What the data shows about AI in business
The gap between intention and execution is large. The companies that capture value from AI are not the ones that move fastest. They are the ones that identify the right problems, prepare the right data, and match the right tools to the right tasks.
Where AI helps. Where it does not.
MIT Sloan researchers call this the "jagged technological frontier." AI performs exceptionally well on certain types of tasks and significantly degrades performance on others. Knowing the difference is the foundation of a sound AI strategy.
Where AI creates measurable value
- Synthesizing large volumes of unstructured data
- Generating drafts, summaries, and documentation
- Pattern recognition across historical records
- Automating repetitive, rule-based workflows
- Accelerating research and knowledge retrieval
- Personalizing communications at scale
Where human judgment is irreplaceable
- Strategic decisions requiring contextual nuance
- Ambiguous situations with incomplete information
- Relationship-driven negotiations and leadership
- Novel problems without historical precedent
- High-stakes decisions with ethical dimensions
- Tasks where explainability is legally required
Source: "Leading with AI," MIT Sloan Management Review (2024). Study of 700+ BCG consultants across controlled conditions.
How we approach AI strategy engagements
Workflow and Operations Assessment
We map how work actually gets done across your organization. Not how the org chart says it gets done. We identify where time is lost, where data is trapped, and where decisions are delayed by information gaps.
Opportunity Identification and Prioritization
We identify where AI creates genuine operational leverage. Each opportunity is scored across five dimensions: time and cost impact, implementation complexity, employee adoption risk, data readiness, and strategic alignment.
Roadmap and Implementation Planning
We deliver a sequenced roadmap with specific priorities, realistic timelines, and defined success metrics. The roadmap distinguishes between quick wins you can execute in weeks and strategic initiatives requiring longer investment.
What we do not do
- Recommend technology we have financial relationships with
- Build PowerPoint strategies that do not translate to execution
- Treat AI adoption as a technology project rather than an organizational change
- Overpromise on timelines or return on investment
- Ignore data readiness before recommending implementation
What our clients receive
- An unbiased assessment of where AI creates real value for your business
- A prioritized roadmap with specific next steps and accountabilities
- Honest guidance on what is achievable in 30, 90, and 180 days
- Support in evaluating and selecting technology vendors
- Organizational readiness guidance for sustainable adoption