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Businesses now use AI for at least one of their workflows or strategic goals, but are still waiting on measurable ROI. Connect your business with the right AI consulting expertise. Close the gap without relying on a single vendor and starting from scratch.
of AI ROI leaders report that AI is now part of their corporate strategy.
of C-suite leaders confirm increased productivity from AI implementation.
of AI POCs are scrapped before production, typically scale, not technology.
of executives measure reliable ROI from their AI investments today.
Most agent projects fail for the same few reasons. Here are the six that stall progress most, each with the evidence behind it.
of agentic AI projects canceled by 2027, Gartner
01
Hype drives most early agent work. Gartner says only about 130 of thousands of “agentic” vendors are real. Without strategy, you buy demos, not outcomes.
~130
Real "agentic" vendors of thousands, Gartner
02
Autonomy outpaces oversight. Deloitte finds only one in five firms governs autonomous AI well. Agents then act on data no one has scoped.
1 in 5
Firms govern autonomous AI well, Deloitte
03
Spend climbs while value stays fuzzy. Gartner predicts over 40% of agent projects will be canceled by 2027 on rising cost and unclear value.
40%+
Of agent projects canceled by 2027, Gartner
04
Agents need clean access to live systems. McKinsey reports just 7% of firms have fully scaled AI. Disconnected tools leave agents unable to act.
7%
Of firms have fully scaled AI, McKinsey
05
Ambition runs ahead of fit. Gartner expects 30% of generative AI projects to be dropped after the pilot. Often the use case never warranted an agent.
30%
Of gen AI projects dropped after pilot, Gartner
06
Small errors compound at scale. McKinsey reports inaccuracy is the gen AI risk firms most often hit yet undermanage.
#1
Most-experienced gen AI risk is inaccuracy, McKinsey
Six practice areas covering the full enterprise AI journey, from a clear-eyed strategy to a governed, production system that holds up under audit.
01, Strategy
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Advisory framework
Fewer wrong turns · one signed route
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From the AutoArmy advisory brief · 2026
AI consulting services, scoping, partner ecosystem, and pricing, answered.
How do I know which AI consulting services my business needs?
AI consulting services begin with specific use cases and an AI readiness evaluation for your business needs. They help you identify the most valuable opportunities aligned with your goals.
How can AI consulting services help my business?
AI consulting services identify potential opportunities and connect you with the right partners. With the right partner, your business improves efficiency and achieves measurable ROI.
How does AutoArmy deliver AI consulting services?
AutoArmy connects you with vetted partners. All execution and implementation are delivered by specialized providers, not directly by AutoArmy. We bridge the gap between you and the partner ecosystem.
What is the difference between enterprise and small business AI consulting?
Enterprise AI consulting focuses on scale, control, and governance. Small business AI consulting focuses on cost, targeted use cases, and speed.
How much do AI consulting services cost?
Costs depend on scope and complexity. Most businesses start with a free consultation. From there, an evaluation determines the investment and the expected ROI.
30 minutes, no cost, no sales deck. Tell us a little about your goals and a preferred time, and a senior AI consultant will confirm.