AI Strategy Consulting
AI Strategy That Ships.
What We Do
Every business leader knows AI is important. Very few know which AI investments will actually pay off for their specific business in their specific market. The gap between knowing AI matters and building an AI strategy that generates real return is where most companies stall. We close that gap. Our AI strategy engagements are built around your actual workflows, your existing data assets, your team capabilities, and the competitive dynamics of your industry.
No generic AI playbooks. No buzzword-heavy slides that gather dust. A prioritized roadmap of specific initiatives with clear implementation sequences, realistic cost estimates, and ROI projections you can hold us to. We stay involved through execution so the strategy does not die in a slide deck.
How We Work
We start with a structured discovery process: interviews with key team members across functions, a review of your technology stack and data infrastructure, and a process mapping exercise that identifies where time and money are being consumed. From that input we evaluate your operations against AI opportunity signals: high volume, high repetition, data-pattern-based decisions. The use cases that pass that test get prioritized by implementation complexity and expected return. We then build a phased roadmap that sequences initiatives to deliver early wins while building toward larger capabilities.
The roadmap includes technology recommendations, build vs. buy analysis, team skill requirements, and a realistic timeline. We present it to your leadership team and then move into implementation alongside you.
Why Running Start Digital
Pricing
From $5,000
Typical turnaround: 2-4 weeks
Includes
Frequently Asked Questions
We map your workflows and look for three signals: high volume, high repetition, and decision-making based on data patterns. Those intersections are where AI delivers the fastest return.
Not always. Pre-trained models handle many tasks out of the box. Custom training requires more data, but we assess what you have and recommend realistic starting points.
The assessment and roadmap phase takes 2 to 4 weeks. Implementation timelines depend on the use cases prioritized, typically 2 to 6 months per initiative.
It varies by use case. Customer service automation typically saves 30 to 50 percent on support costs. Document processing can cut manual review time by 80 percent. We project ROI before building.
Assessment and roadmap engagements typically run $8,000 to $20,000 depending on organizational size and scope. Implementation guidance is structured separately as an ongoing advisory arrangement.
We account for your team's capabilities when recommending use cases. No-code and low-code AI tools can deliver meaningful value for non-technical teams. We build a strategy that your team can actually execute.
Specificity. Good AI strategy names exactly which processes will be automated, which tools will be used, what the build sequence is, and what success looks like. Bad AI strategy talks about transformation without defining what changes.
Ready to get started?
Start with a $2,500 deposit. Balance due on delivery.