Autonomous Content Pipeline
A fully automated system that scans the web for industry news, drafts SEO-optimised articles, runs multi-pass quality review, generates hero images, and publishes — every morning, without human input.
Workflow automation · Implementation
We map the workflow, design the operating model, build the integrations, and hand over a system your team can run, monitor and improve.
Built around your data and tools
Human review gates where risk matters
Production handover and runbooks
Governance and support built in
The Problem
Retyping data. Chasing updates. Copy-pasting between tools. The average SMB loses 20+ hours a week to work that's been automatable for years — you just needed someone to build it.
What we've built
If you're trying to work out whether Parity can handle your kind of workflow, start here rather than reading every detail below the fold.
A fully automated system that scans the web for industry news, drafts SEO-optimised articles, runs multi-pass quality review, generates hero images, and publishes — every morning, without human input.
An AI-powered document processor that reads invoices in any format, extracts structured data into a database, validates line items, and pipes everything into Xero — automatically.
A retrieval-augmented generation system that ingests your entire document library — PDFs, emails, internal wikis — and lets your team query it in plain English. Always current, always sourced.
AI-powered financial models that ingest your transaction data, detect patterns, flag anomalies, and generate forecasts — giving you a real-time picture of where your business is heading.
Custom dashboards that pull from your real data sources and update in real time. No more copying numbers into spreadsheets — your KPIs, metrics, and alerts are always live.
A persistent AI agent with complete context over your files, communications, and operations. Ask it anything, delegate tasks, get answers — it's always on, always current.
When this is the right move
If the workflow is clear, start here. If the team still needs AI basics, rollout confidence, or tool selection before committing to a build, training is usually the better first move.
Best Fit
Better First Step
The process
Scope the workflow, build the system, hand over something that actually runs.
30-minute discovery call. You describe what's eating your time — we'll tell you if AI can fix it, and how.
We scope the solution, build it, test it, and deploy it. You get progress updates, not homework.
Your system goes live. It works while you sleep. We handle maintenance and tuning so you don't have to.
What it costs
Most work fits one of these buckets. Exact scope depends on number of systems involved, how messy the inputs are, and whether the workflow already exists or needs designing.
One workflow, fully automated. Scoped, built, and deployed in 1–2 weeks.
Multi-step system with integrations, data flows, and autonomous operation.
Dedicated AI infrastructure, multiple systems, or retained development.
Value case before build. We scope where the system should save time, reduce errors, or improve throughput before delivery starts — so the business case is clear before implementation.
Book a free 30-minute solutions call. You'll describe what's slowing you down — we'll tell you what can be automated, what it would take, and whether we're the right team to build it.