Fenergo Launches Fen-AI to Govern AI Across Client Lifecycle Management

Fenergo has launched Fen-AI, an orchestration platform designed to help financial institutions deploy AI across client lifecycle management while retaining human oversight, policy controls and an auditable record of decisions.

The platform supports Fenergo’s KYRA family of AI agents, which can carry out tasks across client onboarding, periodic reviews, ongoing monitoring and material changes to client records.

Fenergo said Fen-AI was developed in response to financial institutions’ need to increase the capacity of Know Your Customer (KYC), Anti-Money Laundering (AML) and client lifecycle management (CLM) operations without weakening governance. The company works with more than 110 financial institutions, including over 40% of the world’s 50 largest banks.

“Financial institutions don’t have an AI problem. They have a scale problem. Risk moves in real time and regulation evolves continuously. Yet the work of compliance still depends on review cycles built for a slower world. Fen-AI changes that. We’re enabling institutions to move from periodic control to continuous control, delivering faster client onboarding, greater operational efficiency and stronger compliance without increasing risk or headcount.” Marc Murphy, Founder and CEO, Fenergo.

Fen-AI is built on Fen-X, Fenergo’s Legal Entity System of Record. Actions taken by KYRA agents, along with the underlying sources, decisions and rationale, are recorded as work is completed. This is intended to give firms a traceable account of how automated decisions were reached and provide evidence for internal assurance and regulatory review.

Fenergo describes this extension of Fen-X as a “Continuous System of Control”. Fen-X supplies client data, regulatory policy logic and decision evidence, while Fen-AI governs how AI agents access and act on that information. KYRA agents then perform tasks within controls established by the institution.

Connecting Agents Through a Governed Interface

Fen-AI includes an Agent-to-Agent (A2A) Interoperability Framework that allows institutions to connect Fenergo agents with approved internal and third-party agents.

The framework uses the Model Context Protocol (MCP) and A2A interoperability to authenticate requests, maintain client and workflow context during handovers and attribute completed actions to the relevant agent or system.

The results are written back to the Fen-X system of record and captured in what Fenergo describes as an immutable evidence trail. The approach is intended to allow firms to add new agentic capabilities without losing visibility over how work moves between agents, applications and data sources.

Fen-AI also provides operational reporting designed to show where agents are contributing capacity. Metrics include completed tasks, analyst hours returned, manual activity avoided, throughput, entities covered and workload by capability.

“AI in financial institutions will succeed only if it’s built on trust. Regulators will not accept ‘the AI decided’ as an answer. That is why we built governance into the foundation of Fen-AI from day one. Every action is attributable. Every decision is explainable. Every outcome is anchored to a trusted system of record. We are creating a new category for regulated industries: the governed agentic workforce.” Hishaam Caramanli, President and COO, Fenergo.

The first release of KYRA includes six agents focused on routine client-lifecycle tasks. Fenergo said further Fen-AI capabilities would be introduced in the coming quarters.

Fen-AI and the initial KYRA automation agents are available to Fenergo customers globally.

Hexaware Clients Given Access to Factory Software Development Capabilities

Hexaware Technologies has partnered with Factory to deliver agent-native software development to enterprise clients across major sectors, including banking and financial services.

The agreement integrates Factory’s Droid platform into Hexaware Technologies’ global delivery system. Hexaware Technologies previously deployed the Droid platform internally within its own engineering ecosystem.

“We’re seeing 5x to 10x gains in production-ready output while investing the necessary time in guardrails and governance so these agents can operate with efficiency and safety,” said David Corrado, senior vice president of strategic global clients at Hexaware Technologies.

Initial deployments focus on sectors requiring strict compliance, including banking and financial services.

The partnership follows internal application of the software for repository consistency, code migrations, documentation and refactoring.

New Funding as Feathery Expands Wealth and Insurance Data Management Platform

Feathery has secured US$30 million in funding to expand its artificial intelligence-powered data automation software for the insurance and wealth management industries.

Feathery’s platform provides data management capabilities that enable clients to overcome the restrictions presented by fragmented tech stacks, which are common within the sectors.

Erie Insurance Strategic Ventures provided capital alongside Index Ventures, Bain Capital Ventures, BrokerTech Ventures and SV Angel.

Co-founder Peter Dun and co-founder Zack Khan established the organisation in 2021 after working at Robinhood and Hightouch.

Feathery automates client onboarding, risk evaluation and data synchronisation across databases, client relationship management tools, custodians and policy administration systems.

Merger Brings ESG Book Under EthiFinance Ratings Brand

EthiFinance, which provides credit and sustainability ratings, has agreed a merger transaction with ESG Book to create a ratings agency that combines the data and analytics from both companies.

The merger, which will bring ESG Book under the EthiFinance brand, will enable financial markets clients to better meet obligations to report sustainability information and risk models, said Carol Sirou, chief executive officer of EthiFinance.

“By combining our strengths, we have the best platform to meet the needs of financial institutions and corporate issuers in a fast-moving market,” Sirou said.
EthiFinance was founded in Paris in 2004, while ESG Book was launched in Frankfurt in 2018.

Kyckr Revenue Grows 46% as Demand Rises for Live Registry Data

KYB data provider Kyckr has reported 46% revenue growth for the financial year ended June 2026, which it described as its strongest performance in two decades. The company attributes the increase to regulatory pressure in Australia and North America, where firms face growing scrutiny of the data supporting their compliance controls.

