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AI & Workflows

Your business wants more AI, but your team needs to know how to make it useful

Senior leadership is asking departments to use AI, improve productivity and show where it is delivering value, but for in-house content, creative and production teams the reality is often less straightforward. Your business may already have Microsoft Copilot or its own internal AI system, yet staff can struggle to see how it fits into their actual work because the answers feel generic and the system does not understand the department well enough.

We help in-house teams turn the AI they already have into something practical by identifying where work is slowing down, deciding which problems are genuinely worth solving with AI, and then building simple agents and workflows inside the systems your organisation already approves.

Start with the problems, not the technology

Creative and production teams lose a surprising amount of time to small operational problems that repeat every day, so rather than arriving with a list of AI products we start by understanding how the department works and where the friction actually sits.

This could include:

  • Poor briefs coming from other departments
  • Producers repeatedly answering the same questions
  • Feedback scattered across email and Teams
  • Staff searching for guidelines or previous projects
  • Brand and tone of voice being applied inconsistently
  • Repetitive reporting and project administration
  • Knowledge sitting with individuals rather than the wider team

The opportunity is often not to automate the creative work itself but to remove the work surrounding it, which gives the team more time for judgement, ideas and making better content.

How it works

Step 01

1. One-hour team discovery session

We start with a one-hour session with your content, creative or production team where we look at what is currently slowing people down, where communication breaks down and where your existing AI tools are failing to help.

We then turn those problems into a shortlist of useful AI opportunities rather than creating technology for the sake of saying the department is using AI.

Step 02

2. We design practical agents and tools

After the session we look at what can realistically be built using your existing internal technology, whether that is Copilot, an internal AI platform or other approved systems.

That might include:

  • Creative Brief Agent that turns rough stakeholder requests into structured briefs
  • Brand Guardian that reviews content against brand guidelines and tone of voice
  • Production Knowledge Agent that answers questions using departmental processes and documents
  • Feedback Agent that turns messy stakeholder comments into clear actions
  • Project Kick-Off Agent that creates questions, deliverables and next steps from a new request

These should be relatively small tools that solve specific problems rather than enormous transformation projects that take a year before anyone sees the benefit.

Step 03

3. Two days building with your team

We then spend two days in your office working directly with the team to build the strongest ideas and show people the thinking behind them, so staff understand how to give AI useful context, create better instructions, connect internal knowledge and develop agents around real workflows. We simply find a space and book in walkin sessions where members of the team can come up and sit with us around their day to day.

The objective is for people to learn by building something they can actually use, rather than sitting through another AI presentation and returning to exactly the same way of working the following morning.

Give senior management something tangible

There is increasing pressure from leadership for departments to demonstrate what they are doing with AI, but saying the team has attended training or experimented with Copilot is very different from saying:

“We identified five productivity problems and built two internal AI agents that are now being used by the department.”

That gives the team something useful while also giving the department a clear example of AI adoption that can be shared with senior management.

Making internal AI better

Many large organisations cannot simply use every new AI product because security, compliance and data restrictions mean staff have to work within approved systems, which can create frustration when an internal AI platform feels less capable than the public tools people have tried elsewhere.

The answer is often to make the internal system more relevant by giving it better departmental knowledge, clearer instructions, brand guidelines, examples and defined roles so that it understands the environment it is operating within.

Ongoing AI support

Once a team understands what can be built they normally start noticing more opportunities, so we can continue supporting the department monthly or quarterly to improve existing agents, build new tools and work through new pain points as they appear.

Think of us as an external AI productivity partner for your in-house creative team, helping your people get more from the technology your business already has while building the confidence to create useful tools themselves.

Start with one department

You do not need to begin with a huge company-wide AI transformation programme because one department, one discovery session and two days of practical building can quickly show where AI is genuinely useful.

Book a one-hour AI Discovery Session and we will identify where your existing AI could remove friction from your content, creative or production team.

Book AI Discovery Session