AI solutions built around a useful business task

Repeated admin work, difficult document searches and slow product workflows need different solutions. Studio IDD helps you identify where AI can help, test it against real examples and connect a useful first version to your existing tools.

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IDEAS INTO EXPERIENCES

Clarity.
Character.
Craft.

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STUDIO IDD / AI SOLUTIONS
Concept study · Business context · AI · Human oversight
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A GOOD PLACE TO START

Test usefulness before expanding the scope

01

We define the task, available data and the standard a useful answer or action must meet. A prototype helps reveal missing information, integration limits and cases that still need a person. Evaluation considers output quality alongside response time and running cost.

01OUR EXPERTISE

Choose the right starting point for AI

A considered approach, from the first question to the details that make it work.

01

Automate a workflow

An AI agent can classify requests, prepare drafts or update connected tools within defined rules. Choose AI Agents & Automation when the task involves taking action.

02

Find answers in your documents

A knowledge assistant retrieves relevant material and presents an answer with sources. Choose AI Knowledge Assistants when the main problem is finding and using information.

03

Improve an existing product

Search, summarisation and assisted form entry can become part of your current interface. Choose AI Product Features when users need help inside the product they already use.

02HOW WE WORK

How an AI project moves into production

Each stage moves the work forward. You see the decisions, review the progress and know what comes next.

  1. 01

    Select the use case

    Map the current task and agree a baseline for comparison.

  2. 02

    Review the data

    Identify sources, access rules and gaps in the material.

  3. 03

    Build and evaluate

    Test a first version on representative cases and inspect failures.

  4. 04

    Roll out with controls

    Add the agreed integrations, review steps and monitoring.

03BUILT TO HAND OVER

What you receive

  • A documented use case, success criteria and the agreed project scope.
  • A working prototype or production solution, according to the project scope.
  • Evaluation results from representative tasks, with known limitations recorded.
  • Defined review steps, access rules and handling for uncertain outputs.
  • Configuration and handover notes for the team operating the solution.
  • Prioritised recommendations for improvements and the next rollout stage.

Questions before starting with AI

Ema, Studio IDD manager

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No. We compare options against your task, quality needs, costs and data requirements.
Often, yes. We first review their coverage, freshness and access rules. Some preparation may be needed before they are useful to the system.
Yes. Evaluation, source checks and review steps reduce risk, but do not remove every error. The workflow needs a clear path for uncertain or incorrect outputs.
An AI agent takes action within defined rules, such as classifying requests or updating connected tools. A knowledge assistant retrieves relevant material and presents an answer with sources, so people can check the information. Studio IDD helps you choose between them by mapping the task first.
The timeline for an AI solution is agreed after scope review, since data sources, integration complexity and the consequences of errors shape the schedule. Progress moves through the use case, data review, build and evaluation, and a controlled rollout. Production use follows only after evaluation results support it.
You need a clear description of the task, the people involved, the tools it touches and what a good outcome looks like today. Also gather representative examples, the documents or records the AI would use and the access rules that apply to them. A baseline for the current process is useful, since success is measured against it.

+KEEP EXPLORING

Good things work together.

AI Agents & AutomationAI Knowledge AssistantsAI Product Features