Platform

Agent Foundry

Write down what the business needs. AI agents turn it into the plan, the detailed specification and the working code, with your experts approving each step.

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Runs in your cloud or on your servers · People stay in control

Agent FoundryLive preview

Platform

Write the plan for our new sales-lead integration from this requirements document.

✓ Read the requirementsSystems, data and flows identified

✓ Checked against your standardsEvery check passed

Your high-level plan is ready, with diagrams, and it meets all of your design standards.

Why teams bring it in

The work it takes off your plate.

Connecting business systems usually takes three documents and weeks of work: a business requirements document (what the business needs), a high-level design (the overall plan of which systems connect and how) and a low-level design (the exact technical instructions engineers build from), and only then the code. Agent Foundry's agents write each of these for you, check them against your company's standards, and let your experts review and approve every step.

What it handles

3 jobs, done properly.

Requirements to plan

Upload a business requirements document or ticket and get the high-level plan, with diagrams.

Days of work done in minutes

Plan to specification

The plan becomes the detailed technical specification, written to your standards.

Every document looks and reads the same

Specification to code

The specification becomes ready-to-run integration code, checked before hand-over.

Projects delivered faster

How it works

4 steps, start to finish.

Each step is visible to your team, and nothing important happens without a person's say-so.

Approved ✓

Share the need

Upload a requirements document, or link a wiki page or ticket.

Approved ✓

Agents write it

Plan, specification and code, one after the other.

Approved ✓

Experts approve

Your team reviews each document and asks for changes.

Approved ✓

Track progress

Dashboards show every project for teams and executives.

AI agents, one per step3

built-in quality checks4

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The business workflow

What happens, and where people decide.

◎What starts it

A business requirements document (BRD) or a demand ticket is uploaded or fetched from Jira, Azure DevOps or Confluence.

⇣What goes in

Requirements, ticket history and attachments, design templates, governance standards and published reference designs.

✕Manual work it replaces

Writing HLDs and LLDs by hand, manual standards checks and hand-coding integration workflows.

✦What it produces

An HLD with diagrams, an LLD to the team's standard, deployable Azure integration workflows, and validation reports.

☺Where a person decides

The Solution Architect approves the HLD, the Solution Designer the LLD, the Developer the code. Every step is reviewed by a role-based expert.

Before

Weeksfrom requirement to code

Variesby author

Bottleneckon senior architects

→

After

Hoursto reviewed drafts

Consistentdocuments to one standard

Checkedagainst governance rules

High-level architecture

From input to outcome.

Full architecture pack

Inputs

BRDs and demand tickets
Jira, Azure DevOps, Confluence
Templates and governance rules

Ingestion

Ticket, comment and attachment fetch
Document parsing
Reference design search

AI layer

Large language models, public or Azure cloud
Agent workflows on an agent framework

Agents and checks

HLD, LLD and Code generator agents
HLD, LLD and integration workflow validators
Architecture review eligibility check

Human review

Role-based approval: architect, designer, developer

Outcome

HLD and LLD published to Confluence
Integration workflow workflow code
Executive and admin dashboards

IntegrationsConfluence (fetch and publish)Jira and Azure DevOps (tickets and attachments)Azure integration workflows (code target)Draw.io diagrams

Design principle

Standards first, experts in charge. Every generated document is validated against the organisation's own governance rules, and a named role approves each step.

Technology stack

What it runs on, and why.

AI modelLarge language models, through a public or Azure cloud AI service

Generation and validation. Azure cloud AI service is used where the customer requires it.

OrchestrationAgent framework and agent workflows agent workflows

Multi-step generation, validation and repair loops.

RetrievalVector database vector store

Finds similar published reference designs to guide new ones.

BackendAPI, streaming progress (SSE)

One API for all agents, sessions and dashboards.

FrontendWeb and web

One page per agent, dashboards and reports.

ValidationRules libraries for HLD, LLD and integration workflow code

Governance rules and standards checks, with reports.

IntegrationsConfluence, Jira, Azure DevOps

Fetch requirements, publish designs.

SecurityJWT sign-in with roles: Solution Architect, Solution Designer, Developer, Admin

Each role sees and approves its own step.

QualityArtifact Comparator

Scores generated documents against published reference documents.

Business value and evidence

Every number, labelled.

Live implementation. Running for a customer or as a public product.

FigureWhat it measuresLabelSourceLimits

Days → hoursper design documentTargetedDesign goal for a global consumer-goods manufacturer's integration team (name withheld).Not yet measured end to end. Confirm with the delivery lead before quoting.

100%of generated documents validated against standardsMeasuredBuilt into the pipeline: every output runs through its validator.Validation coverage, not document quality.

3 + 3generator and validator agents in useReportedPlatform scope.Capability description.

Proven on a hard case

A global manufacturer's integration team writes an HLD, an LLD and integration workflow code for every new system connection, each checked against long governance standards. Agent Foundry drafts all three and checks them, so architects review rather than write.

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Try it yourself

See it work in two minutes.

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Try the live demo

Agent FoundryLive preview

Platform

Write the plan for our new sales-lead integration from this requirements document.

✓ Read the requirementsSystems, data and flows identified

✓ Checked against your standardsEvery check passed

Your high-level plan is ready, with diagrams, and it meets all of your design standards.

Common questions

What is a BRD, HLD and LLD?

A BRD (business requirements document) says what the business needs. An HLD (high-level design) is the overall plan: which systems connect and how. An LLD (low-level design) is the detailed technical specification engineers build from.

Do people stay in control?

Yes. Every document is reviewed and approved by your experts, and they can ask the agents to change any part.

Where do the documents come from and go?

From uploads, Confluence pages or Jira and Azure DevOps tickets; finished documents can be published back to Confluence.