Enterprises Want to Use AI but Don't Know Where to Start? Professional Pre-Sales Consulting Provides an Evidence-Based Investment Decision
Many enterprises want to leverage AI but don't know where to begin. We provide professional AI pre-sales consulting services—diagnose your business pain points, evaluate AI implementation feasibility, design overall architecture plans, calculate costs and benefits, and verify results through POC. Gartner data shows that 85% of AI projects fail to deliver expected value, with one key reason being the lack of upfront feasibility assessment. The value of pre-sales consulting lies precisely in verifying whether AI can truly solve your business problem before committing significant resources.
> McKinsey's 2025 State of AI report indicates: 88% of organizations are using AI, but only 6% become high-performers. The gap often stems from the "what to do" decision—choosing the right use case is more important than the right technology. Professional pre-sales consulting helps enterprises find the entry point that maximizes AI value.
Core Pre-Sales Consulting Services
Consulting Practice in Five Industries
Traditional Manufacturing: Diagnose production efficiency bottlenecks, plan AI+IoT implementation
Through on-site research, identify production line bottlenecks—is it equipment downtime, quality fluctuations, or excessive energy consumption? Tailor AI+IoT solutions accordingly and provide quantified effect expectations after POC verification. Typical scenario: After predictive maintenance POC, unplanned downtime is reduced by 40%-60%.
Financial Institutions: Evaluate AI risk control feasibility, calculate ROI
Assess the potential for AI enhancement of existing risk control systems, design model plans and deployment architecture, and calculate the ROI of computing power investment versus risk reduction. After AI risk control models are deployed in the financial industry, approval efficiency increases by over 50%, and risk identification rate increases by 20%-30%.
Retail Chains: Analyze customer service and operational pain points, develop AI Agent implementation roadmap
Diagnose contact center pain points and operational efficiency bottlenecks, design AI Agent solutions and plan phased implementation. In the POC phase, verify the AI customer service resolution rate; proceed to full deployment only after meeting targets.
Healthcare: Evaluate compliance of AI-assisted diagnosis, plan private deployment solutions
AI applications in healthcare are strictly regulated. We evaluate the compliance pathway for AI-assisted diagnosis, design private deployment solutions that keep data within the hospital, ensuring compliance with the Personal Information Protection Law and relevant health commission requirements.
Government: AI+ e-government feasibility assessment, data security and compliance solution design
Government AI applications must meet classified protection requirements and data security regulations. We assess from three dimensions—feasibility, compliance, and security—and design implementation solutions that satisfy regulatory requirements.
Why Do AI Projects Need Pre-Project Consulting?
> According to 2025 data from the China Software Industry Association, enterprises that introduced AI-assisted management saw an average 41% improvement in on-time project delivery. Meanwhile, AI projects launched directly without pre-project consulting have a success rate of only around 30%. The core value of pre-sales consulting is to "verify first, then invest" — avoiding resource waste from "show-off pilots."
| Stage | Without Consulting | With Consulting |
|---|---|---|
| Scenario selection | Based on intuition, popular direction | Data-driven identification of high-value scenarios |
| Effect expectation | Only discover poor results after launch | POC verification before investment |
| Cost control | Budget overruns common | ROI calculation first |
| Success rate | ~30% | >75% |
Frequently Asked Questions
What is the process for AI pre-sales consulting? How long does it take?
The standard process is: business pain point research (1-2 weeks) → feasibility diagnosis and solution design (1-2 weeks) → POC Demo development and effect verification (2-4 weeks), totaling 4-8 weeks. Gartner data shows that 85% of AI projects fail to deliver expected value, with the lack of upfront feasibility assessment being a key reason. The value of pre-sales consulting is precisely to verify whether AI can truly solve your business problem before committing significant resources.
Can a POC guarantee the results of a formal project?
A POC uses small-scale data to verify core logic, proving that "AI can solve this problem," but it is not equivalent to production-level results. After a POC passes verification, we provide a range of expected effects and a risk list for the formal project, giving you a solid basis for investment decisions. Industry data shows that projects with POC verification have a success rate at launch of over 75%, compared to 30% without.
Is pre-sales consulting charged? How is ROI evaluated?
Basic consulting and diagnosis are usually free or charge a small fee. POC development is priced based on complexity, and the cost can be deducted from subsequent formal project contracts. A McKinsey report shows that 36% of enterprises improved profitability after adopting AI — we help you calculate the ROI before investment, avoiding blind spending.