i-GENTIC has announced the launch of GENIE, an agentic AI platform designed to automate compliance for regulated industries.

Agentic AI for compliance

The GENIE (Governance Enabled Neural Intelligence Engine) platform is branded as a governance operating system that can adapt as regulations change. GENIE functions as a no-code, chat-to-compliance system, which allows it to read new regulations, convert them into actionable rules, and deploy new tools or additional AI agents in response.

Describing the target sectors, Zahra Timsah, Co-founder and Chief Executive Officer of i-GENTIC AI, said: “Enterprises in the world’s most regulated industries – like finance, healthcare, insurance – get a 24/7 digital compliance officer at their finger tips.”

From detection to action

According to i-GENTIC, a key distinction of the GENIE system is its capacity to go beyond merely flagging compliance issues. Instead, it can initiate action, remediate problems quickly, and close compliance gaps automatically. Timsah commented:

“At i-GENTIC, we build systems that govern as quickly as regulations evolve. Our agents don’t just flag issues – they act, remediate, and close the loop instantly. That’s the difference between knowing you’re exposed and knowing you’re protected.”

Illustrating GENIE’s approach, Timsah gave the example of regulatory changes in the banking sector: “The AI agent will automatically scan all fee schedules, remove non-compliant charges, and block them from being applied in the future. All of the agent’s actions are explainable and directly tie back to the regulation in question.”

Timsah further outlined the practical implications for enterprises: “Without the AI agent, the bank’s compliance team would have to rewrite processes, retrain staff, and update systems so banned fees aren’t being charged – which could take weeks.”

Results and accuracy

Data from organisations using GENIE indicates up to a 75 percent reduction in compliance violations and an 80 percent decrease in manual compliance workload. The company states that the system records an accuracy rate above 90 percent when it comes to detection and the actions taken as a result.

Timsah stressed the importance of integrating a wide array of compliance areas: “Most players in this space pick one lane – AI, data, privacy, or security. i-GENTIC unifies them all under a single framework. That’s why we call it a governance operating system, not just another compliance app.”

Continuous learning and memory

The GENIE platform deploys AI agents with a form of memory, facilitating continuous learning and improvement in enforcement over time. Timsah emphasised that the agents adapt as they operate, resulting in ever-sharpening compliance controls.

The company highlights flexibility as a key feature. GENIE supports a BYOM (Bring Your Own Model) approach, in which clients’ machine learning models remain fully containerised, and data is kept on premises, addressing privacy and security requirements.

Customisation and integration

On the subject of customisation, Timsah said: “You can spin up new agents and plug in tools as you go – no code required. Compliance shouldn’t demand another layer of engineering. It should fit naturally into the systems you already run.”

GENIE replaces traditional dashboard interfaces with real-time chat, designed to allow compliance personnel, developers, and other business teams to work collaboratively within a shared environment. “And forget clunky dashboards. Governance happens through simple chat, connected to APIs in real time,” said Timsah. “It means compliance officers, developers, and business teams can all work from the same source of truth.”

The platform addresses a common pressure point: quickly understanding and responding to regulatory changes. “Reading regulatory updates is a time-consuming task. GENIE translates updates into plain actions quickly, so compliance teams can focus on decisions, not paperwork,” said Timsah.

Industry coverage and future outlook

GENIE is described as both industry and region agnostic, supporting multiple languages and applicability across various regulatory environments. i-GENTIC maintains that the platform is designed to serve a broad spectrum of enterprise needs beyond the avoidance of fines.

Commenting on the broader objective for enterprise governance, Timsah stated: “Organisations shouldn’t have to choose between speed and safety. With GENIE, they can have both. i-GENTIC’s brand promise is compliance with confidence. Our goal is to empower enterprises to innovate boldly while proving to regulators, customers, and partners that governance and compliance isn’t just homework they turn in at the end of the year. It runs like spellcheck in real time.”

Scott Zoldi, chief analytics officer at FICO and author of more than 35 patents in responsible AI methods, found that many customers he’s spoken to lacked a clear concept of responsible AI—aligning AI ethically with an organizational purpose—prompting an in-depth look at how tech leaders are managing it.

According to a new FICO report released this morning, responsible AI standards are considered essential innovation enablers by senior technology and AI leaders at financial services firms. More than half (56%) named responsible AI a leading contributor to ROI, compared to 40% who credited generative AI for bottom-line improvements.

