AI for your team

Bring AI into your team, without losing control or quality.

AI can make your team much faster, when it's set up right. We help you put AI to work inside your own day-to-day, connect it to how you already work, and train your people to use it well. You stay in charge the whole way.

Where AI helps your team

Four ways we put AI to work in real, day-to-day engineering. Each one is set up safely, with a person approving the important steps.

Documents

Writing and updating engineering documents eats hours your team would rather spend building. AI does the heavy lifting: it drafts your SDD, requirements and traceability documents, and helps several people keep shared Word files current on SharePoint, reading comments, suggesting fixes, and replying, aware of the wider context of your code, product and users.

In practice: An SDD first draft is generated straight from your code and requirements. Your engineer reviews and approves it, instead of starting from a blank page.

What it includes

SDD, requirements and traceability drafts
Co-maintained Word docs on SharePoint
Reads comments, suggests fixes, replies
Aware of your code, product and users

Software development

For the small, repetitive work that piles up, AI can run the full loop on its own: write code, build it, flash it to the target, read the output back, fix, and repeat. It runs with clear guardrails, and a person approves what matters.

In practice: The loop clears a backlog of small fixes overnight. In the morning, your engineer reviews the diffs and approves the ones that are right.

What it includes

Full write → build → flash → read → fix loop
Clear guardrails on what AI may change
A person approves every important step
Frees your team for the harder work

Testing & coverage

Good test coverage protects you from regressions, but writing it by hand is slow. The same loop, pointed at your tests, builds and improves them toward 100% line and decision coverage, then wires into your CI/CD so every change is tested again, automatically.

In practice: Coverage climbs from 60% to 95% without your team writing every test by hand. From then on, each change is checked the moment it lands.

What it includes

Tests built and improved automatically
Toward 100% line and decision coverage
Wired into your CI/CD
Continuous regression testing

Tasks & coordination

A lot of small coordination work slips through the cracks. Connect AI to Jira and it can create, organize and coordinate tasks for you, keeping the path from plan to working code clear and tidy.

In practice: Your meeting notes turn into well-formed Jira tickets, assigned, linked, and ready for the team to pick up.

What it includes

Connected to your Jira
Creates and organizes tasks
Coordinates and links work
Notes turn into ready tickets

How we roll it out

A clear path from idea to working AI.

No big-bang switch. We start small, prove value, and grow from there.

Map your workflows

We learn how your team actually works and find where AI saves the most time.

Set up tools + guardrails

We configure enterprise AI tools and put guardrails in place, so it stays safe.

Train your team

We teach your people how to use AI well in their real, day-to-day work.

Measure & improve

We track the results, tune what works, and keep widening the win over time.

ISO 9001:2015 certified. An audited quality management system, scoped to software development per ISO/IEC 90003:2018. See the certificate

How we keep it safe

Three promises, so you can say yes to AI.

Human in the loop, every time.

Your workflow

The work your team already does, day to day.

AI does the heavy lifting

Drafts, code, tests and tickets, with clear guardrails.

You review and approve

A person signs off every important step. Nothing ships unseen.

Better output, faster

More gets done, quality intact. Then the loop repeats.

You stay in control

Human in the Loop. AI helps; your people decide and approve. The AI never takes over, you own the results, not the AI. Every important step waits for a person to say yes.

Quality stays high

The number one fear with AI is lower quality. Our guardrails and procedures, plus a person in the loop, keep quality high, often higher, with more tests and more coverage than before.

Private and secure

Enterprise tools only. Your code never trains a public model, and everything runs inside your own accounts and tools.

What you get

You walk away with AI built into how your team works.

By the end, AI is part of how your team works, set up inside your own tools.

AI tools, configured for your team and your stack

Guardrails and clear procedures for safe use

A trained team that knows how to use AI well

Documentation of the whole setup

A setup that runs inside your own accounts and tools

Common questions

Questions managers ask us.

Will this lower our quality?

It's the opposite. With guardrails and a person approving each step, quality usually goes up, more tests, more coverage, and fewer things slipping through.

Is our code safe and private?

Yes. We use enterprise tools only. Your code never trains a public model and never leaves your control.

Do we lose control to the AI?

No. Human in the Loop is the rule. AI does the legwork; your people decide and approve. You own every result.

Which tools do you use?

Enterprise-grade AI tools, chosen to fit your stack and your security needs. We set them up and connect them to how you already work.

Do we need to change how we work?

Very little. We fit AI into your current workflow, Jira, SharePoint, your CI/CD, rather than forcing a new one on your team.

How can an engineering team use AI without losing quality or control?

Novodes sets up AI inside your team’s own work with a human in the loop: AI does the heavy lifting and a person approves every important step. Guardrails and procedures keep quality high, often higher, with more tests and more coverage than before.

What can AI actually do for an engineering team?

AI can draft your SDD, requirements and traceability documents; run the full write, build, flash, read and fix loop on small repetitive work; build and improve tests toward high requirements and code coverage wired into CI/CD; and create and coordinate tasks in Jira. A person approves what matters at each step.

How does Novodes roll out AI in a team?

We start small and prove value rather than a big-bang switch: we map how your team works to find where AI saves the most time, set up enterprise tools with guardrails, train your people, then measure results and widen the win over time.

White paper

Bringing AI into your team’s own work, safely.

A deeper read on how we put AI to work in your team: the three promises, the human-in-the-loop, the real use cases, and how we roll it out without losing control or quality.