Every time-poor financial planner or business owner knows the feeling. You know you should be showing up consistently, educating your audience, posting regularly, staying front of mind. Often, marketing is the first thing to slip and it is a key value-add for clients, with consistency being key, yet it is the hardest thing for a stretched business to keep up with.
This is where AI makes a real difference. It can do far more than write the odd post for you. You can build a full year of content in a matter of days, then run it with very little effort after that. And how do you keep it compliant? I will walk through how we did this at Ultimum Financial Services, using a real example. We built a twelve-month "Women & Wealth" education series across email, LinkedIn and Facebook.
Here is the system we use.
Step 1: Start with the calendar, not the content
Decide who you are talking to, the themes you want to educate on, and how often you would like to post. For Women & Wealth we had a clear audience, a set of monthly content pillars (seasonal moments, insurance, superannuation, divorce, widowhood, career milestones and end of financial year) and simply one issue a month across three channels.
AI is very good at turning your thoughts and instructions into structure. Give it your audience, your pillars, your cadence and your key dates, and it will map out a twelve-month calendar with every month themed, sequenced and tied to a date. That grid becomes your skeleton. Once it exists, the question stops being "what do I post this week?" and becomes "let's fill in the plan."
What to do: define your audience, choose six to twelve content pillars, set a realistic cadence, and have AI build the dated twelve-month grid.
Step 2: Give your AI your voice and compliance rules
This step is the one most people miss, and for our industry it is the most important of the lot.
Before you generate a single piece of content, set the tool up properly. Give it two things. First, your brand voice. Feed it samples of your actual writing so the drafts sound like you and not like a machine. Second, and most importantly, give it your compliance guidelines. We loaded our full compliance framework into the tool so that every draft is built within the rules from the very start. General advice only. The right warnings included. None of the restricted words. The tone we are required to use.
This saves a lot of rework. When the AI already knows the lines it has to stay inside, you are editing compliant content rather than rewriting risky content, and what comes out the other end is far closer to something your reviewer can actually approve.
The quality and the safety of what AI gives you comes down to what you put into it. That is worth getting right before anything else.
What to do: load your brand voice and compliance guidelines into the tool before you generate anything. Treat that setup as the foundation, not an afterthought.
Step 3: Build the content in batches, not one at a time
This is the biggest time saver. The reason marketing slips is that writing one piece at a time, under pressure, is exhausting. Batching removes that problem.
Working from the calendar, AI can draft the whole library at once. For each monthly issue we produced a complete package. An email with subject line, preview text, body and call to action. A matching LinkedIn post. A Facebook caption. A brief for the graphic, checklists and worksheets. You put one clear instruction in and a month of content comes out (or 12 months), and because it is all built from the same plan it reads as a coherent series rather than a set of random posts.
What to do: give AI the content idea and the formats you want, then generate complete packages issue by issue. Spend your time refining the few that matter most rather than starting every piece from a blank page.
Step 4: Adapt for each channel, do not copy and paste
Email, LinkedIn and Facebook each do a different job. Email is long form and goes to people who asked to hear from you. LinkedIn is professional and considered. Facebook is warmer and more conversational. Putting the same text on all three wastes what each one does well.
AI handles this well. It can take one idea and reshape it for each channel, the same message told three ways. That is how you stay consistent without sounding copied and pasted.
One tip worth knowing: On LinkedIn, posts from a personal profile usually reach more people than posts from a company page, often by a wide margin.
Step 5: Automate the content sending using the right tools
Now you make it run, and this is where the time saving really shows.
Load your approved social content into a social media scheduling tool, this lets you schedule across LinkedIn and Facebook from one place. Load your approved email issues into an email management tool like mailchimp or MailerLite for sending and automation. Set the dates straight from your calendar, a month or a quarter ahead, and the system delivers on schedule without you touching it each week.
There is one rule I will not break. Load everything as a draft and let a person press publish and send. Scheduling is not the same as auto-publishing. The tools queue the content. YOU should always approve the final send. That one habit is what keeps you out of trouble.
