Service · AI & Automation
Workflows/Integrations/Creative systems

AI that helps
move work forward.

Connect repetitive tasks, content workflows and business tools with practical automation. Start with the problem, test the approach and build a solution around the way your team works.

Workflow AutomationCustom AgentsRAGIntegrationsContentInternal tools
Agency11 / Workflow exampleIllustrative flow

From a brief
to a reviewed draft.

  1. 01
    Receive the brief

    Product details, audience and content goals.

  2. 02
    Prepare the context

    Organize the inputs and brand guidance.

  3. 03
    Create a first draft

    Generate content for the agreed format.

  4. 04
    Review and approve

    Check accuracy, tone and brand consistency.

Human review at the final step
06
AI service areas
04
Steps from brief to rollout
01
Problem-led approach
11
Agency11 Creative Studio
02 / How we work

Honest scoping. Real outcomes.

  1. 01

    Problem framing

    Define the task, the current process and the outcome you need. Assess whether automation or AI is a suitable part of the solution.

  2. 02

    Prototype & validate

    Test a small version using representative inputs, then review accuracy, usefulness and the work needed to improve it.

  3. 03

    Production build

    Develop the agreed workflow and integrations, including review steps, error handling and the access needed to run it.

  4. 04

    Operate & refine

    Review performance and feedback, then refine the workflow and agree any ongoing support or maintenance.

Start with the task. Build what helps.

Agency11 / Practical AI
01

Clear inputs

A defined task and useful context.

02

Connected tools

A workflow that fits your existing process.

03

Human review

Check important outputs before they are used.

04 / Quick answers

AI FAQs.

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How do you decide whether AI is suitable?

We start with the task, the available information and the outcome. The proposed approach may use AI, conventional automation or a combination of both.

Which AI tools or models do you use?

The choice depends on the task, output quality, cost and integration requirements. We define the tools as part of the project scope.

How is business data handled?

Data sources, access and provider requirements are reviewed before implementation. The design needs to match your permissions and handling requirements.

How much does an AI project cost?

The fee depends on the workflow, integrations and testing required. We agree the scope and cost before development begins.

Can you connect our existing tools?

We can assess the available APIs and access for your tools, then scope the connections needed for the workflow.

Is ongoing support available?

Maintenance and improvements can be included in an agreed support arrangement, with the monitoring and review needs defined for the system.

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Got an AI idea worth testing?

A repetitive task, a content workflow or a tool your team needs—share the idea and let’s explore a practical starting point.

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