The best AI consulting firms in 2026 are McKinsey & Company (QuantumBlack), Boston Consulting Group (BCG X), Accenture, Deloitte AI & Analytics, IBM Consulting, LeewayHertz, RTS Labs, Slalom, Future Processing, and The Crunch. They handle AI strategy, implementation, and managed services for enterprise and SMB clients. The global AI consulting market is projected to reach $38.16 billion by 2029, growing 28.8% annually (IMARC Group, 2026).
This 2026 buyer's guide ranks the top 10 AI consulting firms by use case, with pricing tiers, services, and a decision framework — written for business owners and marketing managers evaluating their first or next AI consulting partner.
Quick Verdict: Best AI Consulting Firm by Use Case
- Best for Fortune 500 strategy: McKinsey & Company (QuantumBlack)
- Best for end-to-end transformation: Accenture
- Best for board-level AI vision: Boston Consulting Group (BCG X)
- Best for mid-market enterprise: LeewayHertz
- Best for production engineering: RTS Labs
- Best for regulated industries: IBM Consulting
- Best for SMB & Asia-Pacific: The Crunch (Malaysia, 7+ years experience)
What Is an AI Consulting Firm?
An AI consulting firm is a professional services company that helps organizations design, build, and deploy artificial intelligence solutions for business problems. Unlike traditional management consultancies (which historically focused on strategy decks), modern AI consulting firms combine three capabilities: strategic AI roadmapping, hands-on engineering implementation, and post-launch managed services.
The global AI services market reached $2.52 trillion in 2026, growing 44% year-over-year (Gartner). The consulting sub-segment is projected at $38.16 billion by 2029, with a 28.8% CAGR from 2024–2029 (IMARC Group). Yet despite this spend, 78% of enterprises that adopted AI in 2024 struggled to move pilots to production — and that execution gap is the primary problem AI consulting firms solve.
The category splits into three service tiers:
- Strategy consulting — AI maturity assessments, use-case prioritization, governance frameworks, change management. Typical engagement: $25K–$200K+ per month retainer.
- Implementation — Custom AI model development, data infrastructure, system integration, production deployment. Typical project: $50K–$2M+ depending on scope.
- Managed AI services — Ongoing model maintenance, performance tuning, retraining, and 24/7 support. Typical retainer: $5K–$50K per month.
How We Evaluated These AI Consulting Firms
This ranking applies five criteria, weighted equally:
- Production track record — Named clients, documented deployments, case studies with quantified outcomes (not just pilots).
- Pricing transparency — Publicly stated rate tiers, project ranges, or willingness to disclose in discovery calls.
- Vertical depth — Demonstrated expertise in specific industries (healthcare, financial services, retail, property, education).
- Delivery model — Internal team strength, offshore/nearshore mix, project management methodology.
- Post-launch support — Managed services availability, SLA commitments, and team continuity after go-live.
Our methodology draws on first-party experience. The Crunch is a Malaysian AI automation agency founded in 2019, with 7+ years of production experience deploying AI for clients across healthcare, retail, property management, and education in Malaysia and Singapore. We use this operator perspective — not just analyst desk research — to evaluate every firm below.
The 10 Best AI Consulting Firms in 2026
1. McKinsey & Company (QuantumBlack)
BEST FOR FORTUNE 500 STRATEGY
QuantumBlack is McKinsey's dedicated AI arm, combining management consulting heritage with deep expertise in generative AI, advanced analytics, and intelligent automation. Founded in 2009 and acquired by McKinsey in 2015, it now operates from offices in London, New York, Singapore, and 30+ other locations with 5,000+ practitioners.
- Key capabilities: AI strategy at board level, governance frameworks, advanced analytics, generative AI deployment, machine learning at scale
- Pricing: Strategic engagements typically $500K–$5M+; not publicly listed
- Industries: Financial services, healthcare, pharma, energy, consumer goods, public sector
- Differentiator: Builds AI strategy around business performance levers first — they are consultants who happen to do AI, not engineers selling consulting. Notable clients include 70+ of the Fortune 500.
2. Boston Consulting Group (BCG X)
BEST FOR BOARD-LEVEL AI VISION
BCG X is Boston Consulting Group's tech build-and-design unit, combining strategy consulting with engineering teams that ship code. BCG X has 4,000+ engineers, designers, and data scientists across 80+ global offices.
