Know Where AI FitsBefore You Spend a Dollar
Most AI projects fail because nobody asked the right questions first. We assess your operations, map your data, rank the opportunities by ROI, and hand you a roadmap with named owners and 90-day milestones. No 12-week discovery phase. No strategy deck that collects dust.
What You Get
Four deliverables. Each one designed to answer a specific question your leadership team is asking.
AI Readiness Assessment
We evaluate five dimensions: data maturity, technical infrastructure, workforce skills, leadership alignment, and change management readiness. You get an honest score — not a sales pitch — and a clear picture of what needs to happen before any AI investment makes sense.
Use Case Prioritization
We identify every potential AI application in your business, then rank them by impact, feasibility, data readiness, and time to value. The goal isn't finding the most impressive use case. It's finding the one that delivers measurable ROI fastest.
Phased Implementation Roadmap
A 12-36 month plan with specific initiatives, owners, timelines, budget ranges, and success metrics. Phase 1 always targets quick wins in the first 90 days. Because if AI doesn't prove value fast, it loses executive support.
AI Governance Framework
Policies for data privacy, model oversight, vendor management, and employee AI usage. Practical rules that your legal and compliance teams will actually adopt — not a binder on a shelf.
Who This Is For
If one of these sounds familiar, you're in the right place.
"We're thinking about AI but don't know where to start"
You've seen the headlines. Your board is asking questions. But you don't know whether your data is ready, which use cases make sense, or what it'll actually cost. Start here.
"We've tried AI pilots but nothing scaled"
You ran some experiments. Maybe they worked in isolation. But nothing made it to production. You're stuck in pilot purgatory. We know how to get out.
"We need a strategy the board can fund"
Your CFO wants evidence. Your CTO wants architecture. Your COO wants timelines. You need a document that speaks to all three. That's what the roadmap delivers.
What a roadmap looks like
Every business is different. Here's how strategy translates into phased plans for real operational challenges.
Compliance-Heavy Warehouse Operations
Weeks-long deviation cycles, 150+ SOPs requiring version control, reactive QC team. The roadmap: phase 1 — unified monitoring dashboard and SOP search assistant. Phase 2 — AI-drafted compliance reports. Phase 3 — predictive deviation alerts from historical patterns.
Field Service with Data Gaps
25-30% data completion rates from field technicians. Critical repair knowledge locked in a few experienced people. The roadmap: voice-first mobile app for dictation, AI-powered inspection forms, bidirectional ERP sync. Designed to deploy over 3 quarters without disrupting field operations.
AI Strategy Success Stories
How our strategic assessments and roadmaps have helped companies invest in AI with confidence.
How a Niche SaaS Provider Doubled U.S. Leads in 90 Days with an Omni-Channel ABM Engine
Breaking into the U.S. equestrian software market meant overcoming near-zero brand recognition, a tight-knit word-of-mouth buyer community, and a marketing budget that could not afford unqualified clicks.
100% increase in qualified leads
How a Community Bank Cut CPL 83% and Funded $5.9M in New Accounts with Full-Funnel Paid Media
The bank had never run a coordinated digital lead-gen program and lacked the tracking, creative cadence, and budget controls needed to acquire deposits profitably.
83% CPL reduction; $5.9M in new deposits
How a Community Bank Replaced Five Spreadsheets with a Live Multi-Source Performance Dashboard
Fragmented tracking forced marketers to stitch Meta, Google, and landing-page data by hand, delaying optimizations and muddying ROI conversations with executives.
Real-time decision making in hours, not days