Service

DeepScan

Already running an Agentic AI application? We review it against a comprehensive set of functional and non-functional criteria — including security, scalability, relevance, ROI, and cost — and deliver a clear, prioritised report with actionable recommendations.

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What to Expect

At the end of a DeepScan engagement you will have a clear picture of where your system stands and exactly what to do next.

Security Assessment Agent permissions, data access patterns, prompt injection risks, and trust boundary analysis
Scale & Performance Evaluation Assessment of whether the system can handle growth in users, data volume, and agent complexity
Cost & ROI Analysis Review of token spend, infrastructure costs, and whether outcomes justify the investment
Relevance Check Honest assessment of whether the agents are solving the right problems and delivering real value
Prioritised Recommendations Report Clear, actionable next steps ranked by impact — delivered and walked through with your team

How It Works

A systematic review engagement designed to be thorough without being disruptive to your team.

01
Access & Onboarding DeepLens is given access to your system, codebase, run history, and relevant documentation. We align on the scope and agree which criteria matter most for your context.
02
Assessment A systematic review across all agreed criteria — security, scale, cost, relevance, and any domain-specific considerations. We look at the code, the data flows, and the runtime behaviour.
03
Analysis Findings are collated, cross-referenced, and prioritised by impact and effort. We distinguish between quick wins and structural issues that need longer-term attention.
04
Report Delivery The prioritised recommendations report is delivered and walked through with your team. We answer questions and help you plan next steps based on the findings.

What's Included

A comprehensive review covering every dimension that matters for a production Agentic AI system.

Security Review Permissions, data access, prompt injection risks, and trust boundaries
Scale & Performance Evaluate growth capacity across users, data, and agent complexity
Cost & ROI Token spend, infrastructure costs, and return on investment
Relevance Whether agents are solving the right problems and delivering real value
Prioritised Recommendations Actionable next steps ranked by impact, delivered as a clear report

* Depending on the complexity of the project. Pricing is agreed through direct scoping discussion.