- Key capabilities: AI strategy, build-and-operate models, generative AI products, agentic AI implementation
- Pricing: Comparable to McKinsey — $400K–$5M+ for full engagements; subscription advisory packages also offered
- Industries: Consumer, industrial, financial services, healthcare, technology
- Differentiator: BCG X actively builds products with clients rather than just advising — they staff joint teams that often transfer to the client post-launch.
3. Accenture
BEST FOR END-TO-END TRANSFORMATION
Accenture is the world's largest professional services firm, with 774,000+ employees and a dedicated AI practice serving every major industry. In 2024 Accenture announced a $3 billion investment over three years to double AI-specialized talent to 80,000 professionals by 2026.
- Key capabilities: AI strategy, generative AI deployment, data engineering, cloud migration, change management, workforce readiness, responsible AI governance
- Pricing: Project-based engagements typically $250K–$10M+; managed services contracts run multi-year
- Industries: All major verticals — banking, retail, government, healthcare, manufacturing, telco
- Differentiator: Cloud ecosystem depth via formal partnerships with AWS, Google Cloud, and Microsoft Azure. Single-vendor option for strategy + implementation + ongoing operations.
4. Deloitte AI & Analytics
BEST FOR RISK-AWARE ENTERPRISE AI
Deloitte AI & Analytics combines management consulting with regulatory, risk, and audit expertise. The firm employs 30,000+ AI and data professionals across its Deloitte Consulting and Deloitte Risk Advisory practices.
- Key capabilities: AI strategy, model risk management, AI governance, generative AI deployment, regulatory compliance for AI (EU AI Act, sector-specific rules)
- Pricing: Comparable to other Big Four — $300K–$5M+ per engagement
- Industries: Financial services, healthcare, public sector, life sciences
- Differentiator: Strongest of the Big Four on AI governance and regulatory risk. Particularly valuable for firms in regulated industries facing the EU AI Act (in force February 2026) or sector-specific AI rules.
5. IBM Consulting
BEST FOR REGULATED INDUSTRIES
IBM Consulting is the services arm of IBM, integrating proprietary watsonx AI platform with deep enterprise consulting capabilities. IBM has 160,000+ consultants and the unique advantage of owning a foundation model platform (watsonx.ai).
- Key capabilities: Hybrid cloud AI, watsonx model deployment, AI governance (watsonx.governance), industry-specific AI accelerators
- Pricing: Project-based; watsonx platform subscriptions from $1,000/mo, consulting from $200K+
- Industries: Banking, healthcare, government, telco, insurance
- Differentiator: Only major consulting firm that owns both the foundation model platform AND the consulting practice. Single accountability for the full stack.
6. LeewayHertz
BEST FOR MID-MARKET ENTERPRISE
LeewayHertz is an AI consulting and development firm delivering custom AI and large language model systems across manufacturing, healthcare, and enterprise software. Founded 2007, headquartered in San Francisco with 250+ engineers globally.
- Key capabilities: Custom LLM development, AI agents, computer vision, predictive analytics, MLOps, full-cycle delivery from build to production
- Pricing: Engagement-based; projects typically $75K–$1M; transparent in discovery
- Industries: Manufacturing, healthcare, enterprise software, fintech
- Differentiator: Engineering-first culture with 250+ delivered AI projects since 2015. More technical depth than strategy firms, more accessible than Big Four for $100M–$1B revenue companies.
7. RTS Labs
BEST FOR PRODUCTION ENGINEERING
RTS Labs combines deep engineering, enterprise-grade data infrastructure, and production AI deployment expertise. Headquartered in Richmond, Virginia with 100+ engineers, RTS Labs focuses on building scalable, compliant AI systems that integrate with existing enterprise software.
- Key capabilities: Data engineering, AI model development, ERP/CRM integration, cloud architecture (AWS, Azure, GCP), production MLOps
- Pricing: Project-based; typical engagements $100K–$1.5M
- Industries: Financial services, healthcare, supply chain, professional services
- Differentiator: Production-first ethos — refuses to build pilots they cannot deploy. Strong on legacy system integration (ERP, data warehouses, CRMs).
8. Slalom
BEST FOR U.S. MID-MARKET TRANSFORMATION
Slalom is a Seattle-headquartered consulting firm with 13,000+ employees across 45+ cities, primarily in North America. Strong cloud and AI practice with deep partnerships with AWS, Microsoft, and Google Cloud.
