TIAC AI PoC Program — building functional AI engineers

From Developers to Functional AI Engineers:
How TIAC Builds AI Capability at Scale

A standardized, repeatable program that embeds AI into software development as a measurable organizational capability — developing functional AI engineers and delivering solutions across TIAC's core domains.

Developing people

Enabling engineers to work independently, effectively and responsibly with AI agents through a standardized journey — from certification and practical training to production-ready application.

Developing solutions

Ensuring that each PoC delivers a usable solution while generating reusable components, methods and patterns for domains of strategic importance to TIAC.

Developed by CAIT.tech

TIAC's AI-First Development Platform — the governed environment where the program's tools, agents and workflows run and get reused across every PoC.

Explore CAIT.tech →

Certification & foundational knowledge

A shared foundation before participants begin practical work with AI agents.

It combines core AI knowledge with software engineering principles — delivered via IBM (Coursera), Anthropic and LangChain Academy — emphasizing that AI supports engineering expertise rather than replacing it.

AI & generative AI fundamentals

Understanding core concepts, model capabilities, limitations and practical applications.

Prompt engineering

Structuring prompts, context and instructions to produce reliable, consistent results.

Python & application development

Using Python and frameworks such as Flask to build generative AI applications.

Data analysis

Preparing, processing and analyzing data as the foundation of reliable AI solutions.

LangChain & LangGraph

Designing, building and orchestrating agents and dependable agentic workflows.

Retrieval-Augmented Generation

Connecting AI models with internal and external knowledge sources.

Agentic & multi-agent systems

Frameworks such as LangGraph, CrewAI, AutoGen and BeeAI.

Claude & Anthropic tools

Practical experience with Claude Code, agent skills and subagents.

Applying knowledge through AI-assisted development

A disciplined, ticket-driven workflow that runs end-to-end on TIAC's internal CAIT.tech platform — from business logic and planning, through implementation, to validation — powered by the Claude tech stack, with documentation and human review built into every step.

2–4weeks per PoC on average, down from 3.5–5 months

3domains we specialize in — capital markets, wealthtech, regtech

~20%of developer time spent on manual coding

100%of PRs reviewed by a human

Structured planning up front

Business logic and a technical spec are written first; a CAIT planner agent turns them into a phased implementation plan, ticket by ticket in Jira.

Powered by the Claude tech stack

CAIT.tech runs Claude coding agents via MCP.

Rigorous validation

Every AI output is reviewed against an evaluation harness and golden dataset, with grader-and-retry and determinism checks. The goal is a quality product, not vibe-coding.

Automated quality gates & governance

Generated code is scored before it advances, and all PRs get human approval.

Domain PoC projects

Three PoC projects developed in key areas of TIAC's expertise.

01Asset Management

ETF Reporting Platform

An AI-driven reporting and insights platform for ETF fund data. It ingests custodian and market-data provider files through a simple upload interface, automatically recognizes each file type, validates and parses the data against predefined rules, and stores clean data in a centralized database modeled on the vendors' own structures. It then calculates derived metrics and generates the internal control report on demand, in the exact format the team already uses. An AI chatbot allows users to ask questions in plain English, with every answer translated into a read-only SQL query and traced back to its source upload batch.

Turn hours of ETF reporting into seconds — with zero errors and fully traceable outputs.

Explore the ETF Reporting Platform →

02Wealth Management

AI Investment Advisor

An AI-powered investment advisor that enables users to build a personalized investment plan entirely through conversation. Guided onboarding captures their financial situation, preferences and objectives to create an investor profile and risk score. Users can then build multiple goal-based portfolios — for retirement, income, long-term growth and more — while the platform generates suitable strategies for each goal. Once users select an approach, the platform recommends specific instruments, subject to review and approval, and provides ongoing performance tracking and cross-portfolio insights into concentration, exposure and overlap.

AI delivers personalized investment recommendations tailored to each investor's goals, preferences and risk profile.

03Regulatory Compliance

Compliance Monitor

An AI-powered compliance intelligence platform that replaces manual regulatory-document review and streamlines the tracking of legislative change. During onboarding, a company shares its internal policies, procedures and rulebooks alongside official sources where regulatory updates are published. The platform identifies and analyzes new regulatory changes, assesses whether they apply to the company's specific operations, determines which internal documents or obligations are affected, and proposes the necessary updates with clear reasoning. Final validation remains with compliance professionals.

Turn regulatory change into actionable, auditable updates automatically matched to your business.

Real people. Real expertise. Real results.

A repeatable model, lasting value: functional AI engineers with comparable competencies and consistent quality standards, and PoCs that each deliver a usable solution together with reusable patterns in finance, fintech, wealth management and regtech.

AI does not replace the team — it empowers it, with people who lead, decide and take responsibility for the outcome.