AI workflows by design
Practical, governance-aware AI for teams that produce, review, or stress-test content of any kind.
A Content Co engagement with Ellen Harvey for teams that need to use generative AI in their work without creating avoidable risk, inconsistency, or quality drift.
Whether the work is drafting public-facing comms, reviewing a draft submission, stress-testing a policy, summarising stakeholder feedback, or running QA on a high-volume FAQ — this offer helps your team work out where AI fits, where it shouldn't, and what review and accountability should look like in practice.
The problem
Most teams are already using AI in content work.
The problem is not the use. It is the absence of structure around using AI.
Without team-level rules, staff make individual calls about what AI can be used for, what must be checked, and who is accountable when an output falls short. In high-accountability environments, that gap shows up fast:
inconsistent quality across staff and across drafts
unclear boundaries between approved, conditional, and out-of-bounds use
accessibility, plain language, and accuracy checks happening late or not at all
adoption that either over-reaches without oversight, or stalls because the rules feel vague.
These are governance and content problems before they are technology problems. That is what AI Workflows by Design is built to fix.
Who this is for
This engagement works best for one team in a public-facing, regulated, or high-accountability service who:
already use AI informally — the choice is not whether to govern it, but how
have broad organisational AI policy but no operational workflow for content
need clearer rules, review points, and escalation pathways
want pilot evidence before committing to a wider rollout
Suited to content, communications, digital, policy, service, and editorial teams. Ideal sectors: federal and state government agencies, local government, regulators, peak bodies.
1) 30-minute discovery call.
Free. We talk about the team, the workflow, and where the friction is.
2) Proposal.
A short, fixed-scope proposal naming the tier, the price, and the deliverables.
3) Pre-work.
A short questionnaire and a review of any existing AI policy or guidance.
4) Workshop.
A tailored 90–120 minute session with the team.
5) Artefacts or pilot.
The Pack or Pilot, depending on the tier you choose.
6) Handover and check-in.
A 30-minute handover and (for the Pilot) a 30-day post-engagement check-in.
How it works
The process
What you get
A tailored engagement for one team — the workflow, the artefacts, the controls. Three ways to start, depending on where the team is.
Note: Workshop fees credit toward the Pack or Pilot if you convert.
Workshop
Starting from $3,500
Best for: teams that need a structured first conversation and a clear starting point.
A 90–120 minute team session that maps where AI can support the team's content work, where it must not, and what controls are needed. Includes discovery, the workshop itself, and a written summary with recommended next steps.
PAck
Starting from $7,500
Best for: teams that want a tangible governance artefact, not just alignment.
Everything in the Workshop, plus a tailored AI workflow pack the team can use immediately: workflow map, use-case-and-risk matrix, review checklist, and prompt and template starter set.
Pilot
Starting from $12,000
Best for: teams under real adoption pressure — high volume, public-facing, or under audit or regulator scrutiny.
Everything in the Pack, plus 4–8 weeks of embedded support. Office hours, prompt and template tuning against real outputs, governance and assurance advice, and a light adoption review at the end. The Pilot is designed to generate evidence that supports a broader rollout.
What this is not
Before you enquire, it is worth knowing what this is not.
Not generic AI literacy training or vendor tool coaching.
Not a policy deck. A policy tells people what is allowed. This builds the workflow that makes it operational.
Not a “rewrite everything with AI” programme.
Not a guarantee of incident-free AI use. No engagement can promise that. Anyone selling it is bluffing.
About Content Co
Content Co is led by Ellen Harvey, a content designer and strategist based in Brisbane. The work is informed by direct experience leading large-scale content transformation in Australian government — including consolidating a major public-facing site from thousands of pages to hundreds, with measurable improvements in service outcomes.
Learn more about the services and consulting Content Co provides.
The model behind AI workflows by design is built for environments where content errors carry public consequences, accessibility is a legal requirement, and plain language is a service-design standard.
Start with one team
The best place to start is a free 30-minute call. We talk about your team, your workflow, and where the friction is. No pitch, no preparation required.
If it is a good fit, I will send a short fixed-scope proposal within a few days — naming the tier, the price, and exactly what is included.
Book a 30-minute discovery call
Email: hello@ellenharvey.com.au
Send a message using the form.