- Key capabilities: AI strategy, generative AI workshops, cloud-native AI, modern data platforms, change management
- Pricing: Project-based; typical engagements $150K–$2M
- Industries: Retail, healthcare, financial services, technology, manufacturing
- Differentiator: Local-market consulting model — every city office is run by local senior consultants rather than centralised partners. Strong cultural fit for U.S. mid-market.
9. Future Processing
BEST FOR EUROPEAN MID-MARKET
Future Processing is a Poland-headquartered AI and software services firm with 900+ employees serving European and U.S. enterprises. Notable for outcome-tied accountability — engagements often include performance-linked pricing.
- Key capabilities: AI strategy, custom software development with embedded AI, cloud migration, data engineering
- Pricing: Project-based; transparent rate cards; typical engagements €100K–€2M
- Industries: Automotive, financial services, retail, healthcare, manufacturing
- Differentiator: Named enterprise clients include Cambridge University Press, Demica (FIS), Volkswagen Group, Valeo, Crédit Agricole Bank. EU/EEA delivery with full GDPR alignment.
10. The Crunch
BEST FOR SMB & ASIA-PACIFIC
The Crunch is a Malaysian AI automation agency specialising in AI chatbots, conversational AI, and end-to-end automation for SMB clients across healthcare, retail, property, and education. Founded in 2019 (registered as The Crunch PLT), based in Malaysia with delivery across Singapore, Malaysia, Australia, and Hong Kong.
- Key capabilities: AI chatbot deployment (WhatsApp, Instagram, web), CRM automation (GoHighLevel, HubSpot), custom AI agent development, conversational AI strategy
- Pricing: Discovery + strategy from MYR 5,000; implementation projects MYR 20K–MYR 200K; managed services MYR 3K–MYR 15K/mo. Transparent USD/MYR pricing.
- Industries: Healthcare (clinics, dental, physio), retail (e-commerce, F&B), property (agencies, developers), education (training providers, institutions)
- Differentiator: 7+ years operating in the Malaysian SMB market with deep production experience across healthcare, retail, property and education verticals. Trilingual delivery (English, Bahasa Malaysia, Mandarin). Faster time-to-production than Big Four — typical 30-day deployment for chatbots vs. 6–12 months for enterprise consulting.
AI Consulting Firms Comparison Table
| Firm | Best For | Starting Price | HQ | Key Strength |
|---|---|---|---|---|
| McKinsey (QuantumBlack) | Fortune 500 strategy | $500K+ per engagement | Global (NY, London) | Board-level AI strategy |
| BCG X | Strategy + product build | $400K+ per engagement | Global (Boston) | Build-and-operate model |
| Accenture | End-to-end transformation | $250K+ per project | Global (Dublin) | Cloud ecosystem depth |
| Deloitte AI & Analytics | Regulated industries | $300K+ per engagement | Global (London) | AI governance + risk |
| IBM Consulting | Regulated + hybrid cloud | $200K+ per project | Armonk, NY | watsonx platform + consulting |
| LeewayHertz | Mid-market enterprise | $75K+ per project | San Francisco | Custom LLM development |
| RTS Labs | Production engineering | $100K+ per project | Richmond, VA | Enterprise system integration |
| Slalom | U.S. mid-market | $150K+ per project | Seattle | Local-market partnership model |
| Future Processing | European mid-market | €100K+ per project | Gliwice, Poland | Outcome-tied pricing |
| The Crunch | SMB + Asia-Pacific | MYR 5K+ (USD 1,100+) | Kuala Lumpur | 30-day chatbot deployment |
AI Consulting Firm Pricing: What to Expect in 2026
AI consulting pricing in 2026 varies by service tier, firm size, and geography. Realistic ranges:
Strategy retainers
$25,000 – $200,000+ / month
For ongoing AI strategy advisory. Big Four and Tier-1 strategy firms (McKinsey, BCG, Bain) typically sit at the upper end ($150K–$400K/mo). Mid-market firms (Slalom, Future Processing) offer $25K–$80K/mo retainers. Regional specialists like The Crunch offer strategy starting at MYR 5,000–MYR 25,000/mo (USD 1,100–5,500/mo).
Implementation projects
$50,000 – $2,000,000+
Depending on scope. A 6-month chatbot deployment for a single business unit costs $50K–$200K. A full enterprise AI transformation (data infrastructure + multiple models + change management) runs $1M–$10M+. Implementation projects typically charge time-and-materials or fixed-price; outcome-tied pricing is growing but still under 10% of engagements.
