Getting started with AI for your agency
You don't need a strategy deck or a new tech stack to start. You need one repetitive task, one good prompt, and two weeks of consistency. Here's a simple 30-day plan to go from "we should try AI" to AI being part of how your agency works.
Before you start: three ground rules
- A human always reviews client-facing output. AI drafts; a person approves.
- AI never invents facts. No made-up numbers, testimonials or results — ever.
- Mind client data. Know where your tool sends information before you paste anything sensitive.
The 30-day plan
One person, one task
Pick the single most repetitive writing task in your week. For most agencies that's turning meeting notes into actions, or metrics into a report narrative. Have one person run it through AI every time it comes up, using a prompt from the library. The goal isn't scale yet — it's to feel the time saved and learn where the AI needs steering.
Build your "house prompt"
A generic prompt gives generic output. Now bake in your agency's standards: your tone, your report structure, your definition of done. Save this improved version somewhere shared. This "house prompt" is what makes AI sound like your agency instead of everyone else's.
Roll it out and start a prompt library
Share the house prompt with the wider team and add a second task. Create a simple shared document — your agency prompt library — where anyone can drop a prompt that worked. This is how AI use spreads without a mandate: people copy what already works for their colleagues.
- Keep prompts in one place everyone can find.
- Note what each prompt is for and any placeholders to fill.
- Encourage people to improve prompts in place, not fork endless copies.
Decide what to connect
By now you'll notice the friction: copy-pasting notes, exporting metrics, hunting through email threads. That copy-paste is admin. The next level is AI connected to the tools where your work already lives, so it drafts from live data with no pasting. Decide which one or two workflows are worth that investment — usually reporting and client updates, because they're frequent and structured.
Common mistakes to avoid
- Trying to automate everything at once. One task, done well, beats ten half-adopted.
- No shared prompts. If every person reinvents the prompt, quality is random. Standardise.
- Skipping the human review. One embarrassing AI slip in front of a client undoes months of trust.
- Expecting magic from a bad brief. AI output is only as good as the context you give it. Tidy inputs, better outputs.
- Stopping at the chat window. The chatbot is the on-ramp, not the destination. The real leverage is connected AI.
Where this leads
Agencies that stick with this end up in one of two places. Some are happy with a strong shared prompt library and a team that uses AI fluently in a chat tool — that's a genuinely good outcome. Others hit the ceiling of copy-paste and want AI wired into their actual systems, drafting reports and updates from live data automatically. That second step is a build, and it's where an implementation partner earns their keep.
When you're ready for connected AI
SG1 Consulting builds AI into the tools your agency already runs on — so the reporting, status updates and follow-ups draft themselves from live data instead of copy-paste. When your team has outgrown the chat window, that's the next step, and it's what they do.
SG1 also builds The Everything, an AI assistant that works across your business apps. Start today with the copy-paste prompt library.