From blank check to fixed price.
From six-month roadmap to days only deployment.
Deployed. Sovereign. In your Azure tenant. Not a roadmap.
You have a board AI mandate and a stalled Copilot rollout. The consultancy that took the last engagement delivered a roadmap deck and an invoice. You carry the career risk when it fails to reach production. You need production code in your Azure tenant: fixed price, fixed scope, on the procurement path you already have. Stop paying for human-hours. Start renting manufactured output.
Same workload.
Two delivery models.
Two very different invoices.
A regulated FinTech onboarding pipeline. Microsoft 2026 stack. Standard governance posture. The same pattern holds for NHS data pipelines, legal document automation, and manufacturing AI integrations. Here is what your two procurement paths actually cost.
Illustrative comparison. SI line items modelled from typical mid-market £150k–£200k engagement; Talastron line items from published Tier 2 (Talastron Kinetic AI) and Tier 3 (Talastron Kinetic Nexus) pricing. Your engagement scope and pricing confirmed during demonstration.
Six stages. Five checkpoints.
12 agents build; your team signs off.
The Talastron Spec-Driven Engineering Platform's 12 Agentic AI Agents run continuously under Gated Engineering with Scoring — every artifact is scored before it advances. You retain procurement authority and architectural signoff at five fixed checkpoints. Your team's role is governance, not assembly.
You can show your board a fixed-price commitment with a days only milestone. Your security architect inspects every artifact at every gate. Your CFO sees the line items before signoff. No discovery surprises, no mid-engagement scope explosions, no contract variations.
Full oversight at every gate. Not just at handover.
While the autonomous factory manufactures your architecture, your IT leadership team receives a live telemetry dashboard from day one. You are not waiting for a status update; you are watching the factory work.
- Token burn tracking: monitor AI resource consumption in real time
- Agent reasoning audit trail: inspect every decision the factory makes
- Gated Engineering with Scoring: every artifact is scored before it advances, and your team signs off at the five checkpoints that matter
You retain full governance authority. The factory does the heavy lifting.
Burn down your Azure MACC.
Clear your backlog.
100% of Talastron Kinetic AI and Kinetic Nexus fees count toward MACC.
The factory runs entirely inside your native Microsoft ecosystem, so your annual Azure Consumption Commitment absorbs the cost. You bypass IT procurement queues by using budget you have already committed.
Example: A £500k MACC commitment comfortably funds a Talastron Kinetic AI platform rent (£24,000–£66,000/yr) alongside a full Talastron Kinetic Nexus agent-workforce build (£40,000 initial, £28,000 per subsequent build), all from budget you have already committed to Microsoft.
Transact natively using your existing cloud agreements. 100% MACC-eligible. Available immediately via Azure Private Offer to match your exact scope.
Leverages Talastron's integration with the Microsoft ISV Success framework. No new vendor onboarding. Your existing Microsoft Account Executive routes engagement milestones through partner procurement paths, using the commercial relationship you already have in place.
Fixed-price packages managed via standard enterprise statement of work. Outcome-based success criteria tied directly to your days only delivery milestone.
From live demonstration to signed Statement of Work: typically 5–7 working days via Azure Marketplace Private Offer. No procurement committee. No new vendor onboarding. No additional legal review cycle.
The questions your legal and
security teams will ask.
Who owns the IP and the code the factory generates?
You do. All generated code, architecture artefacts, and documentation are deployed into your own Azure tenant from day one. Talastron retains no copy, no licence, and no ongoing access to your environment after the as-built handover.
What happens if we need changes after deployment?
Post-deployment changes are handled through a new engagement run through the same gated delivery pipeline. There are no open-ended retainers or change-order mechanisms; every change is a fixed-price, gated delivery. This eliminates the scope creep risk entirely.
Is the output ISO 27001 and AI Act compliant out of the box?
Every deployment passes through the Talastron Spec-Driven Engineering Platform's Gated Engineering with Scoring, validated against ISO 27001 and the EU AI Act. The compliance report ships as part of the as-built handover documentation at Gate 5.
Can this be funded through our existing Azure MACC commitment?
Yes. Talastron Kinetic AI is transactable via the Azure Marketplace, making 100% of the subscription cost eligible for MACC burn-down. Your procurement team can process the engagement without a new vendor onboarding cycle.
What does our team actually need to do during the engagement?
Five checkpoint reviews. Each is a structured sign-off session, not a working session. Your team's role is governance and approval. The Talastron Spec-Driven Engineering Platform's 12 Agentic AI Agents handle all architecture, code generation, compliance checking, and documentation between checkpoints.
The next move costs you
an afternoon, not a quarter.
We do not run sales calls. The live demonstration is a working session: you bring a real requirement, we build a working architecture, and you walk out with a spec and a fixed-price commitment.
- You share a real requirement from your current backlog
- We build a working architecture live in your Azure environment
- You leave with a written specification and a fixed-price commitment
- No follow-up pitch cycle. No discovery phase invoice.