Paid strategic AI advisory only

Senior AI judgment before the spend becomes irreversible.

Pressure-test the architecture, vendor plan, RAG workflow, agentic rollout, or privacy posture before six figures disappear into the wrong assumption.

ArchitectureRetrievalGovernanceVendor risk

20+

years building and reviewing production systems

4

high-risk decision areas pressure-tested

US/EU

cross-border operating perspective

Advisory cockpit

Find the failure mode before production does.

Live review

Data boundaries

Mapped before retrieval

Agent permissions

Approval path required

Vendor claims

Evidence requested

Founder profile

American senior AI engineer, US corporation, and 20+ years of full-stack and production AI scars.

Hive AI Group

One group. Three distinct jobs.

Hive AI is both the group headquarters and the independent advisory desk. Strategy and production remain separate engagements so advice never becomes a disguised build pitch.

Since 2019Miami Beach HQUS corporationUS / EU advisory

Services / packages

Consultation Packages

Choose the level of scrutiny your AI decision needs: from a focused diagnostic call to a full production audit or ongoing fractional advisory.

Request a time
Fastest path

Diagnostic Call

30 minutes – $250 · 60 minutes – $500

Quick, high-impact call to identify the biggest risks in your AI project.

View scope and request →
Written report

Architecture Review

$2,500 – $4,000

In-depth review of your current AI architecture + written report + 60-minute debrief. One-week turnaround.

View scope and request →
Full audit

Production Readiness Audit

$7,500 – $10,000

Full audit of your RAG, agents, or private AI systems with concrete recommendations and roadmap. Includes two calls.

View scope and request →
Monthly advisory

Fractional AI Advisor

$8,000 – $15,000 per month (8–12 hours)

Ongoing strategic advisory for teams that need consistent guidance.

View scope and request →

The reality check

Most AI projects waste money because nobody says the quiet part early enough.

What I tell my consulting clients: the model is rarely the whole problem. The expensive failures usually hide in permissions, data quality, retrieval design, evaluation, vendor lock-in, and operational ownership.

RAG pipelines that retrieve the wrong document with total confidence.

Agents that can take actions but have no approval model, cost control, or audit trail.

Private AI plans that ignore data residency, identity, logging, and vendor subprocessors.

Executive roadmaps where every hard production question is postponed until after budget approval.

What I do

Paid advisory for serious AI decisions.

I help founders, executives, and technical leaders pressure-test AI plans before they turn into expensive messes. You get direct senior judgment, written takeaways where useful, and clear next decisions for your internal team or chosen vendor.

AI Reality Check / Architecture Review

A blunt review of your proposed AI system, RAG workflow, vendor plan, or architecture before you fund the wrong thing.

Production Readiness & Risk Audit

Identify reliability, privacy, observability, access-control, evaluation, and operational risks that usually appear after launch.

European Data Privacy & Cross-Border AI Advisory

Practical guidance for US companies navigating European privacy expectations, data transfer choices, and remote operations reality.

Custom-Scoped Strategic Advisory

Focused advisory for leadership teams that need senior AI judgment, vendor diligence, roadmap pressure-testing, or board-level clarity.

Focused outcomes:

Clearer architecture choices, sharper vendor questions, practical risk visibility, and a decision path your leadership and technical teams can act on.

Need a software team?

Custom software builds belong at Hive Forensics.

Hive AI is dedicated to independent AI strategy and technical review. For custom software development, AI application builds, web platforms, product engineering, integrations, or other software jobs, work with our implementation company at HiveForensics.com.

Build with Hive Forensics →

Field notes / insights

What I tell consulting clients before money gets lit on fire.

View all insights

Proof from the trenches

Twenty years of scars beat a hundred hype decks.

I came up through full-stack software and production AI work: private and on-prem deployments, RAG systems, agentic workflows, backend infrastructure, and the unglamorous operational details that decide whether AI helps or humiliates you.

Hive AI is deliberately focused on senior advisory: review the plan, pressure-test the architecture, call out brittle assumptions, and turn vague AI ambition into better decisions.

Paid consultations and strategic advisory for AI architecture, production readiness, RAG reality checks, and cross-border AI risk.

Meet Hive AI Group →

US / European AI decisions

Cross-border AI plans need engineering restraint, not another compliance slide.

US AI companies routinely underestimate the friction created when European privacy expectations, cross-border data flows, vendor contracts, and ambitious product plans collide.

That vantage point makes the consultations sharper: American urgency, European caution, and enough engineering scar tissue to know when both sides are being ridiculous.

AI advisory booking

Book a serious AI review before the decision gets expensive.

Use this intake for the advisory work covered across the site: AI architecture reviews, production audits, RAG and agentic workflow reviews, vendor diligence, privacy posture, roadmap pressure-testing, and executive AI strategy.

01

Share the AI decision

Send the context around the architecture, audit, RAG workflow, agent rollout, vendor proposal, roadmap, or privacy question.

02

Get routed to the right review

The intake is reviewed for the best advisory path: focused consultation, architecture review, production audit, or custom strategic scope.

03

Pressure-test the plan

Walk away with clearer risks, sharper questions, and practical next steps before budget, reputation, or customer trust is on the line.

Best fit

  • Architecture, implementation, vendor, and roadmap assumptions challenged before commitment.
  • Production-readiness risks surfaced across retrieval, permissions, evals, observability, privacy, and operations.
  • Strategic AI decisions translated into practical engineering and business tradeoffs leadership can act on.

Consultation intake

Request an AI advisory consultation

Use this intake for architecture reviews, production AI audits, RAG and agentic workflow reviews, vendor diligence, privacy questions, and strategic AI decisions.

Senior AI advisory
Architecture reviews
Production AI audits
Strategy advisory

Consultation focus areas

AI architectureProduction readinessRAG / retrieval qualityAgentic workflowsVendor diligencePrivacy and governance
01 · Contact
02 · Decision profile
03 · Preferred consultation time

Pick a preferred date and time. I will confirm availability or propose the closest open slot in your timezone.

04 · Review context

You will receive a reply with calendar confirmation, fit, and recommended next steps for the review.