Consultation
ML Implementation Roadmap
A structured engagement that turns an AI idea into a sequenced build plan — data readiness, model choices, integration points, and ownership.
Product and engineering leaders often know they want machine learning in production, but lack a shared plan for data quality, evaluation, and handoff. Our flagship roadmap engagement interviews stakeholders, audits available datasets and labelling practices, and produces a phased implementation plan your teams can execute without us owning the codebase.
Who it is for
UK product and engineering teams preparing their first or second production ML feature
Result
A written roadmap with scope boundaries, model candidates, data gaps, and a twelve-week delivery sequence
Duration
Three to five weeks, depending on data access lead time
Delivery
Remote workshops with optional on-site days in the United Kingdom
Pricing basis
Fixed-fee packages from £8,400; larger multi-team programmes quoted
Included
- Stakeholder discovery workshops (up to three half-days)
- Data and labelling readiness review
- Model approach options with trade-offs
- Integration sketch against your existing services
- Risk register and go/no-go criteria
Not included
- Production model training or hosting
- Staff augmentation for coding sprints
- Purchasing or licensing of third-party ML vendors
Typical outcomes
- Shared vocabulary for data, labels, and evaluation
- Phased build sequence with owners named
- Explicit list of what not to automate yet