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Automated Solution Design

From Vague Idea to
Full Project Plan

Accelerate your cloud data projects. Our agent researches product documentation, matches requirements against a solution catalog, and generates a complete SDD, project plan, and acceptance criteria in Azure DevOps.

Talk to an Engineer
Web Research
Docs & APIs
Solution Catalog
Patterns & Best Practices
Solution Architect Agent
Mapping Requirements...
SDD
Markdown / Word
Azure DevOps
Tasks & Epics
Acceptance
Gherkin / Criteria

Automated Solution Engineering

Designing cloud solutions requires deep knowledge of ever-changing services. Our agent acts as a senior architect, researching the latest documentation and applying proven patterns from your solution catalog.

  • Deep ResearchScrapes and synthesizes official documentation to ensure technical feasibility.
  • Complexity MappingEstimates effort and resources based on historical project data and complexity classifiers.
  • Project GenerationAutomatically creates Epics, Features, and User Stories in Azure DevOps with detailed acceptance criteria.
architect_agent.py
async def design_solution(requirements):
  # 1. Research & Match Pattern
  docs = await web_search.query("Azure Data Factory patterns")
  pattern = await catalog.find_match(requirements, docs)

  # 2. Generate SDD
  sdd = await llm.generate_sdd(
    pattern=pattern,
    complexity="High"
  )

  # 3. Create Project Plan
  tasks = await ado.create_work_items(
    project="DataPlatform",
    items=sdd.tasks,
    acceptance_criteria=sdd.criteria
  )

Skip the planning paralysis.

Get a comprehensive, technically sound project plan in minutes, not weeks.

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