When to involve us

Get clarity before the next commitment.

A new software initiative

Clarify the problem, users and constraints before selecting a product or starting development. Establish what needs to be validated and what a useful first delivery would include.

Systems that need to evolve

Assess applications, interfaces and dependencies when fragmented information or technical limitations are holding work back. Compare targeted improvements with a broader modernisation effort.

An AI opportunity

Explore whether a task is suitable for AI and whether the available information can support it. Define a bounded use case and the evidence needed to decide whether to proceed.

Understand the situation

Connect the business need with the technical facts.

We start with the intended outcome, the people involved and the systems they use. Together, we review the relevant workflows, data sources, dependencies and operational constraints.

The assessment identifies what is known, what remains uncertain and which questions need investigation. Budget, timing, existing investments and the capacity to operate the solution all shape the options.

Design the approach

Make the important choices visible.

System boundaries and integration

Define the responsibilities of each component, the interfaces between them and the flow of information. Account for identity, access control, data ownership and external dependencies.

Technology and sourcing

Compare existing products, custom development and combinations of the two. Assess fit, integration effort, licensing, maintenance and the implications of future change.

Deployment and operation

Evaluate cloud and on-premises approaches against data boundaries, expected workloads and availability needs. Include monitoring, support responsibilities and recovery requirements in the design.

Assessing AI

Define how you will know whether it works.

An AI assessment examines the task, the quality and accessibility of the information, and the consequences of an incorrect answer or action. It also considers whether conventional software or an existing tool could meet the need.

Where AI is a suitable candidate, we help define representative test cases, evaluation criteria and human review requirements. A focused prototype can test the uncertain parts before a larger delivery decision.

Explore AI solutions
What an engagement can produce

Practical outputs for your next decision.

The deliverables depend on the question you need to resolve. We agree their scope at the start; an engagement may produce one or more of the following.

Assessment and options

A summary of findings, constraints and open questions, with a comparison of viable approaches and the reasoning behind a recommendation.

Solution architecture

A documented view of components, interfaces, data flows and deployment, with the key technical decisions and assumptions made explicit.

Delivery roadmap

A proposed sequence of work, dependencies and decision points. Identify what to validate first, what can be delivered incrementally and what requires further investigation.

From advice to delivery

Carry the reasoning into implementation.

A plan is most useful when the team building the system understands why it takes that shape. We can support the transition into implementation, help resolve architecture questions and review changes as more is learned.

iCode can also take on the agreed development work, connecting assessment and architecture with custom software, integration or AI delivery. The responsibilities and scope are defined for each engagement.

Software engineering and integrationHow we work
Your next step

What decision are you trying to make?

Tell us about the business need, the options you are considering and what is uncertain. We can help define an assessment that gives you a useful basis for the next decision.

Discuss your technical challenge

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