AI Governance & Operations
AI governance services and AI operations: define accountable owners, policies, access controls, human approvals, evaluations, monitoring, incident response, and ongoing improvement.
Typical timeline: 2 to 4 weeks for a scoped governance review and 3 to 6 months to implement agreed controls across a defined group of systems, depending on scope. No fixed public price or default 24/7 support. Deliverables, monitoring coverage, response expectations, schedule, and fee are agreed before work begins.
Überblick
AI governance defines how an organization chooses, approves, uses, and oversees its AI systems. AI operations put those decisions into practice after launch. We help identify the systems and use cases in scope, assign accountable owners, assess risks, define access and approval rules, and decide how performance and incidents will be reviewed. For production systems, we can set up or provide agreed monitoring, evaluation refreshes, issue response, change review, and maintenance. The work can cover systems built by SISTA, your own team, or another provider. We focus on controls that fit the system's use and impact, then make the operating responsibilities visible to the people who own them.
Unser Angebot
The engagement starts with an inventory of the AI systems and use cases in scope: who owns them, who uses them, which models and providers they depend on, what data and tools they can access, and what decisions they influence. We assess impact and failure scenarios with business, technical, security, privacy, and compliance stakeholders. We then document policies, roles, acceptable use, access boundaries, human oversight, approval paths, evaluation requirements, release criteria, and review responsibilities. Evaluations may cover answer quality, accuracy, robustness, safety, bias or fairness, privacy, security, and policy adherence where relevant to the system. For live AI, operations may monitor availability, latency, cost, quality signals, model or prompt changes, access, incidents, and agreed business measures. We define alert thresholds, escalation owners, investigation records, and how a system can be paused, rolled back, or changed when controls fail. The result is a governance and operating approach that teams can actually run, with clear documentation and review cadence. Mapping controls to your obligations is not a legal opinion, compliance certification, or guarantee of regulatory approval. Specific 24/7 support, response times, legal advice, and enterprise-wide control platforms require separate scope and written service levels.
Zentrale Fähigkeiten
AI system inventory, use-case risk assessment, and accountable ownership
Policies, access boundaries, human oversight, and approval controls
Quality, safety, privacy, security, and policy evaluations where relevant
Production monitoring, incident response, change review, and maintenance
Geschäftlicher Mehrwert
Greifbare Ergebnisse, die für Ihr Unternehmen zählen.
Know which AI systems are in use and who is responsible for them
Match controls and reviews to each system's real use and impact
Give operators a defined way to detect, investigate, and respond to issues
Ideale Anwendungsfälle
Set governance for a new AI assistant, agent, or model before it reaches staff or customers. Review an AI application built by another provider and identify its data, tool, access, approval, and monitoring boundaries. Establish a repeatable evaluation and release process for teams updating prompts, models, or connected tools. Add operating visibility for production systems where quality, availability, cost, or risk can change over time. Create a defined incident path for unsafe or unreliable behavior, including who investigates, who can pause a system, and how stakeholders are informed. Organization-wide legal compliance programs and continuous 24/7 AI operations are larger scopes that require explicit ownership and service levels.
Ergebnisse, die wir erzielen
An inventory of in-scope systems, use cases, models, data, tools, and owners
Risk and impact assessment with prioritized actions and documented assumptions
Policies, decision rights, access boundaries, approval rules, and human oversight procedures
Evaluation plan, representative test cases, release thresholds, and review triggers
Monitoring, issue triage, escalation, pause or rollback, and change procedures
Named operating owners, reporting cadence, maintenance scope, and improvement roadmap
Unsere Methodik
Assign owners, define controls, then operate and review each system.
Inventory AI systems and uses, assess impact and operating risk, assign accountable owners, define policies and controls, agree evaluations and release thresholds, put monitoring and incident routines in place, then review performance and changes on an agreed cadence.
Wirkung & Wirtschaftlichkeit
Womit Sie rechnen können, bevor Sie sich festlegen.
System accountability
Owners named for in-scope systems
Record system purpose, business owner, model and provider, data/tools, users, and deployment status.
Control verification
Defined for use and impact
Track approved access, evaluations, human approvals, release checks, and evidence for each system.
Operational review
Cadence agreed in scope
Review availability, quality, cost, incidents, changes, and assigned follow-up actions.
Optionen der Zusammenarbeit
Zeitlich begrenzt, mit klarer Verantwortung, kostenbewusst.
Governance Readiness Review
2 to 4 weeks, scope dependentReview one AI system or a defined portfolio, identify owners and risks, map current controls, and agree the highest-priority governance actions.
Ergebnisse
System inventory, risk and control findings, priority gaps, evaluation needs, and a written implementation plan.