What to do: connect your channels to a social media tool like Buffer.com and email scheduling tool like Mailchimp or MailerLite. Stage at least a month in advance as drafts, schedule against your calendar, and keep a person as the final gate keeper.
Step 6: Your licensee signs off before anything is sent
This is the part you never skip. AI can get you most of the way there, and quickly, but the last check belongs to a human, and in our world it belongs to your licensee.
No piece of content should go out until it has been reviewed and signed off. For us that means general advice only, never personal advice, the general advice warning on every piece, and licensee compliance approval before a single post or email is published. The records are then kept on file. This is not a step to rush or work around. It is the line between doing this properly and putting your business at risk.
Even outside a regulated industry, someone has to own accuracy and brand voice. AI should never have the last word. In financial services, that final word has to come from your licensee, every time.
Estimated costs to consider
One of the best parts of this approach is how little it costs to run. For a small business the whole stack usually comes in at less than a single afternoon of outsourced marketing each month.
For a small business running one AI plan, a handful of social channels and a modest email list, the whole system usually lands somewhere around US$40 to US$80 a month. That is the tooling. The real ongoing cost is your time in review and approval, which matters far more than the subscriptions.
Here is a rough guide. All figures are in US dollars, because that is how most of these tools publish their pricing, and prices change often, so treat them as a starting point and confirm the current rate for your list size and region before you commit. Most of these tools have a genuine free tier, so you can build and test the whole workflow before you pay for anything. And nearly every plan is cheaper paid annually than monthly.
Function | Tool | Pricing |
|---|
AI Assistant | Claude (Anthropic) Chat GPT (OpenAI) Microsoft Copilot Google Gemini | - Claude: a free tier is available, and the Pro plan is around US$30/month.
- ChatGPT: The Plus plan is around US$20/month.
- Microsoft Copilot: the basic chat is included free with most Microsoft 365 business subscriptions. The fuller version is around US$18-US$21 per user/month.
- Google Gemini: the paid plan sits around US$22/month.
|
Social scheduling | Buffer Hootsuite Later SocialBee | - Buffer: free for up to three channels. Paid plans range from around US$5-US$10 per channel/month, which adds an approval workflow for multiple sign-offs.
- Hootsuite: Around US$99/month, aimed at larger teams.
- Later: around US$29/month.
- SocialBee: around US$29/month.
|
Email marketing | MailerLite Mailchimp Brevo
Email Octopus
| - MailerLite: free for up to 250 subscribers. Paid plans start around US$12/month and scale with the size of your list.
- Mailchimp: Its free plan is now very limited at 250 contacts. Paid plans start around US$13/month for a small list and climb faster than MailerLite as your list grows.
- Brevo and EmailOctopus tend to be cheaper at larger list sizes.
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The ongoing work, because it is not set and forget
Building the system is the big job, but it is not the end of it. A steady, predictable rhythm keeps it healthy.
- A short monthly review. Look at what is scheduled, get it approved, and swap in anything topical such as a rate change, a new reform or an end of financial year push.
- Check that everything is current before it goes out. Figures, dates and legislation change. Verify anything time sensitive rather than trusting a draft written months earlier.
- Watch the numbers. Open rates and engagement tell you which pillars are landing. Use that to shape the next quarter.
- Keep your voice sharp. Feed your best performing pieces back into the tool so its drafts keep improving and do not drift into something generic.
- Roll the calendar forward. Top it up so you always have content ahead of you and never hit a cliff.
That is a few hours a month, against the alternative of writing everything from scratch, every week.
The real win
AI is not really there to write your posts for you. The real benefit is consistency. Instead of forcing yourself to keep up, you let the system do the repetitive work and you stay in control of the parts that matter. You build it once, you run it across the year, and you spend your time on judgement, voice and knowing what is right for your clients.
For a time-poor business, that is what keeps you showing up all year instead of going quiet by August.
Luke Watson is Director and Financial Adviser at Ultimum Financial Services
