Executive Summary:

• Not only technical experiments but also business goals, AI advisory assures that AI investments support the latter.

• Gaming companies and Web3 have their own issues. Live economies, token models, compliance, that advisory services help navigate.

• It is a systematic framework and includes strategy, governance, talent and ROI.

• This is a guide on what AI advisory is, when to do it, business case and scaling AI adoption.

IDC projects $632B in AI spending by 2028. McKinsey links scaled AI adoption to profit growth. Advisory gives leaders a roadmap from strategy to ROI.

What Is AI Advisory?

AI advisory is a service that connects AI to business outcomes. Unlike tech-only projects, it focuses on:

• Business strategy alignment: making sure AI boosts revenue, retention, and efficiency.

• Governance and compliance: handling risks with EU AI Act, NIST RMF, and others.

• Change management: helping teams adopt AI in daily work.

IDC says global AI spend will hit $632B by 2028. Many firms stall at pilots. Advisory bridges this gap, pushing AI into scalable solutions.

For more on implementation strategies, see our AI development main guide.

Why It Matters for Web3 and Gaming Firms

Web3 and gaming run on live economies and token incentives. Advisory ensures AI tools, multi-agent systems, and personalization engines connect with:

• On-chain data flows

• Gameplay mechanics

• Fraud detection and security

This makes advisory vital for startups and gaming studios aiming for growth. Learn more at our AI development page.

Advisory also drives social growth. The TokenMinds UXLINK platform showed how Telegram and TON blockchain created viral referrals, smooth wallet onboarding, and 1,000+ active communities. Advisory helps firms copy this model. Using AI to refine referrals, spot churn, and automate engagement. This turns short-term users into loyal communities.

When to Engage AI Advisory Services

Firms turn to advisory when:

• Vision is clear, but data or use-case priorities are not.

• Pilots launch but fail to scale.

• Risk, compliance, or investors demand governance.

See how to compare the right AI development company for advisory-led partnerships.

Core Framework for Business Leaders

Advisory follows a proven framework:

1. Strategy & Use-Case Selection

   • In line with KPIs: retention, ARPDAU, LTV/CAC, and cost per ticket.

2. Roadmap & Milestones

   • Specify requirements, work team, and roadmap.

3. Delivery Model

   • Cross-functional pods: product, engineering, data science, compliance.

4. Capability Building

   • Develop in-house capabilities to make firms have their AI future.

For more detail, review best practices from our AI development services overview.

Governance and Risk

Advisory ensures compliance with global rules:

• EU AI Act: privacy, transparency, accountability

• OECD AI Principles: fairness, trustworthiness

• NIST AI RMF: risk-based governance

Deloitte says governance and risk are board-level issues, with AI ethics among the top 3 emerging risks.

In blockchain platforms, governance also means strong security. TokenMinds 536 Lottery project used multi-sig wallets, audits, and KYC. Advisory can add AI monitoring, cutting risk and meeting compliance.

This reduces regulatory risk and prepares firms for investor due diligence. Explore how governance ties into Web3 AI strategies.

Operating Model and Talent

Advisors link executives with engineers. They guide vendor fit, platform choices, and workflows to ensure sustainable adoption.

• Help select the right AI development company.

• Advise on integration choices.

• Build new AI-driven operating models.

Budgets, Cost Signals, and ROI

Market Signal:  IDC sees enterprise AI adoption at $632B by 2028.

According to Gartner, over 80% of enterprises will shift their AI projects from proof-of-concept to production by 2025. Reflecting the urgent need for structured advisory support.”

Build Signal: Custom AI agents cost $5K–$50K+, based on complexity. The advisory fees are independent and are aimed at alignment, governance, and planning.

In Web3, expenses are associated with token markets. MovitOn case managed to raise $506K on a private sale where 97% of KYCs are completed. Advisory assists with the AI adoption during such cycles and retains compliance and investor trust.

McKinsey reports scaled AI can boost profit margins by 5–10%.

AI Advisory Cost Signals: The market adoption is estimated to reach $632B in 2028, and the average cost of custom AI agent constructions is estimated to be between $5K and 50K. These signals can be bridged into ROI-driven strategy with the help of advisory.

