AI regulation is no longer theoretical. The EU AI Act phases in through 2026, with a major milestone on August 2, 2026 and penalties for high-risk violations reaching up to 7% of global revenue, and the Colorado AI Act takes effect in 2026. We inventory the AI systems you run, classify each one against the rules that apply to you, and produce the documentation, audit trails, and remediation plan a regulator, customer, or partner can actually ask for. We are not a law firm; we do the technical and operational readiness alongside your counsel.
Get ready for the EU AI Act (Aug 2, 2026) and Colorado AI Act. We inventory and classify your AI systems, document the gaps, and build the audit trail and remediation plan.
AI compliance readiness is the work of inventorying the AI systems an organization uses, classifying each against the regulations that apply (such as the EU AI Act or Colorado AI Act), and producing the documentation, risk assessments, and audit trails those rules require, before a deadline or an audit forces it. It is technical and operational work that runs alongside legal counsel, not a substitute for legal advice.
AI compliance readiness is the technical and operational work of inventorying the AI systems you run, classifying each against rules like the EU AI Act or Colorado AI Act, and producing the documentation, risk assessments, and audit trails they require. Thinklytics does this work alongside your counsel before a deadline or audit forces it. We are not a law firm.
A readiness assessment that inventories every AI system you run and classifies it against the EU AI Act, the Colorado AI Act, or the framework you are held to.
A documented gap analysis and a prioritized remediation plan, scoped to the deadline that applies to you.
Mapped to NIST AI RMF and ISO 42001, so one body of work counts toward more than one obligation.
Legal advice. We are not a law firm; we do the technical and operational readiness and work alongside your counsel, who owns the legal interpretation.
A compliance binder nobody reads. The output is built into how your AI is governed and operated.
A blocker. Readiness is built so AI can scale safely, not so it stops.
A one-time document. You keep a model you can update as systems and rules change.
An inventory of every AI and analytics system in use, with owners and data sources.
A risk classification of each system against the EU AI Act tiers, the Colorado AI Act, NIST AI RMF, or ISO 42001 as applicable.
A documented gap analysis against the obligations and the deadline that apply to you.
A prioritized remediation roadmap with effort and sequencing, plus the audit-trail and documentation templates to close the gaps.
Reconciliation labor eliminated by unifying 14 metric definitions. The governed audit trail and ownership model regulators and AI both require.
Member match accuracy after entity resolution and documented lineage. The traceability that makes AI auditable.
Migration avoided by rationalizing 4,380 Tableau workbooks into a governed foundation, the defensible source compliance reporting reads from.
No audit trail or logging was built in, so there is nothing to show an examiner, customer, or regulator.
No one has inventoried and classified the systems against the regulation's risk tiers.
Compliance was treated as a document exercise, not built into how the AI is governed and operated.
A customer or partner is asking for our AI governance documentation.
The policies, model records, and risk assessments do not exist in a form you can hand over.
It can. If you provide or deploy AI systems used in the EU, or whose output is used there, the EU AI Act may apply regardless of where your company is based. The safe first step is to inventory and classify your AI systems against the regulation's risk tiers, then confirm applicability with counsel.
The EU AI Act's obligations phase in through 2026, with a major milestone on August 2, 2026, and penalties for high-risk violations reaching up to 7% of global revenue. In the United States, the Colorado AI Act takes effect in 2026. Exact applicability and dates depend on your systems and markets, so confirm with legal counsel.
No. We are not a law firm. We do the technical and operational readiness, like inventorying AI systems, classifying risk, building audit trails and documentation, and closing gaps, and we work alongside your legal counsel, who owns the legal interpretation.
How is this different from your AI Governance and Managed Operations service?
This engagement is the readiness assessment and gap-closing for a specific regulation and deadline. AI Governance and Managed Operations is the ongoing practice that runs the framework after you are compliant. Most clients do the readiness work first, then retain us to operate it.
A scoped readiness assessment is typically 3 to 6 weeks: inventory your AI systems, classify them against the regulation, and produce a prioritized gap-and-remediation plan. Remediation timelines depend on what the assessment finds.
An inventory of your AI systems, a risk classification against the relevant regulation, a documented gap analysis, and a prioritized remediation roadmap, mapped to frameworks like NIST AI RMF and ISO 42001 so the work counts toward more than one obligation.
Scope tracks your AI footprint and the frameworks that apply. These are the factors that move the effort.
The inventory and risk classification scale with how many systems you run.
The EU AI Act, the Colorado AI Act, and sector rules each add obligations to assess against.
High-risk systems carry more documentation and control obligations than minimal-risk ones.
A gap analysis is one thing; closing the gaps before a deadline is another.
Four phases, each producing evidence you can show a regulator or a board.
Every AI and analytics system in use, with owners and data sources.
Each system mapped against the EU AI Act tiers, the Colorado AI Act, and sector rules.
A documented gap against the obligations and the deadline that apply to you.
Prioritized fixes mapped to the August 2, 2026 milestone and beyond.
You need to know which AI systems are high-risk before a deadline.
You want a documented gap analysis against the EU AI Act and Colorado AI Act.
You need an inventory and risk classification you can show a regulator.
You want someone to operate governance ongoing: see AI Governance & Managed Operations.
Your core issue is untrusted data, not AI law: start with Data Governance.
Operate the framework after you are compliant. Monitoring, reviews, and incident response.
The data lineage and access controls compliance documentation depends on.
Build agents with the approval gates and audit logs compliance requires.