Vendor-neutral AI advisory

AI Strategy Consulting

Cut Through the AI Hype

Every AI vendor says you need their solution. We help you figure out what you actually need—and whether you need AI at all. Unbiased assessment, honest recommendations.

No vendor commissions50+ platforms assessedHonest recommendations
0+

AI Assessments

Platforms evaluated

0%

Avoid Wrong Vendors

Through our guidance

0K+

Avg. Savings

Per engagement

0x

Faster Decisions

With clear roadmaps

COSTLY ERRORS

AI Mistakes We Help You Avoid

We've seen platforms waste months and significant budget on AI decisions made without proper guidance

Common Mistakes

What goes wrong without guidance

Buying enterprise AI solutions for startup-scale problems
Overspend
Building custom ML when off-the-shelf works fine
3-6 months lost
Choosing AI vendors based on demos, not your data
Integration failures
Underestimating data requirements for personalization
Poor results
Over-automating customer support too early
User trust damage
Ignoring privacy/compliance in AI implementation
Legal exposure

What We Provide

Unbiased guidance

Unbiased assessment of AI opportunities for your platform
Vendor evaluation and recommendations (we don't sell tools)
Build vs buy analysis with honest cost projections
Data readiness assessment
Implementation roadmap and sequencing
RFP preparation for AI vendors

EVALUATION AREAS

AI Opportunities We Assess

We help you understand what's possible, what's practical, and what's right for your platform

High Impact

Intelligent Matching

Understand how ML algorithms can connect buyers with sellers beyond keyword matching—and whether your platform needs it.

What we assess:

Is your matching problem complex enough for AI?
What data do you have to train models?
Build vs buy decision framework
Vendor landscape and recommendations

Upwork and Thumbtack use AI matching—but not every platform needs it. We help you decide.

Quick Win

Semantic Search

Evaluate whether NLP-powered search will improve your discovery experience—and which solutions fit your scale.

What we assess:

Current search performance gaps
User intent complexity analysis
Solution options (Algolia, Elasticsearch, custom)
Implementation complexity vs ROI

25% higher order values reported—but implementation costs vary 10x between solutions.

Scale Dependent

Personalization Engines

Assess whether personalized feeds and recommendations are worth the investment for your user base.

What we assess:

User volume thresholds for ROI
Data availability and quality
Privacy/compliance implications
Build vs integrate decision

Amazon-style personalization requires significant data. We help you know if you're ready.

Efficiency

AI Content Generation

Evaluate AI-assisted listing creation—from GPT integrations to specialized tools—and their fit for your platform.

What we assess:

Listing creation friction analysis
Quality vs automation tradeoffs
Brand voice and consistency concerns
Tool recommendations by use case

Poshmark reports 48% faster listings—but AI-generated content isn't right for every vertical.

Critical

Trust & Safety AI

Understand the landscape of fraud detection, review authenticity, and trust systems for marketplaces.

What we assess:

Current fraud exposure and costs
Detection vs prevention strategies
Vendor evaluation (Sift, Stripe Radar, etc.)
Build vs buy for your scale

Uber uses sophisticated AI for fraud—but smaller platforms often overbuy. We right-size recommendations.

Operations

Operational Automation

Assess AI chatbots, automated support, and workflow automation opportunities for your operations.

What we assess:

Support ticket analysis
Automation opportunity mapping
Chatbot platform evaluation
Human-AI handoff design

70% of queries can be automated—but poor implementation hurts more than helps.

Strategic

AI-Native Architecture

Assess whether your marketplace could exist without AI. VCs now require an AI-native story for funding. We help you design platforms where AI is foundational, not bolted on.

What we assess:

Could this marketplace exist without AI?
What becomes possible only because AI handles the complexity?
How to frame AI-native positioning for investors
Architecture patterns for foundational AI integration

NFX and top VCs are shifting away from traditional marketplace models. An AI-native story is now table stakes for Series A+ funding.

Defensive

Disintermediation Prevention

Evaluate your marketplace against the three-layer disintermediation framework. We design AI-resilient architectures with proprietary data moats and embedded workflows.

What we assess:

Information vs transaction vs trust layer vulnerability
Proprietary data moat opportunities
Embedded workflow stickiness
Defense against AI discovery agents

AI makes it easier for competitors to scrape and replicate. Platforms that embed into supplier workflows and own transaction trust are the ones that survive.

Future-Proof

Build for LLM Improvement

Audit whether your AI features improve automatically as foundation models get better. The right architecture means every GPT or Claude upgrade is a free product improvement.

What we assess:

Foundation model API usage vs custom ML pipelines
Which features auto-improve with better models
Retraining cost and maintenance burden
Evaluation infrastructure for tracking improvements

Micro1's CEO test: 'If you pause all development and watch LLMs improve, will your marketplace improve?' We help you pass that test.