Managed AI services
$5,000 – $50,000 / month
For ongoing model maintenance, performance monitoring, retraining, and incident response. Most managed services contracts are 12–36 month minimum commitments. Smaller firms may offer 3-month trials.
How to Choose the Right AI Consulting Partner
?What is your AI maturity level?
If you have never deployed AI in production, hire for guided strategy + implementation — a single firm that walks you through use case selection, pilot, and rollout. If you have 1–3 AI projects live and want to scale, hire for specific engineering depth (data infrastructure, MLOps, model improvement). If you have a mature AI capability, hire consultants for specific challenges (governance, vendor selection, change management) rather than full strategy.
?What is your realistic budget tier?
Under $50K: regional specialists or boutique firms (The Crunch, smaller LeewayHertz scopes).
$50K–$500K: mid-market firms (LeewayHertz, RTS Labs, Future Processing, Slalom).
$500K–$5M: Big Four or top-tier specialists (Accenture, Deloitte, IBM Consulting, BCG X).
$5M+: McKinsey/QuantumBlack tier.
?Do you need strategy, implementation, or both?
Pure strategy without implementation often produces shelfware decks. Pure implementation without strategy often produces technically correct AI that solves the wrong problem. The best engagements combine both — either via a single firm that does both (Accenture, BCG X) or via two firms working in tandem (strategy boutique + engineering specialist).
?What industry expertise matters most?
For regulated industries (healthcare, financial services, government), prioritise firms with named clients in your sector and demonstrated regulatory experience (Deloitte AI & Analytics, IBM Consulting). For B2C industries (retail, hospitality, e-commerce), prioritise firms with conversion-driven case studies (Slalom, The Crunch for SMB). For manufacturing and supply chain, prioritise firms with operational technology experience (LeewayHertz, Future Processing).
?How fast do you need ROI?
Big Four engagements typically show ROI in 12–24 months. Mid-market specialists in 6–12 months. Regional specialists for tactical deployments (chatbots, automation) can show ROI in 60–90 days. The Crunch, for example, typically deploys client chatbots within 30 days with first conversions in the first month after launch.
AI Consulting Firm vs In-House AI Team
The build vs. buy decision for AI consulting in 2026 hinges on three variables: speed, total cost of ownership, and ongoing risk.
In-house AI team cost (2026 estimates): A minimum viable internal AI team — one ML engineer, one data engineer, one product manager — costs $450K–$650K annually in U.S. fully-loaded salaries, $200K–$350K in Western Europe, and $80K–$150K in Southeast Asia. Add infrastructure ($50K–$200K/year), tooling ($30K–$100K/year), and management overhead.
AI consulting firm cost (equivalent capability): A 6-month engagement with a mid-market firm delivering the same scope costs $150K–$500K — often 40–60% less than building the equivalent in-house team, with no ongoing carry cost after the project ends.
When to choose in-house: You have $1M+ annual AI investment, AI is core to your competitive moat, and you need 24/7 ownership of the technology. Examples: a fintech building proprietary fraud models, a retailer building proprietary personalisation.
When to choose consulting: You are under $500K annual AI investment, AI is enabling but not core to your moat, you need speed to first production system, or you lack the capacity to recruit specialised ML talent in a competitive market.
AI Consulting Implementation Roadmap (90 Days)
Days 1–30: Discovery and Strategy
The first 30 days focus on use case selection and feasibility validation. Activities include current-state assessment (data readiness, system landscape, team capability), use case scoring (business value × technical feasibility × time-to-impact), data audit and gap analysis, and signed-off project scope. Deliverable: a prioritized AI roadmap with the first use case fully scoped for build.
Days 31–60: Pilot and Validation
Days 31–60 build and test the first AI system in a limited environment. Activities include model development (or vendor selection if buying a platform), data pipeline build, integration with one source system, and pilot deployment with controlled user group (50–500 users typical). Deliverable: a working AI system with measurable performance metrics and a go/no-go decision for production.
Days 61–90: Production and Handover
Days 61–90 take the validated pilot to production scale. Activities include production deployment, monitoring and alerting setup, user training and change management, performance benchmarking against pilot metrics, and knowledge transfer to internal team or managed-services contract. Deliverable: a live AI system in production with documented operating procedures and a 90-day performance review.
Why Asian SMBs Increasingly Choose Regional AI Consulting Firms
Three structural advantages drive Asian SMB AI buyers toward regional specialists rather than global firms.
