AI Business Solutions
AI Applications
Invoke's AI Applications practice builds the secure, governed foundation your custom AI applications and agents run on, with Microsoft Foundry on Azure. We set up an AI landing zone with network isolation, identity, policy guardrails and model-access approvals, put responsible AI controls and evaluations in place, govern the data applications can ground on, and make every application observable and cost-controlled. Your developers or build partners then build on that foundation, against acceptance criteria agreed up front.
- Solution Area
- AI Business Solutions
- Built on
- Microsoft Foundry, Microsoft Azure
- Who's involved
- Cloud platform, security, data and development teams
- How to work with us
- Invoke Advise and Invoke Engage
The challenge
Custom AI moves faster than the guardrails.
Teams want to build AI applications and agents now. Without a governed foundation, every project reinvents security, compliance and cost control, or skips them.
- No secure foundation
Models and agents get deployed on open networks with broad permissions.
- Compliance questions
Data residency, model approvals and audit evidence get answered one project at a time.
- Unsafe outputs
Without content safety, evaluation and red-teaming, harmful or wrong answers reach users.
- Runaway costs
Token and capacity spend grows without quotas, budgets or chargeback.
What we cover
8 capabilities, one practice.
Each area can stand alone or be part of a larger program. We start where the risk or the value is highest.
- AI Landing Zone
A governed Azure environment for AI: platform structure, RBAC, network isolation, identity baseline, policy guardrails, quotas, model-access approvals and data residency.
- Responsible AI Controls & Evaluation
Content safety, prompt protection, evaluations, red-teaming and the acceptance tests every application must pass before production.
- Data & Grounding Platform
Approved data sources, search and retrieval that applications may ground on, governed before development begins.
- AI Application Observability
Telemetry, tracing, performance and cost monitoring, so you can show what an application did and why.
- Model Lifecycle Management
Model versions, retirement and migration planning, drift monitoring and continuous evaluation.
- AI Platform Consumption Cost Management (FinOps)
Quotas, budgets, capacity decisions, unit economics and chargeback for tokens and AI capacity.
- Third-Party Build Assurance
Build partners onboarded into the governed environment with reference architectures, guardrails and acceptance criteria.
- AI-Assisted Software Development
GitHub Copilot rolled out with policies, content exclusions and secure-use guidance for your developers.
How we work
From priorities to results, in five stages.
Every engagement moves through the same stages, whether you start with an assessment or a full program.
- Stage 1 Align
Agree on outcomes, priorities and the people involved.
- Stage 2 Prepare
Assess readiness and design the target state.
- Stage 3 Enable
Deploy and configure the Microsoft capabilities.
- Stage 4 Adopt
Roll out to people and processes, with training and change support.
- Stage 5 Optimize
Measure results, tune and plan what comes next.
Why Invoke
Practitioners who work only on Microsoft.
Security built in
Identity, data and threat protection from our Security practice come with every rollout.
Foundation first
With a governed landing zone, every new AI application starts secure and compliant instead of being fixed later.
Microsoft only
We work only on Microsoft technology, so every design fits the rest of your Microsoft stack.
Recognized by Microsoft
- Launch partner
Microsoft Agent 365
Selected by Microsoft to deliver secure, governed AI agents to the enterprise.
Questions
AI Applications, answered.
What is AI Applications?
It's Invoke's practice for custom, pro-code AI: applications and agents built on Microsoft Foundry and Azure for line-of-business needs. It completes the AI Business Solutions area, alongside AI Workforce and AI Business Process.
What is an AI landing zone?
A governed Azure environment that is ready for AI workloads before anyone builds: resource structure, role-based access, private networking, identity, Azure Policy guardrails, quota planning, and approved models and regions. Every new AI application starts secure and compliant.
Does Invoke build the AI applications?
We build and run the secure foundation and the governance around it. Your developers or a build partner build the applications on that foundation, and we hold every application to the same security, responsible AI and acceptance criteria before it goes live.
How do you keep AI applications safe and compliant?
With content safety and prompt protection, evaluations and red-teaming before release, tracing and monitoring in production, and data security and threat protection for AI workloads from Microsoft Purview and Microsoft Defender for Cloud.
Talk to an AI platform practitioner.
Book a briefing to review where you are today and the next step that matters most.