Governance & Operations Setup
3 to 6 months, scope dependentImplement the agreed policies, access and approval controls, evaluations, monitoring, and incident procedures for a defined group of AI systems.
Ergebnisse
Named roles, documented controls, release checks, monitoring and incident runbooks, reporting cadence, and team handover.
Run & Scale
Ongoing, scoped monthlyReview agreed AI systems and operating signals, handle scoped issues, assess system changes, and improve controls on a defined schedule.
Ergebnisse
Agreed monitoring coverage, review reports, issue coordination, evaluation refreshes, change reviews, and control improvements.
Illustrative governance and operations example
Example onlyExample: putting a customer-support copilot under review
- Governance: record the use case, support owner, model, data sources, permitted actions, customer-data rules, and when an employee must review an answer.
- Release: test representative support questions, policy edge cases, restricted information, and draft ticket updates against agreed quality and safety thresholds.
- Operations: review quality and access alerts, route incidents to named owners, and pause or roll back the feature if agreed controls fail. This is an illustrative example, not a client project or measured result.
Risiko & Compliance
Name a business owner for each system and define who can approve use, changes, and exceptions.
Use tests and controls suited to the system's actual purpose and impact; do not claim that a generic checklist proves safety.
Document system versions, data and tool access, evaluation evidence, incidents, decisions, and changes.
Agree monitoring hours, alert routes, escalation, pause or rollback authority, and response terms before operations start.
Passt das zu Ihnen?
Klarheit, bevor Sie sich festlegenPasst gut
- You use or plan to use AI systems and need named owners, defined controls, and a repeatable review process.
- You can provide system documentation, stakeholder access, and a person accountable for each use case.
- You want post-launch monitoring or support with measurable coverage and responsibilities.
Passt nicht
- You need a legal opinion, certification, or guarantee of compliance from a technical governance engagement.
- You expect 24/7 monitoring or a specific response SLA without defining a funded support schedule.
- There is no accountable owner who can approve system use, access, or changes.
Nach der Zusammenarbeit
Wir lassen Sie nicht im StichHandover names owners, control evidence, evaluation results, monitoring scope, and incident procedures.
Run & Scale can cover agreed reviews, system changes, issues, maintenance, and monitoring after launch.
Reassess controls when models, prompts, data, suppliers, users, or system purposes change.
Zentrale Ergebnisse
AI system and use-case register with owners, models, providers, data, tools, users, and deployment status
Risk and impact review covering intended use, affected people or processes, dependencies, and failure scenarios
Governance policy, acceptable-use guidance, roles, decision rights, and approval matrix
Control map for identity, data and tool access, human oversight, logging, and change approval
Evaluation plan, sample test cases, release checks, and defined review triggers
Operational monitoring plan for agreed availability, quality, cost, change, and incident signals
So arbeiten wir
Seven steps from system inventory to ongoing review.
Das erwartet Sie
- Agree the systems, use cases, business owners, risk scope, and operating responsibilities.
- Keep policies, evaluation evidence, access decisions, incidents, and system changes traceable.
- Receive usable controls, named owners, operational procedures, and a review cadence.
Inventory systems and use cases
Record each system's purpose, users, business owner, model and provider, data and tools, deployment location, and current operating status.
Assess impact and risk
Review intended use, affected people or operations, access, likely failure modes, dependencies, and existing policies with accountable stakeholders.
Assign owners and decision rights
Agree who approves a use case, owns its controls, reviews outputs, handles exceptions, and can pause or retire the system.
Define policies and operating controls
Set acceptable use, data and tool permissions, human review, logging, change approval, and supplier or model review for the scoped systems.
Set evaluations and release checks
Create representative tests and agreed quality, safety, privacy, security, and policy thresholds for the system's intended use.
Put monitoring and incident response in place
Define signals, alert thresholds, review cadence, investigation records, escalation owners, and pause or recovery procedures.
Review, report, and improve
Revisit controls when the model, prompt, data, tools, purpose, or risk changes. Report agreed results and prioritize the next action with system owners.
Häufig gestellte Fragen
Klicken Sie, um Antworten einzublenden01What is included in AI governance and operations?+
02Can you assess or operate AI systems built by another provider?+
03Does your service certify legal or regulatory compliance?+
04What controls are important for AI agents?+
05How do you evaluate AI quality and safety?+
06What do you monitor after an AI system launches?+
07What happens when the system fails a check or produces a risky result?+
08How long does governance work take, and what does it cost?+
Do you know who owns each AI system after launch?
Tell us what AI systems are in use, what decisions they support, and how they are monitored today. We will help define a governance review or operating scope with clear owners, controls, evaluation criteria, and support expectations.