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Governed AI · Step 2 · Build

Governed from day one.Not retrofitted after the audit.

A fixed-scope foundation that turns your Azure environment into a place you can safely run agents: identity, data controls, policy guardrails and audit trails, built in from the start.

The Problem

Teams build agents, then panic at launch

Because they realise there is nothing underneath them. The value was never in the pilot. It is in everything below it: data classification, access control, knowing what tools touch what information, and why.

The boring stuff is what makes the interesting stuff safe. Skip it, and your first "successful" agent becomes the thing you cannot explain to an auditor.

Deliverables

What's Included

fingerprint

Identity & Access

Microsoft Entra Agent ID gives every agent a traceable identity with lifecycle management, Conditional Access scoped to agent interactions, and RBAC templates for your teams.

database

Data Governance

Microsoft Purview DLP policies for agent prompts and responses, sensitivity-label inheritance, and an agent-aware view of your data posture.

policy

Security & Compliance

Defender for Cloud AI-aware policies, Content Safety baselines including prompt-injection mitigation, and policy-as-code governing every agent resource.

monitoring

Observability

Agent activity and tracing set up from day one, a red-teaming baseline, and an audit trail built for evidence rather than reconstructed after the fact.

foundation

Foundation

Private networking option (bring your own VNet), storage for agent state and memory, secrets in Key Vault, and subscription vending so teams spin up governed environments in hours.

handshake

Handover

Governance playbook, operational runbooks, naming and approval workflows, plus knowledge transfer to your team. The IaC repository is yours, and 30 days of support are included.

Who It's For

Moving your first agents into production

Organisations that need to prove their agents are governed before they go live, whether those agents are built in Microsoft Foundry, Copilot Studio, or a third-party framework.

Typically a natural follow-on from the Readiness Assessment, so the foundation is built from evidence rather than assumptions. Firms that already know their gaps can start here directly.

Outcomes
rocket_launch

A production-ready, governed runtime agents can deploy into safely

rule_settings

Policy enforced automatically, so governance is not a manual approval bottleneck

receipt_long

An audit-ready trail of agent activity and decisions

speed

Faster, safer provisioning: teams get autonomy without losing control

Investment

Fixed price, tiered by scope

Foundation
from £35,000

1-2 subscriptions, 1-2 agent teams

Standard
from £45,000

3-5 subscriptions, multiple workloads

Extended
from £55,000

6+ subscriptions, multi-region

Every tier includes hands-on delivery and 30 days of post-handover support. Additional agent deployments are quoted per scope. Discounted when it follows a Readiness Assessment.

Questions

Frequently asked questions

What engineering leads ask us most often about the Governed AI Landing Zone.

We build agents in Copilot Studio, not Foundry. Does this still apply?

add

Yes. The governance layer, identity, data controls, policy and audit, applies regardless of where agents are built: Microsoft Foundry, Copilot Studio, Power Platform, or a third-party framework. Agents get a traceable identity, their data access is controlled through Purview, and their activity is logged for evidence, whatever produced them.

What licences do we need in place before the build?

add

Three things: Microsoft Entra ID P1 or P2 (required for the agent identity and Conditional Access model), Microsoft Purview for data governance, and Microsoft Defender for Cloud paid plans for security posture. If any of these are not licensed yet, tell us early. It is a prerequisite and affects what the foundation can enforce.

Do you replace our DevOps team?

add

No. We design and build the foundation, then hand it over: the infrastructure-as-code repository becomes yours, along with the policy set, a governance playbook, operational runbooks, and a knowledge-transfer session. Thirty days of post-handover support are included so your team is never left holding something they were not shown how to run.

How disruptive is the build to our existing environment?

add

Minimal by design. The build follows a strict design-first sequence: nothing is deployed until the high-level and low-level designs are signed off in writing by your named approver. Guardrails are deployed as policy-as-code with a defined scope, so existing workloads are not swept up unintentionally, and networking changes are surfaced early because they carry the most elapsed-time risk.

After the Build · Step 3

Ongoing AI Governance

The foundation only stays compliant if someone owns it. The retainer keeps your estate governed as agents, models and regulation keep moving.

arrow_forward

THE FOUNDATION THAT MAKES
AI SAFE TO SCALE.

Talk to us about your agent estate, your licensing position, and what a governed foundation looks like for your environment.