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AI model evaluation and guardrails

Understand how your AI behaves before rollout.

Find failure modes before customers do and define how the application should behave under uncertainty.

AI model evaluation and guardrails - illustrative solution concept, not a client project
Project valueQuoted to scopeNo payment before scope agreement
DeliveryAgreed with your quoteScoped after discovery; after brief, access and approvals
Your first milestoneDefine the taskA useful review point before the next stage

Helpful, bounded and inspectable

Your sources, with permissions

Find failure modes before customers do and define how the application should behave under uncertainty.

Evaluation before rollout

The assistant needs more than a prompt. Data access, tool permissions, evaluation examples and escalation rules determine whether it belongs in a real business workflow.

Human approval where it matters

Human review and escalation keep the agreed task connected to the people responsible for it.

In our clients’ words.

“Considering I wanted a site done entirely in French, I am really impressed by the way the entire job went.”

“If you need someone reliable and trustworthy, ICM Tech. are the people you want to hire for your needs.”

“I am very satisfied with his work, communication, cooperation and dedication to his work.”

  • La Quinta
  • Candlewood Suites
  • Holiday Inn
  • Mitsubishi
  • Siddiqsons Industries
  • Aruba Networks
  • Atlassian
  • Catawiki
  • Cloudinary
  • Fitbit
  • Schoology
  • TaxSlayer
  • Toyota
  • BigCommerce
  • Instructure
  • (ISC)²
  • NETGEAR
  • Okta
  • Wise

WHAT YOU RECEIVE

Your AI model evaluation and guardrails project, clearly defined.

Teams with a repeatable knowledge or operational task and an owner who can review examples and decisions.

01

Evaluation dataset

Run agreed representative cases and record the outcome and remaining limitations. Results identify the tested environment and coverage; they do not imply that every device, attack or future business condition was tested.

02

Test runs and findings

Run agreed representative cases and record the outcome and remaining limitations. Results identify the tested environment and coverage; they do not imply that every device, attack or future business condition was tested.

03

Guardrail recommendations

Receive a prioritized written account of what was found or delivered, why it matters and what to do next. Where appropriate, include supporting examples and a distinction between included work and a future phase.

Scope and requirements

Coverage is bounded by the supplied tasks and risks; no model is guaranteed error-free.

Any additional work is scoped and priced for your approval.

THE DELIVERY PATH

From your brief to the finished work.

Follow the preparation, review and delivery stages for this service.

01

Define the task

List inputs, useful outputs, connected tools and actions that need human approval.

02

Build a testable slice

Review a working interaction with approved sample information.

03

Evaluate the edge cases

Test unsupported questions, failures and permissions as well as normal requests.

04

Release with oversight

Document usage costs, ownership, monitoring and escalation responsibilities.

A FEW THINGS WORTH KNOWING

Questions before
you start?

Ask the team ↗
What is included?

Includes Evaluation dataset, Test runs and findings and Guardrail recommendations. Coverage is bounded by the supplied tasks and risks; no model is guaranteed error-free.

Will the assistant always be correct?

No. We use task-specific evaluations, appropriate citations and human handoffs rather than claiming perfect accuracy.

Can it use confidential business information?

Only through an agreed data-handling and access design. We confirm providers, retention settings and permissions before connecting sensitive sources.

Are model and infrastructure charges included?

Implementation and ongoing usage are different costs. Your proposal identifies model, hosting and third-party subscriptions separately.

YOUR NEXT LEAP STARTS HERE

Ready to put AI model evaluation and guardrails to work?

Share the change you want to make. We will help turn it into a clear, practical project.

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