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Experience & engineer

AI-Native Digital Engineering

Ship AI-native products with reliability designed in

From customer-facing experiences to internal tools, we engineer products that use models and agents where they add value — with tests, observability, and human approval paths that survive production.

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Software engineering workspace with monitors showing product design and code

Service overview

AI-Native Digital Engineering pairs product thinking with TenthMatrix’s delivery practice. We build portals, APIs, and agent-assisted workflows that feel fast for users and governable for operators. Teams get working software, not prototypes that stall at the demo — including integration with your identity, data, and change processes.

What we deliver

  • Product discovery sprints

    Clarify users, jobs-to-be-done, and success metrics before committing to a build path.

  • AI-assisted UX and flows

    Design experiences where models accelerate work while humans retain control of sensitive actions.

  • Full-stack delivery

    Ship front ends, APIs, and integrations with CI, automated tests, and environment promotion.

  • Agent and tool integration

    Connect agents to approved tools and data sources with clear audit trails.

  • Quality and reliability

    Performance budgets, error budgets, and observability so AI features degrade safely.

  • Team enablement

    Pair with your engineers so patterns and components stay maintainable after launch.

Pricing

Starting from

£6,000

Fixed-scope product increments from £6,000. Larger programmes priced by squad size and duration.

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What's included

  • Discovery and UX framing
  • Build of a production-ready increment
  • Automated tests and CI hooks
  • Observability baselines
  • Documentation and handover

Our process

  1. Frame

    Align on users, risks, and the thinnest valuable release.

  2. Design

    Prototype critical flows and confirm model or agent touchpoints.

  3. Build

    Deliver in short cycles with continuous integration and review.

  4. Harden

    Load, security, and failure-mode testing before wider release.

  5. Operate

    Hand over dashboards, runbooks, and a backlog for iteration.

Start an engineering engagement

Tell us the product outcome you need — we will propose a scoped increment with clear acceptance criteria.

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