AI EaaS

As a Microsoft Global Training Partner, we support districts across the country in navigating AI and modern learning tools with confidence and care. Our work blends our expertise with Google EDU and Microsoft Elevate programs - always grounded in your district’s values and the wellbeing of your community. Together, we build systems where students thrive, educators feel supported, and leaders move forward with clarity.  

Questions Every Enterprise AI Team Must Answer Before Production

Manual reviews and subjective testing cannot catch every hallucination, regression, safety issue, or performance drop before release.

Are Your AI Responses Accurate and Grounded?

Evaluate accuracy, relevance, consistency, and grounding across real-world user scenarios before responses reach production.

Will Updates Break Existing AI Behavior?

Test how new models, prompts, data sources, and retrieval logic affect output quality before every release.

Can You Detect Risk Before It Reaches Users?

Identify hallucinations, unsafe responses, bias, prompt injection exposure, and compliance risks before deployment.

Can You Prove It's Ready?

Generate measurable quality scores, test evidence, and release-readiness reports that support confident production decisions.

WHAT WE DO

Evaluate Every Layer of Your Production AI Stack

AI quality cannot be measured by a single score. WCT evaluates every layer of your AI ecosystem from responses, retrieval, prompts, models and agents to safety, and release readiness to give your teams a complete view of production AI performance.

Response Quality

Ensure AI responses are accurate, relevant, complete, and aligned with business expectations across real-world interactions.

Safety & Security

Detect hallucinations, bias, toxicity, prompt injection risks, sensitive data exposure, and policy violations before they impact users.

AI Agents

Assess tool usage, multi-step reasoning, workflow execution, and decision-making to ensure agents perform reliably in production.

RAG Systems

Verify retrieval quality, grounded responses, contextual relevance, and citation accuracy to improve trust in AI-generated answers.

Models & Prompts

Compare models, prompts, and configurations to identify the combinations that consistently deliver the best outcomes.

Release Readiness

Continuously validate AI before every release with automated testing, regression detection, and governance checks that support confident deployment.

OUR APPROACH

From Evaluation to Continuous AI Assurance

WCT helps enterprises move from one-time AI testing to repeatable evaluation practices that validate every release, detect regressions, strengthen governance, and keep AI systems reliable as models, prompts, data, and agents evolve.

01 Assess

Establish a measurable baseline by evaluating AI applications, copilots, and agents against business objectives. Build golden datasets, identify quality and safety gaps, and define the benchmarks that guide every future release.

02 Operationalize

Embed continuous AI evaluation into your delivery pipeline with automated testing, regression analysis, and release validation across models, prompts, AI agents, and RAG systems.

03 Govern

Sustain AI quality with continuous monitoring, executive reporting, cross-model benchmarking, and governance practices that help ensure every deployment remains compliant, reliable, and production ready.

Service Engagements

Choose the engagement model that best aligns with your AI maturity, business priorities, and operational needs.

Evaluate

Operate

Scale

Evaluate

Best for teams preparing one AI application, copilot, RAG system, or agent for production.

Gain an objective understanding of AI quality, safety, and production readiness with a structured evaluation framework tailored to your business.

AI application readiness assessment
Quality, safety, and risk scorecard
Golden test dataset and evaluation criteria
Remediation and production-readiness roadmap

Operate

Best for teams that need continuous testing across models, prompts, releases, and changing data sources.

Embed repeatable evaluation practices into your AI delivery lifecycle to maintain consistent quality as models, prompts, and business needs evolve.

Continuous evaluation workflows
Model, prompt, and RAG benchmarking
Regression testing and release validation
AI quality dashboards and executive reports

Scale

Best for enterprises managing AI quality, governance, and oversight across multiple applications or business units.

Standardize AI quality, governance, and oversight across multiple applications, business units, and foundation models.

Enterprise AI governance
Multi-application evaluation
Compliance reporting
CI/CD & MLOps integration

Not sure which model fits your AI maturity?

Book an AI Evals consultation.

Find the Right Engagement Model

Why WCT

Why Enterprises Choose WCT for AI Assurance

WCT helps enterprises turn AI evaluation into an ongoing engineering and governance practice. We combine Microsoft cloud expertise, AI engineering, SRE practices, and enterprise governance experience to help teams evaluate, improve, and operate AI systems with confidence.

Our approach brings together the capabilities required to manage AI quality, risk, and reliability in production.

AI Evals

Define quality metrics, golden datasets, benchmarks, and evaluation workflows for AI applications, RAG systems, copilots, and agents.

AI Guardrails

Implement safety, security, policy, and compliance checks to reduce hallucination, sensitive data exposure, prompt injection, and unsafe response risks.

AI Reliability & Operations

Ensure consistent AI performance through reliability engineering, monitoring, release controls, and continuous improvement.

Continuous Monitoring

Track AI quality, safety, performance, and drift over time with dashboards, alerts, and executive-ready reporting.

PromptOps

Manage prompt testing, versioning, comparison, regression checks, and release validation as part of the AI delivery lifecycle.

AI Governance

Establish standards, oversight, reporting, and accountability for responsible AI adoption across teams, applications, and business units.

Outcomes That Matter

From Assumptions to Measurable Confidence

WCT helps teams replace subjective AI reviews with measurable quality evidence, risk visibility, and release-readiness insights so AI systems can be deployed, improved, and scaled with confidence.

Without Continuous AI Evals

Decisions rely on manual testing and subjective feedback.
Every release introduces uncertainty.
Problems are discovered after deployment.
AI readiness is based on assumptions rather than objective evidence

With WCT AI Assurance

Every release is validated against measurable quality standards.
Risks are identified before they impact users or business operations.
Performance is continuously monitored as AI evolves.
Changes are benchmarked to ensure every update moves AI forward.

Ready to Know if Your AI Is Production-Ready?

Get an expert-led assessment of your AI application, RAG system, copilot, or agent to identify quality gaps, safety risks, and release-readiness improvements before production.

The longer AI quality remains unmeasured, the harder it becomes to detect hallucinations, regressions, compliance gaps, and unsafe responses before they affect users.

Book Your Free AI Readiness Assessment

Thank you

for contacting us!

Our team will review your request and reach out shortly.

If you'd prefer to connect sooner, please click the button below to schedule a meeting at a time that works best for you.

Book Your Meeting

Oops! Something went wrong while submitting the form.

cognition.thrives (here);

WCT (WaferWire Cloud Technologies) partners with organizations to build AI-ready systems where human judgment thrives, technology serves people, and progress creates shared prosperity