SYGNISYS Flow: AI-native delivery with engineering discipline
SYGNISYS Flow is the delivery method behind our pods, projects and AI systems. People, AI engineering tools, delivery agents and quality controls work together, with human review at the points where judgement matters most.
AI should multiply engineering discipline, not replace it
AI makes analysis, coding, testing and documentation faster. It also makes it easier to produce a lot of plausible, wrong work quickly. Flow uses AI where it helps and keeps experienced engineers accountable for architecture, review and release.
How Flow works
For each stage: what happens, where AI helps, and what people decide.
| Stage | What happens | Where AI helps | What people decide |
|---|---|---|---|
| 01Discover | What happensUnderstand outcomes, users, workflows, systems and constraints | Where AI helpsSummarising documents, mapping existing code and processes | What people decideWhat problem is worth solving |
| 02Design | What happensWrite specifications engineers and agents can build from | Where AI helpsDrafting specifications, test cases and architecture options | What people decideArchitecture and acceptance criteriaReview gate |
| 03Build | What happensImplement the solution | Where AI helpsCode generation, refactoring, test generation, documentation | What people decideCode review on everything that merges |
| 04Assure | What happensVerify quality, security and AI behaviour | Where AI helpsAutomated testing, evaluation suites, security scanning | What people decideRelease readinessReview gate |
| 05Deploy | What happensRelease with monitoring and controls | Where AI helpsPipeline automation, configuration checks | What people decideGo-live decisionReview gate |
| 06Learn | What happensMeasure outcomes and improve | Where AI helpsTelemetry analysis | What people decideWhat to change next |
Delivery you can measure
On Flow engagements we track these measures and report them against an agreed baseline:
- Cycle time
- Lead time
- Deployment frequency
- Escaped defects
- Rework
- Security findings
- The business outcome the work was meant to change
Built-in controls
- Human review gates
- Secure handling of client code and data
- AI tool usage within your policies
- Architecture oversight
- Automated testing
- Observability in production
Frequently asked questions
What is SYGNISYS Flow?
SYGNISYS Flow is our AI-native software delivery method: six stages (Discover, Design, Build, Assure, Deploy, Learn) in which people, AI engineering tools and delivery agents work together.
Where do people review the work?
At human review gates in Design, Assure and Deploy, and through code review on everything that merges. People decide the architecture, acceptance criteria, release readiness and the go-live.
Where does AI help?
Summarising documents and mapping existing code, drafting specifications and tests, generating and refactoring code, automated testing and evaluation, pipeline checks and telemetry analysis.
How do you measure delivery?
Against an agreed baseline, using cycle time, lead time, deployment frequency, escaped defects, rework, security findings and the business outcome the work was meant to change.