AI Governance Assessment
Map current AI use, risk exposure, data flows, vendors, and accountable owners.
Note Operational governance, not legal advice.
Practical AI governance, AI risk assessment, EU AI Act readiness, policies, controls, and evidence workflows for Georgian and international product teams.
Problem
Teams already use AI in customer flows, internal tools, vendor stacks, and content operations. Governance needs to become part of delivery, not a PDF on the side.
Services
Map current AI use, risk exposure, data flows, vendors, and accountable owners.
Turn policies into practical rules, review gates, ownership maps, and evidence standards.
Assess AI vendors, models, and embedded AI features before purchase or integration.
Give product, design, engineering, and operations teams shared language for responsible AI decisions.
Maintain AI inventory, controls, vendor reviews, and evidence packs as your product changes.
Differentiator
Controls are designed around how features, prompts, vendors, and release cycles actually work.
Every recommendation points to artifacts your team can maintain and show when asked.
Useful for Georgian companies selling into Europe, adopting AI internally, or preparing for enterprise procurement.
Process
The work starts small, then becomes a repeatable system your team can own.
Inventory AI use cases, vendors, data flows, and decisions.
Score risks, obligations, gaps, and urgency by workflow.
Create policies, controls, roles, and evidence templates.
Embed checkpoints into product, procurement, and delivery routines.
Review changes, refresh evidence, and keep governance alive.
What You Get
AI Governance OS
AI inventory, use-case intake, owner map, and risk-tiering rubric.
GenAI policy, human oversight checklist, approval workflow, and escalation path.
Evidence repository, dashboard, training log, and board-ready summary.
Pricing
Snapshot
from $2,500
Fast gap review for teams that need a clear starting point.
Book snapshotBuild
from $8,500
Policies, controls, templates, workflows, and implementation guidance.
Discuss scopeMaintain
from $3,000/mo
Monthly reviews, evidence upkeep, vendor checks, and team support.
Plan cadenceScope
Operational governance design, product controls, vendor review structure, team training, and evidence-ready templates.
Formal legal opinions, regulatory representation, certification audits, penetration testing, or model red-teaming.
Work can support legal, security, and compliance teams, but it does not replace qualified legal counsel.
Who It Is For
Example Outcomes
AI use is scattered across tools, vendors, experiments, and informal team habits.
AI use cases are owned, assessed, evidenced, and reviewed through a clear product rhythm.
Policies are too abstract for designers, PMs, engineers, and operators to apply.
Controls become checklists, release gates, review flows, and training moments.
About
This consultancy is built for teams who need pragmatic AI governance, not a binder of principles. It connects risk, user experience, delivery process, and operational evidence so governance becomes part of how the product is made.
FAQ
No. It is operational governance support. It can help legal teams move faster, but it does not replace legal counsel.
Most snapshots take 1-2 weeks depending on access to product, vendor, and workflow information.
Yes, by organizing use cases, evidence, risk ownership, literacy, and governance controls. Formal legal interpretation should sit with counsel.
Yes. The work is designed for teams in Georgia that are adopting AI internally, building AI-enabled products, or selling into EU and enterprise markets.
Start small. Leave with a system.
Get a clear view of your current AI use, governance gaps, and the practical next steps your product team can own.
Book an AI Governance Snapshot