Kyckr said regulated firms face growing pressure to show that their KYB processes draw on verified, current company information rather than static third-party data. The company cited a McKinsey estimate that the financial industry detects around 2% of global financial crime flows whilst its own research found that poor data was a factor in 68% of UK Financial Conduct Authority (FCA) enforcement actions over the past five years.

The company added 45 clients during the year, including a Global Systemically Important Bank (G-SIB). The new client joins six G-SIBs already supported by the company. Its network has also passed 50 AML orchestration partners. Recent additions include UBO data provider Athennian in North America and legal-tech SaaS provider Infotrack in Australia.

Kyckr has reshaped its senior team since appointing Steve Lamb as chief executive in August 2025. Lamb previously served as the company’s head of product and chief operating officer. Subsequent appointments include former Equiniti executive Ian Jones as chief technology officer and former Thirdfort executive Andrew Kellett as head of customer delivery. Kyckr has also recruited commercial staff from Veriff and Moody’s.

Now entering its 20th year, Kyckr connects regulated firms to more than 300 official company registry sources worldwide. The company built the network to address fragmented and inconsistent corporate registry data across jurisdictions.

“The foundational KYB requirements for regulated firms are shifting, and demand for live company register data is only going to increase further,” said Lamb.

During the second half of 2026, Kyckr plans further investment in its registry network and a programme of product launches. The company is also preparing for the move towards reusable business identities under the European Business Wallet framework.

Precisely Adds Mainframe Software Visibility to ServiceNow Marketplace

Precisely has released Ironstream z/OS Software Discovery for ServiceNow, which automatically identifies z/OS software installed on mainframes and synchronises the inventory data with the ServiceNow Configuration Management Database.

The latest product is available through the data integrity specialist’s ServiceNow Store. It enables the replacement of manual tracking via spreadsheets to establish a continuous system of record for mainframe assets.

It brings trusted mainframe data into ServiceNow so customers can reduce risk, simplify compliance, and manage their entire information technology environment, said Marianne Roling, senior vice president of global channel and ecosystems at Precisely.

The integration allows organisations to incorporate mainframe systems into enterprise-wide software asset management programmes to support regulatory compliance and vendor audits.

Precisely previously developed other applications in the Ironstream portfolio and the company builds these solutions as a partner within the ServiceNow partner programme.

LSEG Data Now Available to Clients via Databricks

LSEG has expanded its partnership with data and artificial intelligence company Databricks to make more than 50 datasets from its Quantitative Analytics Database available on the Databricks Marketplace.

The expansion utilises OpenSharing, an open protocol for sharing data and artificial intelligence assets, to grant clients direct access to financial and economic data within their Databricks environments.

The integration operates through entitlement-controlled access across cloud environments and incorporates Unity Catalog to provide centralised data governance, tracking and usage auditing.

“This partnership simplifies how organizations integrate financial intelligence into their workflows,” said Databricks chief executive Ali Ghodsi.

The available datasets cover company fundamentals, market pricing, fixed income and risk analytics to support portfolio construction and machine learning model testing and it builds on the existing availability of Lipper Fund Data and Cross Asset Analytics within the ecosystem. There are also plans to add Tick History and reference data.

GoldenSource Scout AI Platform Seeks to Bring Trust to Data

GoldenSource has launched an artificial intelligence platform called GoldenSource Scout, which is designed to help financial services firms establish trusted data context for AI models.

The release follows findings from the InvestOps 2026 research report, which indicated that 98 per cent of firms are concerned that poor data could lead to incorrect artificial intelligence insights.

“The test for AI is not whether it can generate answers, but whether those answers can stand up to operational scrutiny, governance expectations and board-level accountability,” said GoldenSource chief executive James Corrigan. “That is where trusted data context becomes essential.”

The platform allows clients to query and interpret data across multiple domains through a chat interface or an agent-building tool deployed on Amazon Bedrock.

It expands upon the company’s previous data management services, which have focused on standardising and operationalising complex market data for four decades.

MSCI Buys First Street to Bolster Climate Risk Data Offering

MSCI has acquired physics-based climate risk data and analytics provider First Street as it seeks to enhance its climate risk capabilities.

The US$120 million transaction coms as as financial institutions demand physical climate risk data embedded into workflows to inform decision-making during accelerating global climate risks, MSCI said.

“The integration of First Street data into MSCI’s existing geospatial capabilities will enable clients to be better informed about their changing risk exposures and translate that directly into financial decision-making,” Richard Mattison, head of sustainability and climate at MSCI, said,

First Street provides multi-hazard models that incorporate climate signals to assess physical risk exposure, asset damage and business interruption.

The transaction is expected to close in the third quarter and builds upon MSCI’s previous developments in geospatial intelligence, climate scenario analysis and transition finance.

NeoXam Agent Attaches Automative Functionality to Platform

NeoXam has launched NeoXam Agents, an agentic artificial intelligence platform for building and supervising artificial intelligence agents, a set of specialised agents in preview and an early-adopter programme launching in the third quarter.

The innovation attaches digital agents directly to the company’s existing products across the back and middle offices of investment firms to utilise operational data where it resides. The company says the new applications will help organisations achieve 90 per cent time savings on investment operations.

“Having an agent is the easy bit – running a fleet of them in a regulated firm is the real challenge, and that’s what we’ve delivered,” said NeoXam chief product and technology officer Clément Miglietti.

The specialised agents will become generally available in September 2026 and target specific operational tasks such as reconciliation, compliance and reporting.

The announcement follows the deployment of NeoXam Structure, a product that extracts figures from documentation and transfers validated data to internal systems with a reported processing time reduction from 15 minutes to about 1 minute per document.