An AI agent is only as good as the problem it's solving, the context it operates in, and the growth it drives. We fix all three — under one framework, with scalable outcomes in days or weeks.
Most enterprise AI pilots never reach production. Not because the technology fails — because the problem was never sharp enough to begin with. Teams build to a fuzzy objective, ship a demo, and watch it die in the gap between interesting and useful.
Agents hallucinate, leak data, and miss the obvious because they're being asked to reason on documents nobody curated, knowledge nobody captured, and context nobody governed. The data isn't ready for the agent it's being asked to feed.
Buyers used to find you on page one of Google. Now ChatGPT, Claude, Perplexity, and AI Overviews answer the question before the click happens. If your brand isn't being cited in those answers, you're invisible at the exact moment of buying intent.
Most AI consultancies fix one of these and call it a day. Strategy firms write decks about the problem. Data engineers wire up the warehouse. Growth shops chase keywords. Each is right about their piece — and each of their pilots dies in the gap between the pieces.
We do all three, in one engagement, governed by one framework. That's the only configuration that actually ships.
AIM-IT — Assess, Innovate, Model, Implement, Track — is our stress-tested method for taking aim at the right business problem with the right intelligent technology. It forces clarity before automation: scope what's worth solving, redesign the workflow, model the right solution, implement with discipline, and track outcomes against the original business case.
AIM-IT runs through all three modules — AIMSolve, AIMContext, and AIMGrowth — and is the reason our engagements ship where others stall.
Fix the workflow before you automate the chaos.
AIMSolve helps leaders identify the highest-value business problem, produce a one-page AI Opportunity Charter (Assess phase), and ship a 1–2 week production-ready MVP that runs the full AIM-IT Playbook end-to-end. It's the front door to the AIM Suite — where AI ambition becomes a scoped, prioritized, ROI-driven initiative instead of another pilot that quietly dies.
Give AI the data, domain expertise, and guardrails it needs to do real work.
AIMContext ships a 14-day production-ready MVP of the trusted knowledge foundation your agents need — Databricks medallion architecture (Free Edition or Premium), agentic harnessing, context engineering, and governed RAG — with working code for ingestion, Bronze, Silver, and Gold layers. Non-Databricks options available. Without governed access to company data, expert judgment, workflow context, and operational guardrails, AI is a clever assistant trapped outside the business — and that's where most enterprise agents die.
Win visibility, trust, and demand in the AI-answer economy.
AIMGrowth ships a 7–14 day production-ready MVP of your marketing and lead engine for a world where buyers ask ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews before they ever visit a website — combining LLM citation strategy with AI-powered omnichannel orchestration. You stop chasing one algorithm and start showing up everywhere the buyer is already looking — independent of any single platform, channel, or search update.
The five phases of AIM-IT — Assess, Innovate, Model, Implement, Track — each produce a named deliverable, not a slide.
The AI Opportunity Charter
Problem stated in measurable terms. ROI target with a number. Integration map. Feasibility ruling. One page.
The Solution Hypothesis Map
Three solution paths considered, the one we recommend, the reasons the other two were rejected.
Working Prototype + Business Case
Built with Replit, Cursor, OpenAI Agent Builder, LangGraph, DSPy — whichever fits the problem.
Adoption + Workflow Plan
Integrated with your stack. Trained users. Feedback loops. RAG layer connected. No "throw it over the wall."
KPI Dashboard + Improvement Loop
OpenAI Evals, Okareo, DSPy. Accuracy, latency, cost-per-query, drift, business KPI — measured continuously.
Frank "Rio" Shines flew Air Force aircraft, captained NCAA gymnastics at the U.S. Air Force Academy, and spent thirty years inside IBM, Ernst & Young, Johnson & Johnson, and McKesson learning what makes Fortune 500 transformations stick — and what makes them die.
He's a Lean Six Sigma Master Black Belt and a four-time published author (twice with Wiley, including AI or Die: The Caveman's Visual Guide to AI for Everyone, 2025). Co-founder Umer Qureshi runs the technical practice — agents, RAG, content engines, and the GEO stack that makes AI search find our clients first.
We've been doing transformation work for three decades. We've been doing it with AI since before "agentic" was a category. You get the principals on every engagement — not the analysts.
On every Sprint engagement: if we don't deliver the agreed working artifact in 60 days, you don't pay the final invoice. We can offer this because AIM-IT works — and because we've shipped it forty-plus times.
Full-spectrum 30-minute live diagnostic across all three systems. One-page red/yellow/green scorecard plus a recommended starting system. Limited to 10 per month.
Claim a slot →Opportunity Charter plus a 1–2 week production-ready MVP. The full AIM-IT Playbook, end-to-end. Starting at $2,500.
Book it →14-day production-ready knowledge foundation with full ingestion-to-Gold code. Databricks Free Edition, Premium, or your stack. Starting at $3,500.
Book it →7–14 day production-ready MVP. LLM citation engine plus AI-powered omnichannel orchestration. Starting at $1,500.
Book it →Pick a diagnostic. Get clarity in seven to fourteen days. Or run the free Flight Recorder if you're not sure where to start. You walk out knowing exactly which of the three systems your problem needs.
One working agent, one unified data layer, or one AI-citation-engineered campaign — depending on which system you start with. 60-Day Ship Guarantee on every Sprint.
Monthly improvement loop, additional agents, expanded coverage. We earn the renewal. The data and AIM-IT artifacts are yours to keep regardless.
They sell hours. We sell shipped artifacts under a 60-day guarantee. Their average AI engagement runs $1M–$5M and 18 months. Ours start at $1,500, top out at named fixed prices, and ship in 90 days. We can do this because AIM-IT compresses the discovery work that consumes 60% of a Big Four engagement.
That's the most common starting condition. The Agent Context Audit is designed for exactly that case. We'll tell you what the readiness gap actually is — not what a sales engineer wants you to hear — and we'll give you a 90-day roadmap to close it.
Every Sprint engagement carries the 60-Day Ship Guarantee. If we don't deliver the agreed working artifact, you don't pay the final invoice. We can offer this because we've shipped it forty-plus times across pharma, healthcare, manufacturing, and infrastructure.
RAG with vector stores and, when needed, local LLM deployment inside your perimeter. Your data is never used to train public models. Unity Catalog grants by group, never by individual. Full lineage. We come from regulated industries — pharma, financial services, healthcare — and build to that standard by default.
The AI Flight Recorder runs this week. The paid diagnostics start within ten business days of agreement. Sprints kick off the Monday after diagnostic acceptance.
You shouldn't — unless those two principals combined hold thirty years of Fortune 500 transformation experience, a Wiley publishing track record, a Lean Six Sigma Master Black Belt, and a working agentic AI delivery practice. Then you should — because you get the principals on every engagement, not the analysts who'd be assigned at the Big Four.
By Frank Shines & Umer Qureshi. Wiley, 2025. The book your team can read in an afternoon and have an actual opinion by Monday. Free excerpt delivered by email.
Get the free excerpt →The problem-to-solution engine that compresses Lean Six Sigma cycles to a tenth of the time. Six guided frameworks — AIM-IT, Lean 6σ, Design Thinking, and more. Free trial, no credit card.
Try ProbSolveAI →Thirty minutes with the founders. No deck. We'll tell you which of the three systems your problem actually needs — and whether we're the right team to ship it. If we aren't, we'll tell you that too.
Book the Flight Recorder →