AutoArmy’s B2B AI consulting helps US firms find the use cases worth funding, ready their data, and adopt AI that lifts revenue and efficiency, with a vendor-neutral path from strategy to results.
of enterprises now run AI in at least one workflow, most still chase measurable ROI.
of agentic AI projects will be canceled by 2027 on unclear value, Gartner.
greater productivity for companies running AI-led processes, Accenture.
to a first prioritized use case with an AutoArmy advisor, no cost.
Most B2B firms know AI matters but stall on execution. B2B AI consulting closes the six gaps below. Each one comes with the evidence behind it.
of agentic AI projects canceled by 2027, Gartner
01
Excitement outruns a plan. McKinsey finds just 1% of executives call their AI rollouts mature. Scattered pilots rarely add up to value.
02
The wrong builder sinks the project. MIT finds AI bought from specialized vendors succeeds about 67% of the time, roughly double internal builds. A poor fit wastes months and budget.
03
Weak data starves every model. IBM finds only 29% of technology leaders say their data meets the standards AI needs. Messy data breaks projects before they deliver.
04
Pilots rarely become habit. Accenture finds only 8% of enterprises have scaled AI across the business. Without change management, tools sit unused.
05
AI touches sensitive data fast. Deloitte finds 38% of organizations name regulatory compliance their top barrier to scaling AI. Skipping controls turns a small gap into real exposure.
06
Budgets grow, returns lag. KPMG finds only 15% of leaders have set ROI metrics for AI. Spending without targets funds projects nobody can measure.
Every engagement stays advisory. We assess your goals, scope what fits, and guide the work that ties AI to revenue and efficiency. You own each decision, and the advice names real tools.
01
Map where AI pays off first. Advisory work scores use cases by value and feasibility. It then sequences a roadmap tied to ROI, so your firm funds the bets most likely to move the numbers.
Get an independent read on your highest-value opportunities, plus a roadmap your leadership can fund.
AI pays off differently by sector, and advice is shaped to each one. The constant is a clear line from a use case to measurable value.
Models price risk and catch fraud. McKinsey estimates gen AI could add $200 billion to $340 billion a year across banking. AI sharpens underwriting, service, and fraud review.
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Admin work buries clinical teams. Deloitte finds 75% of leading health companies are scaling gen AI. It clears documentation and operations under strict safeguards.
Machines flood systems with data. Deloitte finds 24% of manufacturers have deployed gen AI at the facility level. AI drives maintenance, quality, and scheduling.
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Software firms embed AI fastest. McKinsey estimates gen AI could add up to $240 billion to $460 billion in high tech. AI adds features, copilots, and faster releases.
Expertise scales with the right tools. PwC finds industries most exposed to AI saw three times higher growth in revenue per employee. AI speeds research, drafting, and analysis.
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Forecasts decide cost and service. McKinsey finds AI in distribution can cut logistics costs by 5-20%. AI powers demand forecasting, routing, and inventory.
Our model is simple. Independent advice comes first, and a connection to the right delivery team follows. You get strategy and execution without the usual handoff gap.
Advisory comes first, then we connect you with vetted partners matched to your industry and goals. You gain senior strategy plus a delivery team proven on real B2B work.
Partners are matched to your sector and your specific use case, from finance to logistics. That fit means faster results and no generic playbook bolted onto your business.
Guidance builds privacy, bias checks, and oversight into every engagement. Controls map to the NIST AI RMF and SOC 2, so your AI clears audits instead of triggering them.
From strategy to delivery, one advisor coordinates the partners doing the work. Nothing falls between vendors, so your program holds together across every phase.
Start with a no-cost read on where you stand. We assess your data, use cases, and goals, then show the fastest, lowest-risk path before you spend a dollar.
Advisory framework
Fewer wrong turns · one signed route
Tell us your goals. We will find the use cases worth funding and match you with the right team.
Ready to lead with AI innovation?
Book a free consultationStraight answers to the questions leaders ask most.
What is AI consulting and how is it different from general IT consulting?
AI consulting focuses on where AI creates value and how to deploy it safely. IT consulting covers systems, networks, and general software. The AI version goes deep on data, models, governance, and adoption, handling concerns IT rarely faces, like bias and model drift. For a B2B firm, that means advice tied to revenue and efficiency, not just keeping the lights on.
How much does consulting cost for mid-sized businesses in the US?
Cost tracks scope: the number of use cases, your data maturity, and how much you build. A focused advisory engagement or readiness assessment is modest, while a multi-quarter program costs more. Because the work ties to outcomes, payback matters more than price. Advisors scope it so projected revenue or savings clearly beat the investment before you commit.
How do I find the right AI consultants for a B2B firm?
Look for proof in your sector, not generic promises. Favor advisors who stay vendor-neutral, so the advice fits your needs rather than their product. AutoArmy assesses your goals, then matches you with vetted partners whose record fits your industry and stack. You keep one accountable advisor, gain a proven team, and approve the partner before any work begins.
How long does a typical engagement take from start to finish?
A focused use case can show results in a few weeks to a couple of months. Broader programs run over a quarter or more, depending on data readiness and integration work. Advisors sequence quick wins first, so value shows early and funds the rest. Clear metrics, set at the start, keep the work on track and on budget.
What should my business have in place before starting an AI consulting engagement?
A clear goal helps most: a problem worth solving and a sense of the metric you want to move. Useful data and an executive sponsor matter too, though gaps are normal. A readiness assessment fills them in. You do not need an in-house AI team; the matched partner supplies the technical delivery while you own the decisions.
How does AutoArmy match businesses with consulting partners?
We start with an advisory assessment of your goals, data, and systems. From there we match you with vetted partners whose record fits your sector and stack. Because we stay vendor-neutral, the recommendation follows your needs, not a quota. You keep one accountable advisor, gain a proven delivery team, and approve the partner before any work begins.
Businesses see real AI returns by making fewer wrong decisions early. AutoArmy’s advisory process helps businesses make the right call before the budget is set.
30 minutes · no cost · no sales deck
"Three weeks from intake to a working agent in your stack."
From the AutoArmy advisory brief · 2026
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.