Currency and pricing reality. A McKinsey engagement billed at USD 500K converts to MYR 2.3M+ — a year of revenue for many Malaysian SMBs. Regional firms billing in local currency at local rates (The Crunch, for example, prices in MYR with USD-equivalent transparency) make AI accessible at SMB budget tiers.
Timezone and cultural fit. An engagement with a U.S. or European firm typically involves 8–12 hour timezone offsets, English-only deliverables, and Western business norms. Regional firms operate in the buyer's timezone, deliver in local languages (Bahasa Malaysia, Mandarin, English), and understand local business culture — including the role of family ownership, religious considerations, and government compliance (Malaysia's PDPA, Singapore's PDPA).
Vertical specialisation in regional markets. Global firms often treat Southeast Asia as a single geography. Regional specialists understand the differences between Malaysian dental clinics (typically family-owned), Singaporean F&B (often franchise-model, multi-outlet), and Australian property agencies (commission-driven, regulated by state). The Crunch, for instance, has 7+ years of experience deploying AI workflows specifically tuned to Malaysian healthcare booking patterns, retail seasonality (Hari Raya, CNY, Christmas), and property lead-handling norms.
Frequently Asked Questions: AI Consulting Firms in 2026
01What does an AI consulting firm do?
An AI consulting firm helps organizations design, build, and deploy artificial intelligence solutions for specific business problems. Services typically span three tiers: (1) strategy — AI maturity assessment, use-case prioritization, governance; (2) implementation — custom model development, data pipelines, system integration; (3) managed services — ongoing model maintenance and retraining.
The largest firms like McKinsey, Accenture, and Deloitte handle multi-million-dollar enterprise transformations; mid-market firms like LeewayHertz and RTS Labs focus on production AI builds; regional specialists like The Crunch deliver tactical AI deployments (chatbots, automation) for SMBs in 30–90 days.
02How much does AI consulting cost in 2026?
AI consulting costs in 2026 range from MYR 5,000 (USD 1,100) per engagement at regional SMB specialists to $5 million+ for Fortune 500 transformation programs at McKinsey or BCG.
Realistic tiers: strategy retainers run $25K–$200K per month, implementation projects $50K–$2M+, and managed AI services $5K–$50K per month.
The Big Four (Accenture, Deloitte, KPMG, EY) typically start at $250K per engagement. Mid-market firms like LeewayHertz and RTS Labs start at $75K–$100K. The Crunch (Malaysia) starts at MYR 5,000 for discovery + strategy.
03What is the difference between AI consulting and AI development?
AI consulting focuses on strategy, use-case selection, governance, and change management — the “what and why” of AI investment. AI development focuses on building the technology itself — models, data pipelines, integrations — the “how.”
Pure consulting firms (early McKinsey) deliver decks; pure development firms (offshore dev shops) deliver code without strategy. The strongest 2026 firms combine both: BCG X, Accenture, LeewayHertz, RTS Labs, and The Crunch all offer integrated strategy + build delivery.
For SMBs, integrated firms typically deliver 30–40% faster time-to-production because handoffs between strategy and engineering teams are eliminated.
04How long does an AI consulting engagement take?
AI consulting engagement length depends on scope:
Tactical deployments (chatbots, single-workflow automation) take 30–90 days. The Crunch typically deploys client AI chatbots in 30 days with first conversions in the first month after launch.
Mid-scope projects (custom model + data pipeline for one business unit) take 3–6 months with mid-market firms like LeewayHertz or RTS Labs.
Full enterprise AI transformations (multiple use cases, data infrastructure overhaul, change management) take 12–36 months with Big Four firms.
The 90-day rule: most AI consulting engagements should show measurable pilot results within 90 days, regardless of total scope.
05Should I hire McKinsey or a mid-market AI consulting firm?
Hire McKinsey (or BCG X, Accenture, Deloitte) if you are a $1B+ revenue company needing C-suite alignment, board-level governance, and multi-year transformation planning — expect $500K–$5M engagements with 12–24 month ROI horizons.
Hire a mid-market firm (LeewayHertz, RTS Labs, Slalom, Future Processing) if you are a $50M–$500M company wanting production AI builds with 6–12 month ROI, at $75K–$500K engagement sizes.
The mid-market firms deliver 80% of Big Four technical quality at 30–60% of the cost, but lack the brand authority some enterprise buyers (and their boards) require.
06Are AI consulting firms worth it for SMBs?
