You don't need to know what platform to use or whether your idea requires an agent, an automation, or a custom application. Tell me what's taking too long, costing too much, or falling through the cracks. Here's how I think about common business problems.
I look at which tasks are truly repetitive, how often they occur, how much time each one takes, and where the handoffs break down.
An AI workflow, automation, or agent that handles the repetitive portion—freeing your team for higher-value work.
Hours saved per week, fewer errors, and faster turnaround on routine tasks.
Depends on the consistency of your existing process and data quality.
I review your lead intake process, response times, follow-up cadence, and where prospects typically go cold.
A lead-response system that acknowledges, qualifies, and follows up automatically—while keeping your team in control.
Faster response times, more consistent follow-up, and fewer missed opportunities.
Requires integration with your existing CRM or lead source.
I look at what decisions you're making, what information would help, and where you're currently spending time gathering data manually.
Research and intelligence systems that compile, summarize, and deliver the information you need—on demand or on a schedule.
Better-informed decisions with less time spent gathering data.
Research quality depends on available data sources and the specificity of the question.
I assess where your institutional knowledge lives—docs, emails, chat threads, people's heads—and how hard it is for employees to find what they need.
An internal knowledge assistant that lets employees ask questions in plain English and get answers grounded in your company's own documents.
Faster onboarding, fewer repeated questions, and knowledge that stays accessible even as people change roles.
Requires organizing and maintaining the underlying knowledge base.
I evaluate the tools you're considering against your actual business needs, budget, security requirements, and existing systems.
A clear recommendation on which tools are worth adopting, which to avoid, and which to revisit later.
Money saved on tools you don't need, and confidence in the ones you do adopt.
The AI tool landscape changes rapidly—recommendations need periodic review.
I look at what your team actually does day-to-day and where AI could help them—if they knew how to use it.
Team-specific training and adoption support focused on real workflows, not generic AI theory.
Employees who use AI responsibly and consistently in their actual jobs.
Adoption depends on team buy-in and ongoing reinforcement.
I assess the idea against current AI capabilities, your technical resources, and the business problem it's meant to solve.
An honest assessment of feasibility, a recommended approach if it's viable, or a clear explanation of why it isn't the right time.
Clarity on whether to invest, pivot, or wait—before spending money.
Some ideas require capabilities that don't yet exist or aren't reliable enough for production use.
I review the existing automation, its failure points, data flow, and how it was originally built.
Troubleshooting, rebuilding, or replacing the unreliable components—plus monitoring to catch issues before they recur.
A system that works consistently and fails gracefully when something goes wrong.
Some legacy automations may need to be rebuilt from scratch rather than patched.
I look at the specific problem, who needs the tool, and what a minimum useful version looks like.
A lightweight application or prototype built with no-code or low-code tools that solves the problem without a months-long development cycle.
A working tool in weeks, not months—at a fraction of traditional development cost.
Lightweight tools have limits; if the problem grows, a more robust solution may eventually be needed.
Bring John the question, the bottleneck, or the outcome you want. He’ll help you determine whether the right next step is advice, a package, a custom solution—or nothing new at all.
Start with a complimentary AI Fit Call. No technical brief required.