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CI and Classie AI Partner to Give Enterprises Real Control Over Their AI Agents

Mar 26, 2026 | 5 min read

CI Digital

FOR IMMEDIATE RELEASE

March 16, 2026

Strategic partnership combines CI's implementation expertise with Classie AI's real-time AI supervision platform — so enterprises can move from AI experimentation to production with confidence.

NEW YORK — CI, a global consultancy specializing in AI transformation, digital implementation, and marketing technology, today announced a strategic partnership with Classie AI, an enterprise AI supervision platform that provides real-time visibility, control, and governance over AI agents and generative AI applications.

The partnership addresses the most pressing challenge facing enterprise AI today: not whether to adopt AI, but how to run it safely at scale. Enterprises are deploying AI agents into core workflows faster than operational safety controls can keep pace — and without a supervision layer, sensitive data can move across tools without traceability, errors can cascade across multi-agent workflows, and security teams lack visibility into how AI reasoning influences outcomes.

Together, CI and Classie AI give organizations a clear path to discover, observe, secure, and govern AI agents across every business function — without slowing down deployment.

As Mike Shaw, Managing Partner of CI said.

Enterprises have moved decisively beyond debating whether to adopt AI, Today, the real priority is mastering control: ensuring rock-solid data security, keeping costs in check, and scaling with confidence. Partnering with Classie AI lets us deliver that mastery right now — blending sharp strategic advisory with a cutting-edge supervision platform that turns ambitious AI initiatives into secure, high-impact execution across the business.

What the Partnership Delivers

Joint customers gain an integrated path from AI strategy to production — with the governance infrastructure to back it up. The partnership is designed for industries where trust, compliance, and data complexity are non-negotiable: financial services, health and life sciences, insurance, manufacturing, and telecommunications, among others.

Clients will have access to:

AI Readiness Advisory: Strategic assessment of data infrastructure, governance gaps, and deployment risk before a single agent goes live.

AI Supervision Platform Deployment: Classie OBS-SEC deployed inside existing enterprise environments — providing full visibility into how agents interact with users, data, and tools in real time. No invasive architecture changes. No developer instrumentation required.

AI Activity Mapping & Risk Assessment: A structured assessment delivering an AI posture baseline — including agent and Copilot inventory, knowledge source connectivity, OAuth permission scope analysis, and high-privilege exposure review.

Policy & Governance Implementation: Custom AI policies, real-time enforcement, risk scoring, and human-understandable audit trails aligned to enterprise compliance requirements across CIO, CISO, legal, and risk teams.

Ongoing Optimization: Continuous performance monitoring and refinement throughout the AI maturity journey, including managed supervision services as clients scale.

AI isn’t failing in the enterprise because of models or infrastructure — it’s failing at the execution layer. What Classie brings is the missing control plane: real-time visibility into how AI actually operates across systems.

Said Poonacha Kongetira, CEO of Classie

Together, we’re giving organizations the ability to move fast without losing control — which is ultimately what separates experimentation from production.

Why It Matters Now

Most enterprise AI programs stall at the same inflection point: the jump from pilot to production. The data is stark — 83% of organizations plan to deploy AI agents this year, but only 31% feel equipped to secure them. Over 40% of agentic AI projects are projected to fail or be canceled due to inadequate risk controls through 2027.

The bottleneck is not ambition. It is operational risk. Regulators, boards, and audit committees do not treat AI as an exemption from existing model risk, operational risk, third-party risk, or cybersecurity expectations. Existing frameworks continue to apply — and documentation and runtime monitoring are increasingly expected.

Classie AI's OBS-SEC platform resolves the visibility problem: detecting shadow AI usage, building live agent inventories, compositing multi-hop traces into a single causal chain, and enforcing custom policies on agent behavior in real time. CI's implementation and change management capabilities resolve the execution problem. Combined, they give enterprises a repeatable path to production AI that is measurable, auditable, and built to scale.

The partnership reflects both companies' shared commitment to responsible AI, strong data foundations, and outcomes-driven innovation.

Media Contact

Classie AI

About CI

CI is a human-driven, AI-enhanced global consultancy on a mission to amplify human potential through technology. The company helps organizations across financial services, health and life sciences, insurance, telecommunications, manufacturing, and non-profit sectors modernize their data ecosystems, build enterprise-grade AI capabilities, and deliver meaningful digital experiences. CI combines deep advisory expertise with hands-on implementation across AI services, data and analytics, customer experience, digital marketing, Salesforce, and software engineering — serving clients including AbbVie, AT&T, Johnson & Johnson, Novartis, and Siemens Healthineers.

About Classie AI

Classie AI is an enterprise AI supervision platform purpose-built to serve as the observability and control layer for AI agents and generative AI applications. The Classie OBS-SEC platform enables enterprises to detect sanctioned and shadow AI usage, build live agent inventories, observe and explain agent behavior in real time, enforce custom governance policies, and prevent data leaks — so organizations can deploy AI with confidence. Classie AI supports CIOs, CISOs, CTOs, and compliance leaders across every stage of the AI journey, from early pilot through large-scale production.

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