Flagship backend workflow evidence

DriveDesk starts with an AI sales and support workflow operator.

The sharpest first slice: upload a call, transcript, document, or CRM lead; run RAG retrieval and call analysis; score the lead; draft a follow-up; approve it in Telegram; then create a CRM task or comment through an adapter contract.

Open AI Operator case Start conversation Review DriveDesk Core GitHub-readable version Project offers
FastAPI PostgreSQL OpenAPI AI/RAG n8n Telegram Adapters Docker/CI Runbooks

Core Backend

Tenants, users, roles, records, workflow state, audit trail, outbox, OpenAPI, tests, and service contracts.

Integration Layer

Explicit adapters for CRM, ERP, 1C, banking/accounting APIs, custom databases, webhooks, spreadsheets, and files.

AI Operator Layer

Transcript/document/lead analysis with retrieval, citations, summaries, objections, risk flags, lead scoring, tasks, drafts, and human approval.

Operator Surface

Admin workflows, dashboards, queues, corrections, approvals, search, notifications, and role-specific handoff.

Docker/CI Layer

Docker, CI/release gates, smoke checks, logs, backups, deployment notes, rollback paths, and recovery procedures.

Business Outcome

A support or sales workflow that becomes inspectable: approved follow-ups, CRM tasks, audit trail, retries, and clear operator handoff.

How I Would Start

  1. 1Start with one call/transcript/lead workflow instead of promising a full-company platform on day one.
  2. 2Define ingestion, RAG, call-analysis JSON, approval states, audit events, and the first CRM adapter contract.
  3. 3Use n8n for webhook orchestration while backend owns state, RAG, retries, idempotency, and quality checks.
  4. 4Ship a fake CRM/Bitrix adapter first, then replace it with a real integration once the contract is proven.
  5. 5Publish screenshots, two-minute demo, tests, runbook, metrics/cost notes, and next integration plan.

Good First Slices

  • CRM/1C/banking/custom database integration adapter.
  • Document, transcript, ticket, order, or lead workflow with AI summary and human approval.
  • Internal admin panel replacing spreadsheet and chat operations.
  • Deployment and recovery hardening for an existing service.
  • Operating dashboard with statuses, logs, smoke checks, and handoff notes.

DriveDesk Core

Public FastAPI/PostgreSQL backend foundation with tenants, RBAC, audit/outbox, adapter boundaries, OpenAPI, CI, docs, and demo.

Open review route

AI Ops Workflow Kit

RAG and AI workflow backend evidence: document/transcript intake, retrieval, OpenAI/Claude/Gemini provider boundary, transcript/document analysis, Telegram approvals, idempotent outbox worker, tests, and integration boundaries.

Open repo

DeployMate

Docker/CI handoff evidence for deployment control, release gates, SSH/runtime surface, health checks, runbooks, and incident handling.

Open repo

For Remote Roles

Best fit: backend automation and integration, AI automation, integration engineering, Docker/CI handoff, internal tools, or business operations platforms where one person can own a real slice from unclear problem to verified delivery.

Evidence Review Context

The strongest first step is one real workflow, the systems or data involved, and one clear success condition. I use that to identify the smallest responsible slice, the integration risks, the verification path, and what should wait until the first working path produces reviewable operating evidence.