Case study: From business need to working code, written and checked by AI agents.

At a glance

!The challenge

Every new connection between business systems needed three documents written by hand: what the business needs, the overall plan and the detailed technical specification, then the code, each reviewed against long standards documents.

⚙What we built

Agents read the business requirements, write the plan with diagrams, turn it into the detailed specification and generate the code, checking each one against the team's standards for an expert to approve.

★The result

Faster delivery, documents that read the same every time, and a dashboard of every project in flight.

BeforeWeeksfrom business need to working code

→

AfterHoursto approved plans and code

How it works

From input to outcome

⇪Business need

▦Plan

▤Specification

{}Code

✔Approve

Illustrative scene: Global consumer-goods manufacturer · integration team — Illustrative scene · Global consumer-goods manufacturer · integration team

The full story

Details for the curious

Open any section for the full detail — figures, design decisions and how it fits your business.

AI agentsPlain-language documentsStandards checksConfluence and Jira

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The challenge

Every new connection between business systems needed three documents written by hand: what the business needs, the overall plan and the detailed technical specification, then the code, each reviewed against long standards documents.

What it does

Agent Foundry's AI Solution Architect, AI Technical Designer and AI Integration Developer turn a business requirements document into a high-level plan, a detailed specification and ready-to-run integration code, with quality checks and executive dashboards. See Agent Foundry →

Where the numbers come from

Figures marked “published” come from the live product. Projected figures are modelled for a typical deployment of this size using public industry benchmarks; your own numbers are measured during the pilot.