MANAGED AI OPERATIONS

Production is the beginning, not the finish.

AI systems, vendors, costs and risks change. Shofield can help operate the management layer required to keep production AI useful, controlled and aligned to the business.

Discuss Managed AI Operations

OPERATING SYSTEM

Manage performance, risk, cost and change.

The operating scope is defined around the technologies deployed, the customer operating model and the level of ongoing responsibility contracted to Shofield and specialist partners.

Monitor

Availability, exceptions, quality signals, usage, cost and operational performance.

Evaluate

Model and workflow behaviour against defined business, safety and quality criteria.

Govern

Permissions, changes, incidents, vendor decisions, data boundaries and documented accountability.

Optimise

Prompts, retrieval, models, workflows, integrations, human review and operating economics.

Support

Technical coordination, issue triage, escalation and production-change management.

Expand

Prioritise and deploy additional workflows using the established architecture and controls.

CLEAR ACCOUNTABILITY

Know who owns every production decision.

Customer, Shofield and technology-partner responsibilities are defined before operation begins. Consequential decisions, legal authority and business ownership remain with the appropriate human stakeholders.

Customer: Business outcome, policy, data authority, risk acceptance and operational ownership.
Shofield: Coordinated monitoring, evaluation, optimisation, governance support and programme management as contracted.
Technology partners: Product operation, specialist support, infrastructure and engineering responsibilities under their agreed scope.

FROM AI AMBITION TO REAL-WORLD IMPACT

Create an operating model that survives production.

Tell us what your organisation has already tested, what is preventing deployment and what business result needs to be achieved.

Discuss an AI Initiative