Microsoft Solutions Partner
Agents that act, with guardrails
Dedicated Technology Teams
Years
Dedicated Team Clients
Cloud, App, Data, AI & Enterprise Platform Specialists
Built across the major agent ecosystems
Copilot Studio
Azure AI Foundry
AWS Bedrock
Google Vertex AI
OpenAI
LangChain / LangGraph
When Specialist Technology Skills Are Hard to Hire
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Hired a specialist, trained them up, and lost them to a bigger offer in 6 months?
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IT team stretched too thin — everyone’s doing everything, nothing’s done well?
What We Do
Specialist Talent Without the Hiring Burden
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Specialists, not generalists
Every dedicated engineer is certified and experienced in their domain — Azure, M365, security, DevOps, or AI. Not a junior learning on your time.
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Productive in days, not months
Our engineers onboard to your environment in days, not the 3–7 months of hiring + ramping an in-house hire.
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No retention risk
Reduce continuity risk with replacement planning, structured handover, documentation, and access-controlled onboarding when team changes are needed.
Your priorities, your direction
Dedicated engineers work on what YOU need, under your management. Not a shared resource or a ticket queue — they’re your team.
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Scale up and down
Add engineers when you need capacity, scale back when you don’t. No severance, no notice periods, no drama.
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Backed by 50+ specialists
Every dedicated engineer is backed by our full bench of 50+ specialists — if they need help, the team is behind them.
Our Services & Capabilities
Engagement Models
| Model | Best for | How it works |
|---|---|---|
Time & Material |
Variable scope, evolving priorities, ongoing technical work | Dedicated engineers work against an agreed daily or hourly rate, with transparent tracking and regular reviews. |
Fixed Fee | Defined deliverables, clear acceptance criteria, known timelines | Star Knowledge estimates the scope, delivery plan, team, and commercial commitment before work starts. |
Resource on Demand | Short-term specialist capacity or burst requirements | Add specific roles when you need them, then scale down based on workload and agreed terms. |
Dedicated Team | Longer-term embedded capacity across one or more technology domains | Engineers work as part of your team, using your tools, priorities, and cadence, with Star Knowledge providing quality management and continuity support. |
Team Engagement Model
| Your situation | Best-fit model | What you get |
|---|---|---|
Need a specialist now, can’t wait to hire | Dedicated engineer (1+) | Productive in days, not months |
Ongoing capacity gap in one domain | Dedicated team (role-specific) | Continuous specialist coverage |
Multiple skills needed, one team | Blended dedicated team | Azure + M365 + security etc — one team |
Defined project with clear deliverables | Project consulting (not this page) | |
24/7 monitoring and operational coverage | Managed services (not this page) | Operational coverage → /24-7-managed-service/ |
IT team stretched — need more capacity across the board | Dedicated team + managed services | Specialists + operational coverage combined |
Can’t hire/retain cybersecurity or AI — market is dry | Dedicated security or AI engineer | Hardest roles solved without the hiring war |
Not sure whether you need a dedicated team, a project, or managed services? A free consultation will clarify the right model.
Dedicated Team Types / Service Catalog
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Dedicated Team Types / Service Catalog
Dedicated Team Types / Service Catalog
Typical skills: Azure architecture · Landing zones · Migration · AKS / Kubernetes · Networking · FinOps · Defender for Cloud
Certified: AZ-104, AZ-305, AZ-500, AZ-700
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Dedicated Microsoft 365 Engineers
Microsoft 365 specialists managing Exchange, Teams, SharePoint, security, compliance, and Copilot enablement.
Typical skills: Exchange Online · Teams · SharePoint · Intune · Purview · Copilot · Licensing
Certified: MS-102, MS-700, MS-900, SC-400
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Dedicated Infrastructure Support Engineers
Infrastructure specialists managing servers, networking, storage, backup, disaster recovery, monitoring, and patching.
