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AI Consulting — Strategy Before Execution

Most AI projects fail not because of technology, but because of poor strategy. We help you build the right roadmap, choose the right tools, and train the right people — before you spend a dollar on development.

1 ASSESS 2 STRATEGIZE 3 PLAN 4 IMPLEMENT 5 SCALE

The Right Strategy Changes Everything

According to Gartner, over 85% of AI projects fail to deliver on their promises. The common thread? They started with technology, not strategy. We flip that equation. Before a single line of code is written, we help you understand where AI creates real value, what's realistic, and how to build a foundation that scales.

85%
Of AI projects fail to move from pilot to production
— Gartner
$4.4T
Potential annual value from AI across industries globally
— McKinsey
2.6x
Higher success rate for companies with an AI strategy vs. ad-hoc adoption
— Boston Consulting Group
67%
Of executives say AI skills gaps are their biggest adoption barrier
— PwC CEO Survey

How We Guide You

AI Strategy Development

A comprehensive AI strategy aligned with your business goals. We identify high-value use cases, define success metrics, and create a phased implementation roadmap that balances ambition with pragmatism.

Use Case Mapping ROI Analysis Prioritization Roadmapping

AI Readiness Assessment

A thorough evaluation of your data infrastructure, technical capabilities, team skills, and organizational culture. We identify gaps and build a concrete action plan to close them.

Data Audit Infrastructure Review Skills Gap Analysis Maturity Model

Technology Evaluation

Vendor-neutral assessment of AI platforms, tools, and frameworks. We cut through the hype to recommend solutions that actually fit your technical requirements, budget, and team capabilities.

Vendor Comparison Platform Selection Build vs. Buy TCO Analysis

Implementation Planning

Detailed project plans with milestones, resource requirements, risk mitigation strategies, and integration architecture. We plan for the 90% that goes right and the 10% that doesn't.

Project Scoping Architecture Design Risk Assessment Timeline

AI Governance & Ethics

Frameworks for responsible AI deployment — bias detection, model explainability, data privacy compliance, and human oversight protocols. Build AI your customers and regulators trust.

Responsible AI Bias Monitoring Compliance Transparency

Team Training & Upskilling

Custom training programs for executives, product teams, and technical staff. From AI literacy for leadership to hands-on workshops for developers — we meet your team where they are.

Executive AI Literacy Developer Training Workshops Prompt Engineering

Top Reasons AI Projects Fail (And How Consulting Prevents Them)

1 No clear business case 42% of failed projects — Rand Group AI Strategy Development ROI-first use case identification and prioritization 2 Poor data quality / infrastructure 35% of failed projects — VentureBeat AI Readiness Assessment Data audit and infrastructure roadmap before build 3 Lack of internal AI skills 67% of executives cite as top barrier — PwC Team Training & Upskilling Custom programs from AI literacy to hands-on dev 4 No governance or trust framework Rising regulatory pressure — EU AI Act, SOC2 AI Governance & Ethics Frameworks Responsible AI policies, bias monitoring, compliance

Strategy-first consulting addresses the root causes of AI failure before they become expensive problems

AI Consulting For Every Stage

Just Getting Started

You know AI matters but aren't sure where to begin. We run a discovery workshop, identify your highest-ROI opportunities, and build your first AI roadmap — fast.

Evaluating AI Investments

You have budget but need confidence in where to spend it. We conduct vendor-neutral technology assessments and build vs. buy analysis for your specific needs.

Stuck in Pilot Purgatory

You've run AI proofs-of-concept but can't get them to production. We diagnose the blockers, rebuild the path to deployment, and establish governance that enables scale.

Building an AI Team

You need to hire and train for AI but aren't sure what roles or skills are needed. We design team structures, define role requirements, and deliver hands-on training programs.

Navigating AI Compliance

You're concerned about AI regulation, bias, and data privacy. We build governance frameworks that meet emerging standards (EU AI Act, SOC 2) while enabling innovation.

Scaling AI Across the Org

You've had AI success in one department and want to expand. We create an enterprise-wide AI operating model, establish centers of excellence, and drive cross-functional adoption.

How a Consulting Engagement Works

1

Discovery Call

A focused conversation to understand your business, current AI maturity, pain points, and goals. No sales pitch — just alignment on whether we can help.

2

Deep-Dive Assessment

We conduct interviews, audit data and systems, evaluate team capabilities, and benchmark against industry standards. This typically takes 2-4 weeks.

3

Strategy & Roadmap Delivery

We present a comprehensive AI strategy document with prioritized use cases, technology recommendations, resource plans, timelines, and expected ROI projections.

4

Implementation Support

We stay engaged through implementation — whether you build in-house, hire, or engage us for development. Advisory retainers keep your AI strategy on track as conditions evolve.

Common Questions About AI Consulting

An AI consultant helps businesses develop and execute an artificial intelligence strategy. This includes assessing AI readiness, identifying high-value use cases, evaluating technology options, creating implementation roadmaps, establishing governance frameworks, and training teams. The goal is to ensure AI investments deliver measurable business value rather than becoming expensive experiments.
According to Gartner, over 85% of AI projects fail to reach production. The top reasons are: no clear business case (42%), poor data quality and infrastructure (35%), lack of internal AI skills (67% of executives cite this as a barrier), and no governance or trust framework. Most failures are strategic, not technical — which is why AI consulting focused on strategy before execution dramatically improves success rates.
AI consulting engagements typically range from $10,000 to $100,000+ depending on scope. A focused readiness assessment or strategy workshop may cost $10,000-$25,000. A comprehensive AI strategy with roadmap, technology evaluation, and implementation planning for an enterprise can range from $50,000-$100,000+. Advisory retainers for ongoing support typically run $5,000-$15,000 per month.
A typical AI strategy consulting engagement takes 4 to 8 weeks. This includes a discovery phase (1-2 weeks), deep-dive assessment of data, systems, and team capabilities (2-3 weeks), and strategy and roadmap delivery (1-2 weeks). Follow-on implementation support can be structured as ongoing advisory retainers.
Yes — having technical talent doesn't replace strategic guidance. AI consulting provides the business-side perspective that technical teams often lack: which use cases will deliver the highest ROI, how to sequence investments, what governance is needed, and how to measure success. Companies with an AI strategy are 2.6x more likely to succeed with AI projects than those taking an ad-hoc approach, according to Boston Consulting Group.
AI governance is a framework of policies, processes, and oversight mechanisms that ensure AI systems are used responsibly, ethically, and in compliance with regulations. It covers bias monitoring, model explainability, data privacy, human oversight, and audit trails. With regulations like the EU AI Act and increasing scrutiny of AI systems, governance isn't optional — it's a business requirement for sustainable AI adoption.

Your AI Strategy Starts Here

Book a free 30-minute discovery call. We'll discuss your business goals, assess where AI can create the most value, and outline next steps — no commitment required.