AI Compliance & Assurance (Government & Public Sector)

This page explains how DPACC.AI approaches the design, deployment, and operation of AI-enabled services for government and government-adjacent clients (including national/federal, state/provincial, local government, statutory authorities, and publicly funded organisations).

Our goal is to help clients deploy AI in a way that is transparent, accountable, contestable, and safe, while supporting client obligations under applicable privacy, security, and procurement requirements in the client’s jurisdiction.

“AI” on our website includes tools and workflows that may:

• Summarise or draft content.
• Answer questions conversationally.
• Classify or route enquiries.
• Assist with lead qualification and appointment scheduling.
• Automate parts of customer service and reporting.

For government deployments, DPACC.AI supports a model where:

• Humans remain responsible for outcomes that materially affect individuals, organisations, funding, access, eligibility, compliance actions, or other consequential decisions.
• AI is used as an assistive capability, not as the final authority for high-impact outcomes unless explicitly agreed, risk assessed, and governed by the client.
• We support escalation to a human when requested or when risk thresholds are met.

If an AI interaction, recommendation, classification, or outcome appears incorrect or unfair, a person must be able to challenge it and request review.

How to request human review:

Where AI is used in customer-facing experiences (voice, chat, SMS, email), we support:

• Clear notice that the user is interacting with an AI-enabled service.
• Clear instructions for requesting a human.
• Plain-language explanations of what the system can and can’t do.

For government deployments, DPACC.AI does not require (and does not request) users to input protected, classified, or highly sensitive information into AI interfaces.

DPACC.AI applies a risk-based assurance approach. That means controls and assurance effort scale with:

• The impact of the use case.
• The sensitivity of data involved.
• The level of automation.
• The likelihood and severity of harm if the system is wrong.

For government and high-impact use cases, we can support assurance activities such as:

• Use-case definition (purpose, limits, exclusions, intended users).
• Risk assessment (harms, bias/fairness considerations, failure modes).
• Testing (quality, safety, and regression checks prior to go-live).
• Monitoring (issues, drift, escalations, complaint patterns).
• Change control (material changes reviewed before release).
• Documentation suitable for procurement and governance.

Where relevant, we can align assurance artefacts to applicable government AI assurance frameworks and agency/state guidance as required by the client.

Depending on the deployment, we support controls such as:

• Defined system owner and escalation contacts.
• Access control to admin functions.
• Audit logging where available/required.
• Documented operating procedures and staff guidance.
• Training and acceptable-use rules for client users.
• Incident and issue management processes.

DPACC.AI supports government clients to meet obligations under applicable privacy requirements, which may include (depending on jurisdiction and client):

• National/federal privacy legislation and information privacy principles.
• State/provincial privacy legislation and information privacy principles.
• Sector-specific privacy rules (including health or regulated sectors where applicable).
• Contractual privacy clauses and procurement policies.

For deployments involving personal information, we can support:

• Privacy impact assessments (PIA/DPIA) where required by the client.
• Data minimisation (collect only what’s needed).
• Purpose limitation (use only for agreed purposes).
• Access and role controls.
• Retention and deletion rules aligned to client needs and law.

For government deployments, we support security practices proportionate to risk, which may include:

• Security threat and risk assessment appropriate to the solution and environment.
• Identity and access management controls.
• Logging and monitoring appropriate to the platform.
• Secure configuration and change management.
• Incident response and notification processes.
• Vendor/subprocessor risk review (where applicable).

Data location requirements vary by client and jurisdiction. Where a client requires specific hosting regions or residency controls, DPACC.AI will work with the client to:

• Identify which systems store/process data.
• Confirm available hosting/region options.
• Document the agreed data-flow and controls.

Government procurement often requires evidence beyond public website text. On request (and subject to client configuration), DPACC.AI can provide procurement-friendly summaries such as:

• System description and scope.
• Data-flow overview.
• Assurance/risk summary.
• Privacy controls summary.
• Security controls summary.
• Subcontractor/subprocessor summary.

These links are references only. Delivery is aligned to the client’s jurisdiction and contract requirements.