Typical skills: Windows / Linux server · Networking · Storage · Backup & DR · Monitoring · Patching · Hybrid
Certified: AZ-104, AZ-800, AZ-801, CCNA (where relevant)
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Dedicated DevOps Engineers
DevOps specialists building CI/CD pipelines, Infrastructure as Code, containerisation, and release automation.
Typical skills: Azure DevOps / GitHub Actions · Terraform / Bicep · Docker / Kubernetes · CI/CD · IaC · Monitoring
Certified: AZ-400, AZ-305, CKA (where relevant)
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Dedicated Cybersecurity Engineers
Security specialists hardening environments, managing Defender and Sentinel, responding to incidents, and maintaining security posture.
Typical skills: Defender for Endpoint / Cloud / Identity · Microsoft Sentinel · Incident response · Threat hunting · Entra ID security · Vulnerability management
Certified: SC-200, SC-300, SC-400, AZ-500
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Dedicated AI Engineers / Copilot Engineers
AI specialists delivering Copilot, Azure OpenAI, RAG, agents, custom models, and AI foundations. Build AI agents capable of multi-step reasoning, tool calling, API integration, data analysis, and autonomous workflow execution.
Typical skills: Azure OpenAI · Copilot Studio · Copilot enablement · RAG & grounding · AI agents · TensorFlow / PyTorch · Prompt engineering · MLOp
Certified: AI-102, DP-100, AZ-305 + practical AI delivery experience
Methodology / How Dedicated Teams Work
Free consultation & needs assessment
We discuss what skills you need, the gaps in your team, and how many engineers would close them. No cost, no obligation.
Team design & matching
We design the right team structure and match engineers by skill, certification, seniority, and fit — you interview and approve.
Onboarding to your environment
Your dedicated engineers onboard to your systems, processes, and team — typically productive within 1–2 weeks.
Embedded operations
Engineers work on your priorities, under your direction, as part of your team. Daily standups, your tools, your cadence.
Continuous quality & support
We manage engineer performance, provide backup, and ensure continuity. If someone leaves, we replace them — no disruption.
Scale & adjust
Add or change engineers as your needs evolve. Scale up for projects, scale back when work slows. No long-term lock-in.
Regular reviews
We review the engagement monthly — skills, utilisation, satisfaction — and adjust to keep the team right-sized and effective.
It starts with a free consultation. No obligation, no commitment.
Why Star Knowledge Dedicated Teams
| Criteria | Star Knowledge Dedicated | In-House Hire | Generic Contractor |
|---|---|---|---|
Time to productive | 1–2 weeks | 3–7 months (hire + ramp) | 2–4 weeks, learning curve |
Specialisation | Certified, domain-deep | Depends on who you find | Variable |
Retention risk | None — we replace seamlessly | High — market is competitive | Contract ends, knowledge leaves |
Bench & backup | 50+ specialists behind them | No backup | No backup |
Cost predictability | Fixed monthly | Salary + benefits + overhead | Hourly, unpredictable |
Scalability | Add/remove in weeks | Hire/fire cycle | Re-procurement |
Microsoft depth | Solutions Partner, certified | Whatever they know | Generic |
Management overhead | Managed by us | Full management burden | Managed by you |
Case Studies
SaaS company, 100+ cloud workloads.
Couldn’t hire Azure or DevOps engineers fast enough to support a scaling product — 6 months of failed recruiting.
Embedded a 3-person dedicated team within 2 weeks. Engineers integrated into sprints, managed Azure, and built CI/CD pipelines.
Financial services firm, 400+ users.
1 Cybersecurity Engineer (Senior)
Needed a dedicated security engineer for Defender, Sentinel, and incident response — couldn’t compete with market salaries.
Embedded a dedicated cybersecurity engineer managing threat detection, Sentinel tuning, and security posture.
Professional services firm, 300+ users.
