The Right Tool for the Right Bottleneck
We build custom micro-tools using rule-based automation, AI, or both. We choose whatever your specific workflow actually needs—not what's trending.
Rules-Based
Predictable & cost-effective
AI Automation
Adaptive & intelligent
Measurable Results
Cost savings & growth
When we use rules-based automation
- Predictable, repetitive tasks. When the same action happens every time—like copying data from a form to a spreadsheet.
- Cost-effective implementation. Simple triggers cost less to build and almost nothing to run month after month.
- Reliable outcomes. No surprises. The automation does exactly what you programmed it to do, every single time.
Example: New client signs contract → folder auto-created in Drive, Slack notification sent, task added to Asana.
When we use AI automation
- Variable inputs requiring decisions. When each situation is slightly different and needs judgment—like classifying support tickets by urgency.
- Complex patterns. When the automation needs to read context, extract meaning, or route work intelligently.
- Natural language understanding. When inputs are unstructured—emails, documents, customer messages—that need interpretation.
Example: Customer email arrives → AI reads sentiment, drafts personalized response, routes to the right team member.
How we decide which to use
We don't sell AI for the sake of AI. We look at your actual bottleneck—the specific step where work stalls, costs pile up, or people get frustrated.
If the problem is volume of identical tasks, rules-based automation is usually faster and cheaper.
If the problem is variability and judgment, AI automation handles what rules can't.
Sometimes the best custom tool uses both—rules handle the predictable parts, AI handles the exceptions.
The results
Cost Savings
Automations typically pay for themselves within weeks by eliminating hours of manual work.
Productivity Gains
Your team stops doing grunt work and focuses on strategy, relationships, and growth.
Revenue Impact
Faster response times, fewer errors, and scalable operations mean more closed deals.