AI-assisted development setup
Introduce Claude Code with project guidance and team training.
- Example
- Help developers use a coding assistant on representative tasks.
- Potential benefit
- A practical adoption process.
AI solutions for IT and Software Companies.
Help engineers adopt AI and add useful AI capabilities to software products.
Common challenges
Where time goes today
- Developers spend time on repetitive tests and explaining unfamiliar code.
- AI coding tools are used inconsistently, without shared review habits.
- New engineers take time to find setup and design guidance.
- Support tickets need summarizing before engineers can act.
Possible solutions
Five practical AI use cases for IT & Software
Illustrative use cases. Discovery determines what fits your process.
Testing and review support
Draft tests and review suggestions for engineers to verify.
- Example
- Prepare test cases for an existing feature.
- Potential benefit
- Less repetitive engineering preparation.
Technical knowledge assistance
Find answers from approved project documentation.
- Example
- Help a new engineer locate setup and design guidance.
- Potential benefit
- Easier project onboarding.
Support ticket preparation
Summarize tickets and suggest categories and response drafts.
- Example
- Prepare a clear issue summary for the responsible engineer.
- Potential benefit
- Less support preparation time.
AI features for existing products
Build a focused assistant or document feature within your application.
- Example
- Add a document-review feature to an existing business product.
- Potential benefit
- A new capability built around a defined user need.
Suggested first pilot
Claude Code adoption on one repository and a small set of tasks.
A small, scoped project to test one solution with your process before a wider investment.
Example workflow Illustrative
- InputAgreed task
An engineer picks a representative task in the approved repository.
- AI-assistedClaude Code drafts
The assistant drafts code or tests following project guidance.
- People in controlEngineer review
The engineer reviews, tests and approves the change.
- OutcomeMeasured result
Time, correctness and review effort are recorded for comparison.
What you provide
An approved repository, example tasks, existing tests, review rules and an engineering lead.
How the pilot is evaluated
- Task completion time
- Correctness
- Review effort
- Defects
- Adherence to access and project rules
Where people stay in control
Engineers review and approve code. Protect secrets and customer data, follow licensing requirements and keep deployment permissions under existing controls.
Scope, deliverables, fee and timing are agreed in a proposal before the pilot starts. We don't quote fixed prices or guaranteed savings before the scope is known.
Relevant core capabilities
The services behind these solutions
Additional services such as discovery, rollout, training and support are added where relevant.
- Custom AI Assistants and AgentsGive your team a task-focused AI assistant
- Internal Knowledge AssistantsFind company information faster
- AI Integration with Existing SystemsAdd AI to the software you already use
- AI Evaluation and Reliability TestingCheck whether your AI gives reliable results
- Claude Code Adoption and Developer EnablementHelp your software team work more efficiently
- AI Training and Team WorkshopsHelp your people use AI confidently
Discuss AI for IT and Software Companies
Tell us which task you want to improve. We can help identify a practical first pilot.