Clarity Before Complexity. Strategy Before Technology.
Leaders don’t need more AI theory—they need clear, concrete direction.
The AI Automation Assessment from Step 7 Consulting is a fixed-scope / fixed-price engagement that encompasses the first three steps — collectively “Phase 1” — of our 6-step process. It’s a focused, high-value engagement that delivers tangible outcomes:
- Executive-ready summary
- Prioritized list of AI and automation opportunities
- Visual workflow diagrams (current state and future state)
- Practical AI & Automation roadmap aligned to your business goals
This is not an open-ended consulting exercise. Engagements typically run from a few days to several weeks, depending on company size and complexity, and are structured to provide clarity and confidence before committing to build.
The outcome is a clear path to achieving meaningful efficiency gains, reduced manual effort, and scalable operations—without wasted investment or false starts.
Who This Is For
- Organizations with manual or fragmented workflows
- Leadership teams exploring AI but lacking a clear roadmap
- Businesses seeking efficiency, scalability, and better decision-making
- Companies preparing for automation, modernization, or growth
What Happens During the AI Automation Assessment
Our approach follows the same structured, outcome-driven methodology that defines how Step 7 delivers results.
Discovery & System Review
- Executive and stakeholder interviews
- Alignment on business objectives, constraints, and success metrics
- Identification of operational pain points and inefficiencies
- Review of existing systems, integrations, and tools
- Identification of manual, repetitive, and high-friction processes
- Document existing workflows
- Define Pros / Cons
Analysis & Opportunity Mapping
- Assessment of data availability and AI readiness
- Evaluation of decision points suitable for AI augmentation
- Map High-impact opportunities for AI-powered workflow automation
- Use cases such as:
- Intelligent document and data processing
- AI-assisted decision-making
- End-to-end workflow orchestration
- System-to-system automation
- Use cases such as:
- Prioritization based on impact, feasibility, and complexity
- Initial recommendations & client review
Architecture & Budgeting
- Identification of automation touchpoints and human-in-the-loop controls
- API validation & technical requirements
- Visual architecture diagrams illustrating AI-enabled workflows
- Phase 2 (i.e. Build & Implementation) budget preparation
- Client review / presentation
What You Get
At the conclusion of the AI Automation Assessment, you receive a clear, executive-ready view of how AI can improve your operations.
Deliverables
- Executive Summary & Presentation
- Prioritized AI & Automation Opportunity List
- Visual Workflow Diagrams (current state and future state)
- AI & Automation Roadmap aligned to business goals
- Implementation Considerations covering architecture, data, and governance
Outcomes
- Confidence in where AI delivers real value
- Reduced risk and uncertainty around AI initiatives
- Alignment between business and IT
- A practical path from manual processes to intelligent automation
Engagement Timeline
- Typical duration: a few days to several weeks
- Timeline depends on company size, process complexity, and systems involved
- Designed to be efficient and minimally disruptive
Engagement Level & Investment
The AI Automation Assessment is designed as a focused, high-value engagement rather than an open-ended consulting exercise. We view the assessment as the first step in a larger automation initiative — providing clarity before committing to build & implementation.
- Structured as a fixed-scope assessment tailored to your organization
- Scaled based on company size, number of workflows, and system complexity
- Typically positioned as a low-risk, high-impact investment compared to full implementation
From Assessment to Implementation
The AI Automation Assessment is designed to seamlessly transition into execution.
Step 7 can support you through:
- Automation & AI Implementation
- Software Architecture & System Integration
- Custom Application & Full-Stack Development
- Ongoing Optimization and Scaling
The result: a clear path from assessment → build → scale, with one trusted partner from strategy through delivery.
Why Choose Step 7 Consulting
We don’t sell tools. We design and build solutions that work — starting with a structured assessment that produces an accurate Phase 2 budget before any development begins. No guesswork, no surprise change orders.
Frequently Asked Questions
How is the AI Automation Assessment different from a typical consulting engagement?
The AI Automation Assessment is highly focused and outcome-driven. Rather than broad strategy discussions, it delivers concrete automation opportunities, visual workflow designs, and a clear implementation roadmap.
Will you recommend specific tools or platforms?
Yes. However, our recommendations are technology-agnostic and based on what best fits your business, data, and architecture. We focus on designing solutions that are scalable, maintainable, and aligned with your long-term IT strategy.
Does Step 7 also implement the solutions?
Yes. The AI Automation Assessment is designed to transition seamlessly into Phase 2 — build & implementation. Step 7 can design, build, and integrate AI-powered workflows using our software architecture, AI automation, and full-stack development expertise.
What if we’re not ready to implement immediately?
That’s common. The assessment is a planning and prioritization tool, allowing you to move forward when timing and budget align—with clarity and confidence.
How long does the assessment take?
Most AI Automation Assessment engagements last from a few days to several weeks, depending on organizational size, process complexity, and system landscape.
Start with Clarity
If you’re ready to move beyond manual processes and explore AI-driven automation with confidence, the AI Automation Assessment is the right place to begin.
Let’s identify where AI will make the biggest impact in your business—and how to implement it.
