Service structure

Five ways to work with TenBeltz

The offer is organized around project maturity: from diagnosing whether a case is worth building to supporting you long-term. The point is to enter with the right level of involvement, not to force every client through the same path.

Entry

AI Gap Analysis

A compact engagement for SaaS teams that do not know where to start or already tried something that did not land. One context meeting, a written report, and a second meeting to walk through it.

Best for

SaaS teams with an AI feature on the roadmap or an earlier attempt they want to understand before investing more.

  • • Context meeting on the target feature
  • • Recommended stack and tooling
  • • Data and datasets you will need
  • • Predictable risks and how to avoid them
  • • Step-by-step guide for the next steps
Foundation

AI Project Foundations

For software consultancies that deliver custom projects. We leave a reusable base —stack, planning guides, and tooling— that works for any AI project their clients request.

Best for

Consultancies that want to raise the technical bar on AI work without relying on individual judgment call by call.

  • • Standard tooling stack
  • • AI project planning playbook
  • • Technical criteria for pre-sales
  • • Reusable templates and deliverables
  • • Team onboarding
MVP

Agent MVP

For concrete projects where we get you started with the right foundations and your team takes it over the finish line. We set up evaluation, observability, the golden set, and the first agent version, plus an explicit guide to what is left for production.

Best for

Teams with a defined project that want to start well and own the last mile themselves.

  • • Golden set and reference dataset
  • • Evaluation and observability system
  • • First version of the agent or system
  • • Technical foundations for the project
  • • Explicit guide on what is left for production
Delivery

Production Delivery

Same as Agent MVP, taken to the finish line: system ready for production and integrated with your product, on the same evaluation, observability, and delivery foundations.

Best for

Teams that want TenBeltz to own implementation, integration, and production delivery end to end.

  • • Full system implementation
  • • Integration with your existing product
  • • Guardrails and operational controls
  • • Production-ready delivery
  • • Technical handover to the team
Partner

AI Partner

Ongoing relationship for companies with multiple AI initiatives or consultancies that want TenBeltz close to the roadmap, the maintenance, and the technical conversations with their clients.

Best for

SaaS teams with multiple AI features in play or consultancies that need senior support in pre-sales and delivery with their own clients.

  • • Continuous technical support
  • • Cost and reliability optimization
  • • Support in meetings with your clients
  • • AI maintenance and roadmap
  • • Availability for technical decisions

How to choose the right entry point

  • • If you need clarity first, start with AI Gap Analysis.
  • • If you are a consultancy that wants a reusable technical base, choose AI Project Foundations.
  • • If the project is real and you want to kick off well but own delivery yourself, go with Agent MVP.
  • • If the scope is clear and you want us to take it to production, go with Production Delivery.
  • • If AI becomes a continuous capability, move to AI Partner.

Need help choosing the right path?

Share the context and we will tell you what level of engagement makes sense.

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