Not every problem needs an agent.

We identify where AI can create real value by analysing the task, workflow, data, systems, people and decisions involved, then define what should be automated, augmented or left firmly in human hands.

Each use case is assessed against business value, technical feasibility, risk and the quality of the information available to support it.

If a proven tool already does the job, we use it instead of building a new one.

Effective agents need clearly defined jobs. We define each agent’s objective, instructions, inputs, outputs, knowledge, tools, permissions and guardrails, creating the context it needs to perform a specific task reliably.

That might be an agent designed to analyse campaign performance, interrogate brand strategy, monitor search visibility, qualify information or support an internal workflow.

An agent’s usefulness depends heavily on the context it can access.

We connect agents with approved knowledge sources, such as brand and product information, documents, databases, websites and business data, giving them the information required to perform their role.

Where appropriate, we structure and prepare that knowledge to improve retrieval, relevance and accuracy.

The aim is for your agent to know what it needs to know, rather than everything.

Agents become more useful when they can interact with the systems where work happens.

Using APIs and integrations, we connect agents with appropriate business platforms, applications, databases and workflows, enabling them to retrieve information, trigger processes, update systems or pass work to the next stage.

Our integration-first development philosophy applies here too: integrate proven technology wherever possible and build custom capability where it creates a real advantage.

Some problems require more than one agent.

We design workflows where specialist agents perform different roles, such as researching, analysing, generating, checking or taking action, before passing work to another agent or a person.

That creates the potential to automate more complex processes without relying on one model to do everything.

Autonomy should match the risk.

We define where agents can operate independently and where human approval, intervention or oversight is required, particularly around sensitive information, external communications and consequential actions.

Permissions, escalation points and approval workflows keep people in control while allowing machines to handle more of the repeatable work.

An agent needs to be tested against the job it’s expected to perform.

We evaluate outputs, accuracy, consistency, edge cases and failure modes before deployment, then monitor real-world performance once the agent is live.

Good testing checks whether an answer or action is useful, reliable and appropriate to the task, as well as whether the agent produces one.

Agent deployment introduces new considerations around data, access, permissions and accountability.

We design appropriate controls around what agents can access, which tools they can use, what actions they can take and where human approval is required.

Logging and monitoring create greater visibility into how agents are being used and provide the foundations for responsible ongoing management.

We design access around the minimum permissions required for the task.

A useful prototype is only the beginning.

We move agents into controlled production environments, connecting the appropriate models, knowledge, integrations and workflows required for everyday use.

Once deployed, we monitor performance, costs, errors and usage, refining instructions, knowledge and workflows as requirements and AI capabilities evolve.

Our agent capability supports every part of AgencyUK.

Brand

Brand intelligence, consistency, propositions and Brand OS.

Comms

Audience analysis, campaign intelligence, creative testing and optimisation.

Web

Search intelligence, content, performance monitoring and digital experiences.

Business

Knowledge, workflow and task automation.

Each application draws on the same shared agent capability, connected across the agency.