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Production AI
framework.

The delivery platform behind our financial services work: orchestration, evals and guardrails, human oversight, and observability. Used when we take agents and copilots into production.

Orchestration Layer
Agents
Tools
Memory
Compliance & Audit
Observability

Deploy faster

Pre-built orchestration and controls cut time-to-production. From agreed use case to running agents in weeks, not months.

Stay in control

Human-in-the-loop approvals and audit trails so regulated teams keep governance without freezing delivery.

Scale confidently

Observability and error handling for systems that have to stay reliable under real load.

How it works

Framework architecture

Graph-based workflows

Structured decision paths and state management with recovery when steps fail.

Plan-Act-Reflect

Break work into clear steps, act, then learn from outcomes before the next pass.

Debug and monitor

Full visibility into traces and performance so production issues are diagnosable.

Composable agents

Combine specialised agents with shared context and clear hand-offs between them.

Flexible interfaces

Terminal and websocket connections with real-time, bidirectional traffic.

Core capabilities

Human oversight

Approval workflows and audit trails for controlled automation in regulated settings.

Tool integration

Standard interfaces to plug in systems and data sources without one-off hacks.

Memory

Structured storage of past interactions so agents can retrieve useful context.

Production resilience

Logging, recovery, and fallbacks designed for systems that have to stay up.

Enterprise standards

Python, TypeScript, and REST APIs with documentation your engineers can use.

Building production AI
for financial services?

We use this framework on delivery engagements: agents, copilots, and the controls regulated environments need.

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Fluid Tech

Fluid Tech

Production AI for Financial Services

https://www.fluidtech.solutions
Fluid Tech
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