A briefing you write once every few years
BeatzDigital advise marketing organisations on their media and help them find the right agency to run a campaign. That choice starts with a briefing, and the briefing is hard work. Target audience, media mix, objectives, budget, the numbers the campaign will be judged on, all of it pulled together from sources that sit in different corners of the business.
The people writing it are often relatively new to the game. An agency contract runs for a few years, so a marketing team briefs a new one every few years at most. Nobody gets to build the routine. The founders of BeatzDigital have done it many times over, and that experience sat with them.
The better the briefing, the better the pitches that come back, and the better the campaign that follows. So they asked us to put their expertise in a product any marketer could use.
Model the expertise, then build around it
A chat window on top of a language model would have produced generic briefings. The value sits in what BeatzDigital know, so that is what we modelled first. The agent asks what they would ask, in the order they would ask it.
Set up the Azure landing zone
Before the product, the ground it stands on. Policies, budget guardrails and secure storage for briefing documents, inside their own subscription.
Model the domain knowledge
We went through their templates and their judgement with them, and turned both into a structure an agent can follow step by step.
Benchmark the models
Claude Sonnet, Claude Opus, Grok and ChatGPT, tested against the real briefing tasks. Each task got the model that did it best.
Build the agentic framework
The agent reads what the user wrote, scores it against the model of a good briefing, proposes what is missing and guides the next step.
Build the interface around the document
Bring an existing briefing in, edit it where you read it, and accept or discard every suggestion the agent makes. The document stays the user's.
Open it up to collaborators
Microsoft Entra handles identity, so a BeatzDigital consultant and their client work on the same briefing, with permissions per project.
A product they can sell, not a prototype
The briefing agent
An agentic framework carrying BeatzDigital's templates and judgement, on top of several benchmarked language models.
A chat interface built around the document
Import, edit in place, and approve or discard each AI suggestion. Several people can work on the same briefing at once.
Azure landing zone
Security policies, budget guardrails and secure document storage in BeatzDigital's own subscription.
Identity and access on Entra
Guest collaborators, permissions per project, and access to several projects within one organisation.
Agents that carry your knowledge, on a platform you own
A demo is easy. A product your customers log into, with your data inside it, is a different job. We build for the second one.
AI Engineering
Domain knowledge modelled into an agentic framework, models benchmarked per task, and a human approving every change the machine proposes.
Cloud Native Engineering
The landing zone, the policies and the identity setup came first, so the product could be sold to third parties from day one.
More of our work
All cases →
Is your expertise sitting in people’s heads?
We model what your best people know into an agent, benchmark the models against your real tasks, and put it on a platform you own. Then the knowledge is available every day, not a few times a year.