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Engagement model

From first conversation to production AI.

Most AI projects fail between the proof of concept and production. Our process is built to cross that gap. Every step has a clear output, a decision point and a success metric you agree up front.

  1. 01

    Discover

    1–2 weeks

    What happens

    Workshops with business, risk and IT stakeholders. We define the decision to improve, check the data that's available, and map constraints: latency, regulation, infrastructure and integration.

    You get

    A discovery report: problem framing, data-readiness assessment, target KPIs, proposed architecture and a go/no-go recommendation.

    Decision point: Is there a measurable case worth proving?

  2. 02

    Prove

    3–6 weeks

    What happens

    We build a proof of concept on your historical data, inside your environment where needed, and benchmark it against your current process or model.

    You get

    A working model, a results report against the agreed KPIs, an explainability review and a costed production plan.

    Decision point: Does the lift justify a pilot?

  3. 03

    Pilot

    6–10 weeks

    What happens

    The system runs in shadow mode on live data alongside your existing process. Its decisions are logged and compared, not acted on. We integrate with your systems and harden the pipeline.

    You get

    Live performance evidence, integration in place, an operations runbook and model documentation for validation.

    Decision point: Ready to switch on?

  4. 04

    Deploy

    Go-live

    What happens

    Gradual rollout using champion/challenger or percentage traffic. We set up monitoring, alerting and a retraining pipeline, and train your team.

    You get

    A production system, dashboards, an audit trail and handover documentation.

  5. 05

    Evolve

    Ongoing

    What happens

    Drift monitoring, scheduled retraining, performance reviews and new use cases built on the same data foundation.

    You get

    Ongoing support, quarterly model reviews and a roadmap.

Engagement options

Choose how we work together

Project

Best for
One defined use case
Scope
Discover → Deploy
Pricing
Fixed price per phase

Partnership

Best for
An ongoing AI programme
Scope
All five steps, multiple use cases
Pricing
Retainer

Team extension

Best for
Strengthening your in-house team
Scope
Engineers embedded in your team
Pricing
Monthly per engineer

Deployment options

  • On-premiseIn your data centre
  • Private cloudYour AWS, Azure or GCP account
  • In-regionFor data-residency requirements
  • ManagedOperated by Synurix

What we need from you

  • A business owner who owns the decision and the KPI
  • Access to historical data, or a secure environment we can work in
  • An IT contact for integration and security review
  • Risk and compliance involved from the start, not at the end
Browse solution blueprints

Start with a discovery call.

Thirty minutes. No commitment. You'll leave with a clearer view of whether, and how, AI fits your problem.

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