> For the complete documentation index, see [llms.txt](https://aphid-ai.gitbook.io/aphid-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aphid-ai.gitbook.io/aphid-ai-docs/aphid-api/implementation-roadmap.md).

# Implementation Roadmap

| 1. Discovery             | Identify workflows, systems, data, security requirements, and autonomy boundaries. | Integration inventory, use-case backlog, risk classification, approval matrix. |
| ------------------------ | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
| 2. Connector design      | Design API/MCP connectors and data contracts.                                      | Endpoint map, tool schemas, auth model, webhook specification.                 |
| 3. Sandbox build         | Implement and test connectors in a non-production environment.                     | Working connector, test cases, sample payloads, error handling.                |
| 4. Agent workflow design | Define agent instructions, policies, approval gates, and success criteria.         | Agent configuration, workflow rules, prompts, evaluation scenarios.            |
| 5. Pilot                 | Deploy limited workflow with monitored users and bounded permissions.              | Pilot report, audit logs, KPI baseline, issue list.                            |
| 6. Production rollout    | Scale to production with monitoring, support, and governance.                      | Production deployment, runbook, dashboards, SLA model.                         |
| 7. Optimization          | Improve workflow accuracy, speed, cost, and autonomy level over time.              | KPI improvements, expanded use cases, continuous evaluation.                   |


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