Excel
- •2 primary AI models: OpenAI and Anthropic Claude, with others selected per task
How technical does my team need to be?
Zero technical skills required. The automation runs in the background and delivers results through the tools your team already uses — Slack, email, CRM, dashboards.
- •Zero coding or technical knowledge required from your team
- •Clear walkthrough documentation covers how the system works and how to monitor it
- •Full technical setup, testing, and ongoing maintenance is handled for you
What kinds of workflows are the best fit for AI automation?
3 traits define a high-value automation candidate: the task repeats on a predictable schedule, it follows a consistent pattern, and the output is verifiable.
- •Recurring reporting and data formatting that follows the same steps every cycle
- •Routing workflows like inbox triage, lead scoring, and follow-up sequences with defined rules
- •Coordination tasks where data moves between 2 or more tools with manual copy-paste today
What happens if the automation breaks or something goes wrong?
Every automation includes 3 safety layers: automated alerts on failure, validation checks at each step, and human review checkpoints for high-stakes outputs.
- •Automated alerts fire within seconds when a workflow fails or produces unexpected results
- •Validation checks at each step prevent bad data from cascading downstream
- •Ongoing support packages run $1,000-$3,000 per month for teams that want hands-off maintenance
Can I see an example of what you have built?
Yes. I have automated reporting workflows, sales analysis pipelines, content production systems, and inbox management tools.
- •A weekly sales reporting workflow that went from 4 hours manual to 10 minutes automated
- •A content pipeline that produced 500+ optimized pages with AI assistance
- •A multi-step lead scoring system that routes prospects to the right team automatically
START WITH ONE WORKFLOW THAT IS WORTH FIXING.
The best automation projects start small, prove value fast, and expand from there.