ROI Comes From:

• Reduced fraud losses

• Higher user conversion and retention

• Improved operational efficiency

For cost planning, see our AI development company comparison guide.

Case Study: Gaming Studio Adoption

An advisory was added to a mid-sized studio to personalize it using AI. Results:

• +18% ARPDAU via recommendations

• 30% faster fraud detection

• 20% lower support costs with chatbots

In DeFi, TokenMinds 536 Lottery platform showed how Chainlink VRF and reward systems build trust. Fraud detection and personalization could be added to advisory, with token economies being adjusted to growth KPIs.

The process ensured KPIs drove the tech, not the other way around.

What Clients Say About AI Advisory

“AI advisory gave us a roadmap and governance. Instead of endless pilots, we scaled across three markets in under a year.” — CTO, Web3 Gaming Startup

“The advisory team linked leadership vision with engineering. That saved us months and clarified compliance risks early.” — COO, Blockchain SaaS

“We compared AI companies, but advisory made the difference in ROI and vendor fit before budgeting.” — Founder, Play-to-Earn Studio

The value of advisory as business first is highlighted by these endorsements: advisory is measurable by ROI, scales up faster, and the exposure to compliance is lower.

Comparison: Advisory vs Consulting vs Development

For blended models, firms often combine advisory with AI development services.

Implementation Checklist (B2B-Focused)

• Confirm KPIs and thresholds

• Map data and gaps

• Form cross-functional pod

• Select stack for scale and compliance

• Approve governance (EU AI Act, NIST RMF)

• Run pilots with KPI go/no-go

• Plan scale-up with budgets and monitoring

See related strategies in our AI development main guide.

AI Advisory Readiness Checklist

✔ Confirm business KPIs and success thresholds
Define clear success metrics such as retention, ARPDAU, LTV/CAC, or cost per support ticket.

✔ Map data sources and resolve quality gaps
Audit data pipelines, access controls, and reliability to ensure readiness for AI adoption.

✔ Form a cross-functional pod with decision rights
Include product, engineering, data science, compliance, and leadership stakeholders.

✔ Select secure, scalable technology stack
Choose platforms and tools that balance innovation with compliance and security.

✔ Approve governance policies (EU AI Act, NIST RMF)
Establish clear risk frameworks covering transparency, accountability, and fairness.

✔ Run a pilot with KPI-driven go/no-go criteria
Validate value creation before scaling, using predefined performance thresholds.

✔ Plan scale-up with budgets, SLOs, and monitoring
Prepare runbooks, monitoring, and cost visibility to ensure long-term sustainability.

FAQs

Q1: What are AI advisory services?
It align AI with business strategy, ensuring scalable, compliant adoption.

Q2: How do AI advisory services differ from hiring an AI development company?
dvisory sets strategy and governance. Development builds and integrates systems. Both often work together.

Q3: When should a business hire AI advisory services?
When scaling beyond pilots, facing governance demands, or lacking ROI clarity.

Q4: How much do AI advisory services cost?
Fees vary. Advisory covers strategy. Development (e.g., agents $5K–$50K+) is separate.

Q5: Why is AI advisory important for Web3 and gaming?
These sectors run live economies. Advisory ensures AI is ethical, scalable, and aligned with tokenomics and compliance.

Conclusion: The Business Case for AI Advisory

For B2B leaders in Web3 and gaming, AI advisory services are not optional. They will be the distinction between stalled pilots and scalable business transformation.

By combining governance, ROI clarity, and strategy alignment, AI advisory gives founders and executives the confidence to invest in AI with measurable returns.

Advisory also accelerates global scaling. TokenMinds UXLINK platform achieved 300% user growth and supported 1,000+ active communities through viral referral mechanics and multi-chain onboarding. With AI advisory, such growth engines can be optimized further using predictive analytics and adaptive engagement strategies.

Ready to align AI with your business goals?

Our AI advisory services help Web3, SaaS, and gaming leaders design governance, roadmaps, and ROI-driven AI adoption. Book your free consultation with TokenMinds today!