How we deliver yourMicrosoft AI and Agent Platform
We design, build and run your Microsoft AI and Agent Platform: advice, assessment, build and operation, with Kinetic AI doing the engineering.
- Predictive insights
- Generative AI
- Intelligent automation
- Digital twin
- AI agents
- Robotic workers
Most AI stalls between the boardroom and the platform.
Four steps close the gap, and each one leaves you with something you own.
01
Advise
Led by the Chief AI Strategist and the Chief AI Architect
Where do we start, and who owns it?
- Readiness & Blueprint
- Proof of Value scoping
- Fractional Chief AI Architect
- AI strategy & business case
Every engagement starts with a four-week, fixed-fee Readiness & Blueprint
02
Assess
Agentic Discovery
Are we ready, and what is missing?
Powered by Kinetic AI · results in weeks
Kinetic AI listens, specifies and audits03
Build
Pre-built Solutions
How do we build it quickly and safely?
Proven accelerators + agentic engineering
Kinetic AI builds and deploys04
Operate
Manage & Optimise
Is it secure, compliant and paying back?
Always-on management tools in your tenant
Kinetic AI hands overYour ambition, delivered
- Predictive insights
- Generative AI
- Intelligent automation
- Digital twin
- AI agents
- Robotic workers
Continuous improvement: live insight feeds the next assessment
Your Microsoft AI and Agent Platform Azure · Microsoft Foundry · Microsoft Fabric · Microsoft 365 Copilot · Copilot Studio · Entra ID · Purview
The four layers
Four layers, from board-level advice to operation, with Kinetic AI doing the engineering and governance running through every one.
Advise
Chief AI Strategist and Chief AI Architect: two senior roles lead from the first conversation, one for the business and one for the technology.
- Readiness & Blueprint, 4 weeks
- Proof of Value scoping
- Fractional Chief AI Architect
Assess
Agentic Discovery: your estate, data and people measured against what agents need, with results in weeks.
- Infrastructure and data
- AI and agents
- Risk, compliance and governance
Build
Agents grounded in Microsoft IQ, on secure landing zones, from proven accelerators and agentic engineering.
- Secure AI landing zones
- Fabric IQ for trusted AI
- AI agent solutions
Operate
Always-on management tools in your tenant: secure, compliant and paying back, and kept current as the business changes.
- Continuous CAF and WAF alignment
- AI FinOps and ROI tracking
- AI operations and managed services
Where Kinetic AIcomes in
Kinetic AI is our governed software factory. Its agents run Assess and Build inside your own Azure tenant, and nothing moves on until your people sign it off at a gate.
- Entra ID role-based access
- Key Vault, customer-managed keys
- Private endpoints throughout
- Azure AI Search · OneLake · Logic Apps
- Azure Verified Modules first
Topology inside the UK South perimeter
- Deny · public IP addresses
- Deny · unencrypted storage
- Deny · regions outside the UK
- Modify · tagging enforced
Read from your Azure Policy assignments
- Azure Verified Modules verified
- No secrets in code, private endpoints enforced
- As-built runbook and compliance report issued
Well-Architected score 8 of 10 · 0 critical · 1 high
- Talastron and Kinetic AI
- Your people
- A gate: the work waits for a signature
Questions and answers
- Where does an engagement with Talastron start?
- Every engagement starts with a four-week, fixed-fee Readiness & Blueprint. It answers three board questions: are we ready, what should we build first, and what will it cost to run safely on Azure.
- Who leads the work?
- Two senior roles lead from the first conversation: the Chief AI Strategist for the business, and the Chief AI Architect for the technology. Each deliverable names its owner.
- Which Microsoft services does Talastron work with?
- Azure, Microsoft Foundry, Microsoft Fabric, Microsoft 365 Copilot, Copilot Studio, Entra ID and Purview: the Microsoft AI and agent platform, from the data estate to the agents.
- Does the work happen in our own tenant?
- Yes. Talastron Kinetic AI runs Assess and Build inside your own Azure tenant, and your own Azure DevOps pipelines deploy the result.
- What do we own at the end?
- After the Readiness & Blueprint, seven artefacts and a board decision on what to do next. After a build, the code, the record and the runbook.
Not sure whereto start?
Tell us where you are today, and we’ll recommend the right starting point.