1 M365 Engineer (Senior) + 1 AI/Copilot Engineer
No in-house M365 expertise beyond basic admin, and Copilot enablement required specialist skills nobody had.
Embedded a blended team: M365 engineer for tenant optimisation and a Copilot engineer for AI enablement.
Industries We Serve
Financial Services
Dedicated security and compliance engineers
Healthcare
M365 and infrastructure engineers for HIPAA environments
Technology & SaaS
Azure, DevOps, and AI engineers for scaling products
Professional Services
M365 and Copilot engineers for modern work
Manufacturing
Infrastructure and Azure engineers for multi-site operations
Retail
Infrastructure and M365 engineers for HQ and stores
Legal
M365 security and compliance specialists
Non-profits
Cost-effective specialist capacity
From a single dedicated engineer to a blended team of 6+, we scale to your needs.
Insights
Freshness Signal / Talent Shortage Context
In 2026, the technology talent shortage is worse than ever — and it’s concentrated in exactly the skills organisations need most: cybersecurity, AI/Copilot, cloud architecture, and DevOps. Hiring timelines for these roles stretch to 4–6 months, salaries are at all-time highs, and retention averages under 2 years. Every month without the right specialist is a month of risk, missed opportunity, or both.
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Cybersecurity engineers — demand far exceeds supply; the #1 unfilled IT role globally
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Is a dedicated team cheaper than hiring in-house?
For general knowledge, yes. For business workflows, private data and production use, no. A custom AI application connects a selected model to your approved data sources, business systems and security controls. RAG, access control, audit logging, evaluation and monitoring make the experience reliable enough for enterprise use.
Frequently Asked Questions
What are dedicated technology teams, and how do they work?
Dedicated technology teams are embedded, specialist engineers who work as part of your team, on your priorities, under your direction — for as long as you need them. Star Knowledge provides certified Azure, M365, infrastructure, DevOps, cybersecurity, and AI/Copilot engineers who onboard to your environment in 1–2 weeks and deliver continuous specialist capacity.
How is this different from project consulting or managed services?
Project consulting delivers a scoped outcome (e.g. a migration or deployment). Managed services provide operational monitoring and response (e.g. 24/7 coverage). Dedicated teams provide ongoing specialist capacity on your priorities — they work on whatever you need, day-to-day, embedded in your team. Different model, different value.
Do I manage the engineers, or does Star Knowledge?
You direct their work — priorities, tasks, and daily management. We manage quality, performance, backup, and continuity. It’s a shared model: you get full control of what they do; we ensure they’re the right people doing it well.
What if a dedicated engineer doesn't work out, or leaves?
We replace them — quickly and without disruption. If an engineer isn’t the right fit, we swap them. If someone leaves Star Knowledge, we provide a replacement with handover so you don’t lose continuity. No re-hiring, no gap.
How much do dedicated engineers cost?
Dedicated engineer pricing is typically estimated at $400–$600 per day. Final pricing depends on role, seniority, duration, required technologies, coverage needs, and whether the engagement is T&M, fixed fee, resource on demand, or a dedicated team model. A consultation produces a tailored proposal.
How fast can you provide an engineer?
Typically 1–3 weeks from agreement to a productive, embedded engineer. Faster than any in-house hiring process. For common roles (M365, Azure, infrastructure) we often match within a week.
Can I interview and approve the engineer before they start?
Yes. We shortlist matched candidates, you interview, and you approve. If the first match isn’t right, we find another. You’re choosing your team member, not accepting whoever’s available.
Can I scale the team up or down?
Yes — that’s a core advantage. Add engineers when projects ramp up; reduce when work slows. No severance, no notice periods beyond the agreed terms. Flex and part-time options are also available.
Book My Dedicated Team
Tell us the task you have in mind. We’ll assess whether an agent suits it, at what autonomy level, and what the first step should be.
- No cost, no obligation
- Typically responds within 4 business hours
- Confidential — your data isn't shared
Typically responds within 8 business hours · Confidential