Services & pricing
Make the next
move count.
A growing cloud bill. A fragile platform. Work your team repeats every week. We help you understand the problem, agree the scope, and put a practical improvement into operation.
Fixed scope is preferred wherever inputs and acceptance criteria can be bounded.
Engagements & pricing
A clear scope.
A useful outcome.
Choose the starting point that fits. Inclusions and boundaries are agreed before delivery begins.
Cloud Cost Optimization
For teams that need a defensible view of cloud cost drivers, waste hypotheses, ownership and the remediation order that matters most.
- 90-minute deep-dive and evidence framing
- Billing/workload evidence review
- Prioritized optimization backlog with owners
- Expected impact, assumptions and validation method
Savings remain modeled or estimated until implemented and validated against an agreed baseline. Implementation is separately scoped unless included in the signed engagement.
GitOps & DevSecOps Platform
For engineering teams that need a reliable, observable and secure delivery/platform capability with documented controls and operable handover.
- Discovery and target architecture
- Agreed implementation and delivery controls
- Testable reliability/recovery acceptance criteria
- Runbooks, validation evidence and handover
Milestones are tied to agreed deliverables and acceptance evidence. Delivery-time or service-level commitments apply only when explicitly defined in the signed scope.
AI Automation / RAG / LLMOps Pilot
For a bounded workflow where automation must be measurable, observable and able to fail safely with human handoff where judgment is required.
- Workflow and model/integration design
- Pilot implementation with acceptance tests
- Quality, failure, cost/latency controls where relevant
- Observability, runbooks and handover
Final scope and price depend on evidence access, integrations, operating risk and acceptance criteria. Production scale-out is separately scoped unless explicitly included.
The operating loop
From the first question to a working handover.
A shared process keeps the work focused, testable and ready for the people who will run it.
- 01
Frame
Agree the decision and the outcome that matters.
- 02
Understand
Review the systems, costs and evidence available.
- 03
Deliver
Build the smallest useful intervention.
- 04
Measure
Check the result against the agreed baseline.
- 05
Hand over
Make ownership, runbooks and next steps clear.
Engagement model
Commercial terms follow the evidence boundary.
Fixed scope is preferred where inputs and acceptance criteria can be bounded. Larger implementations use milestones; managed work starts only after a measurable baseline and service boundary exist.
Diagnose first
A fit call or assessment identifies the decision and evidence needed before implementation expands.
Explicit scope
Inclusions, exclusions, acceptance criteria and change control are written down.
Evidence-backed outcomes
Estimates and modeled savings state assumptions; realized results require validation.
No hidden guarantees
Refunds, service levels, timing and performance commitments exist only when their conditions are in the approved scope.
The boundary
What Tayoca will and will not claim.
Savings are presented as modeled or estimated until they are implemented and measured against an agreed baseline.
Delivery timelines are tied to agreed milestones, not to optimistic best cases.
Service-level commitments apply only where they are written into the signed scope.
AI and automation work ships with defined failure behaviour, observability and a named human escalation path.
Case studies and quantified outcomes are published only after evidence, disclosure, approval and scope checks.
Not sure which engagement fits?
Use the assessment ladder to separate a cost problem, reliability problem or automation opportunity before committing to implementation.