The report, based on a global survey of 254 financial services technology leaders, explores the dynamic between chief AI/analytics officers—who focus on AI strategy, governance, and ethics—and CTOs/CIOs, who manage core technology operations and alignment with company objectives.

Zoldi explained that, while generative AI is valuable, tech leaders see the most critical problems and ROI gains arising from responsible AI and true synchronization of AI investments with business strategy—a gap that still exists in most firms. Only 5% of respondents reported strong alignment between AI initiatives and business goals, leaving 95% lagging in this area, according to the findings.

In addition, 72% of chief AI officers and chief analytics officers cite insufficient collaboration between business and IT as a major barrier to company alignment. Departments often work from different metrics, assumptions, and roadmaps.

This difficulty is compounded by a widespread lack of AI literacy. More than 65% said weak AI literacy inhibits scaling. Meanwhile, CIOs and CTOs report that only 12% of organizations have fully integrated AI operational standards.

In the FICO report, State Street’s Barbara Widholm notes, “Tech-led solutions lack strategic nuance, while AI-led initiatives can miss infrastructure constraints. Cross-functional alignment is critical.”

Chief AI officers are challenged to keep up with the rapid evolution of AI. Mastercard’s chief AI and data officer, Greg Ulrich, recently told Fortune that last year was “early innings,” focused on education and experimentation, but that the role is shifting from architect to operator: “We’ve moved from exploration to execution.”

Across the board, FICO found that about 75% of tech leaders surveyed believe stronger collaboration between business and IT leaders, together with a shared AI platform, could drive ROI gains of 50% or more. Zoldi highlighted the problem of fragmentation: “A bank in Australia I visited had 23 different AI platforms.”

When asked about innovation enablers, 83% of respondents rated cross-departmental collaboration as “very important” or “critical”—signaling that alignment is now foundational.

The report also stresses the importance of human-AI interaction: “Mature organizations will find the right marriage between the AI and the human,” Zoldi said. And that involves human understanding for where to ”best place AI in that loop,” he said.

Sheryl Estrada
sheryl.estrada@fortune.com

Leaderboard

Brian Robins was appointed CFO of Snowflake (NYSE: SNOW), an AI Data Cloud company, effective Sept. 22. Snowflake also announced that Mike Scarpelli is retiring as CFO. Scarpelli will stay a Snowflake employee for a transition period. Robins has served as CFO of GitLab Inc., a technology company, since October 2020. Before that, he was CFO of Sisense, Cylance, AlienVault, and Verisign.

Big Deal

Going deeper

“Warren Buffett’s $57 billion face-plant: Kraft Heinz breaks up a decade after his megamerger soured” is a Fortune report by Eva Roytburg. 

From the report: “Kraft Heinz, the packaged-food giant created in 2015 by Warren Buffett and Brazilian private equity firm 3G Capital, is officially breaking up. The Tuesday announcement ends one of Buffett’s highest-profile bets—and one of his most painful—as the merger that once promised efficiency and dominance instead wiped out roughly $57 billion, or 60%, in market value. Shares slid 7% after the announcement, and Berkshire Hathaway still owns a 27.5% stake.” You can read the complete report here. 

Overheard

“Effective change management is the linchpin of enterprise-wide AI implementation, yet it’s often underestimated. I learned this first-hand in my early days as CEO at Sanofi.”

—Paul Hudson, CEO of global healthcare company Sanofi since September 2019, writes in a Fortune opinion piece. Previously, Hudson was CEO of Novartis Pharmaceuticals from 2016 to 2019.

Hyderabad recently hosted a vital dialogue on ‘Human at Core: Conversations on AI, Ethics and Future,’ co-organized by IILM University and The Dr Pritam Singh Foundation at Tech Mahindra, Cyberabad. Gathering prominent figures from academia, government, and industry, the event delved into the ethical imperatives of AI and human-centric leadership in a tech-driven future.

The event commenced with Sri Gaddam Prasad Kumar advocating for technology as a servant to humanity, followed by a keynote from Sri Padmanabhaiah Kantipudi, who addressed the friction between rapid technological growth and ethical governance. Two pivotal panels explored the crossroads of AI’s progress versus principle and leadership’s critical role in AI development.

Key insights emerged around empathy and foresight in AI’s evolution, as leaders like Manoj Jha and Rajesh Dhuddu emphasized. Dr. Ravi Kumar Jain highlighted the collective responsibility to steer innovation wisely, aligning technological advancement with human values. The event reinforced the importance of cross-sector collaboration to ensure technology enhances equity and dignity globally.