Development workflows.
We look at how work moves from idea to release: requirements, planning, implementation, testing, review, deployment and maintenance. Then we identify where AI can remove unnecessary effort or help teams make better decisions.
Help your developers build better software with AI.
Giving developers access to a coding assistant is easy. Changing how an entire development organisation designs, builds, tests and maintains software takes more work.
Capisoft helps enterprise teams make that change. We assess your codebase, technical stack and way of working, train your people and introduce AI coding agents where they can make a measurable difference.
Our experience includes programmes for development organisations of up to 500 developers.
AI can help with more than writing code.
A developer needs to understand an unfamiliar part of the codebase. A team needs to turn requirements into a sound technical plan. Tests take time to write. Reviews wait in a queue. Documentation falls behind.
AI can help at each stage. But the value depends on whether it understands the work, has access to the right context and fits the way your teams deliver software.
We help you find where AI is useful across your development process — and put it to work with the right tools, practices and controls.
Improve the system around the developer.
Codebase and technical stack.
We assess the documentation, architecture, tooling and codebase that developers and AI agents need to work with. Where the foundations make development harder than it needs to be, we recommend practical improvements.
AI tools and agents.
We compare suitable tools and models for the tasks your teams perform. We introduce coding agents with clear access, responsibilities and review requirements.
People and adoption.
We train developers and team leads using their own workflows and real development tasks. The goal is for teams to understand when AI helps, how to check its output and how to work effectively with it over time.
From a ticket to a reviewed change.
Today
A developer receives a task, searches the codebase for context, works out the approach, writes the change, adds tests and waits for review. Important knowledge may sit with a colleague who has worked on that part of the system before.
With AI integrated into the workflow
An AI agent can help gather relevant code and documentation, suggest an implementation plan, draft parts of the change and prepare tests. The developer checks the approach and the code. Reviewers assess the result against the team’s standards.
The people who own the software remain responsible for what is merged and released. AI helps them spend more of their time on the decisions that need their expertise.
Find the changes worth making first.
We start with your development leaders and teams. What slows delivery today? Which work is repeated? Where does knowledge get stuck? Which tools are already being used?
Then we look at representative projects, codebases and development workflows. We identify opportunities, assess the effort and expected value, and agree on a practical starting point.
We can begin with a focused team and use what we learn to shape a wider programme. Success is defined against the work you want to improve, such as time to deliver, time spent on reviews or the quality of releases.
Move faster with clear responsibility.
Built for enterprise delivery.
In a large development organisation, a useful AI agent needs boundaries. We define what it may access, which work it can prepare, what must be reviewed and how its output fits into your existing development process.
We work with your technical leaders on the tooling, architecture and standards needed for wider adoption. Teams can build new habits while retaining responsibility for security, quality and production systems.
We build with AI ourselves.
Capisoft’s developers work in focused teams supported by AI coding agents. We use them to help with implementation and testing while our people remain responsible for architecture, review and the finished software.
Meet CapisoftThat experience informs the programmes we build for clients: practical changes tested in real development work, supported by training and a plan to expand what proves useful.
A programme your teams can use.
Depending on your organisation’s needs, our work can include:
- 01
An assessment of your current development process, codebase and tooling.
- 02
A prioritised plan for where AI can help.
- 03
Tool and model selection for specific development tasks.
- 04
AI agent workflows with clear access and review rules.
- 05
Training for developers and technical leaders.
- 06
A rollout plan and measures for assessing the result.
We shape the programme around your teams, technology and goals.
What could your development teams do with better support?
Tell us where delivery slows down, what your developers repeat or how you want AI to become part of your engineering organisation.
We’ll help you find the right starting point and build a practical path from individual experiments to an AI native way of working.