03 / Creative technology
Turing Arte
The group’s creative and experimental technology practice. Distinct from advisory and production sales.
Group studio
Paid strategic AI advisory only
Pressure-test the architecture, vendor plan, RAG workflow, agentic rollout, or privacy posture before six figures disappear into the wrong assumption.
20+
years building and reviewing production systems
4
high-risk decision areas pressure-tested
US/EU
cross-border operating perspective
Advisory cockpit
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
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.
01 / Advisory
Paid architecture review, production risk audits, and senior strategic judgment.
See services and pricing →
02 / Builds
The production engineering arm for agents, RAG, integrations, and custom platforms.
Explore production builds ↗
03 / Creative technology
The group’s creative and experimental technology practice. Distinct from advisory and production sales.
Group studio
Services / packages
Choose the level of scrutiny your AI decision needs: from a focused diagnostic call to a full production audit or ongoing fractional advisory.
30 minutes – $250 · 60 minutes – $500
Quick, high-impact call to identify the biggest risks in your AI project.
View scope and request →$2,500 – $4,000
In-depth review of your current AI architecture + written report + 60-minute debrief. One-week turnaround.
View scope and request →$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 →$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
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
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.
A blunt review of your proposed AI system, RAG workflow, vendor plan, or architecture before you fund the wrong thing.
Identify reliability, privacy, observability, access-control, evaluation, and operational risks that usually appear after launch.
Practical guidance for US companies navigating European privacy expectations, data transfer choices, and remote operations reality.
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?
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.
Field notes / insights
AI Reality Checks
What I tell consulting clients before they spend months blaming the model for retrieval, permissions, and content-quality failures.
5 min read · Book a consultation if this sounds familiar →
AI Reality Checks
Agentic workflows can be useful, but only when the boring control plane exists first.
4 min read · Book a consultation if this sounds familiar →
Production AI
The model matters, but the system around it usually decides whether the project survives contact with reality.
6 min read · Book a consultation if this sounds familiar →
The European Angle
What US companies routinely underestimate about GDPR, data transfers, vendor choices, and operational reality.
5 min read · Book a consultation if this sounds familiar →
Operator Notes
The operating rhythm behind Hive AI: a US company, direct senior access, and focused strategic advisory.
3 min read · Book a consultation if this sounds familiar →
Production AI
A short diligence checklist for leaders who do not want to buy a shiny demo and inherit a maintenance grenade.
4 min read · Book a consultation if this sounds familiar →
Proof from the trenches
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
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.
Send the context around the architecture, audit, RAG workflow, agent rollout, vendor proposal, roadmap, or privacy question.
The intake is reviewed for the best advisory path: focused consultation, architecture review, production audit, or custom strategic scope.
Walk away with clearer risks, sharper questions, and practical next steps before budget, reputation, or customer trust is on the line.
Best fit
Consultation intake
Use this intake for architecture reviews, production AI audits, RAG and agentic workflow reviews, vendor diligence, privacy questions, and strategic AI decisions.
Consultation focus areas