No-code builder
Visual workflows with conditions, schedules and approvals, tested before they go live.
All work
Concept project: a sample build that shows how we approach this kind of product. The client, features and figures are illustrative.
Full stack · Python (Django) + React · Business automation · SaaS
flowops
An AI-assisted workflow platform that replaces manual approvals and copy-paste admin with automations anyone can build.
Overview
The brief
Operations teams at growing companies run on a patchwork of email, spreadsheets, chat and five SaaS tools that do not talk to each other. Approvals sit in inboxes, the same data is typed into three systems, and nobody can see where a request is stuck. FlowOps puts every repeatable process into one workspace: a visual builder for workflows, background jobs that run them reliably, and an audit trail that shows who did what and when.
Problems & fixes
What was in the way
Pick a problem to see what was wrong, what we built and what changed.
The problem
Purchase and invoice approvals travelled by email. Requests waited days because nobody knew whose turn it was, and finance chased people by phone.
What we built
Approval steps with named owners, deadlines and escalation. Each request shows its current step, and reminders go out automatically before the deadline passes.
What changed
Every request has a visible owner and status, and overdue approvals escalate on their own.
1 / 4
Impact
What it changed
1,284Workflow runs a day
62%Faster approvals
14Hours of admin saved a week
0Duplicate records from retries
- One workspace for approvals, automations and their history.
- Operations staff own their processes instead of waiting on developers.
- Failed integrations are retried and reported, not discovered at month end.
How it works
Under the hood
Click any part of the system, or play the flow from start to finish.
Step 1 · React · React Flow
Workflow editor
Canvas for triggers, conditions, approvals and actions, with versioning and a dry-run mode.
Safe to retry
Idempotent jobs mean a re-run never double-posts an invoice or an order.
Audit-ready
Every step, change and approval is logged with who did it and when.
Timeline
- Weeks 1–2User journeys, workflow model and editor prototype
- Weeks 3–5Django API, Celery runner, approvals and roles
- Weeks 6–7Integrations, webhooks, dashboard and AI suggestions
- Week 8Load tests, AWS deployment and monitoring
Tech stack
PythonDjangoDjango REST FrameworkReactTypeScriptReact FlowPostgreSQLRedisCeleryDockerAWS ECS
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