WHAT WE DELIVER

Our Consulting Capabilities

Click any category to explore exactly what you get from our AI consulting

Opportunity Assessment

  • AI readiness evaluation
  • Use case prioritization
  • Data quality analysis
  • ROI projection modeling
Click to see details →

Vendor Evaluation

  • Solution landscape mapping
  • Vendor comparison matrix
  • Proof of concept design
  • Contract negotiation guidance
Click to see details →

Strategic Roadmap

  • Phased implementation plan
  • Resource requirements
  • Risk mitigation strategies
  • Success metrics definition
Click to see details →

AI-Native & Defensibility

  • AI-native architecture assessment
  • Disintermediation risk analysis
  • LLM improvement architecture
  • Investor-ready AI positioning
Click to see details →

Implementation Guidance

  • Technical requirements specs
  • Team capability assessment
  • Partner/vendor selection
  • Handoff to implementation
Click to see details →

CASE STUDIES

Consulting Outcomes

Real platforms we've advised—real savings, real clarity

B2B Wholesale Marketplace

The Challenge

Evaluating 5 different AI matching vendors with no clear winner. Decision paralysis for 4 months.

What We Did

Conducted structured vendor evaluation, designed POC criteria, delivered decision framework.

Outcome

Selected right vendor in 3 weeks. Saved months of internal debate and wrong turns.

"They cut through the noise. We finally had clarity on what we actually needed."

— CTO, B2B Platform

Local Services Directory

The Challenge

Dev team wanted to build custom AI search from scratch. 6-month estimate, unclear ROI.

What We Did

Assessed actual requirements. Recommended Algolia with custom ranking—much faster to implement.

Outcome

Launched AI search in 4 weeks. Saved 5 months of dev time and got better results.

"We almost built something we didn't need. Their assessment saved us from ourselves."

— Founder, Services Directory

Rental Marketplace

The Challenge

AI vendors pitching expensive personalization for a platform with only 5,000 MAU.

What We Did

Analyzed user volume and data. Recommended simpler rule-based system now, AI roadmap for later.

Outcome

Avoided premature AI spend. Clear trigger points for when to revisit.

"They told us NOT to buy AI yet. That honesty is rare."

— CEO, Rental Platform

OUR PROCESS

How We Work

From discovery to actionable recommendations—a focused consulting process

1

Discovery

Understand your platform, users, data, and business goals. Identify where AI could have impact.

2

Assessment

Analyze AI opportunities against your reality—budget, timeline, team capabilities, data readiness.

3

Recommendations

Deliver clear, prioritized recommendations with honest tradeoffs and next steps.

4

Handoff

Transition to implementation—whether your team, our development services, or a recommended vendor.

GET STARTED

AI Consulting Engagements

Every AI transformation starts with understanding your platform. We scope custom engagements based on your readiness and goals.

AI Opportunity Audit

1 week
Custom-scoped engagement

Quick assessment of AI opportunities for your platform with prioritized recommendations.

Deliverables:

  • AI opportunity matrix
  • Data readiness snapshot
  • Build vs buy guidance
  • Prioritized recommendation report
  • 60-minute strategy call

Best for:

Exploring AI options
Budget planning
Quick clarity
Get Started
Most Popular

Vendor Selection

2–3 weeks
Custom-scoped engagement

Deep evaluation of AI vendors/solutions for a specific use case with POC guidance.

Deliverables:

  • Vendor landscape analysis
  • Shortlist with comparison matrix
  • POC design and evaluation criteria
  • Contract review guidance
  • Final recommendation report

Best for:

Ready to implement
Comparing vendors
De-risking selection
Get Started

AI Strategy Roadmap

3–4 weeks
Custom-scoped engagement

Complete AI transformation strategy with phased implementation plan.

Deliverables:

  • Full opportunity assessment
  • Multi-year AI roadmap
  • Vendor recommendations per phase
  • Team/resource planning
  • Investment projections
  • Monthly check-in calls (3 months)

Best for:

Strategic planning
Series A+ fundraising
Board-level strategy
Get Started

GUARANTEES

Our Commitments

What we promise when you work with us

Vendor-Neutral

No commissions, no partnerships. Our only loyalty is to your success.

Actionable Output

Clear recommendations you can act on—not vague strategy decks.

Honest Cost Projections

Realistic budgets based on real implementations, not vendor optimism.

Marketplace Expertise

50+ platform assessments. We know what works at your scale.

QUESTIONS ANSWERED

AI Consulting FAQs

Common questions about our AI advisory services

No. We're completely independent. We don't resell AI products or take referral fees from vendors. Our only incentive is giving you the right advice. If we recommend a vendor, it's because they're genuinely the best fit—not because we profit from it.
We can help in three ways: (1) Hand off to your internal team with detailed specs, (2) Recommend implementation partners we trust, or (3) Build it ourselves through our development services. We'll recommend whatever makes most sense for your situation.
Yes. VCs like NFX are shifting away from traditional marketplace models. We help you articulate what becomes possible only because AI handles the matching, ingestion, or operational complexity. This goes beyond adding AI features to your roadmap. We assess your architecture, identify where AI is foundational versus cosmetic, and build the narrative that gets Series A+ checks signed.
Vendors will always recommend their own solutions. We evaluate the full landscape objectively—including whether you need AI at all. We've helped clients avoid months of wasted effort by choosing simpler solutions vendors wouldn't have suggested.

Need Clarity on AI for Your Platform?

Book a free 30-minute discovery call. We'll discuss your AI questions and whether our consulting can help you make better decisions.

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