Plan an evaluation you can actually judge
Start from the workflow you want to change. We will tell you which product or delivery model applies, what it covers for your platforms, what it does not, and how we would know whether it worked.
Where enterprises start with us
Put AI into an engineering workflow without losing review
A scoped repository task, a diff, the checks that ran, and an engineer who decides. Automation bounded to what the team agreed.
Start this conversationModernise a BI estate you no longer fully understand
Inventory first, decisions second, migration third. Exceptions named and repaired rather than averaged away.
Start this conversationGive administrative decisions a clear line of authority
Inspect the enterprise context, prepare the request, and route the proposal to the administrator accountable for it.
Start this conversationBuild an internal product with engineers embedded in your team
Discovery, a validated pilot against agreed acceptance criteria, production delivery, and handover to your operators.
Start this conversationHow an evaluation runs
- 1
Say what you are trying to change
The workflow, who does it today, and what a better outcome would look like in measurable terms.
- 2
We scope what is evaluable
Which product or delivery model applies, what it covers for your platforms, and what it does not.
- 3
Agree the acceptance criteria before building
An evaluation set, the measures, and who accepts the result. Criteria agreed afterwards are not criteria.
- 4
Run a bounded evaluation
Representative data in an approved environment, with the failure paths exercised, not avoided.
- 5
Decide on the evidence
Accept, adjust the scope, or stop. The evaluation report says which, and why.
What we will give you to evaluate
Some of this is public; the detail for your specific configuration comes with a named owner attached. Ask for the current version — a matrix that is not dated is not useful.
Capability and scope
The product capability matrix, supported inputs and outputs, the limits, and when each capability was last demonstrated.
Data flow
Source systems, application services, model providers, artifacts, logs, and retention boundaries for the specific configuration.
Identity and permissions
Tenant and environment scope, secrets handling, and which responsibilities stay with a person for each product.
Deployment
The supported configurations, and who operates backups, upgrades, monitoring, and incidents in each of them.
Evaluation and rollout
The evaluation plan, acceptance measures, sample artifacts, rollout and handover plan, and the support scope that follows.
Documents
The contractual and security documents that exist, each with a named owner and its actual status.
Questions to settle before anyone builds
- Which environment will this run in, and who owns it?
- Which identity and network approvals are needed, and who grants them?
- Which model providers are acceptable for this data, and which are not?
- What happens when the system is wrong — who sees it, and what do they do?
- Who operates it after handover, and what support scope applies?