AI assessments
Review the idea
before you build.
Get an independent AI readiness assessment before you commit budget. We review the idea, the existing software, or the data problem and give you written findings with a clear recommendation: build, fix it first, wait, or stop.
Discuss an assessmentA question is enough to start the conversation.
What would you like to assess?
Where could AI help our business?
AI Opportunity and Readiness Assessment
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Where could AI help our business?
AI Opportunity and Readiness Assessment
What we review
- Recurring tasks, handoffs, and exceptions that slow people down
- Available software, data, access, and ownership
- AI options alongside ordinary software and process changes
Findings and recommendations
- Prioritized opportunities with the reasons to pursue or skip each
- Feasibility findings, key risks, and missing prerequisites
- A recommended first test and outline of the next steps
- Your involvement
- A walkthrough with someone who knows the process, available examples, and a decision maker to confirm priorities.
- Typical timing
- Usually 1 to 2 weeks for a focused area. Broader organizations are scoped in stages.
- When to take another approach
- Already have a defined product or prototype? A product and system assessment can focus on how to build or improve it.
Is our product ready for the next step?
AI Product and System Assessment
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Is our product ready for the next step?
AI Product and System Assessment
What we review
- The user problem, product design, and whether AI is necessary
- Architecture, model quality, security, and whether the workload can run on site
- Tests, failure handling, deployment, and maintenance
Findings and recommendations
- An independent view of product fit and production readiness
- Prioritized fixes across quality, security, reliability, and cost
- Release criteria, deployment options, and a recommended build or improvement plan
- Your involvement
- A product walkthrough, relevant code or design material, and examples of what works and what fails. We agree on access first.
- Typical timing
- Usually 1 to 3 weeks, depending on how mature the product is, the access available, and how deep the technical review goes.
- When to take another approach
- If you are still deciding which problem to solve, start with opportunity and readiness. If unreliable data is the blocker, focus the review there.
Can AI agents use our software safely?
Agent-Ready Software Assessment
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Can AI agents use our software safely?
Agent-Ready Software Assessment
What we review
- One intended workflow, existing APIs, and the data agents would use
- Identity, permissions, restricted actions, and human approvals
- Agent compatibility, error recovery, audit records, and maintenance
Findings and recommendations
- A map of actions agents could use and those that should stay restricted
- Required interface, permission, and approval changes
- A pilot plan with testing, recovery, and ownership requirements
- Your involvement
- Access to the application and someone who knows it. Existing API documentation helps, but it does not need to be complete.
- Typical timing
- Usually 1 to 3 weeks for one product or system. Connected portfolios are assessed in stages.
- When to take another approach
- The application may need API, data, or identity repairs before agent access is worth pursuing. The review will identify those dependencies.
Is our data ready to support better decisions?
Data and Analytics Readiness Assessment
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Is our data ready to support better decisions?
Data and Analytics Readiness Assessment
What we review
- Sources, calculations, and how data reaches a report or model
- Conflicting definitions, quality problems, access, and ownership
- The reporting, forecasting, or AI decision the data must support
Findings and recommendations
- A map of the data flow and where trust breaks down
- Prioritized fixes for definitions, quality, and ownership
- A proposed data path and a first deliverable to validate it
- Your involvement
- A representative report or use case, sample data through agreed access, and someone who can explain how the numbers are used.
- Typical timing
- Usually 1 to 3 weeks for one data area. More sources or disputed definitions can extend the review.
- When to take another approach
- If the data is dependable but the product or model is not, a product and system assessment is a better fit.
What happens during the assessment
You bring the question.
Bring a question, idea, or problem. Before starting, we agree on what to review, who needs to be involved, and the price.
We investigate.
We review your examples, inspect the systems, and test the important assumptions. Your team shows us how things work and provides the agreed access.
We review the findings together.
We explain what we found, what needs attention, and what we would do next. That may mean AI, simpler software, or no build at all.
Written findings
What we found, what needs fixing, and what to do next. You get the risks and the reasons behind the recommendation, with no obligation to hire us for the build.
Common questions
How much time will our team need to give?
We agree on participation before starting. Usually we need an initial walkthrough, access to relevant people and material, answers to follow-up questions, and a review of the findings. We lead the investigation; your team does not need to prepare an assessment of its own.
Do we need documentation or a finished brief?
No. Tell us what you want to understand and show us what you have. We identify missing information together. Gaps in documentation or access can affect the review’s scope and timing.
How long does an assessment take, and what does it cost?
Focused assessments usually take 1 to 3 weeks once scope and access are agreed. Time and cost depend on breadth, the condition of the systems, the number of data sources, security needs, and any specialist review. We agree on both before starting, and larger reviews can be staged.
Can you review someone else’s software or sensitive material?
Yes, we can assess software built by another team. We agree on information handling first and request only what the review needs. Sanitized examples, controlled access, or review within your environment may be appropriate. Do not send credentials or sensitive data in the inquiry form.
Are we committing to an implementation project?
No. The assessment stands on its own. You receive written findings and a recommendation you can use with us, your own team, or another provider. It may recommend a smaller change, waiting, or not proceeding.
What are you trying to decide?
A few sentences are enough. You do not need to choose an assessment yet.
We’ll follow up to clarify the question and agree on a scope. Sending a note does not commit you to an assessment.