Move a validated AI workflow into secure, governed operations
DigiScience turns pilot evidence into a production plan covering architecture, platform controls, integrations, evaluation, security, resilience, operating ownership, rollout, and measurable value.
Production scale-up path
Validate pilot evidence
Confirm business, quality, adoption, security, governance, cost, and feasibility results against the agreed success criteria.
Finalize production architecture
Define cloud services, data paths, integrations, environments, identity, private networking, resilience, observability, and capacity.
Industrialize delivery
Establish infrastructure as code, MLOps or LLMOps, evaluation gates, release approvals, deployment, rollback, and evidence.
Operationalize governance
Assign accountable owners, agent and model controls, human review, incidents, audit, monitoring, reporting, and periodic reviews.
Prepare users and operations
Complete testing, runbooks, support readiness, access, training, change adoption, service measures, and handover.
Roll out and optimize
Release in controlled stages, monitor value and risk, capture feedback, optimize quality and cost, and expand only after evidence.
Customer inputs
- Business problem and target workflow
- Current systems and data-source inventory
- Cloud platform and IT/security contacts
- Compliance or audit constraints
- Success metrics and decision stakeholders
- Sample data path approved by internal owners
DigiScience responsibilities
- Use-case scoring and pilot feasibility
- Secure AI architecture and governance design
- Implementation plan and delivery backlog
- Human approval, audit, and monitoring approach
- Success criteria and scale recommendation
- Handover documentation and operating guidance
Scale only with approved access and accountable operations
Credentials, secrets, regulated data, and production access are handled only through approved customer channels after scope, authorization, data classification, and security controls are agreed.
Discuss production scale-up