Live AI solutions need steady small changes. A team wants a new question answered, a policy document changes, an agent needs one more action, or a form field moves in a connected system. Each change is small, but raising a new project for every request is slow and costly. The AI Development Support Retainer gives you a block of AI engineering time to use on demand. You send requests through one channel, we estimate them, agree priority with you and deliver against the retainer.
Microsoft Partner
Fast Small Changes
Get enhancements and fixes delivered without new procurement for each request.
Flexible Capacity
Draw on engineering time as your backlog needs it.
Specialist Skills
Access engineers who work on the Microsoft AI stack every day.
Controlled Releases
Every change is tested, documented and released safely.
No Surprise Projects
Larger requests are flagged early and scoped separately.
The retainer covers the everyday engineering work that keeps live AI solutions useful as your business changes.
Agent & Copilot Studio Changes
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Custom AI App Enhancements
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Knowledge & Data Updates
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Integration & Automation Tweaks
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Backlog Planning & Reporting
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We add or update topics, instructions, knowledge sources and actions in Copilot Studio and Microsoft 365 agents, then test the agent against your agreed questions. Changes are released in a controlled way after your approval.
We make small feature changes to AI apps and agents on Microsoft Foundry, from new prompts and tools to user interface updates and integration fixes. Each change is tested in a non-production environment first.
We refresh document sources, search indexes and connectors when content, systems or permissions change, so answers stay accurate and grounded. We also check that permissions still match who should see the content.
We adjust Power Automate flows, connectors and APIs linked to your AI when connected systems change, are upgraded or are replaced. Each change is tested end to end before release.
We keep a visible backlog, estimate each request, agree priorities with you and report the time used and work delivered every month, with a short note on upcoming requests. You always know what's in progress, what's next and how much capacity remains.
Small changes reach users in days, not project cycles. Teams don't wait for the next project.
One retainer replaces repeated small procurements. Procurement effort drops noticeably.
Solutions keep pace with your processes, content and systems. Users keep finding them useful.
Specialists handle AI changes your team may lack time or skills for. Your people stay focused on core work.
Monthly reporting shows exactly how capacity was used. Nothing is hidden in the numbers.
Small changes reach users in days, not project cycles. Teams don't wait for the next project.
One retainer replaces repeated small procurements. Procurement effort drops noticeably.
Solutions keep pace with your processes, content and systems. Users keep finding them useful.
Specialists handle AI changes your team may lack time or skills for. Your people stay focused on core work.
Monthly reporting shows exactly how capacity was used. Nothing is hidden in the numbers.
Share your current AI backlog. We'll suggest a retainer size that fits and show how requests move from idea to release.








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Learn moreIt is a block of AI engineering capacity you draw on as needed. Instead of raising a new project for each small change, you send requests to one channel and we estimate, prioritise and deliver them. It covers enhancements, fixes and updates to Copilot Studio agents, Microsoft 365 agents and custom AI apps.
Blocks are sized to match your expected volume of change and agreed upfront as [block size and rollover rule]. Each request is estimated and approved before work starts, and monthly reports show the time used, work delivered and capacity remaining.
Turnaround depends on size and priority. Small changes are planned into the next available slot in the backlog, and urgent requests can be moved forward by agreement with your product owner. Standard turnaround targets are set out in your service schedule as [turnaround targets].
Changes extend or adjust an existing solution, such as a new agent action, prompt update or connector fix. New solutions, major redesigns or work needing new architecture are scoped as separate projects. If a request grows beyond the retainer, we tell you early and provide a clear proposal.
The development retainer is on demand: you decide what's needed and we deliver it. Our AI Continuous Improvement service is proactive: we review usage and value each quarter and recommend what to improve. Some organisations use both, combining a planned improvement rhythm with flexible capacity for ad hoc requests.
Our engineers work with Copilot Studio, Microsoft 365 agents, Power Platform, Microsoft Foundry, Azure OpenAI and Azure AI Search, building in .NET and Next.js with GitHub Copilot as part of their workflow. If your solution uses other tools, we confirm coverage during onboarding before the retainer starts.
Yes. We support organisations across Australia, including Sydney, Melbourne, Adelaide and Wollongong. Service is delivered remotely by our Microsoft AI team, with local account management. Coverage is provided during [support hours and coverage], and all work follows the scope and response commitments agreed in your service schedule.
Book a free consultation with our experts today. We'll analyze your current infrastructure and provide actionable recommendations.