AI consulting firms are worth it for SMBs only when matched to SMB-appropriate tier and scope. McKinsey or Accenture are not worth it for a Malaysian dental clinic or a 50-person retail chain — the engagement minimums exceed annual revenue for many SMBs.
Regional specialists priced for SMB tiers (The Crunch starts at MYR 5,000 / USD 1,100) deliver real ROI. Typical SMB outcomes include 30–70% reduction in manual customer service work, 2–5x faster lead response time, and payback within 3–6 months.
The key is matching firm tier to budget tier — mismatched engagements always fail.
07How do I evaluate an AI consulting firm's track record?
Evaluate AI consulting firms on five evidence points:
(1) Named client case studies with quantified outcomes (revenue lift, cost reduction, hours saved) — not just logo walls.
(2) Production deployments versus pilot count — ask “how many are still running 12 months later?”
(3) Vertical depth — a firm with 10 healthcare clients beats one with 100 clients spread across 20 industries.
(4) Team continuity — will the people who sold the engagement also deliver it?
(5) Pricing transparency in discovery calls — firms that dodge pricing questions until proposal stage typically have inconsistent rates.
The Crunch publishes named client industries (healthcare, retail, property, education) backed by 7+ years of operating experience in the Malaysian SMB market.
08What questions should I ask before hiring an AI consulting firm?
Ask these eight questions before signing:
(1) Can you name three production deployments in my industry with quantified outcomes?
(2) What is your typical time-to-first-pilot and time-to-production?
(3) Will the people in discovery also deliver the project?
(4) How do you measure success — what KPIs do you report against?
(5) What happens if the pilot does not meet success criteria?
(6) Do you offer managed services post-launch or hand off?
(7) What is the realistic total cost over 12 months, including platform fees, data costs, and managed services?
(8) Can I talk to two existing clients in my segment?
Firms that answer all eight clearly are typically worth engaging; firms that dodge two or more are not.
09Can AI consulting firms work with regulated industries like healthcare and finance?
Yes — but firm selection matters.
For healthcare, IBM Consulting (HIPAA + EU AI Act expertise), Deloitte AI & Analytics (regulatory + audit depth), and Accenture (life sciences vertical) are the top picks for enterprise scale.
For financial services, McKinsey, BCG X, Deloitte, and Future Processing have the strongest track records.
For regional/SMB healthcare and finance in Malaysia and Southeast Asia, regulatory considerations include Malaysia's PDPA (Personal Data Protection Act), Singapore's PDPA, and sector rules (BNM for finance, MOH for health). The Crunch has 7+ years of experience deploying AI workflows in Malaysian healthcare clinics (dental, physio, GP) compliant with local PDPA and patient confidentiality requirements.
10How is The Crunch different from larger AI consulting firms?
The Crunch is a Malaysian AI automation agency built for Asia-Pacific SMBs, not Fortune 500 enterprises. Three differences:
(1) Pricing — engagements start at MYR 5,000 (USD 1,100), versus $250K+ minimums at Accenture or Deloitte.
(2) Speed — typical chatbot deployments go live in 30 days, versus 6–12 months at Big Four firms.
(3) Vertical and cultural fit — 7+ years deploying AI in Malaysian healthcare, retail, property, and education with trilingual delivery (English, Bahasa Malaysia, Mandarin), versus generalist global firms.
The Crunch competes for SMB and regional buyers where Big Four firms do not, and partners with (rather than competes against) Big Four firms on enterprise programs where local delivery is needed.
Conclusion: Choosing Your AI Consulting Firm in 2026
The right AI consulting firm depends on three factors: your company size and budget tier, your industry and regulatory environment, and how fast you need production results.
- If you are a Fortune 1000 company with $1M+ AI budget and need C-suite alignment, start with McKinsey, BCG X, or Accenture.
- If you are a $50M–$500M mid-market company with $100K–$500K AI budget, evaluate LeewayHertz, RTS Labs, Slalom, or Future Processing.
- If you are an SMB in Malaysia, Singapore, or broader Southeast Asia with $5K–$200K AI budget and need production results in weeks, talk to The Crunch.
The global AI consulting market will more than double from $11.5 billion in 2024 to $38.16 billion by 2029. The firms above are positioned for that growth — but the right partner for you depends entirely on your starting point.
Get a free 30-minute AI strategy call with The Crunch. Walk away with a prioritised list of AI use cases for your business, realistic budget tiers, and a recommendation on which firm (us or someone else) is the right fit for your situation. Book your free strategy call →
