Estma services
Three core offers. One delivery system.
Start with quality, inference or infrastructure. Five supporting capabilities extend the engagement when the product, security, workflow or operating boundary requires them.
Core offers
The commercial resource and the operating work around it.
Each offer can stand alone or connect to the others as one production AI engagement.
Quality evidence + release control
AI evaluation and observability
Turn quality from a subjective demo reaction into a repeatable operating system of datasets, evaluators, trace review and production signals.
First engagement
Evaluation baseline / 3–5 weeks
Annual API capacity + usage controls
Model inference capacity
Plan and put in place annual model API capacity for an AI product, with usage forecasts, provider fit, quotas, cost controls and the integration work that makes the capacity usable.
First engagement
Capacity forecast / 1–2 weeks
Compute, storage + operated infrastructure
Cloud capacity programmes
Turn forecast compute, GPU, storage and managed-service demand into an annual cloud capacity plan, then provision, monitor and optimise the environment around it.
First engagement
Cloud capacity baseline / 2–3 weeks
Supporting capabilities
What makes the core offer work.
Implementation, security, automation, technical governance and cloud operations are brought into scope when they strengthen the primary outcome.
AI implementation
Move a useful AI idea from prototype to an owned production system, with the integrations, controls, evaluation and handover it needs to survive real use.
First engagement: Architecture sprint, 2–3 weeks
AI security
Assess and improve the security of AI-enabled applications across prompts, data, APIs, identities, tools and cloud infrastructure—not only the model endpoint.
First engagement: AI security assessment, 2–4 weeks
Governance support
Translate AI policy and risk expectations into inventories, decision records, controls, evidence and operating responsibilities a team can actually maintain.
First engagement: Governance baseline, 3–5 weeks
Automation
Replace brittle manual handoffs with observable workflows that connect the tools a team already uses, preserve approvals and handle exceptions deliberately.
First engagement: Automation discovery, 1–2 weeks
IT and cloud
Create the access, deployment, monitoring, backup and support layer that lets a small team run modern software and AI services without avoidable operational fragility.
First engagement: Operational baseline, 2–3 weeks
If the category is unclear
Name the decision, not the service.
- Can this AI workflow be released?
- Implementation + evaluation + security
- Why does quality keep changing?
- Evaluation + observability
- Can this agent act safely?
- Security + implementation + governance
- Should this process be automated?
- Automation + cloud operations
- Can we show how this system is controlled?
- Governance + evaluation + security
- How much model or cloud capacity should we commit to?
- Capacity forecast + provisioning + cost controls
No polished brief required