Many Demos, Low Adoption
Use cases showcase technology without fitting into role-specific tasks and decision points.
Financial AI Enterprise Implementation Solutions
Take AI from Experiments into Business Workflows
The FDE team works alongside your business, using Finloop AI infrastructure to connect models, enterprise knowledge, data, Agents and existing systems, from high-value use cases and prototypes to integration and ongoing operations in production.
Help Enterprises Bridge the Gap Between AI Experiments and Implementation
Align use cases, knowledge, models, systems and governance around business outcomes.
Knowledge Answers Questions but Cannot Act
Knowledge, permissions, tools and processes are disconnected.
Fragmented Model and Agent Procurement
APIs, costs, accounts, data and risks lack centralized governance.
Inconsistent Results After Launch
No established evaluation, monitoring, feedback or ongoing operations.
Professional Foundations for Sustainable Enterprise AI
Financial Professional Use Cases First
Prioritize cases in KYP reports, GAP analysis, risk alerts or enterprise knowledge and task collaboration.
Results Awaiting Authorization
Roles, original processes, connected systems, human–AI responsibilities, usage frequency and business results require client authorization.
Security and Human Review
FDE-AI is an implementation method and service model for jointly delivering business outcomes, rather than generic software. High-risk actions and financial judgments retain human review.
Connect AI to enterprise data and real workflows
Build practical enterprise AI capabilities, from model governance and enterprise data to Agents, workflows and ongoing operations.
AI Foundations and Model Governance
Centralized model access, intelligent routing, costs, quotas, keys, permissions and request logs.
Business ApplicationsAgent LayerAI Operations Platform PaaSFinAMH MaaSEnterprise Connectivity Layer
Deliverables and Engagement Options
Start with use case assessment, then build initial scenarios and progress to enterprise platform operations.
AI Use Case Assessment
For enterprises still choosing priorities or facing many scattered requirements.
Build Initial Use Cases Together
For teams with clear use cases that need validation and integration into real systems.
Enterprise Platform and Operations
For scaled AI adoption and governance across teams.
Learn More →Platforms Make Capabilities Reusable; FDE Makes Them Work in Practice
FDE is an engineering delivery approach embedded in client businesses, designing technology around business objectives rather than adding another software layer.
Understand the Business
Work with business teams to identify frequent tasks, implicit rules, decision points and processes worth changing.
Work Inside the Systems
Connect investment management, ERP, OA, knowledge bases, databases and permissions to give AI the context and tools for real tasks.
Move into Production
Turn models, Skills and Agents into controlled business actions through prototypes, integration, governed launch and ongoing operations.
FDE Team+Reusable AI Infrastructure=Enterprise AI in Production
FDE-AI Implementation Method
Progress from business use case assessment through design, development, deployment and ongoing operations.
1Identify Use Cases
Interview business roles to identify frequent, costly, risky or decision-critical work.
2Assess Priorities
Choose use cases based on business value, data readiness, process complexity, risk and cost.
3Redesign Workflows
Define responsibilities across people, Agents, systems and approval steps.
4Connect and Develop
Connect models, knowledge, data, APIs / MCP and business systems.
5Launch with Governance
Configure permissions, evaluation, security, logs, audits, phased releases and training.
6Ongoing Operations
Monitor usage, costs, quality and business outcomes, and iterate continuously.
Client Stories
Only confirmed information is shown. Client names, project results and partnership details require authorization before publication.
Enterprise AI in Professional Business Workflows
Prioritize cases in KYP reports, GAP analysis, risk alerts or enterprise knowledge and task collaboration.
Financial Products and Research
Product information extraction, KYP, comparisons, research and allocation support.
Risk and Compliance
Risk information identification, exception alerts, rule checks and audit support.
Client Service and Sales Support
Knowledge retrieval, proposal preparation, client enquiries and meeting-related tasks.
Frequently Asked Questions
How does FDE-AI differ from buying an AI product?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
How do we select the most valuable initial AI use cases?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
Which enterprise data, knowledge and systems can be connected?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
Which models are supported, and can we retain existing providers?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
How do Agents control permissions and avoid high-risk actions?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
Who operates and improves the project after launch?+
Assessment depends on the enterprise's technology stack, data readiness, permission boundaries, deployment requirements and priority use cases.
Start with a High-Value Use Case and Bring AI into the Business
Plan the first practical AI use case around real business needs, high-value tasks and existing systems.