The Datablooz Delivery Model

From blueprint to production. With governance at every gate.

A four-phase delivery model we have refined over 50+ AI systems since 2020. Explicit governance checkpoints, named roles, and outcomes per phase. Not promises. Commitments.

Two engagement modes

Consulting and delivery follow the same model, but the rhythm is different.

Same four phases. Different weight per phase depending on what you are buying.

  • Consulting engagements

    Strategy, advisory, and AI leadership.

    Heavier on Blueprint and Operate. We partner with your CEO, CTO, or CAIO to shape strategy, stand up a Center of Excellence, and review the programs your internal team runs. We do not build it, we make sure it can be built.

    • AI Blueprint, opportunity mapping, feasibility
    • Fractional CTO or Chief AI Officer
    • AI Center of Excellence design
    • Governance and regulatory posture review
  • Delivery engagements

    Hands-on engineering and production operation.

    Heavier on AI Pilot, Production launch, and Scale and operate. A Datablooz team ships the system end to end, on your infrastructure or ours, with monitoring, retraining, and an operating review rhythm in place before we hand over.

    • Custom AI model development
    • End-to-end product builds (SaaS, mobile, enterprise)
    • Data platforms, MLOps, and observability
    • Post-launch operate, retraining, and governance
01Phase 1 of 4

Blueprint

Duration · Short, focused intake

We size the opportunity honestly. No slides, no pitch, no invented numbers. You leave with a decision you can defend to your board.

What you get
  • Named use cases with priority scoring
  • Feasibility assessment against your data
  • ROI model with assumptions stated
  • Risk register and mitigation plan
  • Go, pivot, or stop recommendation
Who leads it

Program lead and ML lead

Governance checkpoint

Steering review at the end of the phase. Scope is signed in writing before we move.

02Phase 2 of 4

AI Pilot

Duration · Structured validation on real data

A working system on your real data with your real users. We prove the solution holds up before you commit to a full production program.

What you get
  • Working pilot on your data with scoped users
  • Evaluation report with measured baselines
  • Integration notes for your stack
  • Safety, bias, and failure-mode documentation
  • Go or no-go recommendation for production
Who leads it

Tech lead and ML lead

Governance checkpoint

Honest evaluation report. Bias, drift, and failure modes are documented, not hidden.

03Phase 3 of 4

Production launch

Duration · Full build and rollout program

The system real users rely on. Shipped into production on your infrastructure, with monitoring, an operating manual, and a documented handoff.

What you get
  • Production deployment on your infrastructure or ours
  • Monitoring, alerting, and on-call setup
  • Operating manual and runbook
  • Handoff to your team or to Datablooz Operate
Who leads it

Tech lead, ML lead, and program manager

Governance checkpoint

Pre-launch checklist covers data lineage, model evaluation, rollback paths, and audit logging.

04Phase 4 of 4

Scale and operate

Duration · Ongoing operation and expansion

The AI keeps working after launch. We handle reliability, retraining, and governance so the system stays an asset, not a liability.

What you get
  • Reliability engineering and SLAs
  • Retraining pipeline and drift monitoring
  • Quarterly model governance review
  • Monthly operating review with your team
Who leads it

Operate lead and program lead

Governance checkpoint

Documented retraining policy. Model cards kept current. Issues tracked and reviewed monthly.

Governance baked in

Responsible AI is not a separate workstream. It is the delivery model.

Every phase has governance expectations. Data lineage is tracked from Blueprint. Model evaluation is a prerequisite for exiting the AI Pilot phase. Human-in-the-loop review queues are scoped during Production launch. Drift monitoring and retraining SLAs are in place before we sign the Scale and Operate agreement.

This is how we keep ISO 27001 and ISO 42001 posture credible, GDPR exposure minimal, and EU AI Act alignment defensible.

See our trust posture
Commercials

Fixed scope, retainer, or outcome-priced. No surprises.

We work as fixed-scope engagements, time-and-materials retainers, or outcome-priced arrangements where the business case supports it.

We do not publish day rates publicly. Ask in the working session and you will get a number you can defend internally.

Start with Blueprint.

One week, one team, one decision. Proceed, pivot, or stop. Defensible either way.

Schedule a callEmail info@datablooz.com