AI consultingservices

Two to four weeks immersed in your business context: data audit, stakeholder workshops, and an AI opportunity assessment ranking use cases by impact and feasibility.

Technical architecture, data pipeline requirements, modeling approach and success criteria, validated by a proof of concept on a representative slice of your data before full-scale commitment.

Models trained and rigorously evaluated against the agreed metrics, in regular checkpoints. No black box: we work iteratively and transparently, incorporating your feedback throughout.

Integration into production, team training, monitoring frameworks, and a defined support period to fine-tune against real-world edge cases until full operational ownership.

Consultants who have shipped AI into production and lived with the consequences. A 95%-accurate model your teams distrust is worth less than an 85% one they use every day.

Decisions documented, methodology explained, knowledge transferred. The goal is an organization that can lead its next AI initiative from within.

If a use case is not viable, we tell you. If a simpler solution achieves the same result, we say so. Our reputation depends on outcomes, not billed projects.

A claims fraud detection model that cut manual review workload by 38% while increasing fraud recovery, delivered ahead of schedule.

Predictive maintenance with 72-hour failure lead time across three production lines, since expanded to all twelve.

An OCR + NLP pipeline for unstructured loan documents that paid for itself within the first quarter of operation.

Discovery and assessment: two to four weeks. A full implementation, from solution design through deployment: three to nine months, with a detailed timeline at proposal stage and regular checkpoints throughout.

Not a perfectly clean dataset. Discovery includes a data readiness assessment; if significant preparation is needed, it goes into the project plan rather than being treated as a blocker.

We prefer it: collaborative engagements mean smoother integration, faster adoption and real knowledge transfer. We can also operate independently, always documenting for future handover.

We work within your security frameworks, sign NDAs as standard, and can operate entirely within your infrastructure. Client data is never used to train models for other clients.

We tell you before you invest. When a simpler solution achieves the same outcome, we recommend it. When AI is premature, we help build the foundations that will make a future initiative succeed.