Assess. Transform. Optimise.
Three pillars of Applied AI delivery - one nearshore team, from readiness to production.
One system, three ways in.
Assess
A two-week AI Readiness Assessment across your data, tooling, team, and workflows. You leave with a ranked opportunity map, scored feasibility per use case, and a phased delivery plan - not a deck of possibilities.
- Data & tooling audit
- Ranked opportunity map
- Architecture recommendation
Transform
Nearshore implementation squads that build, integrate, and land AI in production. Senior AI strategists, ML engineers, data architects, and adoption leads working in your timezone against contractual phase gates.
- Roadmap & architecture
- Production build & integration
- Adoption & enablement
Optimise
Production AI drifts. Retainers cover evaluation, monitoring, model and prompt tuning, cost optimisation, and continued build capacity so the system keeps compounding after handover.
- Evaluation & monitoring
- Cost and latency tuning
- Continued build capacity
From readiness to production - on phase gates.
Every Arktika engagement follows the same shape - nothing advances until the previous gate is signed off.
- 1Week 1-2
Readiness
Data, tooling, team, and workflow audit. Baselines set for every candidate use case.
- 2Week 3
Roadmap
Ranked opportunity map, architecture, sequencing, and a scoped delivery plan.
- 3Week 4+
Build
Nearshore squad ships the first production workstream against phase gates.
- 4Ongoing
Adopt & optimise
Enablement, usage instrumentation, then monitoring and tuning on retainer.
Ready to move from pilots to production?
Two weeks to a ranked opportunity map with scored feasibility and a delivery plan.