The Best AI Tools for Creative Agencies? Start by Looking at Where the Hours Go.

Start with administration. Yes, really.

This is not the most glamorous recommendation. It is probably the least controversial.

Invoices need to be prepared. Meeting notes need to become actions. Public-pitch RFIs require information to be assembled. Documents need naming, filing and retrieval. Some of these activities require care and approval, but they rarely become more valuable because someone spends another hour on them.

Here, time saved can be a direct benefit. If an agency can reduce repetitive handling without increasing mistakes, the case is relatively straightforward.

The obvious starting point is often the software the agency already uses: email, calendars, document storage, finance and project systems. Before purchasing another AI subscription, check what those systems already support. For work that genuinely crosses applications, automation tools such as Zapier can connect triggers and actions, including AI-supported steps. The agency still needs to establish who approves the work and handles exceptions.

There is a caveat. An automated invoice with the wrong amount is not an efficiency improvement. Neither is a pitch submission that includes confidential material from another client. Human approval, access controls and exception handling still matter.

Then look for the small parts of the job that consume enormous amounts of time

Most agency work contains activities that feel like minor components of a larger assignment but somehow absorb the afternoon.

Assembling background research before the real strategic discussion. Producing a first presentation structure. Finding the last approved version of a client claim. Reformatting material for another stakeholder. Preparing mock-ups so an idea can be discussed rather than imagined. When the work involves generating ideas, start by improving the brief and the standard used to judge them.

These are good candidates for AI assistance because they can consume disproportionate effort without necessarily being the part that creates the most value.

Remove enough friction that people can spend their attention on the work that requires them. Some steps still deserve the time they take.

The second question is harder: where would better quality matter most?

An agency that saves two hours preparing a status report has gained two hours. An agency that develops a substantially better positioning, catches a flawed assumption before a pitch or gives creatives a brief that unlocks a better idea may gain something more valuable, although harder to quantify.

The economic test needs to fit the kind of work. One generic ROI calculation cannot capture every tool's contribution.

For administrative work, look at total handling time, errors, review effort and cost. For strategic and creative work, look at the usefulness of the output, the quality of decisions, rework, senior rescue interventions and the effect on the next stage of the project. Use quality as well as time saved to judge the result.

A useful agency AI stack, organised by jobs

Routine operations and handoffs

Zapier is useful when repeatable work needs to move between applications. Evaluate it for routine handoffs with clear triggers, owners and approval points. Include checking errors and maintaining the automation when calculating the time saved.

Research and source synthesis

ChatGPT and Gemini offer research-oriented capabilities; Claude also lets teams supply project documents and instructions. Choose based on source access, evidence traceability, existing workflows and how much human verification the task requires. The tool that writes the most confident report is not necessarily the best research tool.

Writing and strategic discussion

ChatGPT, Claude and Gemini are credible general-purpose assistants for first drafts, argument critique, interview-question development and exploring alternatives. Agencies should test them on their own work rather than rely on a universal ranking. A senior strategist's ability to challenge an output often matters more than small differences between models.

Visual exploration and production

Adobe Firefly and Creative Cloud’s AI features are worth considering for visual exploration, image editing and production within an existing creative workflow. Features such as Generative Fill and Generative Expand can help teams develop and adapt visual material. Check editing controls, usage terms and fit with the intended deliverable.

Connected strategic development

Mirel supports connected strategic work across brief interrogation, audience understanding, positioning, campaign strategy and creative briefing. Client Brains keep relevant client knowledge available across assignments. Its clearest fit is creative agencies doing recurring brand and campaign work; a narrow SEO or performance specialist may get more value from specialist software or an internal workflow.

Mirel is our product. Agencies should apply the same evaluation criteria to it as to any other system. Choosing tools for marketing strategy explains how to distinguish task-level assistance from connected development.

Beware the agency software museum

Subscription cost is one part of buying a specialist tool for every activity. Each tool also has to be learned, remembered, accessed and fitted into the next person's work.

One employee uses a research assistant. Another doesn't know where its output lives. A creative director uses a different tool for ideation. The account team starts again because the relevant context never reached them. The tools may each be excellent. The workflow is still poor.

Before adding software, map the journey of a real project. Even a successful project can conceal a broken process. Which information is created? Who needs it next? What decisions must remain visible? Which steps are repeated across accounts? Where does the team have to reconstruct something it already knew?

The answer might be a better integration. It might be a shared source of client knowledge. It might be a structured strategic process. It might simply be cancelling two subscriptions and using one existing tool properly.

A six-month test that doesn't reward novelty

Suppose every AI subscription comes up for renewal. Ask whether the agency would miss the capability if it disappeared, and which work would suffer without it.

For operational tools, compare the full cost of the workflow before and after adoption, including checking mistakes and maintaining automations. For client-facing tools, inspect actual work: stronger decisions, fewer avoidable rewrites, clearer briefs, more useful creative discussions. Then ask whether the tool is used consistently and whether it fits the systems around it.

A tool that saves time but creates another disconnected process may be a bad investment. A tool that produces impressive demos but little adopted work probably is. A tool that improves strategic quality on important accounts may be worth keeping even if it doesn't win a competition for hours saved.

Two questions before buying anything

Where does the agency spend an enormous amount of time on something that feels like a small part of the job?

And where would a meaningful improvement in quality make the biggest difference?

Start with those answers. Only then look at software.