AI Readiness Assessment
For organizations selecting use cases, validating readiness, or preparing an investment roadmap.
View assessment →How we deliver
From business priority to governed AI production
DigiScience uses a staged delivery model that reduces uncertainty early, proves value before scale, and keeps security, governance, cloud architecture, and operations connected throughout the engagement.
The delivery journey
01
Discover
Clarify the workflow, stakeholder, pain, baseline, expected result, data sources, constraints, urgency, and decision path.
02
Assess
Score business value, data and integration readiness, cloud posture, security, responsible AI risk, and pilot feasibility.
03
Prove
Build and validate one controlled AI workflow with success metrics, user review, architecture, monitoring, and governance.
04
Scale
Industrialize the platform, integrations, LLMOps or MLOps, controls, operating model, resilience, adoption, and cost governance.
Choose the right starting point
45-Day AI Pilot
For leadership teams that have a promising workflow and need practical evidence before production investment.
View pilot →Production Scale-Up
For validated solutions requiring secure platforms, integrations, governance, operations, rollout, and handover.
View scale-up path →Decision gates
Value gate
Is the workflow important, measurable, owned, and suitable for AI assistance?
Is the workflow important, measurable, owned, and suitable for AI assistance?
Readiness gate
Are the data, integration, platform, security, and stakeholders ready for a controlled proof?
Are the data, integration, platform, security, and stakeholders ready for a controlled proof?
Pilot gate
Did the solution meet agreed quality, adoption, control, cost, and business criteria?
Did the solution meet agreed quality, adoption, control, cost, and business criteria?
Scale gate
Is the operating model ready to support secure and reliable production use?
Is the operating model ready to support secure and reliable production use?
Engagement principles
Clear ownership, bounded scope, measurable acceptance criteria, approved data paths, security by design, human accountability, evidence-linked decisions, transparent dependencies, and production readiness before broad rollout.
View engagement models →Start with the smallest engagement that can produce a useful decision
DigiScience will recommend the appropriate path after understanding the workflow, readiness, risk, and decision timeline.
Book an AI Strategy Call