AI → hours saved
Repetitive processes, triage, integrations and operational tasks that AI and automation can take over.
Technology → money saved
Cloud, Kubernetes, databases, observability, SaaS, managed services, open source alternatives and AI spend.
Result → 30/60/90 roadmap
Each opportunity prioritized by impact, effort, risk and payback, with an implementation plan.
Cost diagnostic or full assessment?
Technology cost diagnostic
Analyzes spending: one cloud account and up to three SaaS tools, with prioritized savings opportunities and an action plan. Best when the question is where the money is going.
See the cost diagnosticAI & Technology Efficiency Assessment
Combines costs with AI and automation opportunities: besides technology savings, it maps manual processes that can become hours saved, with business cases and a 30/60/90 roadmap. Best when you want the full picture of costs and productivity.
What we analyze
Operational efficiency
- Manual and repetitive processes
- Integrations and flows between systems
- Triage, support and document analysis
- AI agent and automation opportunities
Technology efficiency
- Cloud, Kubernetes and infrastructure
- Databases, storage and observability
- Duplicated or expensive SaaS, licenses and managed services
- Open source alternatives evaluated by TCO
- AI spend: models, tokens and agents
What you get
- AI and automation opportunity map
- Cost analysis of cloud, infrastructure and SaaS
- Open source alternatives evaluated by TCO
- Impact, effort, risk and payback estimates
- 30/60/90-day roadmap and implementation plan
How it works
- 01
Day 1 · Kickoff
Initial meeting and collection of context and data.
- 02
Day 2 · AI and automation
Analysis of processes and of AI and automation opportunities.
- 03
Day 3 · Technology and costs
Analysis of technology, costs and architecture.
- 04
Day 4 · Prioritization
Prioritization and business cases with gain, effort, risk and payback.
- 05
Day 5 · Delivery
Report, 30/60/90 roadmap and a presentation meeting.
What fits in five days
- Up to 3 operational processes analyzed
- 1 cloud account and 1 environment (for example, one Kubernetes cluster)
- Up to 5 SaaS tools or licenses
- Up to 3 short interviews with key people
The timeline counts from receiving the access, exports and information needed. A larger scope is agreed in a proposal.
What we need from you
- An initial meeting
- Access to or exports of costs (cloud, SaaS, licenses)
- A high-level view of the architecture
- Selected processes to analyze
- Key people available for short interviews
Who it is for
- Companies with a technical team, cloud or in-house systems and meaningful costs
- Operations with manual processes that consume your team's hours
- CTOs, heads of engineering and CEOs of smaller companies
Who it is not for
- Teams that have already chosen the tool and only need a one-off implementation
- Operations without meaningful costs or processes to analyze yet
Results from real projects
- ~US$18K/monthless in infrastructure costs
- -45% MTTRwith integrated observability
- -40% deploy timewith standardized GitOps pipelines
- ~15 h/weeksaved with automation and AI
Results from past projects, not a guarantee of future outcomes.
See Technology Cost OptimizationReady to find where the opportunities are?
An initial conversation to understand your context and see whether the assessment makes sense.
Results from past projects are not a guarantee of future outcomes.