Agent API Orchestration connects natural-language requests to secure API workflows, allowing business users to query data, run reports, and automate tasks without writing code.
Est.
Founded in 2016
Domain
Financial Software Delivery
Capability
API Orchestration
Posture
Secure Automation
We design and build custom internal applications for financial teams, with practical delivery experience around fund reconciliation and valuation workflows, portfolio and inventory data, risk-related tooling, operational reporting, and data integration projects.
We help teams replace repetitive CSV, Excel, and manual API processes with reliable, traceable, and maintainable automation pipelines.
We develop an orchestration layer that lets authorised users query internal APIs in natural language, combine datasets, apply business rules, and generate structured outputs such as CSV, JSON, or n8n workflow definitions.
Learn MoreAuthorised users describe the result they need in natural language. The Agent API understands the intent, builds an execution plan, retrieves data from multiple systems, applies transformations (join, filter, pivot), and produces a structured output (CSV, JSON, or n8n workflow).
Describe your request in natural language.
prompt
"List positions valued above 5M EUR by issuer."
Builds execution plan and transforms data.
Retrieves structured data securely.
Structured output — delivered as a structured artefact your tools can use directly.
Case 01
Ask for a portfolio report in natural language. The orchestrator queries the relevant APIs, applies joins and calculations, and produces a structured CSV.
Case 02
Combine inventories, instruments, issuers, and ESG or risk metrics to produce structured outputs with auditable calculation rules.
Case 03
Compare datasets from multiple internal systems, identify differences, and export results for operations teams.
Case 04
Automate repeatable data-gathering and formatting tasks where traceability, validation, and consistency are important.
Case 05
Generate reusable workflow definitions for recurring tasks such as daily monitoring, API-to-API synchronisation, and multi-step data preparation.
Business users can ask for data, reports, comparisons, and transformations without writing code or knowing every API endpoint.
The Agent API can plan and execute workflows across several internal APIs, joining, filtering, aggregating, pivoting, and transforming datasets.
Results delivered as CSV or JSON for reporting, reconciliation, or audit. The platform can also generate n8n workflow definitions for recurring automation.
Designed around delegated identity, short-lived tokens, central control, and auditability. Sensitive data does not need to be sent to the LLM.
Compatible with multiple LLM providers, helping clients reduce vendor dependency and adapt as enterprise AI strategies evolve.
Designed to reuse existing API investments. Integration typically focuses on endpoint description and JWT-compatible authentication.
Evaluated with a reproducible regression suite of 37 test cases across 3 complexity levels. The benchmark validates retrieval, joins, aggregations, pivots, and multi-step analytics against strict CSV output contracts. Reliability is visible before production.
Data retrieval, joins, filtering — operational reporting.
Aggregations, pivots, weighted metrics, date comparisons.
Multi-level analytics, cross-portfolio logic, ranking.
GPT-4.1 reference model · 37 cases · 2 runs · April 2026.
A small, focused team that has shipped financial software for nearly a decade — now applying that discipline to natural-language API orchestration.
Hands-on experience in asset-management, hedge-fund, and private-banking software environments — including reconciliation, PMS/OMS integration, risk systems, and reporting automation.
Our goal is to make existing APIs more useful, not to force a large platform replacement. We work with your current systems and operational constraints.
AI adoption is only useful if it respects identity, permissions, traceability, and data-control requirements. These principles are built into the architecture.
The Agent API is already strong for operational reporting and core analytics. Complex multi-step analytics require appropriate safeguards such as validation and human review.
We are looking for strategic pilot companies that want to apply Agent API orchestration to real business challenges and help shape the product.
Looking to validate orchestration on your own data flows?
Discuss a PilotWe are looking for strategic partners to validate Agent API orchestration on real infrastructure and business workflows. The pilot program is designed for organisations with existing APIs, manual reporting processes, and a need to improve user autonomy without compromising security.
Amaël Noel
Founder · Senior C# / .NET Tech Lead
Issy-les-Moulineaux · Paris
Founded in 2016 and based in Paris, NWL Technology provides custom software development and data-orchestration consulting for financial teams. NWL is led by Amaël Noel, a senior C#/.NET developer and technical lead with experience delivering software in asset-management, hedge-fund, investment-management, and private-banking environments.
We combine this financial-software background with a pragmatic approach to AI orchestration: helping clients turn existing APIs into secure, auditable, and actionable business workflows using natural language — without positioning the solution as an autonomous investment decision system.
Let's discuss your workflows, your existing APIs, and where Agent API orchestration could create value.
We respond to every serious enquiry, usually within two working days.
