Eliminate repetitive tasks and streamline workflows with AI-powered automation tailored to your business.
Getting started
We start with a discovery call to review your intake form, clarify pain points, and identify the top 3-5 processes to evaluate. We then shadow your current workflows, build process maps, and score each opportunity for automation potential before proposing a solution.
What's included
Process observation and step-by-step workflow mapping
Time and cost audit with automation feasibility scoring
Custom automation development (cron, n8n, Make, Python scripts, AI agents)
Error handling, monitoring dashboards, and alerting systems
User acceptance testing with parallel-run validation
30-day post-launch hypercare and performance optimization
How we deliver
A structured, phase-gated process. Every phase includes formal sign-off before proceeding to the next.
01
Discovery & Process Mapping
1–2 weeks
We shadow your current workflows, document every step as flowcharts, calculate time and cost baselines, and score each process for automation potential.
What we do
Kickoff call to review pain points and identify top processes
Screen-share observation of current manual workflows
Process map creation with decision gates and dependencies
Time and cost audit per process
Automation feasibility matrix with priority ranking
What you get
Visual process map diagrams
Time/cost audit report
Scored automation feasibility matrix
Discovery summary with recommendations
02
Solution Design & Architecture
1–2 weeks
We select the best tools for each automation, design the full pipeline architecture, and deliver a detailed Statement of Work.
What we do
Tool selection per process (cron, n8n/Make, Python, AI agents)
Architecture design with triggers, data flows, and error handling
AI agent scoping with decision boundaries and escalation rules
Integration mapping of all API connections and data schemas
What you get
Automation architecture diagram
Tool and platform recommendations
Integration specification
Statement of Work with milestones and pricing
03
Build & Configure
1–3 weeks
We build each automation per the design spec, configure AI agents with guardrails, and run full QA testing.
What we do
Environment setup and version control
Automation development per architecture spec
AI agent configuration with prompts and escalation logic
Error handling, logging, and notification systems
End-to-end QA testing with synthetic and real data
What you get
Working automation suite deployed on your infrastructure
Agent configuration files and decision trees
QA test report with resolved issues log
Monitoring dashboard for automation health
04
Testing, Training & Launch
1–3 weeks
Your team runs the automations with real data, we iterate on feedback, deploy to production, and train your staff.
What we do
Client user acceptance testing with real scenarios
Feedback collection and workflow refinement
Go-live deployment with rollback plan
Optional parallel run alongside manual process
Hands-on staff training session
What you get
Signed UAT acceptance document
Operational runbook and SOP
Training materials and recorded walkthrough
Go-live confirmation with rollback instructions
05
Post-Launch Support & Optimization
30 days
30 days of dedicated support, a performance review against your baseline metrics, and optimization tuning.
What we do
30-day hypercare window for bug fixes and adjustments
Performance review measuring actual savings vs. baseline
Optimization pass on AI agents and scheduling
Retainer transition for ongoing maintenance
What you get
30-day before/after performance report
Optimization summary with projected improvements
Maintenance retainer proposal
Frequently Asked Questions
Almost any repetitive, rule-based task — data entry, report generation, email workflows, invoice processing, CRM updates, file management, and customer onboarding. We start by mapping your workflows and scoring each for automation potential vs. effort.
A focused automation project typically takes 4-8 weeks end-to-end: 1-2 weeks for discovery, 1-2 weeks for design, 1-3 weeks for build, and 1-3 weeks for testing and launch. Simple single-tool automations can be much faster.
No. We build automations that are robust and self-maintaining, with monitoring dashboards and alerts built in. We train your team during the launch phase and provide a full operational runbook. For complex systems, we offer ongoing support retainers.
Most clients see ROI within the first month. Common results include 10-40 hours saved per week, 60-90% reduction in manual data entry errors, and significant cost savings. We measure actual results against your baseline during the 30-day hypercare period.
We use the right tool for each job: cron schedulers, n8n, Make, custom Python scripts, and AI agents. We choose based on your needs, existing tools, and budget. For complex requirements, we build custom integrations using APIs.
See It in Action
Real-world examples of how businesses use this service to drive results.