Secure AI adoption for software teams

Make AI work for your engineering team.

Turn scattered AI use into a secure workflow your team can measure and maintain.

Watch the 2:51 overview
Defined scopePractical team trainingSecurity built in
AI draft passes security and quality checks, then human approval, before controlled release. Rework returns from human approval to AI draft.
AI tools. Human review. Controlled delivery.

A 2:51 overview

See how the three offers work.

See how assessment, implementation, and ongoing assurance fit together.

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Read the transcript

tools are only the beginning.

Imagine your engineering team already uses AI. One person writes code with it. Another uses it to review a change. But these separate activities leave a bigger question. How does AI improve the whole workflow, with the right controls? Nextex AI helps you answer that question.

a clear decision at each stage.

There are three starting points: assess your workflow, implement a controlled pilot, or improve an existing deployment. Each offer has a defined scope, agreed deliverables, and a clear way to review completion.

ai engineering assessment

Start with the AI Engineering Assessment when your use case, baseline, or controls are unclear. Nextex reviews how work moves through your team, how you use AI, and the controls around access, data, and security. You receive a workflow baseline, a priority use case, and an implementation plan, with a written go or no go recommendation. The typical duration is two weeks. Implementation is a separate scope.

controlled ai implementation

If you have a defined use case, Controlled AI Implementation puts it into practice. The focus is one team and one agreed workflow. Nextex integrates AI, adds security controls, and provides practical team training. The pilot is reviewed against delivery, quality, and security criteria agreed at kickoff. You receive a results review, an operating guide, and a handover. The typical duration is six to eight weeks.

measure the whole workflow.

Why measure the whole workflow? A faster first draft can still need review and rework. Nextex agrees a baseline, then reviews delivery, security and quality, adoption, and total cost. Time saved and cash saved are reported separately. The evidence helps you decide what to do next.

ongoing ai assurance

For teams already using AI, Ongoing AI Assurance provides a quarterly review cycle. Nextex reviews delivery, adoption, and cost trends, and checks agreed controls as tools and usage change. You receive documented findings, priority improvements, and an action plan with owners, plus a leadership readout. New builds and incident response need a separate scope.

start where your team is.

Need clarity? Start with assessment. Ready to test a defined workflow? Choose implementation. Already operating? Discuss assurance. Each later phase is a separate decision.

one team. one workflow. a clear next step.

Visit nextex.ai and share your team, workflow, and goal. Nextex will discuss fit and prepare a written proposal. Scope, fees, responsibilities, and acceptance criteria are agreed before work starts.

Choose your starting point

A clear scope. A useful result.

Choose the offer that fits your team today.

A workflow map under a magnifying glass, with one priority highlighted.

01 / Assess

AI Engineering Assessment

Typically 2 weeks

A clear decision on one AI workflow.

Find your starting point.

  • Workflow baseline
  • Security control review
  • Prioritised implementation plan
Full scope and deliverables
Best for
Engineering and security leaders deciding where to start or what to fix.
What you receive
  • Baseline of your delivery workflow and AI use
  • Review of access, data, and security controls
  • Prioritised use case and implementation plan
What we need from you
A team sponsor, workflow walkthroughs, and agreed access to delivery metrics.
Scope boundary
Assessment and recommendations. Implementation is scoped separately.
How we review completion
A reviewed baseline, prioritised findings, and a written go / no-go recommendation.

Fixed-scope proposal

Code passes through a review checkpoint before it reaches delivery.

02 / Implement

Controlled AI Implementation

Typically 6–8 weeks

One team. One controlled pilot.

Put a defined use case to work.

  • AI workflow integration
  • Controls and team training
  • Results, operating guide, and handover
Full scope and deliverables
Best for
Teams with a defined use case that need a working, measurable pilot.
What you receive
  • AI integration within an agreed workflow
  • Security controls and practical team training
  • Results review, operating guide, and handover
What we need from you
A named workflow owner, approved tools and access, and time from the pilot team.
Scope boundary
One agreed pilot scope. Wider rollout and third-party licences are scoped separately.
How we review completion
A working pilot assessed against the delivery, quality, and security criteria agreed at kickoff.

Milestones agreed in your proposal

A shield, a clock, and a review document arranged in a recurring review cycle.

03 / Improve

Ongoing AI Assurance

Quarterly review cycle

Keep value, cost, and controls in view.

Improve an existing deployment.

  • Delivery, adoption, and cost review
  • Agreed control checks
  • Action plan and leadership readout
Full scope and deliverables
Best for
Teams already using AI that need continued measurement and control.
What you receive
  • Delivery, adoption, and cost trend reviews
  • Agreed control checks as tools and usage change
  • Prioritised improvements and leadership readout
What we need from you
An operating deployment, a service owner, and access to agreed metrics and controls.
Scope boundary
Scheduled reviews and agreed checks. Incident response and new builds require a separate scope.
How we review completion
A documented review, control findings, and an action plan with owners and priorities.

Recurring scope agreed upfront

Scope, fees, third-party costs, and payment milestones are agreed in writing before work starts. Timing depends on scope, access, and team availability.

Why Nextex AI

Enterprise experience. Practical delivery.

Experience in a major airline

Practitioner experience from AI-assisted software delivery and security roles within a major airline.

Implementation and team capability

Practical training, operating guidance, and handover help your team maintain the workflow.

Controls that fit the workflow

Engineering and security teams agree access boundaries, human review, and rollout checks.

Evidence for your next decision

Agree the baseline.
Measure the change.

  1. Baseline
  2. Pilot
  3. Review
  • Delivery
    Lead time, including review and rework.
  • Security and quality
    Defects, failed changes, and time to fix issues by severity.
  • Adoption and cost
    Team usage and total cost: tools, review, and support.

Results depend on your workflow and scope. Time saved and cash saved are reported separately.

How to get started

  1. Share your goal
    Your team, workflow, and intended result.
  2. Review your proposal
    Agree deliverables, access, responsibilities, fees, and acceptance criteria.
  3. Approve and schedule
    Approve scope and payment terms before kickoff. Later phases are separate decisions.
Request a proposal

Before you decide

Practical questions, answered.

Which service should we start with?

Choose the assessment if your use case, baseline, or controls are unclear. Choose implementation if you have a defined workflow and a team ready to participate. Choose assurance if you already have an operating deployment. We confirm fit before preparing your proposal.

How is pricing agreed?

Pricing depends on scope, integrations, access requirements, and delivery responsibilities. Your written proposal sets out fees, payment terms, third-party costs, and exclusions before work begins.

Can we use our existing AI tools?

We start with your current tools and approval requirements. Any proposed tool, licence, or infrastructure change is reviewed with your team and included in the agreed scope.

Does implementation include training and security?

Yes. The agreed pilot includes practical training and workflow security controls. The proposal specifies the audience, sessions, checks, and handover materials. Broader training or specialist assessments can be scoped separately.

Do you guarantee a productivity percentage?

No. We agree a baseline and measurable acceptance criteria for your workflow. The review covers benefits, costs, and limitations so you can decide whether to expand.

What happens after the first engagement?

You receive the agreed findings and handover materials. You can continue with your own team or discuss the next phase. Any additional work requires a separately agreed scope.

Start with a clear scope

Tell us what your
team needs.

Share your team and workflow. We will discuss fit and prepare a proposal.

This is a proposal request. Work starts after you approve the scope and commercial terms.

contact@nextex.ai

Include your team size and preferred timing. Keep confidential project details out of this first enquiry.

Opens your email app. Review and send the draft to complete your enquiry.

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