Service
Most AI initiatives fail not because of the technology — but because of gaps in process, data, and strategy. We fix the foundation first, then build a roadmap that turns AI investment into measurable results.
AI Readiness Assessment
Strategy without execution is just a document. We deliver clear assessments, prioritized roadmaps, and the business cases that get AI investments approved and implemented.
Before investing in AI, you need an honest picture of where you stand. We evaluate your data quality, process documentation, system landscape, technology infrastructure, and organizational culture across five readiness dimensions — giving you a clear, actionable baseline.
What We Evaluate
Not every process should be automated, and not every AI tool delivers equal value. We work with your teams to surface, score, and rank AI opportunities by impact, feasibility, and time-to-value — so you pursue the right ones first.
Evaluation Criteria
A prioritized list of opportunities is just the start. We build a phased, sequenced implementation roadmap that accounts for your budget, team capacity, and organizational change tolerance — delivering value at every stage, not just at the end.
Roadmap Components
AI projects don't fund themselves. We quantify the ROI of your top opportunities — modeling labor savings, error reduction, throughput gains, and revenue impact — and package the analysis in a format that gets executive buy-in and budget approval.
Business Case Elements
Our strategy engagements are structured, fast-moving, and designed to produce decisions — not just deliverables. Here's how we get you from "where do we start?" to a roadmap your team is ready to execute.
We interview stakeholders, analyze your processes and systems, evaluate your data maturity, and benchmark your organization against AI readiness criteria. No assumptions — just facts.
We facilitate workshops with your team to surface AI use cases, then score them rigorously by value, feasibility, and urgency. You see exactly why we're recommending what we're recommending.
We sequence your top opportunities into a phased plan that delivers quick wins early, builds organizational confidence, and lays the groundwork for more complex AI investments over time.
We present the strategy to your leadership team, answer hard questions, build the business cases that unlock budget, and establish the governance model to keep AI initiatives on track.
Every strategy engagement produces concrete artifacts your team can act on immediately.
A detailed assessment of your organization across five readiness dimensions, with a clear gap analysis and prioritized remediation recommendations.
A scored, ranked catalog of AI and automation opportunities specific to your business — with impact estimates, feasibility ratings, and implementation complexity for each.
A phased implementation plan with sequenced initiatives, resource requirements, technology recommendations, and milestone definitions for the first year of execution.
Executive-ready ROI models for your top three opportunities — quantifying labor savings, error reduction, throughput gains, and payback timelines in language finance leaders understand.
Vendor-agnostic guidance on the platforms, tools, and architecture patterns best suited to your specific opportunities, existing stack, and organizational constraints.
A lightweight model for AI initiative ownership, decision-making authority, progress tracking, and success measurement — so momentum doesn't stall after the strategy is approved.
A 300-person professional services firm had invested in three separate AI tools over two years — none of which delivered meaningful results. Leadership had lost confidence in AI and was skeptical of further investment.
We conducted a full AI readiness assessment and discovered the real problem: not the tools, but the underlying processes and data. Two of the three pilots failed because the processes they targeted weren't documented or standardized. The third failed because the data feeding it was inconsistent across systems.
AI strategy consulting delivers the most value when organizations are at a decision point — before major investment, after a failed pilot, or when leadership disagrees on direction.
You know AI matters, but you need a clear answer to "where do we start and what will it actually cost us?" We translate AI potential into a concrete plan with a business case you can take to the board.
You need a vendor-agnostic view of which AI technologies fit your stack, your team's capabilities, and your timeline — not a sales pitch for a platform. We give you an independent perspective grounded in your specific environment.
You see the bottlenecks every day and know there's a better way — but you need to make the case upward and figure out where to start. We quantify the pain and build the roadmap that gets your automation initiatives funded.
You need to see the numbers before approving AI spend. We build rigorous ROI models with realistic assumptions, sensitivity analysis, and payback timelines — so you can evaluate AI investments the same way you evaluate any capital project.
You've been tasked with driving AI adoption but need a structured framework to avoid the chaos of ad-hoc experimentation. We give you the governance model, prioritization methodology, and roadmap to run a disciplined AI program.
You tried AI, it didn't work, and now leadership is skeptical. We diagnose what actually went wrong — usually process and data gaps, not technology — and build a path forward that restores confidence and delivers real results.
Tell us where you are today — whether you're starting from scratch, recovering from a failed pilot, or ready to scale. We'll show you exactly what a strategy engagement would look like for your organization.