A Clear, Proven Path to AI-Powered Automation
We follow a structured, transparent approach that helps mid-market and growth-oriented organizations automate faster, lower risk, and achieve measurable productivity gains.
Overview
At Step 7 Consulting, every engagement follows a refined, predictable process. Whether we’re building AI-powered automations with Zapier, n8n, Make, or completely custom apps, our approach ensures:
- Clear communication
- Low disruption to your team
- Rapid implementation
- Measurable outcomes
Here’s what it’s like to work with us.
1. Discovery & Opportunity Mapping
We begin by understanding your business, processes, and pain points. Our team identifies high-impact automation opportunities and evaluates feasibility across your tools and workflows.
Deliverables:
- Opportunity map
- Initial automation recommendations
- Estimated scope & timeline
(*) This phase can be completed during an AI Automation Assessment.
2. Workflow & System Assessment
Next, we take a deeper look at your existing software stack, data flow, and operational bottlenecks. We determine where AI agents and workflow automation with Zapier, n8n, or Make can streamline your processes and where custom integrations may be needed.
Deliverables:
- System compatibility assessment
- Process documentation
- Suggested AI/automation architecture
3. Solution Design
We design your automation architecture — from triggers and data paths to AI model usage, actions, and error handling. Our designs focus on reliability, transparency, and business continuity.
Deliverables:
- Automation blueprint
- Step-by-step workflow design
- Technical requirements
4. Build & Implementation
Our team builds your AI workflows, API integrations, automations, and custom logic. We use industry best practices to ensure your automation is scalable, maintainable, and resilient.
Deliverables:
- Deployed Zapier, n8n, or Make workflows
- Integrated AI models (OpenAI GPT, Gemini, Claude)
- Custom code or microservices (if required)
5. Testing & Quality Assurance
We validate every workflow to ensure accuracy, error handling, and reliability. Your team reviews each automation, and we refine it until it performs flawlessly in your environment.
Deliverables:
- User acceptance testing
- Error-handling routines
- Performance validation
6. Training, Launch & Ongoing Support
Once approved, we deploy your automation into production and train your team on how to use, update, and extend it. We also offer ongoing monitoring, optimization, and support based on your needs.
Deliverables:
- Team training & documentation
- Production launch
- Optional ongoing support & optimization
Project Timeline
A typical AI automation engagement follows this timeline:
- Week 1: Discovery + Assessment
- Week 2: Design + Architecture
- Weeks 3–4: Build
- Week 5: Testing + Launch
- Week 6+: Optimization + Support
(More complex workflows may require additional time.)